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Meta's Engaged-View Attribution Split: What to Track Now

Meta now splits app conversions into click-through and engaged-view attribution — why reported ROAS moved and what to check before reacting.

Acquisition

Meta changed how it attributes conversions for app campaigns, including Advantage+ App campaigns, in a way that’s already reshaping reported performance without any change in real user behaviour. Click-through attribution now counts only genuine link clicks; interactions that used to count as clicks — likes, shares, saves, comments, profile taps, and ad expansions — now fall into a separate “engaged-view” attribution category, and the video engaged-view threshold dropped from ten seconds to five. The result is that two campaigns with identical real-world performance can show materially different click-through numbers before and after the change, purely because of where an interaction now gets bucketed.

For teams that report blended ROAS or CAC pulled straight from Meta’s dashboard, this is the kind of change that produces a confusing week: a metric moves, the instinct is to look for a creative or targeting cause, and the actual explanation is a definitional change in the ad platform’s own attribution model. The teams least exposed are the ones who attribute app installs and in-app events through their own MMP or first-party pipeline and treat Meta’s in-platform numbers as directional rather than authoritative — everyone else needs to actively separate the two attribution types to keep like-for-like comparisons intact.

Data Points to Track

  • Click-through vs. engaged-view conversions, reported separately, rather than accepting a single blended “conversions” figure from Meta’s dashboard, since the two now represent meaningfully different user intent
  • Attributed installs and events by attribution type, cross-checked against your MMP’s independent attribution, to see how much of any reported change is a Meta-side reclassification versus a real shift in campaign performance
  • Video engaged-view conversions specifically, watched for a step change coinciding with the five-second threshold drop, since this alone can inflate engaged-view volume independent of creative performance
  • CAC and ROAS calculated separately for click-through-only conversions, held as the more conservative, comparable-over-time metric while engaged-view volume is still settling
  • Advantage+ App campaign structure changes, since Meta is phasing out standalone Advantage+ App Campaign creation in favour of newer automation-first setups — a structural migration that can itself shift reported numbers independent of the attribution split

Setup Steps

  1. Pull historical Meta campaign data and re-segment it by the new attribution categories where Meta’s reporting allows, to establish a like-for-like baseline before comparing pre- and post-change performance.
  2. Cross-reference Meta-attributed conversions against your MMP or first-party attribution for the same campaigns and date range, quantifying the gap rather than assuming Meta’s number is ground truth.
  3. Update any automated bidding or budget-allocation rules that key off Meta’s blended conversion metric, since a metric that moved for definitional reasons shouldn’t trigger the same automated response as a real performance shift.
  4. Flag click-through-only ROAS as the primary reporting metric in internal dashboards until the engaged-view category has enough history to be trusted at face value.
  5. Review any Advantage+ App campaigns still on the legacy structure and plan the migration timeline before Meta’s deprecation forces an unplanned change mid-quarter.

Actionable Insights

A sudden lift in reported conversions or ROAS immediately following Meta’s attribution split is very likely a reclassification artefact, not a genuine performance improvement — confirm against independent attribution before reallocating budget toward the campaigns that look like they improved. Over the medium term, the more useful signal is the ratio of engaged-view to click-through conversions per campaign: a high ratio suggests a campaign is winning mostly on low-intent interactions (likes, saves, brief video views) rather than genuine link clicks, which is worth knowing before scaling spend on the assumption that reported ROAS reflects real acquisition efficiency.

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