Measurement & attribution

Measurement that connects ad spend to the business.

We set up tracking, attribution and reporting that show what paid media is really producing, in customers, revenue and margin, rather than only what each platform claims.

The thinking

Why it works this way

Every ad platform grades its own homework. Google and Meta each count the conversions they influenced, often the same ones, using attribution windows and modelling that favor themselves. Added together, platform-reported results routinely exceed what the business actually recorded.

Good measurement doesn't pretend to be perfect. It combines clean platform tracking, first-party data and occasional controlled tests into a picture that's accurate enough to make budget decisions with confidence.

What we do

What's included.

The work itself, in plain terms. Every engagement is scoped to what your accounts actually need.

  1. Tracking implementation

    GA4, Google Ads conversions, Meta Pixel and Conversions API, and server-side tagging where it adds accuracy, all set up to respect consent.

  2. Conversion definitions

    Agreeing what counts: a purchase, a qualified lead, a trial start or a first paid renewal, and passing values that reflect each one's worth.

  3. Business-outcome reporting

    Blended acquisition cost, contribution margin and payback reported alongside platform metrics, so channel results can be checked against the bank account.

  4. Customer quality

    The first purchase isn't the whole story. Where the data allows, we track refunds, repeat purchases, subscription retention and lead quality by source.

  5. Incrementality

    Holdouts, geographic tests and platform lift studies, where volume supports them, to estimate what advertising actually caused.

  6. Acquisition economics

    Working out what you can afford to pay for a customer, how quickly you need that cost back, and what that means for budgets and targets.

Inside the account

What it looks like in practice.

The structure, tests and decisions behind a well-run account. The numbered notes explain why each line is built the way it is.

Measurement Consumer brand · all paid channels Last 30 days

What the platforms claim vs. what the business recorded

35% over-claim. Budgets set on platform totals would be funding conversions that happened once but were counted twice.

Paid media spend
$2.86M
Revenue (business)
$4.91M
MER (blended)
1.72×
New-customer CAC
$104.76
90-day repeat rate
34%
Meta incrementality (geo holdout)
0.71× reported
  1. Budget decisions use the business view (blended MER and new-customer CAC), with platform data steering optimization inside each channel.
  2. A holdout test showed the platform's reported conversions overstated true incremental impact, so its CPA target was set against the incremental figure, not the reported one.

Illustrative account · names generalized · not a specific client's results

How we think about it

Principles

  • Attribution is an estimate

    Every model makes assumptions. We use several views and look for where they agree.

  • Blended numbers keep everyone honest

    Total spend divided by new customers can't be inflated by double-counting.

  • Measure the customer, not just the conversion

    A cheap customer who refunds or churns in the first month is an expensive one.

What you get

Deliverables

  • Tracking audit and implementation plan
  • Conversion and value definitions
  • A reporting view combining business and platform metrics
  • Retention and refund views by channel where data allows
  • Incrementality test designs

Where it connects

It doesn't work alone

See how everything connects on the Grid

FAQ

Measurement questions.

Why don't our Google and Meta numbers match our actual sales?

Each platform claims credit for conversions it touched, using its own attribution window, and both include modelled conversions. The same sale is often counted by both. Comparing platform numbers with blended, first-party results shows how much of the reported total is overlap.

What's a good ROAS?

There isn't a universal number. The return you need depends on gross margin, repeat purchase, subscription retention and how quickly you need to recover acquisition costs. We work backwards from those economics to set targets.

Do we need server-side tracking?

Often it helps. Browser restrictions and ad blockers mean browser-only tracking misses conversions, and the Conversions API and enhanced conversions recover some of that signal. Whether full server-side tagging is worth it depends on your volume and setup.

Let's look at your measurement.

Share your goals, your channels and roughly what you spend. We'll reply with an honest view of where we'd start, or tell you if we're not the right fit.