Audience testing
Structured audience testing for beauty, ecommerce, and consumer brands. Disciplined experiments across segments, targeting, and campaign structures that find the audiences worth scaling.
Testing audiences without structure is just spending. We run a disciplined audience testing program across Meta, TikTok, Google, and YouTube that isolates variables, hits statistical significance, and files every learning where the whole team can use it.
The point isn't to stay busy. It's to walk out of every quarter with a proven audience playbook the brand didn't have three months ago.
What we do
- Test design and prioritization. Every audience test starts with a hypothesis, a KPI, and an expected P&L impact. We keep a prioritized backlog so spend goes to the segments and structures worth answering, not whatever is easiest to launch.
- Statistically sound readouts. Sample sizes, holdouts, and confidence thresholds are agreed upfront, so results get trusted instead of debated. We call tests when the data says to, not when the calendar does.
- Learning libraries that scale. Winning audiences feed the media plan. Losers become guardrails. Every result is documented by brand and platform, so the team never re-runs the same mistake, and new launches start from what we already know instead of zero.
Our approach
Every audience test has a hypothesis, a KPI, and an expected impact. We test what could actually move the P&L, not what's easy to launch.
Sample sizes, holdouts, and confidence thresholds are agreed upfront, so results get trusted, not debated. No peeking, no moving the goalposts.
Winning audiences feed the media plan. Losers become guardrails, so the team stops re-running the same mistake.
Outcomes
- Compounding CAC efficiency quarter over quarter, because every audience test result permanently improves the playbook instead of evaporating when the campaign ends.
- Faster launches into new markets and new products, because audiences already proven for the brand carry over instead of getting rediscovered from scratch.
- A shared audience playbook across creative, media, and conversion.
FAQ
- How long does an audience test usually run?
- Most audience and structural tests need two to four weeks before we can trust the read. We agree on that window before launch, so nobody's tempted to call it early.
- What do you actually test?
- Audiences, campaign structures (Advantage+ vs. manual), exclusions, and geo or segment splits. We run whatever we think can move the P&L most first. Novelty on its own doesn't earn a spot at the top of the queue.
- How do you know a test result is real and not noise?
- We agree on sample sizes, holdouts, and confidence thresholds before the test goes live. If a result doesn't clear that bar, we mark it inconclusive and move on. We won't massage the numbers until they say what we want.
- What happens to the learnings after a test ends?
- Every result gets written up and filed by brand and platform. Winners shape the next media plans. Losers become guardrails, so we don't waste budget running them again.
