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For marketing leaders

Show which programs make pipeline, and do more of them

We tie your spend to the opportunities it creates, find where buyers leave before they talk to sales, and ship what works into the tools your team uses.

Book a call30 min · no prep needed

What you're after

01

A budget you can defend

Every event, webinar, ad and post tied to the pipeline it created.

02

More visitors talking to sales

Buyers who already found you, answered when they decide whether to book.

03

Marketing and sales on the same accounts

Programs aimed at the accounts reps are working, instead of a separate list.

Lead volume up, conversion down? That's a quality problem.

More leads at the top won't fix it. We define a qualified lead from your own won deals and what those buyers did before they talked to sales. Then your team qualifies, nurtures and converts against that definition.

Why more AI content hasn't meant more pipeline

The usual approach
  • AI writing tools: more drafts from a model that never read your won deals
  • Attribution left to a dashboard nobody trusts
  • Meeting factories: more volume, scored on meetings booked
How we do it
  • Start from the programs and pages that turn into opportunities
  • Your positioning and your buyers' own words behind every piece
  • Pipeline per dollar, read against a held-out split

One play we'd run for marketing

Illustrative. Companies, people and numbers are fictional. One revenue play on the pricing page of Northwind, which sells route-planning software to logistics companies.

PartWhat it looks like
Who → actionOperations leaders on the pricing page → book a demo
The momentVisit → meeting → opportunity
Reach1:many
Agents read firstSession recordings and first calls of buyers who booked and who left
The argumentPeak-season readiness, the first thing buyers who signed asked about
Your team approvesThe VP Marketing approves the argument once. Every version is checked, and failures wait for a person.
How it's readDays: demos per 1,000 pricing visits. Weeks: opportunities from those demos. Both against visitors shown the current page.

Why we count opportunities

A page that books more demos can still lose money if the extra demos are the wrong buyers. So a marketing play is decided on opportunities per 1,000 visits, against visitors shown the current page in the same weeks. Demos are the early signal.

Jobs we take on for marketing teams

Show which programs make pipelinePipeline sourced and influenced per program dollar, ready for your budget meeting.Built for clientsRun organic social from one workflowResearch, drafting and scheduling in one place. The executive approves every post.Built for clients
Move budget to what worksA channel and account mix model built from your own spend and pipeline.We’ll scope it
Answer high-intent visitors firstThe page, follow-up and ad for buyers on your pricing page.We’ll scope it
Ads aimed at the accounts SDRs workLookalike and retargeting audiences synced from your outbound list and site visitors.We’ll scope it
Get found in AI searchWhere AI answers skip you, and the pages that fix it.We’ll scope it
Built for clients we have shipped this for a clientWe’ll scope it we’ll scope it on a call

How we get you there

  1. Step 011

    Connect your data

    Pull ads, events, webinars, web, social and CRM outcomes into one place you own, so spend and pipeline sit in the same table.

  2. Step 022

    Prioritize by revenue impact

    Find the page or stage where you lose the most pipeline. Compare who booked with who left.

  3. Step 033

    Ship into the tools your team uses

    Ship the play into your site, ads and email, and rebuild it with your team until it works.

  4. Step 044

    Keep improving

    Report pipeline by program every week and read the play against the held-out split. Keep, change or retire it.

Where to start

GTM AI Bootcamp

Start with a bootcamp. Within 4 weeks one play is live on your site, built on your own data with your team and read against visitors who saw the current page. Your part is read-only access and two sessions a week. We do the building. $5,000 for the first five teams, then $10,000, credited toward Implementation if you continue.

Before you book

Will AI content hurt our brand?

Your team approves the argument, every version is checked, and failures wait for a person. Posts in an executive's voice are approved one at a time.

We already have an attribution model.

Keep it for reporting. Attribution splits credit after the fact. A held-out split tells you whether the play caused the change.

Our marketing ops team builds its own workflows.

Good, those stay theirs. We add where buyers leave and what moved. What we add for builders.

Do we need a data warehouse first?

No. Connecting your data is the first step of the bootcamp: analytics, the CRM and calls, and exports work too.

Where's your line stuck?

Bring your next budget meeting

30 minutes. We'll show you how we'd tie your programs to pipeline before it.

Book a call