9 account based marketing (ABM) tactics to help maximize your ROI

We get it. Account based marketing (ABM) on paper sounds like a great idea. All you have to do is create a campaign that targets a specific account or set of accounts, track the results and adjust your strategy as needed.

But where do you start? What ABM tactics should you use? And how do you use them in a way that stands out from all of your competitors using the same tactics? 

Good questions—especially since research from MarketingProfs shows that organizations that have sales and marketing teams aligned on an account-based marketing strategy have seen up to a 208% increase in marketing revenue

In this blog post, we’ve put together a list of 9 ABM tactics that you can use to maximize the ROI of your account based marketing efforts. These tactics will go from foundational strategies like creating account-specific content to more innovative tactics like leveraging social media channels like LinkedIn and Twitter.

But before we dive into each of those tactics, let’s start with a few of the basics of account based marketing to ensure we’re all on the same page.

 

What is account based marketing?

Account based marketing (aka ABM) is a B2B-focused marketing strategy that puts customer relationships at the center of its efforts. It’s a way for you to build more profitable customer relationships and increase your sales pipeline with high-fit target accounts.

Unlike traditional B2B marketing, which focuses on mass outreach to as many people as possible, ABM is a targeted approach that enables businesses to build personal relationships with their ideal customers.

 

How to identify which accounts to target with account based marketing tactics

Want to save yourself some time? Consider using advanced marketing technology to quickly identify which accounts fit your company best. Typically, this type of technology employs predictive analytics, AI and machine learning to narrow down your ideal target market.

For example, Rev’s Sales Development Platform that uses AI to identify the most likely to convert accounts. Our platform identifies these accounts by comparing them to your current list of best customers using exegraphic data.

What’s that? Exegraphic data is any type of data point that gives you information on how a company operates and executes its mission. For example, exegraphics can give you insight into a company’s current hiring trends, how likely the CEO is to adopt new technologies and how the organization communicates its brand value to the public.

You can use this type of information to identify accounts similar to those already converted, increasing the likelihood of success for your account-based marketing tactics.

Once you’ve identified accounts that fit your criteria, it’s time to start engaging with them by crafting tailored ABM campaigns using sales and marketing tactics like the ones discussed below.

 

9 ABM tactics to maximize ROI 

Do your marketing and sales teams already have a decent target account list? Great! Here are 9 account based marketing tactics to help you maximize ROI and get the most out of your efforts.

 

#1 Use exegraphic data to refine your ICP

Your ideal customer profile (ICP) is the foundation of any successful ABM strategy. By leveraging the exegraphic data you found while building your target account list, you can also develop a more detailed picture of your ICP. Doing so will help ensure you create campaigns that resonate with your target audience.

For example, you can use exegraphics to identify the pain points and motivators most influential to key decision makers when they consider purchasing a new product or service. With this information, you can avoid ineffective marketing efforts and wasting time and resources on accounts that are not a good fit.

 

#2 Develop personalized content for each account

Has a friend ever sent you a personalized invitation to a party or event? If so, chances are that extra effort made you feel special and appreciated—and made it more likely you’d show up! The same concept applies to account based marketing.

Showing a target account that you’ve taken the time to craft personalized content for them can help build their trust and loyalty to your brand. How do you do this? Personalized content can come in many forms: custom videos, emails, social media posts and more. 

Just make sure it’s tailored to a target account’s specific business goals and needs, which you can find by looking at their exegraphics.

 

#3 Create account-specific offers or exclusive events

Imagine your favorite store has a sale. Would you rather get a generic coupon or one tailored to your specific interests, giving you a personalized customer experience? We know that we’d prefer the latter! The same logic applies to B2B account based marketing.

By creating account-specific offers or exclusive events showing your target accounts that you treat them differently, you can demonstrate your commitment to meeting their needs. This could be anything from an exclusive discount, a free trial period, or a free webinar or seminar to discuss ways your solution can help solve the account’s unique problems.

 

#4 Create account-level customer portals

Want to make a target account really feel special? Create a dedicated portal or app that gives them access to exclusive resources tailored to their unique needs. This portal can provide them with product updates, usage metrics and customer service resources.

Sure, this tactic requires some upfront work, but the rewards are worth it. Account-level customer portals can help you increase engagement and loyalty with target accounts by providing a one-stop shop for all their needs.

 

#5 Engage with the social media profiles of key accounts

Want your target accounts to know who you are before you reach out? How about wanting them to remember the value of your offer without needing to endlessly follow up? Well, have members of your sales and marketing teams engage with their social media profiles!

How? It’s easy! Go to a social media platform like LinkedIn or Twitter to follow their accounts, comment on their posts and share their content to make your company visible.

Why does this work? Because it shows that you’re paying attention to their business and care about what they have to say. You may even find yourself connecting with potential decision makers or influencers in the process.

 

#6 Perform website personalization for prospects and customers

One way to make your target accounts feel special is by personalizing their experience when they visit your website. This could include highlighting case studies relevant to their line of work, recommending products or services tailored to their specific needs or even providing a personalized landing page for each account. 

For example, a personalized landing page might include the company logo, visuals that are relevant to their industry and communication tailored to their specific account. This way, you can show them that you understand their needs, have solutions ready for them and make them feel like they’re being treated as an important part of your business.

 

#7 Develop influencer outreach programs

Influencers can play an essential role in an account based marketing strategy by helping to drive awareness of your brand and generate interest in your products or services. To succeed with this strategy, start by identifying relevant influencers to each of your target accounts. 

Then, you’ll develop outreach programs tailored to the needs of each influencer, including information on how they can help your brand stand out and the benefits of working with you.

For example, you could offer special discounts, early access to new products, or even exclusive sneak previews of upcoming features. By getting to know your target influencers and what they’re interested in, you can create more meaningful relationships that will benefit your company, the influencer and your target accounts.

 

#8 Use direct mail to reach out to decision makers

Direct mail is dead, right? Wrong! Despite its old-school reputation, direct mail is still an effective way to reach decision makers within your target accounts. You can use direct mailers to communicate your USP, deliver information about a new product or service and even provide exclusive deals.

For example, let’s imagine you work for a software company that offers a specialized customer relationship management (CRM) platform for enterprise technology companies. You can use exegraphic data to determine what qualities they look for when hiring the sales reps that will use their current CRM to manage customer relationships.

Once you have that information, you can craft a direct mail that offers a free trial of your platform for these companies, highlighting information that speaks to their specific needs regarding sales reps.

 

#9 Use retargeting ads to put your message in front of decision makers

Retargeting is another excellent ABM tactic that allows you to place ads directly in front of your target audience, no matter where they are online. These digital ads can also serve as a reminder that your product can provide the solutions they need.

As an example, let’s say one of your target accounts has recently visited a page about one of your products. You can then serve them with an ad that promotes the benefits of that product and how it can help them solve their unique problem.

Remember to personalize these ads with insights from exegraphic data to make them even more effective. For instance, your ad could speak directly about the account’s current pain points or how your product can help them meet their current objectives.

 

Final thoughts

Account based marketing is an effective way to get more out of customer relationships and increase customer loyalty. With the right ABM tactics, you can develop strategies tailored to specific accounts, track customer interactions, and create personalized marketing campaigns to help reach your company’s sales and revenue goals.

But to give your account based marketing strategy the best chance of succeeding, start by ensuring you’re targeting the high value accounts most likely to convert. How do you do that? We’ll show you!

Contact us, and we’ll show the exegraphics behind your best customers and provide you with a list of businesses that operate and behave just like them!

It’s time to improve your aim

Most revenue teams have more prospects in their CRM than they can handle. The problem, frankly, is not building up contact lists—the problem is maximizing the pipeline to identify the best prospects and engage them effectively.

The sub-par prospects that clog your pipeline still consume resources but are more unlikely ever to close. If they do close, they’re less likely to renew or become your best customers.

Our research at Rev shows that only 18% of most companies’ pipelines actually match their ICP. Meanwhile, up to 65% of five-star opportunities get straight-up missed.

Those averages are outstanding in baseball, but horrendous in your revenue functions. The culprit? Most companies don’t actually know what their real ideal customer looks like. Their ICP is incomplete. And if they can’t identify their best prospects, they certainly won’t connect with them.

Developing a high-quality, high-efficiency pipeline starts with improving the fitness of your prospects—and your aim in targeting them. After all, your aim—the percent of accounts in your pipeline that match your ICP—matters, and it should be a key metric you track. When you spend more of your resources engaging with the right prospects, the ones most likely to close and become great customers, the entire journey downstream runs more smoothly. What company doesn’t need that, especially today?

If you’re wondering how to track your aim and how to improve it, you’re in luck. This article will guide you through everything you need to know to get started.

 

Step 1: Identify the characteristics of your best customers

When you think about your best customers, what traits come to mind? Too many revenue teams still rely on firmographics to understand the traits of their best customers. Broad categories like industry, location, size and revenue don’t actually reveal much about the inner workings of companies and how they execute their missions.

B2C companies have been riding this train for years now. They moved beyond demographics to psychographics to better predict what individual customers want to buy. In the B2B world, you need equivalent insights to really understand your best customers (and, in turn, your best prospects). 

Exegraphics provide those demand signals. They are, essentially, any piece of information you could want to know about a company, gleaned through AI-driven analyses in three ways.

  1. Exegraphics focus on a company’s positioning in its industry and the value it brings to market.
  2. Exegraphics also evaluate the functions of the people internal to an organization, including how those functions are prioritized.
  3. Exegraphics then account for trends over time to better predict where a company is headed.

 

Exegraphic data digs beyond superficial indicators to evaluate broad organizational behaviors and patterns. You might have two companies that appear identical on the outside: same industry, comparable products, equivalent workforce. Yet they might operate entirely differently on the inside—and those inner workings effectively make them completely different customers.

Evaluating your existing best customers in these ways helps you understand what really makes them tick, and thus, what you really want to look for in a top prospect.

 

Step 2: Build a dynamic ICP

Exegraphics are precise data points. Any one of them, taken in isolation, may not mean much. But a collection of hundreds of exegraphics accomplishes what a traditional ICP hopes to: it builds a complete and thorough picture of how your actual best customers behave, and what they are most likely to need.

Even better? Exegraphics, by their very nature, enable revenue teams to create dynamic ICPs that continuously improve. (At Rev, we call these aiCPs—AI-driven ideal customer profiles.) These are ICPs that embody the current and ever-changing behaviors, strategies, attitudes and events (such as personnel and product changes) of your ideal customers.

Plus, each time you sign a new customer, or an existing customer expands its account, that customer’s exegraphic data feeds back into the model to better define what ideal means for you.

No more of the old-school, stuck-on-firmographics ICP on a PowerPoint slide that you update every few years. Equipped with a dynamic ICP, revenue teams know (essentially in real time) how their best customers behave—and what to look for in new prospects.

 

Step 3: See which accounts in your pipeline have the characteristics you care about most

Now that you know what your ideal customer really looks like, and have a living model in place that evolves over time, you’re ready to see how many of the accounts in your pipeline fit your ICP. In our experience working with some of the world’s top brands, it’s much less than you think.

When you evaluate the exegraphic markers of the accounts in your pipeline and compare them to your now-full-picture ICP, you’ll have an aha-moment. You’ll see why certain accounts got stuck in your pipeline with little to no progress. You’ll also see accounts that show more promise, that have leading characteristics of an account that will make its way to closed-won. Those are the accounts you’ll know to prioritize.

When you can see how closely accounts in your pipeline match your ICP, you’re able to take a data-driven approach to seal the deal. Accounts that are a clear match to your ICP could be routed to sales, while accounts with a lower match rate could be placed in a nurture track. The accounts that don’t have matching traits? Toss those. You don’t have time or budget to spend on them.

 

Step 4: Find new accounts that match your ICP

Now that you have fewer accounts in your pipeline, what do you do? And how do you fill it moving forward?

Volume still matters, yes. But it really needs to be more of the right stuff. More quality targets. You probably get where we’re going with this, and you’re likely saying to yourself, “Got it… but how do I find accounts that have the deep traits I care about most? If I knew how to spot them, they’d already be in my queue.”

Great point. You could try to do it manually: hire a dedicated team to determine the exegraphics behind your best customers, build a more robust ICP and evaluate the exegraphic data behind all the accounts in your pipeline. By the time they’re done running the analyses, though, the data has probably changed. Luckily, AI can tackle this workload almost immediately. It’s great for pattern matching across large data sets and language models—including all sorts of digital “breadcrumbs.”

AI can also tell you which companies match your ICP, and how closely. No more going after big, aspirational logos just to have them clog your pipeline. By using AI to find the accounts that resemble your best customers, you’ll always know which accounts to target, and when.

 

Step 5: Improving metrics through better aim

When companies improve their targeting efficiency through the use of exegraphics and aiCPs, they don’t just get better prospects in the funnel—they get improved results the entire way through it.

 

Engagement case study: Allytics

As a Central Marketing Organization (CMO) for its clients, managing everything from strategy to implementation with an eye on improving their marketing ROI, Allytics requires strong engagement on behalf of all of its customers: growing account lists, acquiring new leads, expanding pipelines for marketing and sales.

To those ends, Allytics have partnered with Rev for more than three years to support deeper lead qualification, target market expansion and nurture campaigns for their clients, with the aid of exclusively tailored Custom Lenses.

“We can come in with any angle and Rev builds a lens for us that helps our clients increase their pipeline growth by providing unique and specific targeted insights,” says Allytics President Dunya Riechelson. “This gives us clear direction and quality results.”

For Allytics, Rev’s Sales Development Platform expanded several clients’ account bases by more than 20% through lookalike targeting, providing access to a stronger pool of leads with higher levels of engagement.

VP of Marketing Services Robert Doi says: “Rev’s technology makes them a perfect partner to help our clients increase both the quality and velocity of new potential customers, closing more deals.”

And that’s not all. Allytics also saw a 50% decrease in time to find qualified leads.

 

Case study: Splunk

When Splunk acquired another company in the DevOps space, it set out to run a demand gen campaign to prospect for it. Splunk had developed an extensive ABM list and inherited a seed list of the acquisition’s best customers, but still struggled to gain traction and add quality prospects. 

Rev created an aiCP for Splunk, prioritized the list and ran a content syndication campaign.

Not only did the campaign result in sourcing the quality prospects Splunk desired, but it also revealed that the companies showing intent previously were not actually best-fit prospects. They were draining revenue resources with a lesser likelihood of actually closing.

Splunk’s new aiCP enabled them to prioritize the account list and focus marketing efforts. According to Joe Paone, Sr. Director of Worldwide Commercial Marketing, more than 15% of the pipeline can now be attributed to the aiCP, with increased pipeline revenue of more than $500 million.

 Did we mention they saw these results in less than 3 weeks?

 

Final thoughts: Keep on evaluating your pipeline

Once you achieve a stronger sense of your own ideal customers on an exegraphic basis, you can make a pretty immediate and drastic evaluation of your existing pipeline.

If you align with the averages, your revenue team isn’t even touching about 2/3 of the prospects in the pipeline. Imagine assessing the entire pipeline for the best-fit prospects—the ones most likely to close, and to become great customers—and being able to pluck those targets out of the crowd.

You can. And you can evaluate how you’re filling the pipeline based on what percentage of the prospects there match the characteristics that matter most to you. These are the metrics that can change the game for revenue leaders: early indicators of your revenue teams’ operational efficiency and ultimate success.

Doing so not once, but continuously, calibrates your teams’ efficiency and your pipeline’s quality. As Allytics’ Richelson says: “Quality is a focus from end-to-end through every touch point in the engagement. And, because the AI gets smarter over time, we can optimize as we go.”

As you need to pivot in an ever-changing market, exegraphics and aiCPs equip you to constantly refocus your aim and maximize your efforts. After all, your objectives aren’t static. Your approach doesn’t have to be, either.

These pipeline pain points are a universal experience, but they can be addressed head on by revamping how you think about your ICP and changing the way you identify and source top prospects. Get started on improving your aim. See you how your aim stacks up against others—and what you can do to improve it.

Account based marketing examples

Account based marketing (ABM) has become one of the hottest new trends in marketing. It produces impressive results, making it a firm favorite strategy among leading companies, business startups and marketers. 

You may be wondering, beyond just being an in-vogue strategy for creating awareness and driving sales, what makes account based marketing so effective? 

At a high level, here’s the scoop: With ABM, customers are treated like individual accounts even when they’re grouped as leads within the same company or vertical. Each ABM campaign requires careful planning and an intimate understanding of what will resonate with each customer segment. It relies on tailored experiences to win a customer. While this strategic approach may require additional investment, the potential rewards outweighs the risk.

If you’re looking to get started with ABM—or need some fresh ideas for your existing program, we’ve got you. We’ve put together some of the best ABM examples that drove incredible results.

First, let’s dive into what account based marketing is.

 

What is account based marketing?

Account based marketing is a strategic approach to marketing that focuses on creating tailored campaigns for individual target accounts. It emphasizes the coordination between marketing and sales teams to reach the right prospects with personalized content.

ABM strategies are anchored on increasing engagement with key accounts to drive better results, such as higher quality engagements, more customer conversions and bigger deals. 

For example, if a company wants to target high-end accounts, it can create campaigns with special offers and incentives designed specifically for those accounts. With ABM, companies can target the right accounts and create content that resonates with those accounts’ specific needs and interests.

You can think of ABM as “one-to-one marketing,” where you tailor your messaging to each account instead of casting a wide net.

 

What are the benefits of account based marketing?

We’ve lightly touched on the benefits of ABM already, so let’s go deeper. They include the following.

 

#1. Targeted approach

Account based marketing allows you to direct your efforts (and resources) more precisely. By having an accurate view and intimate understanding of the customers you’re trying to reach, you can create content and campaigns tailored specifically to them. 

 

#2. Increased ROI

ABM strategies increase ROI because you’re focusing on accounts with the most potential. The tailored campaigns you build for your target accounts optimizes your spend, helping you avoid spending time and money on broad campaigns on a wide array of potential accounts that may or may not be receptive to the message.

In 2021, a global survey of B2B companies revealed that most had seen moderate success from their account based marketing (ABM) strategies. More than 1 in 5 even reported strong returns. Though nearly 30% saw little to no ROI, the vast majority were still moving forward with the strategy and working toward finding the right approach.

#3. Improved customer relationship

ABM allows you and your company to create a deeper connection with prospective and existing customers. As they begin to feel more valued and appreciated, their loyalty and engagement increases.

 

#4. Better insight

Through ABM, you can also come to better understand your customers’ needs and wants. As you dive into segmenting your targets, you’ll begin to develop more accurate customer profiles that can guide you in building meaningful campaigns that speaks to the challenges and opportunities they have. 

 

#5. Increased reach

Account based marketing gives you the opportunity to reach more customers. Now, I kow that sounds counterintuitive because we just said that ABM helps you target a specific set of accounts. But here’s the truth behind it all. By understanding the needs and wants of your target audience, you can create campaigns that more people will see. You’ll no longer be throwing spaghetti at a wall.

 

#6. Manageable costs

ABM also allows you to be very precise about how you allocate your budget. You’ll know if anything you spend is moving the needle at the account level and you’ll know where to invest more.

 

Examples of great ABM campaigns

The moment you’ve been waiting for: examples of strong ABM campaigns. Here are a few ABM campaigns to inspire your next one.

GumGum personalized storytelling

GumGum, an AI contextual intelligence company, leverages ABM for its “personalized storytelling ” approach. Specifically, they used this approach to close a big deal with T-Mobile.

GumGum was able to gain insight into the preferences of its target client through research. They discovered that T-Mobile’s CEO was a huge Batman fan and used this information to their advantage.

Knowing this, they printed out personalized comic books called “T-man and Gums,” featuring the CEO as the main character. It generated a lot of buzz and excitement among T-Mobile’s agencies, which helped GumGum secure the deal.

As a result of using an ABM strategy, they witnessed great success in their campaign and gained traction among their target accounts. Their sales pipeline rose by more than 10x. 

 

LiveRamp’s hyper-targeted approach

LiveRamp, a data onboarding company, also experienced success with its ABM strategy. 

They made a 33% conversion rate in 4 weeks after creating a comprehensive list of their 15 highest-value clients and targeting them with multi-channel campaigns. The list included the clients’ names, contact information and preferences. Their campaigns included emails, snail mail, webinars, and personalized content tailored to these accounts’ specific needs and wants.

Then, they tracked the responses for each channel and analyzed which was the most effective. While the campaigns were targeted, they also included a “bait” element that encouraged their clients to engage with them in the future. It showed that LiveRamp was actively interested in feedback and understanding the needs of its customers.

The main takeaway from LiveRamp’s ABM strategy was identifying the most valuable accounts and assuring them of a personalized experience tailored to their needs. It helped them increase conversions and create long-term, lasting relationships with clients. 

 

Salsify’s multi-channel account based marketing

Salsify is a product experience platform provider that helps companies to create and manage digital content for their products. To increase the visibility of their products to their target accounts, Salsify implemented an account based marketing strategy. 

They planned a roadshow in New York with large companies such as Johnson & Johnson and Google to speak on their behalf. At the same time, they took to social media to find and connect with their targets. 

In addition, Salsify followed up with targeted ads and emails to close dozens of accounts in 2 hours, exceeding their target conversion by 22%. With the help of their marketing and sales departments, the multi-channel account based marketing strategy created a massive success for Salsify. 

The strategy increased brand awareness and made it easier to launch their product into the market. It also created a more personal experience for their clients, allowing them to tailor their message to their accounts’ individual needs and wants. 

The success of Salsify’s ABM strategy demonstrated the power of multi-channel account based marketing. It showed that companies could exceed their conversion expectations by taking a more personal approach to their campaigns. 

 

DocuSign’s segmented approach

DocuSign is a digital transaction management platform that provides businesses with an easier way to manage their contracts and documents online. Along with the challenge of having to target six different industries, they needed to find a way to connect with their customers effectively. 

With the challenges in mind, DocuSign decided to create a segmented approach on its website. By asking users simple questions about their industry, they could determine which content was most relevant for each individual. 

This allowed them to direct marketing efforts with industry-specific campaigns, such as webinars and whitepapers. It also helped them better understand their customers’ needs, making it easier to create more customized content that resonated with their audiences. 

The result of this approach was a 22% boost in their sales pipeline, proving that segmentation can be a powerful tool in ABM. They also increased their engagement rate by over 59% as users felt more connected with the company. Also, they boosted the number of views on their page to more than 30%

By segmenting their approach, DocuSign was able to drive more traffic, increase click-through rates and boost conversation percentage from high-value accounts.

 

The bottom line

ABM can fuel tremendous growth results. To see that lift, you have to make sure you’re targeting the right accounts from the beginning. The superficial markers you may have once relied on—things like industry, company size, geography—are not enough.

You need to target accounts based on deeper signals, exegraphics. Exegraphics data tell you how companies operate, so you can not only target the accounts that have the characteristics you care about, but so you can also create campaigns that align with their core needs.

Curious to learn how to bring exegraphics into your ABM strategy? Contact us and we’ll show you the exegraphics behind your best customers—and even show you the accounts you’re missing from your ABM list.

So you think you’ve exhausted your market?

With the economy lagging and experts forecasting possible recessions, forward-thinking companies are looking to stimulate new revenue in new markets. In a vacuum, not a bad strategy. But many companies doing so are leaving money on the table in their current markets.

If you think you’ve exhausted your market… you’re probably wrong.

In fact, a recent Gartner report recommends that tech CEOs renew their sales and marketing efforts in two areas:

  • Existing markets (where their products are proven)
  • Existing customer base (as a chance for expansion with new buying efforts)

The report does not mince words: “Tech CEOs must avoid the temptation to go after new markets and verticals (especially when there is not a clear, well-researched and validated opportunity for growth) if doing so puts success in existing markets at risk.”

Venturing too heavily into new markets is a lot like abandoning your fortress in battle: when companies lose focus on their core market, their competitors swoop in. As a result, companies forfeit the Fortress of Market Share, including both new accounts and expansion opportunities with existing ones.

This is of course not to warn ambitious orgs away from exploring new markets altogether. There are strategic reasons to leave the fortress. Yet breaking into new markets and booking revenue requires time—a resource that many companies don’t have enough of. 

Fully evaluating your current market for growth opportunities (especially when the economy is suppressed) is a worthy—and worthwhile—endeavor. Then, when looking at new markets at the right time, employing a smart, surgical strategy will maximize the return on your efforts.

 

Re-evaluate your market stronghold

Many times, companies that believe they’ve exhausted their market have actually exhausted their ICP. 

Too often, a traditional ICP fits in four or five bullets on a PowerPoint slide. These are usually firmographic indicators of a prospect’s industry, size, location or revenue—and are often ineffective ways of describing your actual best targets. Also too often, organizations allow their ICP to remain static for years on end, failing to reflect changes both internally and in the market.

Rev has developed AI-driven ICPs using exegraphic data to build better customer profiles that understand how companies behave and change. But even with more traditional ICPs, re-evaluating who you are selling to (and who you’ve already sold to) will help you understand who your actual ideal customers are—rather than what a PowerPoint says they are.

The benefits of re-evaluating (and re-re-evaluating) your ICP are significant:

  • Engage your current customers. Presuming that your best customers do not change over time is a sure way to lose them to competitors offering products that better suit their needs. 
  • Grab the attention of new prospects. By understanding what makes your best customers tick, you can refine your messaging to speak to the needs and pain points of act-alike companies.
  • Maximize your pipeline. You can compare accounts in your pipeline to your active ICP to determine which matches to emphasize. 
  • Maximize your resources. Ditto for the companies you have not yet made first contact with—understanding which target accounts are most likely to bite increases the power of your revenue teams.

 

Dig in deeper with existing accounts 

If you find through evaluating your ICP that you already have deep market penetration, it still does not mean you’ve exhausted your market. It may well mean you need to optimize your approach to account expansion. 

Companies with deep penetration and a product-led growth motion often struggle to know which accounts to target next, and why. After all, in tough economic times, upselling is not always a strategic move. Identifying which accounts will be most receptive to expansion is critical to maximizing revenue teams’ resources. 

Exegraphic data can surface those signals. Exegraphics identify the trends for the accounts that have already expanded, increasing confidence in your prioritization of the target account list for potential upsells.

The right data can also evaluate potential expansion for each one of your company’s products and services. Getting granular about not only who is ripe for expansion, but who is ripe for expansion in which direction, keeps your aim centered and results in more successful targeting. 

Depending on the size of your customer base, it might also be important to segment existing accounts into 1:1, 1:few or 1:many engagement plans, according to their exegraphic matches. This segmentation enables account managers to spend the most time with customers that are high-fit for expansion opportunities. 

No matter the scale and complexity of your offerings, the actionable insights provided by exegraphic data will help you identify which current accounts are ripe for upsells and expansion—further improving your reach into your current market, without the opportunity and financial cost of breaking into a new one.

 

Be savvy about leaving the fortress for new markets

Now, you may find—immediately, or in the future—that your company really has exhausted its current market. Or, perhaps entering new markets is integral to your larger GTM strategy.

In either case, tapping into new market segments opens up a world of potential new customers. It’s an aggressive strategy in times when many customers are tightening their belts—and also looking for effective solutions.

The strategy is risky, too. What if you invest marketing resources in a market segment for 12 months only to fall flat?

Fortunately, you can minimize the risk with a data-driven approach. You are starting new, but you don’t have to start cold. 

 

Trust your real ICP

In-depth ICPs, such as Rev’s aiCPs, will identify act-alike organizations, even if they look nothing alike (and they often don’t between markets). This enables you to get much clearer about targeting accounts in the new market: odds are, your best customers in the old market will mirror your most likely best customers in the new one.

Finding companies in a new segment that have the same “fit” and “ready” characteristics as your best customers minimizes risk and maximizes the potential for gains. Companies in very different market segments might have very similar internal operations that make them a great candidate for your product or service. 

You want to aim your outbound teams at these prospects to maximize leads they can convert into sales. Exegraphics and aiCPs equip your outbound teams to go after the best-fit targets, reducing the time spent on fruitless cold outreach.

 

Deploy a SWAT team

In fact, you can make this approach even more surgical to reduce risk and increase effectiveness. Before fully divesting from your company’s core focus—or before fully committing to a new market—test it with a SWAT team.

Think back to the fortress: you are unlikely to leave it in force while dispersing your forces in all directions. You’re much more likely to leave the fortress for a specific target, with a strategic approach. And why empty the fortress at all if you can send out the equivalent of a few hardy scouts to test the terrain?

Key word here is test. We recommend resisting the urge to over-rotate (and over-invest); instead, we advocate for this SWAT-team approach in a new market: lightly staffed with strong expertise, able to pivot and adapt on the fly. Think something like one business development rep, two AEs and light marketing support.

After all, if you’re using the power of exegraphics and aiCPs, you already have rigor in your process: you know you’re sending reps after prospects most likely to bite. Developing a few good pieces of early messaging and simple collateral can test the market.

Then see what happens. Do you get engagement? Are the reps able to close deals? If not, what needs to happen differently? 

This approach accelerates the information-gathering period and helps you assess, quickly and definitively, whether a new market segment is actually viable. This approach manages to get you answers in 3-6 months, not the more typical 12-18 months (plus exponential expenses) needed to determine market fit.

 

Final thoughts

The Gartner report referenced above could hardly sound more dire about new market expansion. It reads: “Tech CEOs face losing market share to competitors from neglecting existing customers and the expansion opportunities within them.”

The inverse is simple: Don’t neglect them. 

But what that looks like in practice is much more than the absence of neglect—it’s the presence of active re-evaluation of the current market, especially existing accounts, to develop a living, breathing, evolving ICP. 

It’s the development of exegraphic data to optimize account expansion. 

And, when new market penetration happens, it means doing so surgically and scientifically—with precision, experimentation and speed.

Take a step in the right direction, and let us build your aiCP for free. We’ll show you the exegraphics behind your best customers—and show you how to identify the accounts ready for expansion.

MQL vs. SQL: What’s the real difference?

Marketing and sales teams use a lot of acronyms, and we throw them around like everyone knows what they mean. Most people in the field quickly catch on and come to understand the words associated with the acronym, but often only at a superficial level. That’s exactly the case with MQL and SQL.

We know that MQL stands for marketing qualified lead, and SQL stands for sales qualified lead. But what do those terms actually mean? How are they different? How are they related?

This blog post breaks it down for you.

 

What is a marketing qualified lead?

A marketing qualified lead (MQL) is an individual that the marketing team has identified as a good fit for your product or service. The person has shown signs of interest (or need) in what you have to offer. These signs often include activities like downloading content from your website, signing up for a webinar, clicking an email link or filling out a contact form.

 

What is a sales qualified lead?

A sales qualified lead (SQL) is an individual that the sales team has identified as ready to move forward in the sales process. This means that the lead has expressed interest in purchasing your product or service and is ready to take action. 

Some SQLs were once MQLs. Others began as SQLs from the get-go. That’s because what makes an SQL an SQL is the sales-vetting process. You see, your sales team could get an MQL and qualify them as being ready to take the next step in the purchasing process and that’s how they’d become an SQL. Sales can also prospect and determine that the individual they spoke to is ready—bypassing marketing altogether and jumping straight into conversations with sales. 

How does a sales team know if a prospect or MQL is ready to move forward in the sales process? Often, the prospect or lead may request more information, ask for a quote, and respond to follow-up emails or calls from the sales team. 

While an SQL shows more potential to become a customer than an early-stage MQL, they still need to be nurtured until they are ready to purchase. 

 

MQL vs. SQL

MQLs and SQLs are both leads. But, as you can see, they’re not the same. To get really clear on what we touched on already, here’s what you need to know: 

  • The primary difference between an MQL and SQL is the intent to purchase
  • MQLs are often characterized by their interest in your product or service
  • SQLs have expressed interest in buying

But that’s not all. There are some other differences, and they include:

 

1. Behavior

MQLs have interacted with a company’s marketing efforts (such as viewing website content, engaging on social media and downloading content). SQLs are leads who have expressed an intent to buy by responding to a sales pitch or taking other action.

 

2. Timing 

Generally speaking, most MQLs take longer to become customers compared to SQLs. MQLs must go through marketing’s nurture process, while SQLs are ready to engage with your sales team. 

 

3. Conversion rate

MQLs typically have a lower conversion rate than SQLs, as they are still in the process of being nurtured and educated on the product or service. SQLs already know what they want and are more likely to convert into customers. 

 

4. Demographics

MQLs may or may not have demographics—things like age, gender, location and job title—associated with them. You don’t need to have all the details to have an MQL. You just need enough. SQLs, on the other hand, always do. Your sales team likely gathered the missing data while talking to the lead.

 

5. Lead score

Lead scoring is a process used by marketing and sales teams to rank leads in order of their potential value. This process is done by assigning a numerical score to each lead based on their behavior and interactions with a company’s marketing and sales efforts. 

MQLs typically have lower lead scores than SQLs. This is because MQLs are still in the early, nurturing stages of moving from “fit” to “ready” while MQLs are ready to make the move from “ready” to “tell me where to sign.”

 

6. Lead nurturing strategies

MQLs must be nurtured through the funnel with content tailored to their needs. This includes personalized emails, webinars, blogs or demo videos.

SQLs need to be nurtured, with content focused on closing the deal. This could include follow-up emails, special offers or discounts, product demos, and case studies, to name a few.

 

7. Request for contact

Studies show that SQLs are 2.5x more likely to request contact than MQLs. SQLs have already expressed an interest in the product or service and are ready to purchase. MQLs, on the other hand, are still in the process of being educated about the product or service. 

SQLs who request to be contacted are usually further down the funnel and more likely to become customers—faster.

 

What comes first: MQL or SQL

The MQL stage is the first step in the sales and marketing funnel. It typically involves getting potential buyers interested in what your product or service can do for them. MQLs are usually scored based on their engagement level, which helps determine if and when they move forward down the funnel. 

The SQL stage is the end of the funnel, where buyers decide whether to purchase your product or service. Here, buyers are looking into things such as 

  • Sales: The discounts and offers available
  • Pricing: What works best for their budget 
  • Financing: How they can best finance the purchase and whether they need to take advantage of payment plans or other options
  • Technology: Whether the product offers the best technology for their needs 

MQLs usually start at the awareness stage, but only sometimes. They often end up as an SQL in the conversion stage of the marketing funnel. Successful MQL-to-SQL conversions improve the overall efficiency of your marketing campaigns and increase the chances of making a sale.

For a  successful MQL to SQL conversion, sales and marketing teams need to be aligned  and understand what’s happening throughout the entire funnel. Here are a few things you can do to optimize for MQL-SQL conversion.

 

1.   Have a lead scoring system in place to properly assess MQLs

Lead scoring involves using MQL scoring parameters—such as website visits, form submissions and others—to determine the likelihood of an MQL converting into an SQL

For example, if an MQL has visited your website 10 times and opened your emails five times, they would receive more points than someone who has only been to your website twice and opened your emails once. 

This process helps ensure MQLs are being evaluated accurately and that the most promising MQLs move forward in the funnel. 

 

2. Share MQL data with the sales team

Once MQLs have been scored, it’s important to share this data with your sales team so they can focus their efforts on MQLs that have a higher chance of closing. By sharing MQL data, the sales team can more easily assess MQLs and determine which MQLs are most likely to become SQLs. 

 

3. Establish MQL-SQL goals

It’s also vital to establish MQL-SQL goals so you can track progress and measure success. Setting MQL-SQL goals sets up parameters around what you should be tracking and allows you to better understand how MQLs are converting and what areas to improve. It’s all about optimizing for the highest possible conversion rate.

Your goals should include the following:

  • Conversion rate: How many MQLs convert to SQLs
  • Conversion time: How quickly MQLs are converting 
  • Lead yield rate: How many MQLs are being generated
  • Engagement rate: How engaged MQLs are with your product or service (this is determined by calculating the weighted engagement score)

 

4. Maintain MQLs

Maintaining MQLs is also important to ensure MQL-SQL conversions. Maintaining MQLs involves staying in contact with them, providing them with content and resources, and responding to any questions or concerns they may have. 

This also helps build relationships and trust, which can ultimately lead to MQL-SQL conversion. 

It’s important to note that MQLs should not be pressured to purchase. This is because MQLs are still learning about your product or service and need time to decide. So, this process could take weeks or even months. 

Following these steps will put you on the right track for growing your MQL-SQL conversion rate, but it won’t guarantee that all will convert. Knowing this up front is important because it removes the friction that too often lives between the sales and marketing team—when sales blames marketing for sending poor leads and marketing blames sales for not correctly approaching the lead. In reality, some leads may not convert because of factors outside of your control: the lead is shifting strategies, had their budget reduced, etc.

To facilitate all of it—high conversion and deep learning, it’s important that sales and marketing teams stay in regular communication. 

 

Final thoughts

Whether you’re in marketing focused on MQLs or in sales focused on SQLs, the reality is that you need to focus on accounts that show the most promise. You don’t have the time or resources to be engaging with targets that will never close. And in order to bring in the right leads, you need to look deeper than the firmographics that make up the traditional ICP.

With Rev, you’ll be tapping into the pattern-matching capabilities of AI to evaluate your best customers, discover their deep characteristics that make them your best customers and find other accounts that share those same traits. It’s that simple. And just like that, you’ll be bringing in MQLs and SQLs that have a higher propensity to engage and move through the funnel faster.

We’d love to show you how it works. Contact us and we’ll conduct a free ICP audit and give you a list of target accounts that you should go after next.

B2B revenue generation: Definition, examples and 7 strategies to increase profits

Did you know that revenue generation isn’t just the responsibility of your sales team? In fact, all departments—including marketing, customer success, revenue operations and even finance—play a role in driving the growth of your business.

So, if you want to ensure that your B2B company is profitable, it’s essential to have a strong revenue generation strategy that empowers each department to contribute to the bottom line.

But what is revenue generation exactly? And how do you improve your revenue generation process without sacrificing the customer experience? Good questions! And we’re going to answer them in this blog post as we look at:

  • The meaning of revenue generation
  • Examples of revenue generation tasks for sales, marketing, customer success, finance and revenue operations teams
  • 7 profitable strategies your business can implement to start generating more revenue

Let’s begin!

 

What is revenue generation?

Revenue generation is the process of creating and capturing sales opportunities for a company. This process can involve various activities such as identifying market segments, setting pricing strategies and converting leads to customers.

Without an efficient revenue generation process, your business may fail to attract and retain new customers. In the B2B world, this process can be even more complex, as sales cycles tend to be longer and involve multiple decision-makers.

 

Which teams are responsible for revenue generation activities? 

Revenue generation isn’t a task reserved for one specific team within a company. Instead, it’s a collaborative effort between different departments, including marketing, sales, customer success, finance and revenue operations—with each team having specific responsibilities and tasks.

 

Sales

You probably already know that the sales team is responsible for generating revenue. Sales Development Reps (SDRs) do this directly through prospecting and closing deals. But they also play a crucial role in this process by:

  • Identifying and targeting the right leads based on an understanding of their pain points and how the company’s solutions can address them
  • Proactively reaching out to leads through cold calling, emailing, networking and other lead generation activities
  • Building and maintaining relationships with clients to increase the likelihood of repeat purchases
  • Conducting product demos with potential customers
  • Tracking and analyzing sales performance data to improve processes and strategies continually

 

Marketing

Your marketing team’s role in revenue generation is just as crucial as the sales team’s. They generate demand for your product or service, increase the flow of high-quality leads and create brand awareness. Ultimately, your marketing team aims to guide potential customers through the initial stages of your sales funnel and convert them into qualified leads by:

  • Creating content such as blog posts, whitepapers, case studies, and webinars to attract and educate potential buyers
  • Launching marketing campaigns, often in collaboration with the sales team, to drive leads and conversions
  • Conducting market and competitor research to inform go-to-market strategies
  • Building and maintaining relationships with key industry influencers and partners to increase brand visibility and credibility
  • Tracking and analyzing lead conversion rates, website traffic and other relevant metrics 

 

Customer success

The customer experience can make or break any company’s revenue generation efforts. The customer success team takes ownership of ensuring a positive customer journey that supports and contributes to revenue growth by:

  • Providing onboarding and training to ensure customers are fully using your product
  • Building strong relationships with clients to encourage loyalty and retention
  • Collecting customer feedback and making suggestions for product improvements
  • Recommending new products or services based on customer needs and interests
  • Working with the sales team to upsell or cross-sell additional products and services

 

Finance

The finance team often isn’t thought of as directly contributing to revenue generation. But they play a crucial role in helping your company make informed decisions about pricing, product offerings and investments. For example, finance contributes to revenue growth by:

  • Analyzing and forecasting financial performance so the company can set realistic revenue goals
  • Providing insights on pricing strategies and identifying new revenue streams
  • Conducting cost analyses to maximize profitability
  • Ensuring compliance with financial regulations and minimizing financial risk
  • Using financial data to drive decision-making and optimize revenue generation efforts

 

Revenue operations

Revenue operations (RevOps) is an emerging business function becoming increasingly crucial in data-driven B2B companies. If your business has a RevOps team, you know their main priority is to identify and eliminate any roadblocks to revenue generation. To achieve that goal, the RevOps team will perform tasks like:

  • Aligning the message and strategy of all go-to-market teams to ensure consistency and optimize revenue generation
  • Implementing sales technology, such as customer relationship management (CRM) systems, to improve accuracy and efficiency in revenue forecasting
  • Going beyond traditional lead scoring methods to understand the ideal customer profile (ICP) and determine the signals that indicate a lead is ready to buy
  • Optimizing pricing and packaging for maximum revenue and profitability
  • Analyzing data and presenting insights to inform decision-making for the whole revenue generation team

 

7 strategies to improve your B2B revenue generation process

Generating sustainable revenue sounds like a no-brainer for any business. But it can often be a challenge for B2B companies that sell complex or high-value products to other businesses.

So, you may need to experiment with different strategies and tactics to find what works best. Here are 7 revenue generation strategies that can help your business boost profitability.

 

Strategy 1: Use exegraphics to better understand your ICP

Your ideal customer profile (ICP) is a crucial component of any revenue generation process. Why? Because understanding who your ICP is helps you focus on the leads most likely to convert into customers and bring in revenue.

Unfortunately, many businesses have trouble accurately defining their ICP because they rely on superficial information like company size, annual revenue or industry. But does that type of information tell you whether a particular lead is actually a good fit for your product or if they’re ready to buy it anytime soon? Not really.

By using exegraphics—data and insights on the characteristics, behaviors and needs of your best customers—you can more accurately define and target your ICP. When studying a company’s exegraphics, you might find that your best customers tend to have a specific pain point in common when they buy from you, like a need for better data security due to new compliance regulations and a small IT department.

With that information, you can better target similar companies in your outreach efforts and tailor your messaging to address their specific pain points. The only problem is that finding this type of data can be tedious and time-consuming as it’s not readily available in one centralized location.

That’s where Rev comes in. Our AI-powered Sales Development Platform can quickly analyze your current customer data and gather insights into the characteristics and behaviors that your best customers tend to display when they’re ready to buy. This data helps you better understand your ideal customer profile and identify and target similar companies for your outreach efforts.

 

Strategy 2: Invest in demand generation marketing

Demand generation (aka demand gen) involves creating content that attracts the attention of your ideal customer, builds brand awareness, and drives demand for your product or service. Despite being a long-term investment, demand gen can significantly impact revenue generation.

Not only does demand generation bring in new leads, but it also helps with lead nurturing—turning those leads into paying customers. By creating valuable content targeted towards your ideal customer, your target audience will see your brand as a thought leader in the industry and be more likely to do business with you.

Demand generation activities can include content marketing to attract and educate your target audience, using search engine optimization (SEO) to improve visibility on search engines and running targeted advertising campaigns. Learn more by reading our demand generation marketing guide.

 

Strategy 3: Leverage the power of social proof

In his book Influence, Robert Cialdini discusses the power of social proof—the idea that people will mimic the actions of others to fit in or feel safe. In the B2B world, this translates to potential customers being more likely to buy from a company that has proven success in the form of customer reviews and case studies.

Think about it. As a potential customer, you are more likely to trust and believe in the capabilities of a company that has glowing reviews from other companies like yours or has a case study outlining how they successfully solved a problem for a past customer.

So, how can you leverage this to improve your B2B revenue generation strategy? First, ensure that you have a system for collecting and showcasing customer reviews, whether on your website or through third-party review sites.

You can also work with your customer success team to gather and publish case studies highlighting the successes of your past clients. These types of social proof can go a long way in building trust and credibility with potential customers, ultimately leading to more sales and revenue generation.

 

Strategy 4: Empower your customer success team to generate revenue

While the customer success team’s primary focus may be on retention and advocacy, they also can have a significant impact on revenue. But if you want to maximize their potential for revenue generation, it’s essential to provide them with the necessary data and resources.

Access to customer data such as account health, churn likelihood and renewal dates can help the customer success team prioritize accounts and proactively address potential risks. And by equipping them with that information, your customer success team will better understand how to upsell and cross-sell to current customers.

You can also encourage direct collaboration between customer success and sales. In a recent interview, the Chief Customer Officer of AppsFlyer shared just how much of an impact the customer success team can have on revenue generation.

By empowering their customer success managers to identify customer support qualified leads to pass to their sales team, AppsFlyer was able to generate over 300 million dollars in revenue from their existing customers in less than four years!

 

Strategy 5: Master psychological pricing strategies

When was the last time you noticed a price ending in “9” or “99”? Chances are, it was recently. Why? Because this tactic, known as charm pricing, is one of the most commonly used psychological pricing strategies.

Psychological pricing refers to any pricing strategy that uses psychological tricks or techniques to influence customer behavior and drive sales. Along with charm pricing, other examples of psychological pricing strategies include:

  • Prestige pricing: Setting a high price to convey luxury or exclusivity
  • Comparative pricing: Comparing your lower-priced products to higher-priced products
  • Bundle pricing: Offering a discounted price for purchasing multiple products at once

While these pricing tactics may seem subtle, they can actually be effective in driving sales and revenue growth. However, it’s important to use them ethically and make sure they align with your company’s values.

 

Strategy 6: Create the environment of a high-performing SDR team

Whether it’s funding a training program or providing the latest sales technology, investing in your SDR team can help better equip them to close more deals from high-fit accounts. It’s also important to continuously gather feedback from them to improve and fine-tune your messaging, value propositions and lead scoring criteria.

Another way to support your SDR team is by creating a warm lead handoff process between marketing and sales. This process ensures that the leads passed over to your SDRs have already shown interest in your product or solution or are showing signs of being fit and ready to engage.

It’s also crucial to audit your sales pipeline regularly to ensure that your SDRs spend their time on the right deals and target the best-fit accounts rather than wasting time on low-fit leads. For more tips like these, check out our post on 12 steps to build a high-performing SDR team.

 

Strategy 7: Prioritize sales and marketing alignment

It’s unfortunately common for sales and marketing teams to operate in silos, with little communication or collaboration between the two. As a result, quality leads fall through the cracks, marketing feels their efforts aren’t translating into sales, sales feels like they are constantly starting from scratch with few qualified leads and revenue growth suffers.

Sound familiar? If so, it’s time to get these teams on the same page. Because when sales and marketing teams align their efforts, they can create a streamlined approach to generate leads, nurture them through the sales funnel and close more deals

But how do you go about coordinating your sales and marketing teams? It begins with breaking down silos and fostering open communication and collaboration. You can achieve this through regular meetings, joint goal setting, creating shared metrics to track progress, and using the same tools and systems to track leads and sales data.

Sales and marketing alignment is also one of the core goals of a revenue operations team. So, a transition to RevOps at your organization (if you haven’t already) can also play a crucial role in hitting revenue targets by bringing together all the revenue generating teams and aligning their efforts.

 

Final thoughts

Driving consistent revenue growth can be a challenge for B2B companies. But by understanding each team’s role in the revenue generation process and aligning their efforts, you can ensure everyone knows how to contribute to achieving revenue targets.

It also helps to empower your teams with the tools and technology to make revenue generation activities more effective and efficient. For example, Rev’s Sales Development Platform helps you better understand your ICP and the signals that indicate when they’re ready to buy. This information lets you identify and target high-value leads and close deals faster.

Want to see how Rev can improve your revenue generation plan? Contact us and request your free ICP audit

 

What chatbots teach revenue teams about using AI

AI has reached a tipping point in accessibility and proficiency, and Sales and Marketing teams are suddenly engaging with AI in new ways—many for the first time.

They’re using ChatGPT, for instance, to write their B2B prospecting emails, personalization and all. It takes a human five minutes or thirty or an hour to do some prospect research on LinkedIn before they can even get started. AI? It can do it all almost instantaneously. Or can it?

Not all AI tools are created equal. They’re not all trained to do the same thing. A chatbot like ChatGPT might write a heck of an email, but the accuracy of that email, especially when it comes to personalization, may not be as dialed in. As fascinating (and remarkable) as ChatGPT is, it also can’t build you an accurate target account list.

There are, however, AI tools that Sales, Marketing and RevOps teams can (and should) use to run faster and generate quality revenue. The key is to make certain you’re using the right tools to produce accurate and powerful results.

With the lessons learned from AI chatbots like ChatGPT and Google Bard, here is our Rev primer for revenue teams that require up-to-date and spot-on results from the leading edge of AI.

 

AI sources what is available—and it needs quality data

AI can improve lead generation efficiency and speed. So revenue teams absolutely can implement it—just not indiscriminately.

Not all AI is up to the task for what revenue teams need. It can get the details wrong. It did so, infamously and publicly, when Google Bard provided incorrect information about the James Webb Space Telescope.

It’s true that generative AI’s ability to create smooth, coherent, plausible text is impressive. Afterall, that’s what it was trained to do: generate realistic-sounding answers, not necessarily accurate ones. The details can be off. In Sales and Marketing, those details matter.

 

Teaching a robot to love

Here’s an illustrative thought experiment: Pretend that (like a shocking amount of people) you tasked an AI chatbot with writing a love poem for your partner. Could you pass it off as your own?

If you and your partner just met, maybe you could. But if you know each other well, you can’t get away with cold-calling AI to write a love poem. Straight-up, it won’t sound like you.

But it might, if you adjust the parameters: Give the AI chatbot all the love poems you’ve written over the years, then ask it to write a poem in that style. You just might pull it off, because the AI has greater access to relevant data.

 

Data quantity matters too

This is part of why Google Bard dropped the ball on the James Webb Space Telescope data: it’s a very recent news phenomenon, so there simply isn’t much information for the AI chatbot to source its knowledge from. It wrote an answer without sufficient context. If the question had been about the Hubble, Bard’s odds of nailing the answer would have improved dramatically. But, again, its model is designed to pick the most likely words and phrases, not what’s true.

To move the needle on your GTM functions, your AI-driven systems need to be used for what they were trained to do and have access to enough data. Otherwise they will point you in the wrong direction, or just come off sounding… well, off

 

Revenue teams require up-to-date data

More data doesn’t just give your AI a better knowledge base to draw from; it improves the AI’s performance—more so than more processing elements. It’s a lot like how a bigger brain doesn’t make a person smarter so much as more experience does.

 

Historical bias causes revenue issues

Yet AI runs into the historical bias problem referenced above with the telescopes: history often overwhelms recent info in AI processing. This is a problem for revenue teams that rely on immediate, relevant data to make decisions both accurately and fast. The lack of data created about today or yesterday can’t stop you from taking action now.

That’s one thing that limits generative AI models like ChatGPT. Put to work for a Sales team, it would miss some timely events and milestones about your target accounts to draft accurate email copy. And if you asked ChatGPT to build you a target account list? Well, it might do a reasonable job of finding a few good targets given enough context about what you’re selling. But generating an accurate list of hundreds or thousands of companies is a fundamentally different task—and absolutely requires specific, up-to-date information. Data that’s even a few months behinds will leave you in the middle of another James Webb Space Telescope situation.

 

LLMs improve accuracy

So, if you’re looking to AI to build your target account list you need to look beyond the hype of generative AI and start looking at AI that’s using large language models (LLM) in ways that leverage up-to-date information that’s most relevant to B2B targeting. That’s how you’ll get outputs that have a high level of accuracy in the details.

LLMs are the deep-learning algorithms that identify relevant data and synthesize it into useful form. Despite the name, they’re not just used for language processing applications like chatbots—they’re used in many other cases, like building aiCPs, or AI-driven customer profiles, that help revenue teams identify the exegraphics behind their best customers and find other accounts that share those traits and fit their ideal customer profile.

Short version? AI that uses an LLM can make sense of data scraped from the web, including up-to-date information about what’s happening with millions of companies, then analyze it to understand how those companies are executing their mission. It can compare this to how your current best customers are running their business, in order to provide real-time insights into the accounts that you should be targeting. 

 

It’s a sorting problem for revenue teams

The headline-grabbing generative AI used by chatbots relies on, essentially, solving search problems. They are a natural extension of what Google does today, where you ask a question and expect even just one good result.

In B2B, targeting is a different search problem: you want AI not to find you just one result, but to find all the results and then stack rank them in terms of how good a fit they are for what you’re trying to sell. Oh, without missing any, and without diluting the results with poor-quality targets.

In short, revenue teams require AI capable of solving sorting problems in addition to search problems.

To solve those problems accurately requires the right data, normalized in a way that an automated process can digest it. And it has to be up to date. These are significant challenges for LLMs. And LLMs are neither cheap nor easy to create; a company is not going to rebuild LLMs every day to account for new data.

This is why not all AI is created equal, and revenue teams in particular have to be selective in what will create not only fast content, but the right content. The best-fitting AI tools can identify the right information and assess relevant context around the organizations you should be selling to.

 

Final thoughts: Presentation matters

Let’s face it: the accuracy of AI chatbots is kind of a novelty. It’s fun to see what responses we get, but we’re all too used to finding the right answers on Google to be wowed by, essentially, an impressive search function.

We’re much more moved by the ability of AI to respond like a human in real time—faster than any person could—and sometimes even better. The ability to synthesize information, to comb those billions of data sources and come up with answers that come across more eloquently than any of us ever sounded in a job interview (or a prospecting email), is why revenue teams are so intrigued by technology like ChatGPT.

Presentation matters. No one would let AI write prospecting emails if it talked like a robot. But in the end, substance matters more than presentation. AI saves revenue teams time and resources, no doubt. But relying on the best-fit AI, AI that produces accurate results on B2B prospects, will be the real differentiator for revenue teams in this new landscape.

Layering exegraphics and intent data to up your game (and your returns)

RevOps teams are justifiably driven to incorporate intent data in their prioritization strategies. Which makes perfect sense: In the world of demand gen and cold outreach, a prospect who has voluntarily expressed interest in a solution your company offers is way more likely to buy than someone who hasn’t. Intent data offers much better predictive capabilities than standard firmographic filters (like industry, headcount, location or revenue).

Intent data is powerful. There’s no doubt about it. However, it may not be giving you the full spread of information you need to maximize your conversions. For example, intent data can overemphasize “window shoppers,” lookie-loos who are only checking things out because they cost little to nothing.

Sure, a prospect downloaded a white paper or attended a webinar in exchange for a live email address, but those actions could be lightweight indicators of actual readiness. Typically, 66% or more of prospects on a normal, unfiltered intent list are such window shoppers—not the hot prospects you’re most likely to land a meeting with.

But when you pair intent data with exegraphics? Now, you’re unlocking the real potential of both data sets to optimize your sales pipeline.

 

How exegraphics differ from intent

Exegraphics and intent data offer essentially a macro- and a micro-view of a potential customer. Intent signals reflect individual actions that indicate some amount of willingness to engage with your company’s offerings. Exegraphics are demand signals: they reveal the inner workings of companies and how they execute their mission.

An exegraphic is essentially any characteristic you would want to know about a company—even if that information is not readily accessible. The B2C giants have been in on this concept for years with psychographics that extend well beyond demographics: the large data attractors (think Amazon or Google) can predict what you’ll want to buy, as an individual consumer, before you know it yourself. Exegraphics offer similar insights for the B2B world.

AI-driven exegraphics look at companies two ways: One is a focus on a company’s position in its industry and the value it offers to its market. The other focuses on the functions of people within the company, and how those functions are built, sized and prioritized. Rather than create static data points, exegraphics also account for trends and change over time.

Here’s one way to think of it: Intent data reflects small-sample-size data points where a prospect has engaged with your company in some lightweight way. Going after those prospects on that data point alone is like fishing based on where you see a ripple on the water. You know at least one fish is swimming there, and if it’s hungry, it might bite.

Exegraphic data, on the other hand, goes deeper than surface-level interactions to understand broader behaviors and patterns. In the fishing metaphor, you’d have a working knowledge of where schools of fish travel in the lake during different seasons and times of day. You’d know what they like to eat and when they’re most active. You’re not chasing ripples; you’re casting a lure where you know it’s most likely to land a hungry fish.

 

Combining forces to focus your sales strategy

Now you could argue that the best way to fish is both to understand the deeper behavioral patterns, and to look for the ripples that signal a live one. We agree.

Every prospect can potentially exhibit both intent signals and demand signals, as in this case: 

If you’ve already implemented an intent data provider’s system to capture the potential desires of individual prospects, great: keep using it. Alongside that, Rev can identify the exegraphics that your best customers share. We use millions of behavioral data points from thousands of companies to understand what characteristics underlie your best-fit prospects’ needs and create an aiCP (an AI-supported ideal customer profile) to build you a prospect pipeline from the companies with the top “Rev Scores.”

Layering your existing intent data atop the aiCP offers even clearer direction for your sales and marketing strategies, combining the fish’s behavior with the ripples atop the water.

This matrix describes four primary scenarios for combining exegraphics and intent data:

Next wave: High Rev Score + low intent score

These target companies demonstrate the right heavyweight behaviors to match your aiCP. They act like your current best customers on the inside, and for those reasons they are highly likely to have a need for your product or service—even if they don’t know it yet, or haven’t acted on it yet.

Your strategy: Nurture these next-wave prospects.

 These companies are ripe for a higher-volume nurture campaign. They may not be fully aware of a looming pain point, or that your company offers solutions for it. So, start creating those relationships. At the same time, you can monitor these prospects for intent signals—any way they are responding to your nurture campaign or seeking more information, which could bump them into the “hot prospects” category below.

 

Window shoppers: Low Rev Score + high intent score

We mentioned window shoppers above. These prospects are often false positives. They demonstrate interest or curiosity, but the underlying exegraphics reveal they may not be a likely best fit because they don’t share many similarities with your best or ideal customers.

Your strategy: Delegate and deprioritize.

These prospects’ high-intent scores come at a low cost to them (often nothing more than offering an email address). The good thing is, interacting with them can remain a low-cost proposition for you, too. Don’t ignore them, but don’t expend time and resources on them, either. You can route them to automated marketing campaigns until they demonstrate a more serious interest.

 

Non-prospects: Low Rev Score + low intent score

Odds are, your product isn’t useful to everyone out there. These companies have not shown significant interest in your product, and their exegraphics don’t demonstrate much likelihood that they ever will.

Your strategy: Simply ignore them.

Sometimes, you might want to think non-prospects are an untapped market. Most often, they’re not worth your time. The ROI on marketing to these companies would be minuscule, and odds are they’d be unsatisfied customers anyway. Unless these companies start to demonstrate some interest or radically evolve closer to your ideal customer, just don’t even bother.

 

Hot prospects: High Rev Score + high intent score

These are the golden-ticket prospects. The holy grails. The unicorns. Not only do they look and act like your ideal customers, but they’re also demonstrating a readiness to engage and buy. Do we really need to explain why you should call these companies right now?

Your strategy: Go for it! Route them to your sales team for immediate action.

 

Final thought: Exegraphics and intent data are more powerful together

Of course we believe that exegraphics are the most powerful tool for any RevOps leader. We know of no more comprehensive way to understand what makes your best customers tick, and to identify your true ideal customer profile.

Yet there is no denying that intent data augments the precision and strength of exegraphics. With exegraphics alone, absent intent data, your sales team knows they might have to spend time selling the idea before selling the product. But knowing which prospects function much like your existing success cases and which ones are already looking at the solutions your team offers?

Well, we can’t promise the trout will jump right in your boat. That’s no fun. But with exegraphics and intent data playing together, your sales team can focus its efforts on the greatest likelihoods of landing satisfied customers.

Ready for a free list of target accounts that have the exegraphics you care about most? Contact us.

Marketing qualified lead: What is it really?

Companies can’t survive without customers. And every customer is a “converted” lead. But, not all leads will convert. Some may not fit your ideal customer profile and others may not be ready to buy. That’s where marketing qualified leads, or MQLs, come into play. 

You might be asking, “What exactly is an MQL?” “How do you identify an MQL?” and “Why do MQLs matter?” 

This blog post covers all you need to know about MQLs—from definitions to strategies for converting leads into paying customers. You’ll also learn how MQLs compare to sales qualified leads, (SQLs) and how they work together in the sales funnel.

So, without further ado, let’s dive in.

 

What is a marketing qualified lead (MQL)?

A marketing qualified lead (MQL) is a person or organization that has expressed interest in your company’s product or services. MQLs are leads your marketing team has identified as having the potential to become customers. 

In other words, MQLs are leads that have met specific criteria that indicate that the leads are more likely to move further down the sales funnel.

These criteria can be based on a variety of factors, including

  • Website interactions: How often does the lead view your website? Are they clicking on CTAs or downloading content? 
  • Paid advertising: Are they responding to your paid ads? Are they clicking through or engaging with them? 
  • Content engagement: Are they interacting with content such as emails, blog posts or e-books?
  • Social media engagement: Are they engaging with your social media accounts? Are they sharing posts and commenting? 

Because MQLs have already taken actions that signal they are likely to become customers, they are more valuable to your business. These marketing qualified leads are likely to become sales-qualified leads (SQLs). And with that confidence, you can prioritize them over other leads—saving you time, money and resources in closing pipeline. 

 

Marketing qualified lead (MQL) vs. sales qualified lead (SQL)

Now that you know what MQLs are, let’s look at how they differ from sales qualified leads (SQLs).

As the name implies, sales qualified leads are leads that the sales team has deemed worth pursuing. These leads have shown enough interest in your product or service to make it worthwhile to engage them further in the sales process. 

The main difference between MQLs and SQLs is which team sourced them. MQLs are identified by the marketing team, and SQLs are qualified by the sales team. 

While MQLs have the potential to convert into customers, they still need to enter the sales funnel. But, this is not the case with SQLs. SQLs are already in the sales funnel and are ready for sales to engage further.

 

How a lead becomes an MQL

MQLs have specific attributes that differentiate them from other leads, and much of it can be tracked and measured. 

Some examples of MQL common behavior include:

  1. Regularly visiting your website: MQLs will consistently visit your website, view content and explore different pages.
  2. Completion of web forms: MQLs are likely to fill out web forms, to get more information or request a product demo.
  3. Interacting with online ads: This may involve clicking on ads or engaging with sponsored content. Most MQLs will have interacted with at least one of your online ads.
  4. Downloading content from your website: MQLs will likely have downloaded content from your websites, such as e-books, white papers, case studies and other valuable information.
  5. Requesting more information or demos: MQLs have taken the initiative to request more information about your product or service and may even ask for a demonstration.
  6. Signing up for emails: MQLs will have signed up for emails and newsletters to receive ongoing updates about your product or service.
  7. Engaging with social media posts: MQLs tend to engage with posts and content by liking or commenting.
  8. Subscribing to newsletters: MQLs may also have subscribed to newsletters and other email campaigns to stay up-to-date on your product or service.
  9. Attending webinars and other events: This involves MQLs taking the extra step of attending webinars and other events to get more information about your product or service.

But in order for a lead to become an MQL, they don’t need to engage in ALL of the trackable activities. In fact, that’s why it’s important for sales and marketing teams to align on lead scoring and how to weight engagements. 

Lead scoring is a process that assigns values to leads based on their interactions with your company. This helps you see which leads are more likely to convert and should be given more attention.

To score a lead, assign a point value to each interaction with your website, ads, content and other digital assets. This helps to determine the worthiness of each lead.

 

High quality vs. low quality MQL

You might be wondering why we’re calling out high vs. low quality MQLs, especially when we just said that all MQLs had to meet a specific threshold in order to become “qualified.” The truth is, lead scoring optimizes for the lowest common denominator. So yes, high and low quality leads get bucketed—equally—as MQLs.

But they’re not equal, really.

Both hit minimum criteria. High quality MQLs, however, are more likely to engage. They have a higher closing and revenue potential and are further along in the buyer’s journey. Low quality MQLs showed just enough interest, but may require a bit more nurturing and time before they’ll be ready to move to the next stage.

Lead nurturing is essential, for both high and low quality MQLs. But right out of the gate, it’s even more important to identify low-fit from high-fit leads. The faster a high-fit lead can be identified, the faster you can book revenue.

 

How sales and marketing can increase their pool of high-fit leads

All revenue teams—sales and marketing, specifically—need to have a unified strategy in place to bring in high-fit leads. The strategy needs to start at the most fundamental level: the ICP. Understanding who your ICP really is at the deepest level, the exegraphic level, will help revenue teams target and engage with accounts that have the characteristics they care about most. 

After all, when you engage with the wrong account, every step after is wasted.

Don’t be that team.

At Rev, we help revenue teams understand their ICP, and we find and prioritize other high-fit accounts that look just like them. Curious to know what your ICP really looks like so your demand gen team can run a stronger campaign and your SDRs can be more efficient in their outreach? Contact us for your free ICP audit.

B2B demand generation marketing: Nearly everything you need to know

Whether you’re working at a startup or a large enterprise, demand generation marketing is too good for business to ignore. Because imagine this…

You’ve just launched a unique, innovative SaaS platform. You have no doubt that it’s the best on the market, sure to revolutionize your industry. BUT… no one’s buying. Like, at all. Why? Few people know your platform exists. And even the people who do know can’t articulate why they would choose your platform over another.

So, despite being the best on the market, you struggle to hit your sales goals. And eventually, you begin to doubt whether you’ll actually revolutionize your industry.

Unfortunately, this scenario happens all the time to businesses with outstanding products and services. But it doesn’t have to. If you apply what you’re about to learn in this guide, you can start to harness the power of demand generation (demand gen) to increase your sales pipeline with quality leads.

Here’s a preview of what we’ll cover:

  • The difference between demand generation and lead generation
  • A 5-step demand gen strategy using AI and exegraphic data
  • How to measure the success of a demand generation campaign
  • Our recommendations for the top demand gen tools
  • Answers to frequently asked questions on demand gen for startups, enterprises and everyone in between

Feel free to skip to the section that interests you most. Or, stick with us, and we’ll teach you everything you need to know, starting with…

 

What is demand generation marketing?

Demand generation marketing is the process of creating interest in your brand and its offerings. Rather than waiting for your ideal customer to stumble upon your website, demand gen involves actively connecting with your target audience to:

  • Build brand awareness and interest in your offer
  • Attract and build long-term relationships with prospects
  • Nurture prospects towards making a purchase decision
  • Drive steady revenue for your business

If you think this sounds like lead generation, you’re not alone. But there is a difference. So, before we go further, let’s explain…

 

Demand generation vs. lead generation: What’s the difference?

Understandably, many people don’t know how to explain demand generation vs. lead generation. And that’s because both are important for a successful marketing strategy and often go hand in hand.

However, demand generation focuses on interest and desire for your product or service over the long term. In contrast, lead generation (aka lead gen) focuses more on acquiring new leads and customers.

For example, to generate demand, you might create compelling content that teaches your ideal buyer how to solve a common problem related to your offering. On the other hand, to generate leads, you might create a landing page to capture leads interested in signing up for a free trial of your service.

Ultimately, lead gen is a form of demand gen. But demand gen encompasses a broader range of marketing tactics to build brand awareness and get attention from high-quality leads—sometimes before they’re even in the market to purchase a new service or product.

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Why is demand generation important for B2B companies?

You may think, “I already have leads coming in from my marketing and sales team’s strategies. Why would I need to focus on demand gen?”

In today’s digital age, buyers are more informed and less reliant on salespeople for information. They’re also doing their own research before making a purchasing decision.

Just think about what you do whenever you need to buy new software for your job. You could only authorize purchasing new software after explaining why you’ve chosen it to your team.

So, you’ll research and read reviews before making a decision. Then, you may start seeing targeted ads and receiving content recommendations about one company. And because you’ve become familiar with this option, you’re more likely to consider it a top choice when it’s time to buy.

A demand gen campaign helps to build brand awareness to drive qualified leads to your business and build a steady pipeline of sales opportunities. And it does this without your sales team needing to push your audience with hard sales tactics, excessive discounts or endless promotions.

Instead, your ideal customer gets pulled through your demand generation funnel until they’re ready to contact your sales teams for more information or make a purchase.

 

What is a demand generation funnel?

Your demand generation funnel outlines a lead’s steps, from first becoming aware of your brand to making a purchase. It can also help you retain the customers you already have and increase their overall customer lifetime value. 

Creating this type of funnel is similar to any other marketing or sales funnel. You’d start by defining your ideal customer profile and developing buyer personas, then create messaging and content that aligns with each stage of the customer journey. 

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However, you’ll have the most success with your funnel if it’s incorporated into a strategy that begins with a rigorous update to your ideal customer profile.

 

How to develop a B2B demand generation strategy

Your marketing team is likely already doing things to drive demand for your product or service. For instance, you might drive demand with content marketing or social media campaigns.

But to truly succeed with demand generation marketing, you need a plan to ensure you’re targeting the right audience, creating personalized messaging and nurturing leads until they are sales-ready. Here’s an overview of a 5-step B2B demand generation strategy to achieve those goals.

 

Step 1: Determine clear goals and metrics of success

What exactly do you want to achieve with demand? Take some time to determine what a successful demand generation campaign would look like for you and ensure it aligns with your overall business goals.

Here are some examples of goals you may have for your demand gen campaigns:

  • Generate X number of marketing qualified leads (MQLs)
  • Increase website traffic by X% to build brand awareness
  • Decrease MQL churn rate by X%

Your goals will also inform the metrics you track to gauge success. We’ll discuss that soon. But first, your ICP needs an update. 

 

Step 2: Use exegraphic data to update your ICP

Understanding your ideal customer profile (ICP) and buyer personas is critical to creating a successful demand gen strategy. Doing so will inform your targeting and messaging, ensuring that you’re reaching the right people with the right message at the right time.

Unfortunately, many businesses use demographics and firmographics to make generic assumptions about their target audience. These two types of data give you information like geographic location, company size and industry. But they don’t provide the deeper insights that truly define your ideal customers.

That’s why we recommend studying the exegraphics of your current best customers to create a more comprehensive ICP. What are exegraphics? The behaviors, attitudes and motivations of your ideal customers that drive purchasing decisions. For example, an exegraphic of your ideal account might be:

  • Brands that are currently expanding their sales and marketing teams
  • Companies with a CEO who’s an early adopter of cloud-based software solutions
  • Businesses with high turnover in their accounting departments

Why go through all of the effort to create a more rigorous ICP? Because this is how you can better understand your customers’ pain points, buying behavior and more.

As a result, your demand generation campaigns have a higher chance of success because you’ll be able to create content that resonates with the issues your target audience is experiencing.

How do you find this information? Well, you could find it by studying things like a company’s website, job postings or messaging from PR campaigns. It might take you forever to gather sufficient information on all of your best customers, but you can do it.

Another option is Rev’s Sales Development Platform, which uses AI to gather this information quickly and create a dynamic model of your ICP that updates as the behaviors of your ideal customer change.

Learn more about:

 

Step 3: Create content for every stage of the customer journey

Content is a crucial component of demand generation, as it helps attract and educate prospects while driving them to take the desired actions. When creating demand gen content, you’ll aim to strike a balance of top-of-the-funnel (TOFU), middle-of-the-funnel (MOFU) and bottom-of-the-funnel (BOFU) content.

TOFU Content

For the awareness stage, focus on providing valuable information about your industry and solutions to common problems that potential buyers may have. For example, you might create blog posts, whitepapers, infographics and social media posts.

MOFU Content

In the consideration stage, your content should focus on showcasing your product’s or service’s benefits and features. For example, case studies, demo videos, free trials and webinars could help guide prospects to begin seeing your business as a potential solution to their problem.

BOFU Content

Finally, for the decision stage, your content should focus on building trust and showcasing the results that customers can expect when using your product or service. This type of content can include product demos, ROI calculators and free consultations.

As you develop your content, you must also consider what channels you will use to distribute it. These channels may include your website, email marketing, paid advertising, social media and events.

 

Step 4: Test, analyze and optimize

You’ll want to regularly test, analyze and optimize your demand generation strategies to ensure it’s achieving the desired results. This can include A/B testing different variations of content, analyzing the performance of each distribution channel, and making changes based on what’s working and what’s not.

 

Step 5: Measure success based on your goals

Some people think measuring the ROI of demand generation is impossible because they believe there is no direct correlation between the strategies and revenue. However, that’s not true—it just takes a bit more effort to track the right metrics and connect them to your bottom line.

Once your demand gen campaigns run for a few months, go back to the goals you set in step 1. Where are you in terms of reaching those goals? Are you seeing an increase in website traffic or leads? Are those leads converting to customers at a higher rate? If not, it’s time to re-evaluate.

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How do you measure the success of demand generation strategies?

You’ll know whether your demand gen strategies are effective by tracking the metrics related to the goals set for your demand generation campaigns. Here are the metrics we recommend you use to communicate the value of demand gen to the rest of your organization: 

  • Number of marketing-qualified leads (MQLs): These are leads that have demonstrated interest in your product or service through their actions and fit your target buyer persona
  • MQL to SQL conversion rate: This metric tracks the effectiveness of your lead nurturing efforts by showing how many MQLs turn into sales qualified leads (SQLs)
  • MQL churn rate: The percentage of MQLs lost during the sales process
  • MQL and SQL to customer conversion rate: The percentage of MQLs and SQLs that turn into paying customers
  • Customer lifetime value (CLV): The total revenue that a customer is expected to generate over their lifetime with your company
  • Cost per acquisition (CPA): The cost incurred from sales and marketing activities to acquire one paying customer
  • Content marketing performance metrics: This could include metrics such as website page views, blog post shares and email open rates that come from your demand gen content and campaigns 
  • Close rate per channel: The percentage of leads converted to customers through each demand gen marketing channel
  • Marketing cycle length: The average time it takes for a lead to go through the entire funnel and become a customer
  • Contribution to total revenue: The percentage of revenue generated from demand generation strategies

For more information on these metrics, including tips on improving them, check out our article on demand generation metrics for B2B marketing

 

Which tools should you use to maximize your demand gen campaigns?

There’s a vast array of tools available for demand generation. These tools will help you automate and optimize your marketing efforts, saving time and improving results. Some particularly helpful ones we recommend are: 

  • Rev: A Sales Development Platform that uses AI to help you identify the exegraphic characteristics of your best customers, build a living model of your ICP and provide a data-driven list of high-fit target accounts. 
  • Ahrefs: An SEO tool that helps you do things like track your website’s search traffic, find the keywords your target audience uses on search engines and learn your competitors’ backlink strategy.
  • Quora: A Q&A website where you can answer relevant questions and build brand awareness by positioning yourself as an expert in your industry.
  • Leadpages: A website and landing page builder that includes options for lead generation forms and pop-ups.
  • LinkedIn Sales Navigator: A tool for finding, connecting with and nurturing leads on LinkedIn.
  • Wishpond: A tool for creating and running social media contests, promotions and landing pages.
  • RiteKit: A tool for finding and scheduling relevant hashtags for social media posts and other tasks like creating and sharing branded graphics.
  • Outgrow: A tool for creating interactive content such as calculators, quizzes, and surveys to engage and capture leads.
  • HotJar: A tool for analyzing website user behavior and visually representing it through heatmaps, recordings and surveys.
  • Zapier: A tool for automating repetitive tasks by connecting different software and applications.
  • EverWebinar: A tool for automating live and evergreen webinars to generate demand and leads.
  • BuzzStream: A tool for managing and organizing outreach campaigns to potential leads and influencers.
  • ZoomInfo: A tool for finding and connecting with targeted accounts through advanced search filters.

For more information on these tools and why we recommend them, check out our article on the essential demand generation tools for B2B marketers.

 

Demand gen FAQ

There’s no one size fits all approach to demand generation, and it’s essential to tailor your strategy to fit the specific needs of your business. So, you may have questions we haven’t covered in this guide. However, here are answers to a few frequently asked questions that may arise as you get started:

 

How often should I run B2B demand generation campaigns?

The frequency will depend on your industry and target audience, but it’s important not to bombard your audience with too many messages. A good rule of thumb is to run campaigns consistently but not more than once a week.

 

Who is responsible for demand generation?

Ultimately, demand generation is a collaborative effort involving input and buy-in from sales, marketing, product and management. In larger organizations, a demand generation team or department may be responsible for planning and executing demand generation strategies. In startups and SMEs, the responsibility may fall on the marketing team or an individual marketer.

 

Does demand gen work for startups?

Demand gen can definitely work for startups, as it allows them to build awareness among their target audience and generate interest in their products or services.

However, startups may have to tailor their strategies and tactics compared to larger, established companies. This could include focusing on a niche audience and targeting them through personalized messaging and content. Startups may also have to be more resourceful and creative in their approach, using paid and organic tactics.

 

What makes valuable content for demand generation campaigns?

Demand generation content is valuable when it offers solutions and helpful information for potential customers rather than just promoting your products or services. Additionally, it should address your target audience’s specific pain points and needs.

 

How does thought leadership impact demand generation?

Establishing thought leadership in your industry can significantly impact demand generation. By positioning yourself as a go-to source for information and solutions in your field, your target audience will likely turn to your business when they need it. 

Thought leadership pieces can also increase brand recognition and trust, leading to more organic demand generation. Additionally, thought leadership can help establish valuable partnerships and collaborations with other industry leaders, further expanding your reach and potential customer base.

 

How is inbound marketing different from demand generation? 

Inbound marketing focuses on creating valuable content and experiences for customers to attract them to your brand. Demand generation, on the other hand, aims to actively drive demand for your products and services through targeted tactics and campaigns. 

While inbound marketing is a larger umbrella strategy, demand generation can be a tactic you use within or without an overall inbound strategy.

 

Can demand generation increase pipeline growth?

Yes, demand generation can increase pipeline growth by sending your sales team high-quality leads that show signs of being ready to convert. However, it’s essential to remember that a demand generation strategy should be supplemented with efficient lead scoring, lead nurturing and sales processes to maximize pipeline growth.

For example, Splunk increased its pipeline by 15% using Rev to develop an AI-generated ICP, identify leads in a new market segment and run an efficient content syndication campaign targeting high-fit accounts with a high propensity to engage.

 

What are some examples of businesses that demonstrate demand gen best practices?

One example of a company that excels at demand generation is HubSpot. They have a well-defined buyer persona and offer various free educational content, including online courses, webinars and ebooks, to attract their ideal buyers.

Another example is Litmus. To generate demand for their email marketing platform, Litmus has created various resources, such as ebooks and blog articles, to educate their audience on email marketing best practices.

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Final thoughts

Demand generation shouldn’t be an afterthought for any brand that wants to increase sales and attract high-quality leads. It’s one of the best ways to drive long-term growth and success as it builds a foundation for the continuous demand of your offer.

If you want to hit the ground running with demand gen, make sure you take time to understand your ideal customer profile before you launch your next campaign. Contact us, and we’ll help you create an ICP that reveals the hidden characteristics your best customers share.