Shopify Apps Losing Detectable Share: April 2026 Paired Results

In a StoreInspect panel of 14,732 stores with at least 60 days between their first and latest snapshots, Mailchimp matches fell from 2,294 to 2,214 and Rebuy matches fell from 766 to 711. Other identities increased over the same variable observation spans.

The results were extracted April 15, 2026. “Losing share” here means fewer endpoint detections in a fixed set of rescanned stores. It does not establish uninstalls, customer churn, revenue loss or a reason for switching.

Panel design

The historical snapshot window ran from December 8, 2025, through April 15, 2026. The database had 617,073 snapshots across 520,797 stores; 81,808 had at least two snapshots.

Both panels compare each eligible store's first and latest endpoints. The 60-day panel is a subset of the 30-day panel. These are not independent 30-day and 60-day measurement windows or a repeated confirmation of persistence.

The narrower panel contained 3,018 estimated under-50K records, 10,106 in 50K–200K, 1,595 in 200K–1M and only 13 in 1M+. It is selective and weighted toward rescanned mid-traffic stores, not representative of all Shopify stores.

The method normalizes a finite list of slug aliases, joins catalog classifications and excludes payment/checkout categories. It does not cover every alias or control detector versions, scan success, consent, geography or rendering differences. Matched accounts reduce changing composition, but do not remove those measurement effects.

Source: retained shopify-apps-losing-share-data-summary.md and shopify-apps-losing-share-stats.ts. No merchant-confirmed uninstall or same-category substitution evidence is attached.

Historical declines in endpoint detections

Each row counts distinct stores with the mapped identity at each endpoint. The last column is the retained filtered output from the broader, overlapping panel.

The broader negative table applied eligibility filters and a top-40 limit. Mailchimp's absence does not reveal its complete broader-panel result or establish slower erosion. Agreement among included names is a sensitivity observation across overlapping eligibility sets, not independent validation.

The separate relative-decline ranking required at least 200 first detections and 100 latest detections. Reviews.io's -8.9% led that eligible table. Tapcart's -19.9% decline had a smaller 136-store baseline and was excluded. Small baselines deserve context, not an unqualified “sharpest decline” headline.

The established-identity scorecard

Among mapped identities with at least 500 first detections, the output counted 16: 11 declined, five increased and none were unchanged. Nine declined by at least 3%.

That threshold defines this scorecard only. It does not apply to every row above, and it does not identify company failures. Net changes also hide gross additions and removals: two equal endpoint counts could mask many changed stores.

Category presence and vendor presence are different units

These category rows count distinct stores with any selected identity in the category. A merchant with several review tools counts once in the review row.

The same retained output showed Judge.me rising 2,310→3,667, Yotpo Reviews 1,161→1,294, Klaviyo 6,618→6,707, Yotpo Loyalty 523→579 and Wishlist King 141→151.

Some mapped identities declined while their category's detected presence increased. That is the supported observation. It does not establish vendor consolidation, category demand, migration between named tools or merchants' motives. Large category gains could partly reflect changing detection coverage.

Before treating a change as a migration signal

1. Confirm comparable successful scans and stable detector definitions at both endpoints.
2. Inspect lost and gained examples for consent, geo-targeting, dormant widgets and rendering changes.
3. Recheck the same stores, rather than assuming an endpoint absence is permanent.
4. Identify an apparent same-store substitute separately; a category increase elsewhere is insufficient.
5. Ask the merchant whether the tool changed and which requirement motivated it.
6. Verify the current workflow owner and contact route before proposing a migration.

The retained analysis did not complete those confirmation steps. Its changes are research leads, not proof that an individual merchant wants a replacement.

For a static historical footprint, read Shopify App Market Share. For an account-specific migration checklist, use Shopify App Replacement Candidates. An operator choosing software should test their own requirements and integrations; this table alone does not determine the safest vendor.