Attribution
Know which spend actually pays back, so you can scale the winners with confidence.
- C-level
- operators on your side
- 3 ways
- Consult, Embed, Run
- $0 to $350M
- revenue our operators built
How we think about attribution.
After iOS privacy changes and the steady decline of third-party signals, most dating brands are flying with broken instruments. You see spend, you see signups, and the line in between is mostly hope.
We have rebuilt attribution stacks on operator budgets: server-side events, MMP setup that actually fires, post-install cohorts that match the finance view, and incrementality tests when correlation isn't enough.
Any of these sound familiar?
You cannot say, with confidence, which channel produced your last hundred subscribers.
iOS and cookie loss broke the tracking you used to rely on.
Blended ROAS looks healthy while specific cohorts quietly lose money.
Budget decisions get made on gut, then defended with whatever dashboard is handy.
Where this hurts.
Most dating businesses are flying blind on attribution since deterministic tracking went dark. Blended numbers hide the cohorts and channels that actually lose money, so teams scale the wrong thing and starve the right one. The fix is not a new tool, it is a measurement model built by people who have had to spend real budget against it.
The work, spelled out.
- 01
A model that survives iOS
Media mix modeling and incrementality testing rather than fragile device-level tracking, calibrated to your actual spend.
- 02
Clean event tracking
We place and QA the events that actually fire across web and native, so the inputs are trustworthy.
- 03
Separate the noise
Organic from paid, channel-assisted from channel-driven, so you stop paying for conversions you would have had anyway.
- 04
Board-grade reporting
Cohort CAC, LTV, and payback by channel and month, in a format an investor will believe.
- 05
Decisions, not dashboards
We translate the model into a clear call on what to scale, hold, and cut.
The result a partner sees.
- 01
A defensible answer to which channel you should double.
- 02
Spend reallocated to what truly drives paying subscribers.
- 03
Reporting your board and investors actually believe.
Tangible artifacts, not slides.
An attribution model calibrated to your spend.
Clean, QA'd event tracking across web and apps.
A cohort CAC, LTV, and payback dashboard.
A reallocation plan: scale, hold, cut.
Three ways to bring us in.
We design the model and reporting, and hand it to your team.
We sit in as interim growth or analytics lead and operationalize it.
We own attribution and report the numbers as part of running marketing.
Most agencies. Then us.
- Sells you a tracking tool.
- Reports blended ROAS.
- Has never spent a marketing budget.
- Builds the model and tells you what to do with it.
- Reports incrementality and payback by cohort.
- Has spent nine figures and lived with the results.
We have rebuilt attribution stacks on operator budgets: server-side events, MMP setup that actually fires, post-install cohorts that match the finance view, and incrementality tests when correlation isn't enough.
We have made these calls with real budgets at scale, as the operators spending the money, not consultants theorizing about it.
Honest answers, before you ask.
Want this run, not just recommended?
Tell us where attribution is hurting. We will tell you what we would do. Then we will do it, or run it for a single management fee.