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Payback reports are FloKit’s primary analysis surface. They connect your acquisition spend to downstream subscription revenue so you can see which campaigns, creatives, countries, and offers are paying back — and which aren’t. Unlike platform-reported ROAS, payback reports are grounded in actual subscription revenue from your billing sources or warehouse — net of refunds and including renewal revenue.

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What a payback report shows

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Reading a payback curve

A payback curve plots cumulative cohort revenue against time. The point where the curve crosses your CAC line is your payback day. Example: A campaign spending 10,000acquires200payingsubscribersata10,000 acquires 200 paying subscribers at a 50 CAC. If the average subscriber generates $55 in revenue over 3 months, the cohort is on a 90-day payback window — breakeven at month three, then profitable. Now compare that to a second campaign spending 20,000for200subscribersata20,000 for 200 subscribers at a 100 CAC — but where the average subscriber generates $120 over 3 months. That campaign hits payback in 75 days despite twice the spend per user. Higher CAC, faster payback, more total profit. The insight: CAC alone doesn’t tell you whether a campaign is worth scaling. The payback window — and the LTV trajectory behind it — is what matters. FloKit surfaces both so you can compare campaigns on a like-for-like basis.

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Dimensions

Group any payback report by:
  • Campaign — top-level campaign.
  • Ad set — ad group or ad set within a campaign.
  • Creative — individual creative asset.
  • Channel — paid social, search, influencer, ASA, etc.
  • Country — acquisition country.
  • Offer — trial length, discount, or plan type.
  • Paywall variant — A/B test variant the user saw at conversion.
  • Cohort week — the calendar week the cohort was acquired.
Combine dimensions to answer questions like: “Which creatives on Meta in the UK have the strongest 90-day ROAS?”

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Filters

  • Date range — set acquisition cohort start and end dates.
  • Channel — filter to one or more acquisition channels.
  • Country — filter to specific markets.
  • Product — filter by subscription plan (monthly, annual, etc.).
  • Minimum spend threshold — exclude cohorts below a spend floor to remove statistical noise from small tests.

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Payback windows

FloKit calculates payback at five standard windows: Use the window that matches your primary subscription plan length. For annual plans, 90-day ROAS is a leading indicator — 365-day is the definitive figure.

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Accessing payback reports

Dashboard Go to Reports → Payback. Select your date range, grouping dimension, and payback window. The report updates every 6 hours. API
See API reference → Reports for query parameters and response schema. CSV export From Reports → Payback, click Export to download the current view as CSV. Export includes all visible rows and columns at the selected grouping and filter settings.

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How long before the report populates

Historical data from your subscription source or data warehouse backfills immediately — you don’t need to wait weeks to see your first payback curves. For large-scale apps: Payback reports update every 6 hours by default. For apps with more than 1M monthly actives who need real-time report access, contact FloKit.