Performance tracking and data-driven evaluation of influencer marketing , so you can tell which partnerships are driving incremental revenue and which are just earning agency commissions.
Reach, impressions, engagement rates, none of those tell you whether the partnership moved revenue. We rebuild the measurement framework around incrementality: would those buyers have bought anyway?
We work with brands that are spending six- and seven-figures on creator partnerships and don't have a defensible answer about what's working.
Holdout-region tests, geo-lift studies, and matched-market experiments, designed to isolate the influencer effect from underlying demand.
Beyond follower counts: audience overlap with your buyer profile, historical conversion patterns, and content fit. Vetting that goes deeper than a media kit.
Code-based attribution, link-based attribution, and post-survey methodologies, combined into a defensible read on the partnership's actual contribution.
Per-creator and program-wide dashboards: CPM, CPA, blended ROI, and the trajectory across activation cycles. Clear enough to act on.
What hypothesis is this partnership testing? Which buyer segment? Which buying motion? Without a hypothesis, there's nothing to measure.
Tracking links, codes, post-purchase survey questions, geo-lift design, set up before the activation, not after.
Activation, real-time monitoring, and a structured read at the end. We separate signal from social noise.
The creators who actually drove lift get re-engaged with bigger budgets. The ones who didn't get politely passed on. The program improves.
We tend to work best with brands that have already invested in influencer partnerships, at least a quarter of activations under their belt, and are now asking the harder question: which dollars actually moved the line?
If you're starting from scratch, we can help structure the program. But our highest-leverage work is usually retroactive analysis on existing investments and forward-looking program redesign.
A 30-minute call. Bring last quarter's activations, your current attribution approach, and the question you can't answer. We'll tell you what's measurable and what isn't, and what we'd test next.
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