Understand the audience
Who actually buys, and the jobs they're hiring you for. Declared segmentation built on what people say, not what a shrinking cookie infers.
For digital marketers
Research at the speed of the campaign.
The signals you've optimized on for fifteen years are degrading all at once: cookies and mobile IDs fragmenting, search going dark into AI answers, location data regulated into retreat. As inference gets harder, the declared answer, what a real person tells you directly, becomes the most durable input you have left. Real-respondent research for every campaign stage, fast enough to act on mid-flight.
Test the message, prove the creative, measure the lift: research the campaign was flying blind without.
Three reads that change the campaign
Understand the audience, test the message, and measure the lift while you can still act on it. Each returns in hours, on real respondents, additive to your stack, never a replacement for it.
Test the message
8-10 messages ranked per segment, same day, so the winning message per segment is locked before any creative gets built around a guess.
Measure the lift, live
Survey-based brand lift and incrementality, test vs. control, tracked live. Privacy-resilient measurement that doesn't depend on tracking the user.
The full campaign lifecycle map
At each stage of your own workflow there is a question your data can't answer, and a fast-research insert that fills it. None of this replaces your stack or your agency; it fills the gaps the dashboards can't see. The enemy is never your tools. It's the decision made blind.
1. Audience & targeting
The gap: Cookie and ID decay make lookalikes noisier and walled gardens hide the consumer. You're targeting a fragmenting inference of who buys.
The insert: Declared segmentation: who actually buys and the jobs they're hiring you for, built on what people tell you.
2. Message development
The gap: There's no single message for every segment, yet it's set by gut, and the creative gets built around that one guess.
The insert: Message and claims testing: 8-10 messages ranked per segment, same day, before any creative begins.
3. Creative & launch
The gap: Creative is the single biggest driver of ad ROI, yet most teams 'test' it by spending live budget until a winner emerges.
The insert: Pre-flight concept and hook testing the moment creative is finished; launch the winner the same day.
4. In-flight optimization
The gap: Dashboards show the what, such as CTR and CVR, but not the why, and you never see the people who didn't convert.
The insert: Fast in-flight variant tests and audience-reaction reads, back in hours, while you can still act on them.
5. Measurement & attribution
The gap: Last-click and multi-touch attribution are structurally broken: 30-40% of conversions untracked, digital over-credited by 30%+.
The insert: Survey-based brand lift and incrementality: test vs. control, tracked live, independent of the pixel.
6. Retention & growth
The gap: You can see churn happen but not why; repeat-purchase drivers and the voice of the customer are invisible in the pixel.
The insert: Purchase-driver and churn diagnosis, satisfaction, and voice-of-customer that fuels the next round of creative.
This isn't research versus the A/B test
In-platform A/B tests are genuinely fast, but a test is only as good as the ideas you feed it and the budget you have to run them. It spends real media to learn (you pay for the losing impressions), only runs once the creative is already live, needs conversion volume to reach significance, and tells you which variant won, never why. And the legacy research alternative ran about 18 days across five hand-offs, so the answer landed after the flight was over.
Research expands the field of imagination and prioritizes it: the drivers, the blockers, the segments, and the sequence. A/B testing optimizes the few combinations worth the spend. Feed sharper hypotheses in, and every test dollar works harder. Research makes A/B testing more effective; it doesn't replace it.
Less than $1 CPM, all-in
The whole program, message testing, creative testing, and live brand lift together, runs for under $1 on the effective CPM. For a mid-sized brand that's about $20K across the campaign: roughly the price of one traditional brand-lift study, but spread across the whole lifecycle instead of a single read at the end.
<$1 CPM
All-in for the full program against your media: about $0.40 added to the effective CPM on a $500K campaign.
~56%
Of a digital campaign's sales lift is driven by creative quality, more than targeting or media.
5% → $25K
A 5% lift on a $500K campaign returns more than the research cost before a brand-lift study would even have come back.
Run research like a performance channel.
Same budget, a constant flow of insight, used inside the campaign loop instead of beside it.