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Superwall as Your MMP: Attribution Without a Separate SDK

Superwall now works as its own mobile measurement partner, attributing installs and ROAS without a separate SDK — what to verify first.

Revenue

Superwall has added its own mobile measurement partnership capability, letting a team attribute ad installs and measure ROAS, cost per trial and cost per paid user directly through the SDK it’s already using for paywalls — without bolting on a dedicated attribution provider such as AppsFlyer or Adjust. Alongside it, Superwall shipped advertising charts (ad spend, ROAS, CPM, CPT, CPP next to revenue), an acquisition cohort report broken down by campaign, ad set, ad and country, and blended CPI and install-to-trial metrics. For a smaller team already paying for a paywall SDK, this is a genuine consolidation opportunity: one fewer integration, one fewer monthly bill, one fewer SDK’s worth of crash surface.

Consolidation only pays off if the new attribution numbers actually agree with the old ones during the handover. A dedicated MMP has years of postback matching, click-injection detection and fraud filtering behind its attribution model; a paywall tool’s new MMP feature is starting from a much shorter track record on exactly those edges. Switching cold — turning off the old MMP the same week you turn on Superwall’s — leaves no way to tell whether a shift in attributed installs is a real channel change or a difference in how the two tools resolve ambiguous clicks. That gap matters most for paid UA teams making daily bid decisions off these numbers.

Data Points to Track

  • Attributed installs from both MMPs run in parallel, tagged by source, for a full overlap window before either is trusted alone
  • Cost per trial and cost per paid user, compared side by side per campaign to catch systematic differences in how each tool credits ambiguous or delayed conversions
  • ROAS variance by channel, since a channel with heavier click-injection exposure (display networks in particular) is where two attribution models are most likely to diverge
  • Postback latency, comparing how quickly each MMP resolves an install to a click versus falls back to a probabilistic match
  • Cohort report consistency, spot-checking Superwall’s campaign/ad set/ad breakdown against the incumbent MMP’s equivalent report for the same date range

Setup Steps

  1. Enable Superwall’s MMP capability alongside your existing attribution provider, rather than replacing it outright, so both report on the same install traffic.
  2. Pick a fixed overlap window (four to six weeks covers most paid channels’ conversion lag) before making a cutover decision.
  3. Build a side-by-side report comparing attributed installs, cost per trial, and ROAS per channel across both tools for that window.
  4. Flag any channel with attribution variance above an agreed threshold for manual review rather than an automatic cutover.
  5. Only retire the incumbent MMP for channels that pass the comparison, keeping it running on any channel still showing meaningful divergence.

Actionable Insights

The channels most likely to disagree between the two tools are exactly the ones where accurate attribution matters most for bidding — paid social and display, where click volume and ambiguity are both high. A clean overlap comparison turns “should we trust the new built-in MMP” from a guess into a per-channel answer: cut over where the numbers agree, keep the dedicated MMP running a little longer wherever they don’t.

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