Every platform is grading its own homework.
Meta, Google, TikTok and GA4 all tell different stories. Your team spends most of its time explaining gaps instead of deciding what to do next.
Analyze Pillar · Performance Measurement for Advertisers
Your ad platforms will always disagree. We give you one version of the truth.
GA4 says one thing, Meta says another, Google Ads takes credit for everything, and finance doesn't believe any of it. We design a performance measurement spine so you can scale budgets based on numbers leadership actually trusts.
- Reconcile GA4, ad platforms, and backend into a single story.
- Define a clear, documented source of truth for revenue and CAC.
- Build reporting that answers "where do we put the next dollar?"
Built for teams spending real money across Meta, Google, LinkedIn, TikTok and beyond.
Why performance measurement feels broken
It’s not that your team is bad at ads. The measurement landscape changed under your feet.
Modeled conversions, black-box attribution, server-side tracking, AI bidding and privacy changes all collided at once. The result: more spend, more noise, less confidence. We help you unwind that.
Signal loss keeps raising your cost per result.
Privacy rules, consent, ad blockers and cookie changes quietly strip signals. Platforms optimize worse, CPAs creep up, and nobody can prove why.
Leadership doesn’t trust the marketing numbers.
Finance has one set of revenue figures, BI has another, and dashboards never quite tie. Eventually, budgets stall because nobody wants to bet on shaky data.
Attribution experiments feel like religion, not science.
You’ve tried last-click, data-driven, view-through and MMM-lite. None of it feels robust enough to make big spending decisions on.
How the engagement works
From platform chaos to a shared measurement language.
We’re not trying to build academic MMM. We’re building a decision-ready measurement system that matches your current stack and maturity.
Step 1
Define the questions that actually matter.
We start with the decisions leadership and growth teams need to make: channel allocation, CAC/LTV targets, payback periods, and how to handle brand vs performance.
Step 2
Map signals, gaps and disagreements.
We reconcile GA4, ad platforms and backend systems, documenting where numbers diverge, what’s modeled, and where data loss is happening.
Step 3
Design a pragmatic measurement framework.
We pair a primary source of truth with platform-friendly views, so teams can still use Ads UI day-to-day without losing sight of reality.
Step 4
Implement clean reporting and guardrails.
We build decision-first reporting and define guardrails: what ranges are acceptable, when to investigate, and how to judge campaign tests.
Step 5
Coach teams on how to use it.
Measurement only works if people use it. We run working sessions with marketing, product and finance so everyone aligns on the same story.
What you get out of this
A measurement engine that actually changes how you spend.
The outcome isn't a pretty deck. It's a shared, operational way of reading results that everyone can work from each week and quarter.
For growth leaders
Budgets tied to confident numbers, not vibes.
You get clear CAC, ROAS and payback views that everyone trusts, plus simple rules for when to push and when to pull back.
For paid media teams
Less time defending numbers, more time improving them.
Instead of debating which platform is right, you work from a shared measurement spine and focus on improving inputs.
For finance & leadership
A single view of marketing’s impact on revenue.
You see how ad spend connects to pipeline, revenue and margin in a way that matches your financial systems.