The GetRev process

How GetRev's AI demand generation works

GetRev connects audience intelligence, AI-assisted campaign design, multi-channel execution, and lead delivery in a managed demand generation program. Each stage helps align your audience, message, and follow-up.

Four connected stages

A managed program from audience to handoff

The work is designed around your campaign context. Qualification criteria and the handoff approach are agreed for each campaign.

1

Select the audience

We use audience intelligence and exegraphic analysis to understand your ideal customer profile and prioritize companies with relevant operating characteristics.

Stage outputA prioritized audience and a clearer view of account fit.
2

Design the campaign

We review your content and messaging, and use AI-assisted campaign simulation to inform the approach before launch. Simulation supports planning; it is not a promise of future performance.

Stage outputA campaign plan connecting the selected audience, message, and content.
3

Execute and engage

We run the campaign across relevant channels, including email, content syndication, and display. Conversational AI engagement can help capture additional context about a buyer's interests and needs.

Stage outputAudience engagement and available campaign response signals.
4

Deliver leads for follow-up

Leads and available engagement context are delivered for your team's nurturing and follow-up. The handoff approach and qualification criteria should be agreed as part of the campaign plan.

Stage outputLeads with available context to inform the next conversation.
Illustrative example

A cloud-migration campaign

Not a customer case study

For a company offering cloud-migration services, a broad industry list may include accounts with very different technology priorities. GetRev can use operating characteristics to refine the audience, review migration-related content, design a campaign around that audience, and collect engagement context for follow-up.

From operating signals to useful context

Refine the audience around relevant technology priorities.

Review migration-related content and align the campaign message.

Reach the selected audience through relevant campaign channels.

Make available engagement context part of follow-up.

Keep learning from the market

Refine the audience using what you learn

Win/loss outcomes can help reveal whether the audience assumptions match the companies that actually buy. Review those signals alongside campaign engagement to inform future audience selection and messaging.

ResourceThe Win-Loss Signal Playbook
Read the playbook
Questions, answered

Frequently asked questions

A little more detail on the approach and what to expect.

What are exegraphics?

Exegraphics describe how a company operates. They provide context beyond industry, size, and geography to help inform audience selection.

What does campaign simulation do?

Simulation helps evaluate campaign choices before execution. It informs the plan but does not guarantee leads, conversions, or revenue.

Which channels does GetRev use?

GetRev uses email, content syndication, and display. The appropriate channel mix depends on the campaign plan and audience.

How is an AI agent different from a form?

A form captures fixed fields. A conversational AI agent can engage with a buyer about their needs and interests, providing additional context for follow-up.

How should we evaluate a campaign?

Agree on success measures before launch. Review audience fit, engagement, lead quality, sales acceptance, and downstream pipeline contribution rather than relying on lead volume alone.

Start with the campaign

Build a campaign around the right audience.

Discuss your campaign goals, audience, and content with GetRev.

Discuss your campaign

Qualification criteria and handoff are agreed as part of the campaign plan.