Four times the sales on the same ad budget
A DTC health shot brand had spent two quarters of in-house campaign management producing flat results. The work rebuilt targeting, creative, and attribution on the existing budget, and the brand posted its best sales month on record inside six months.
- Sales growth in six months, without increasing ad spend
- 4x
- Year-over-year revenue growth
- 65%
- Revenue lift in the second half against the first
- 45%
The challenge
A good product with no way to prove what was working
The brand had spent two quarters running its own campaigns and seen revenue stay flat. The product was genuinely differentiated, but the advertising was not translating that into purchases, and generic wellness messaging does not survive a crowded feed.
The deeper problem was measurement. Shopify's attribution needed a proper tracking framework built from campaign down to individual ad, and without it every optimization decision was being made on unreliable data.
Before and after
What changed between the first half and the second
- First half, managed in houseBroad and unrefined audience targeting, a limited creative testing framework, basic attribution with no campaign-level tracking parameters, no coordination between Meta and Google, and a stagnant cost per purchase with no clear path to improve it.
- Second half, rebuiltMultiphase audience refinement toward the lowest cost per purchase, A/B creative testing built around health benefits, a full tracking framework in Shopify from campaign to ad level, Meta prospecting and retargeting running with Google Search and Shopping, and a cost per purchase that declined consistently.
How it ran
Audience refinement meets attribution precision
- Phase one: broad, to gather signalDeliberately wide segmentation first, to collect real purchase signal data rather than assume where the buyers were.
- Phase two: narrow toward efficiencyProgressive tightening onto the audiences producing the lowest cost per purchase, with winning ad variations scaled selectively rather than all at once.
- Meta for demand, Google for intentMeta prospecting created awareness and retargeting brought engaged visitors back, while Google Search and Shopping captured the demand that already existed. Run as one system, not two.
- Tracking built before scalingA campaign-to-ad-level parameter framework in Shopify, calibrated last-click attribution, and a reporting layer for allocation decisions, all in place before budget moved.
The revenue arc
First half, second half, full year
- Second half revenue against the first
- +45%
The first two quarters under new management, measured against the in-house baseline.
- Full year revenue growth
- +65%
Total business revenue year over year.
- Sales growth in six months
- 4x
Achieved without increasing ad spend, which is the point worth holding onto.
Return on ad spend settled at 1.89 on a $325 customer lifetime value basis. On a single-purchase basis it is lower, which is why lifetime value is the number this category plans against.
What carried the result
Three things worth taking from this program
- Refinement beats a bigger budgetFour times the sales on the same spend suggests most direct-to-consumer brands are underperforming the budget they already have. The question is usually who it reaches, not how much of it there is.
- Meta and Google are complementary, not parallelOne generates demand and the other captures intent. Running them as a coordinated system is what produced the cross-channel efficiency.
- Attribution first, then scaleBuilding the tracking framework before scaling meant every later optimization was made on clean data, which is what lets performance compound instead of plateau.
