# Case Study: The Account Where &#x27;At Best a Guess&#x27; Was the Verdict on Attribution | Crank

Source: https://wearecrank.com/case-studies/mens-grooming-attribution-2017

Missing event data, inconsistent tagging, and a trading decision that had been mistaken for a tracking fault.

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Men's Grooming — 2017 Audit

# The Account Where 'At Best a Guess' Was the Verdict on Attribution

Missing event data, inconsistent tagging, and a trading decision that had been mistaken for a tracking fault.

Challenge

The audit's own verdict on attribution was blunt: at best a guess. Key event data didn't exist before August, tagging was inconsistent, and server-side measurement was inflating direct traffic while suppressing its bounce rate.

Approach

Separate what the data could actually support — product category analysis, for instance, only existed for three months of the year — and check whether apparent performance shifts were tracking artefacts or real trading decisions.

Outcome

One of the clearest findings was neither a tag nor a guess: a delivery cost that rose in step with average order value pointed to an unannounced minimum order threshold — order value rose and conversion fell as a direct, explicable consequence of a decision nobody had flagged to marketing.

01

## An audit that called its own attribution a guess

Key event data did not exist before August, tagging was inconsistent across the rest of the year, and server-side measurement hits were inflating direct traffic while suppressing its bounce rate. Spend allocation decisions made on this data were, in the audit's own words, at best a guess.

02

## Three months of data standing in for a year

Product category information was present in the data for April to June only. Any analysis of what actually sold — by season, by device — had to be confined to that window, or it wasn't analysis at all.

03

## A trading decision mistaken for a tracking change

Average delivery cost rose in step with average order value from mid-year, suggesting a minimum order threshold had been introduced without anyone telling marketing. Order value rose; conversion fell — a genuine business decision, not a broken tag, and one that would have been diagnosed as a measurement fault without checking.

## What a year of unreliable attribution looked like

0

Months of reliable event data before August

3 of 12

Months with usable product category data

“At best a guess”

The audit's own verdict on attribution

1

Undocumented trading decision, mistaken for a tracking fault

Drawn from Crank's account audit conducted in 2017 for this men's grooming brand, before the account was taken on. Client not named.

## Want to know what this looks like in your own account?

These findings came from asking straightforward questions before any budget moved. We're happy to do the same for yours.

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