[ Case study ]
Advantage+ shopping took 60% of budget by default and cannibalized the brand's retargeting and prospecting campaigns — its reported ROAS looked fine because it was harvesting demand the other campaigns created.
CLIENT a mid-price apparel brand — FOCUS Carve the budget lines explicitly
Representative examplesEvery case study in this library is an illustrative composite of the kind of engagement we deliver — written to show our method and standards, not to name clients.
Seasonal drops anchor the apparel brand's calendar — four collections a year, each with a launch window the merchandising team plans months ahead. The business sells direct through its own store, paid social is the primary acquisition channel, and a small retargeting program was the team's pride. The automated shopping campaign had been adopted early and enthusiastically; by the time we arrived it consumed the majority of budget by default while the drops' prospecting plans quietly thinned.
Advantage+ shopping took 60% of budget by default and cannibalized the brand's retargeting and prospecting campaigns — its reported ROAS looked fine because it was harvesting demand the other campaigns created.
We proposed keeping Advantage+ but giving it a fence and a quota. Prospecting, retargeting, and the automated campaign each received defined budget shares with exclusions set so each fished in its own pond — the seasonal drop's prospecting budget became a guarantee rather than a residue. The biggest claim on the books, retargeting's platform ROAS, went under a holdout test to measure what it actually adds. Quarterly re-balancing runs on blended MER and the holdout findings, not platform ROAS comparisons.
Just as important is what we ruled out, and why:
Prospecting, retargeting, and Advantage+ got defined budget shares with exclusions set so each campaign fished in its own pond.
A geo-holdout test on the retargeting line measured what it actually adds — the result (modest, not zero) re-priced that line honestly.
Budget allocation reviews run on blended MER and the holdout findings, not on platform ROAS comparisons.
Delivered by the growth pod — paid social specialist over 6 weeks, with working increments reviewed with the client every week.
Obstacle
The first exclusion pass was too aggressive — Advantage+ starved of audience overlap, delivery collapsed, and the automated campaign's spend cratered below its quota for a week.
Handled: We loosened the exclusions to the minimum that kept ponds separate, watched delivery stabilize within days, and locked the working configuration before touching budget shares again.
Obstacle
Pre-launch power sizing caught the flaw: every region clean of retail promotions was too small, and reading a geo-split cleanly would have needed a window twice the drop calendar allowed.
Handled: We switched the holdout from a geo-split to a time-split — matched weeks with and without the line inside the promo markets — re-sized it against the drop calendar, and pre-registered the replacement design before launch.
Obstacle
The seasonal drop date moved forward two weeks with little notice, compressing the prospecting build the new budget guarantees were supposed to protect.
Handled: We front-loaded the drop campaign's learning phase into the holdout period, kept the guaranteed budget intact, and the launch delivered under the new structure with no emergency reallocation.
The headline: retargeting's platform-reported roas versus its measured incremental roas — the gap, stated plainly, re-priced the line — 6.2× → 1.4×, read from Geo-holdout test results. A second check: blended mer over the quarter after re-balancing at +18%.
Drop launches stopped being budget negotiations. The merchandiser plans the calendar knowing the prospecting line will be there; the e-commerce manager stopped babysitting Advantage+ daily. The retargeting line is discussed with its measured contribution attached, which ended a long habit of quoting flattering numbers in team meetings. Allocation reviews run on one number everyone can verify, and the quarterly conversation moved from 'why did ROAS fall' to 'what did we buy' — a different question with better meetings.
The result was read from Geo-holdout test results against the pre-engagement baseline over the stated window, with a guardrail check on blended mer over the quarter after re-balancing. Where platform-reported numbers and business outcomes differ, this record says which layer it is quoting.
What we would do differently
We would have run the holdout in the first month — two months of budget sat on retargeting before the test re-priced it.
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−33%Cost per qualified enquiry over the quarter versus the prior one, on verified conversion tracking
0.8s 2.3sAverage 3-second hold rate on ads (proxy for hook survival), cohort over cohort
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