Customer story · Health & Fitness · Consumer subscription
Kestrel uncovered 45% more attributed installs after the IDFA cliff.
Why Kestrel ripped out their MMP and replaced IP-only matching with Link Trail's multi-signal waterfall.
- Lift in attributed installs
- +45%
- Avg. fingerprint confidence
- 0.92
- Migration to production
- <24h
The challenge
After ATT roll-out, less than a quarter of Kestrel's iOS users were sharing IDFA. Their previous vendor used a pure IP match and was throwing away anything ambiguous as organic — which meant millions in paid spend was looking unattributed in the dashboard.
The approach
01Drop-in iOS SDK
Kestrel swapped their existing SDK for Link Trail's Swift package in an afternoon, kept the same API key namespace, and shipped behind a feature flag for a week of side-by-side validation.
02Fingerprint scoring with a confidence floor
Link Trail's IP + UA + screen + timezone + locale fingerprint reattributed installs that had been silently dropped, with a 0.6 threshold so high-confidence matches were the only ones credited.
03SKAN postbacks in parallel
Conversion values mapped to onboarding and trial-start events, with postbacks landing in the same dashboard as deterministic matches — one ledger, one source of truth.
The results
Kestrel surfaced 45% more attributed installs without changing a single line of ad copy. Their performance team rebalanced spend across channels with the new data and lifted blended ROAS by 18% in the following quarter.
The honest version: we'd been flying blind on iOS for two years. Link Trail is the first thing that gave us back a real number to optimize against.
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