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Demand Generation

Turn the brief into a campaign.
Keep your team on the message.

AI campaigns bring audience context, draft content and campaign work together. Your marketers shape the ideas, review the assets and guide the next step.

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See how RevTech connects customer context, agent-prepared work and human review.

In short

What is Demand Generation?

Demand Generation is RevTech’s AI campaign capability. It brings campaign briefs, target audiences, AI-drafted content and campaign activity together so marketing can prepare and review a coordinated program. Your team approves the message and uses campaign reporting to decide what to improve.

What is Demand Generation?

Demand Generation is RevTech’s AI campaign capability. It brings campaign briefs, target audiences, AI-drafted content and campaign activity together so marketing can prepare and review a coordinated program. Your team approves the message and uses campaign reporting to decide what to improve.

Start with the audience

Connect the campaign goal and brief with the people and accounts you want to reach.

Prepare campaign content

Review AI-drafted campaign assets and refine the message before use.

Follow the response

Review campaign activity and connect buyer interest to the configured lead flow.

How to use it

Start with the audience

Connect the campaign goal and brief with the people and accounts you want to reach.

Start with the audience
Prepare campaign content
Follow the response
Learn to run campaigns with drafted content
The RevTech campaigns view: every program and campaign with the leads, meetings, deals, pipeline and revenue each produced.
Every campaign in one view. Each program and its child campaigns are reported on the same terms of leads, meetings, deals, pipeline and revenue, so marketing can see which demand became business rather than which campaign was busiest. Screenshot of the RevTech application; sample data.
Campaign content drafted by RevTech: per-account landing pages, solution briefs and ad copy, each ready to review, push to HubSpot or download.
The assets tab of a campaign. RevTech drafts the collateral the campaign needs, from a landing page per target account to solution briefs and ad copy, and lists each one with the account it was written for, a link to push it into HubSpot and a download for any other system. The agent produces the first draft; a marketer decides what ships. Screenshot of the RevTech application; sample data.
In practice

From campaign intent to reviewed work.

Define the audience and goal, review the drafted content and follow campaign performance. Agents prepare the work; marketers own the creative judgment and campaign decisions.

Check the account context
Review the prepared work
Agree the next step

Questions teams ask

Practical answers for teams evaluating the Demand Generation.

Demand Generation is RevTech’s AI campaign capability. It brings campaign briefs, target audiences, AI-drafted content and campaign activity together so marketing can prepare and review a coordinated program. Your team approves the message and uses campaign reporting to decide what to improve.
Yes. Demand Generation describes the AI campaign work in RevTech: briefs, audiences, drafted content and a reviewed marketing motion.
Your marketers own the audience, message and goals. Agents help prepare the work so people can spend more time on ideas, quality and judgment.
Define the audience and goal, review the drafted content and follow campaign performance. Agents prepare the work; marketers own the creative judgment and campaign decisions.
Your team sets the business direction, access and approval expectations. People remain responsible for customer relationships, important decisions and commitments.
This capability is part of RevTech. Availability of individual actions depends on your connected data, permissions and configuration. Review pricing or talk to Sales to confirm the right scope for your team.
Demo

See how the work gets done.

Explore how agents prepare work across your revenue teams, and how people review it, guide it and decide what happens next. Fictional data. Real product.

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Keep the work connected.

Explore the next capabilities that connect to this work.