Your own record is what defends the finding
One report is a claim. A dated series of reports plus the decisions taken on them is a track record, and scepticism responds to those very differently.
Three platforms, three answers, one budget to defend. Your GA4 export already holds the answer, and the first finding is free and never leaves your browser. Get your first finding free
By Joris van Huët, Founder & CEOUpdated 3 min read
One report is a claim. A dated series of reports plus the decisions taken on each is a track record, and scepticism responds to those very differently. The record is built months before it is needed.
What a record contains
| Field | Why it defends you |
|---|---|
| Date and window of each read | Makes the series comparable |
| Estimate, interval, coverage per channel | Shows which calls rested on strong evidence |
| The decision taken | Connects measurement to action |
| What would have changed it | Proves the reasoning was falsifiable at the time |
| What actually happened afterwards | The only real validation available |
The last row is what converts a log into evidence.
Why this beats arguing about method
A sceptic who does not trust causal inference is not going to be converted by an explanation of causal inference. They may well be moved by a record showing that decisions taken on these reads worked out, and that the ones with wide intervals were treated more cautiously.
Keeping it outside the tool
The record belongs in a document you control, not in a vendor's interface. Vendors hold numbers, not reasoning, and access usually ends with the contract. The habit and the template are in keeping the attribution record in your own workspace and the ownership argument in you do not own your attribution data.
The annual review
Once a year, take every logged decision and check it. Which channels did you scale, and did revenue follow. Which did you cut, and what changed. Which reads had wide intervals that you acted on anyway.
That review is the single most useful marketing document a brand can produce, and it is impossible without the log. It is also the thing you bring when someone asks whether any of this measurement has ever been worth it.
What to record from each read
Every channel gets a data-health score from 0 to 100 that grades the read, not the channel, and a next step: raise, cut or hold, or fix tagging first.
Start it late if you have to
If you have no record, start today with one line and stop worrying about the missing history. Six months from now the log will be the reason a sceptical conversation goes differently, and six months from now is closer than it sounds.
Related answers
Frequently asked questions
What should I log after each attribution read?
The date and window, per channel the estimate, the decision taken, what would have changed it, and later, what actually happened. The last two are what turn a log into evidence.Why does a track record persuade a sceptic better than method?
Because someone who does not trust causal inference will not be converted by an explanation of causal inference. A record showing decisions taken on these reads worked out is an empirical argument about your process rather than a theoretical one.Where should the record live?
In a document you control, not in the vendor's interface. Vendors hold numbers rather than reasoning, and access usually ends with the contract, taking the comparison against your own past with it.
Go deeper: Incrementality testing, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
Have an audience of ecommerce operators? Earn 20% recurring commission by recommending the €99 read.
Keep reading
Terms in this article
- Ad SpendAd Spend is the total amount invested in advertising campaigns. It is measured against Return on Ad Spend (ROAS) to evaluate campaign effectiveness.
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Attribution DebtAttribution debt is the gap between what your ad platforms claim drove revenue and what actually caused it, carried quarter after quarter into the budget. It is how marketing debt accrues: allocate on claimed conversions long enough and the plan itself becomes the liability.
- Causal InferenceCausal inference is the set of methods for estimating how much an outcome changes because of a cause, rather than alongside it. It works by comparing what happened with an estimate of what would have happened without the cause.
- RevenueRevenue is the total income generated by the sale of goods or services related to a company's primary operations.
- TaggingTagging labels or mentions another user, page, or location in a social media post. It creates links between entities, which helps analyze influence and attribution.