Your pipeline number
is a guess.

Chalk Theory rebuilds GTM, RevOps, and performance marketing as one operating system, so the forecast you take into the board meeting actually holds up.

What’s Broken

We map positioning, RevOps, and acquisition to find the actual constraint

What Ships

The fix, built and implemented by the same team that found it. No handoff to a deck.

$8.4M
Δ Pipeline Influenced
28%
Ops Cost Reduction
42%
Faster Signal-to-Action
5.2x
LTV/CAC
Pulled from the three client engagements below. Individual results vary by starting point. Clients under NDA; every metric verified against the client’s own CRM or ad-platform reporting.

Who This Is For

Right fit

Series A–B B2B SaaS, roughly $3M–$15M ARR
Past founder-led sales, before a fully staffed RevOps/growth team
Has CRM + ad account data already, but no one trusts the numbers
Needs GTM, RevOps, or paid marketing fixed, not a logo redesign

Not a fit

Pre-seed / pre-PMF: you need a co-founder, not a consultancy
Enterprise or PE-backed with an in-house growth team already scaled
Looking for a cheap freelance ad-buyer or a one-off logo
Wants a single vendor to own every function, with no internal counterpart

We run on US/UK business hours with live overlap for every engagement. No async-only handoffs.

What We Fix

GTM Strategy

Positioning, pricing, and launch motions built from a standing start. Handed off as a playbook your team can run without us.

Positioning & PricingCategory LaunchOutbound & Paid MotionsPlaybook Handoff

Performance Marketing

Bid and budget rules tied to the same CAC number your dashboard trusts, not a media buyer's private spreadsheet.

Cohort CAC/LTV ModelingChannel Testing DisciplineServer-Side Attribution

Attribution & Reporting

Multi-touch attribution and dashboards your leadership team will actually use.

Multi-Touch AttributionOne CAC Number, Not ThreeExecutive-Ready Dashboards

Revenue Operations

Shared systems of record and handoff rules so marketing, sales, and CS all work off the same data set.

Shared Lead/Opp DefinitionsCRM Object-Model RebuildHandoff SLAs

Growth Systems

RevOps automation connecting CRM, product usage, and billing so expansion and churn signals reach the right team the same day they happen.

Lifecycle & Lead ScoringSales-Led to PLG

How We Work

We don’t pitch solutions off the shelf. We find what’s actually broken, then build the right fix for it.

01

Find

Pull the CRM export, the ad account, and the win/loss notes. Find the one number nobody trusts — and why sales and marketing don't even agree on what a qualified lead is.

02

Architect

Decide the data model, the attribution logic, and the launch sequence before any tool gets touched.

03

Build & Deploy

Ship the fix ourselves: the automation, the campaign, the positioning, the dashboard. Not a slide describing it.

What This Actually Looks Like

2024–2025
01B2B SaaS, Series A

Revenue Operations & Attribution Rebuild

Before: a pipeline number nobody trusted, tracked across three disconnected tools. After: one system of record with a 99% data match rate.

A pipeline number nobody fully trusted, fixed with one system of record. Read the full case on Work →

B2B SaaS, Series A, 60-person team, 10-week engagement, 2024. Client under NDA; metrics verified against the client's own CRM reporting.

67%

Faster Handoff

34%

SQL→Won Lift

99%

Data Match Rate

$2.1M

Δ Pipeline

StackHubSpotSalesforceSegment
02B2B SaaS, Growth Stage

Performance Marketing Infrastructure Build

Before: CAC climbing with no full-funnel view of what was working. After: one attribution layer, CAC down 43%.

Full-funnel attribution and automated bid/budget optimization across every channel. Read the full case on Work →

Growth-stage B2B SaaS, ~$8M ARR, 8-week engagement, 2024. Client under NDA; metrics verified against the client's own ad platform reporting.

43%

Lower CAC

3x

Lead Vol

2.8x

ROAS

60d

Deploy

StackGoogle AdsLinkedIn AdsSegment
03B2B SaaS, Series B

Growth Systems Automation Rollout

Before: manual CSV exports linking CRM, product, and billing by hand. After: one automation layer, signal-to-action 42% faster.

Manual CSV exports replaced with one automation layer linking CRM, product usage, and billing. Read the full case on Work →

Series B SaaS company, 130-person team, 14-week engagement, 2023–2024. Client under NDA; metrics verified against the client's own revenue reporting.

$8.4M

Δ Pipeline Influenced

28%

Ops Cost Reduction

42%

Faster Signal-to-Action

5.2x

LTV/CAC

StackSalesforceZapierAmplitude
What You Get On the Call

A 30-minute working session on your funnel, CRM, and ad account. You leave with:

  1. The one thing that’s actually broken
  2. Whether it’s a positioning, ops, or acquisition problem
  3. What we’d do in the first two weeks if you hired us

Let's start with a straight conversation

30 minutes, no deck. We'll tell you what's actually broken and whether we're the right fit to fix it.