First-purchase conversion lag: D0 vs D3 attribution sensitivity

Analysis

By UA Ledger staff1 min read

First-purchase conversion lag: D0 vs D3 attribution sensitivity

SKAN window 0–2 vs 3–7 and MMP Day-0 vs Day-3 purchase rates are different clocks. Labelled synthetic sensitivity only.

SKAN and MMP windows disagree on first-buy timing. A D0 purchase rate is not interchangeable with a window-2 coarse conversion value.

Documented clocks

Apple’s Receiving postbacks in multiple conversion windows (body-read 20 September 2026) states SKAdNetwork supports three conversion windows beginning at first launch: days 0–2, days 3–7, and days 8–35, with up to three postbacks when participants meet SKAN 4 conditions. Locking a conversion value early is optional via the lock-window API.

AppsFlyer Cohort treats Day 0 as the conversion day and lets you view on-day versus cumulative in-app event conversions. A cumulative D3 first-purchase rate includes D0–D3 buyers; an on-day D3 rate does not.

Labelled synthetic sensitivity

Teaching cohort of 10,000 attributed iOS installs:

Reference table
MetricValueNotes
MMP unique first purchasers by end of D0 (cumulative)250Studio `af_purchase` first occurrence
MMP unique first purchasers by end of D3 (cumulative)410Same event
Share of D3 buyers missing from D039.0%(410−250)/410
SKAN window-1 (0–2) CV schema encodes “any purchase”yes/no bitStudio schema, not Apple revenue

If UA optimises only to a D0 MMP purchase event while finance reads D3 cumulative payers, the lag alone moves the apparent conversion rate. Do not invent a “true” industry lag.

Facts vs limits

Reference table
FactLimit
SKAN windows 0–2 / 3–7 / 8–35 are documentedMapping CV bits to first purchase is a studio schema
MMP Day 0 vs cumulative D3 are distinct viewsThis lab claims no genre D0→D3 lag average
Postbacks can be delayed after window closeRandom delay ranges are documented separately by Apple

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Draft prepared 20 September 2026. Local expansion-500 file; human editorial review pending. No CMS write.

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