Keeper—Recover Abandoned Carts Shopify App – Market Share & Install Footprint
(Updated October 2026) Track Keeper—Recover Abandoned Carts's estimated install share within every Shopify App Store group it appears in — categories, keywords, and collections — with current %, 30-day change, and Growing / Stable / Declining status. Increase sales by remembering customers’ abandoned shopping cart details across multiple devices..
Keeper—Recover Abandoned Carts — Market Share Across Shopify App Store Groups
Keeper—Recover Abandoned Carts's estimated install share within each Shopify App Store group it appears in — categories, keywords, and collections — with current %, status (Growing / Stable / Declining), and 30-day change. Filterable by date range and sortable by share or share change.
| Category/Keyword | Market Share | Status |
|---|---|---|
CategoryCart customization Marketing and conversion > Checkout > Cart customization | 0.00%0.00 | Stable |
CategoryCheckout Marketing and conversion > Checkout | 0.00%0.00 | Stable |
CategoryMarketing and conversion | 0.00%0.00 | Stable |
Showing 1-3 out of 3
Key Insights:
- Keeper—Recover Abandoned Carts captures 0 of installs in Cart customization — its strongest position among the 3 Shopify groups shown.
- All 3 top-share groups held steady this month — a settled install footprint for Keeper—Recover Abandoned Carts.
Keeper—Recover Abandoned Carts — Market Share Trend Across Top Groups
Monthly market share trajectory for Keeper—Recover Abandoned Carts across its top 3 Shopify App Store groups over the past year — pick categories or keywords to plot, filter by country, and switch sub-tabs for absolute share or per-interval change.
Charts Data
| Category / Keyword | May 2026 | Jun 2026 | Jul 2026 | Aug 2026 | Sep 2026 | Oct 2026 |
|---|---|---|---|---|---|---|
| Cart Customization | — | — | — | — | — | — |
| Checkout | — | — | — | — | — | — |
| Marketing And Conversion | — | — | — | — | — | — |
Key Insights:
- Keeper—Recover Abandoned Carts's share held flat across all 3 plotted groups — a settled install footprint over the charted period.
Top Categories Keeper—Recover Abandoned Carts Ranks In on Shopify
- CategoryCart customization — Holds 0 market share in this Shopify category — a steady footprint for Keeper—Recover Abandoned Carts.
- CategoryCheckout — Holds 0 market share in this Shopify category — a steady footprint for Keeper—Recover Abandoned Carts.
- CategoryMarketing and conversion — Holds 0 market share in this Shopify category — a steady footprint for Keeper—Recover Abandoned Carts.
Keeper—Recover Abandoned Carts on Shopify — Market Share FAQs
1. Where does Keeper—Recover Abandoned Carts have the most market share on Shopify?
Keeper—Recover Abandoned Carts captures the largest share of installs in Cart customization — 0 of the group's tracked install base, followed by 0 in Checkout and 0 in Marketing and conversion. Sort the table by Share to see the full ordered list.
2. Which Shopify categories is Keeper—Recover Abandoned Carts gaining or losing share in?
Keeper—Recover Abandoned Carts's share movement is mixed this month — gaining in some groups, holding or slipping in others. Use the "Market Share Changes" sub-tab to find both the climbers and the decliners ordered by movement size.
3. How is Keeper—Recover Abandoned Carts's Shopify market share calculated?
Market share is estimated from each app's review velocity within a group, used as a proxy for install share. For category and collection groups, it's a straight share-of-reviews calculation; for keyword groups, ranking position is weighted (rank #1 ≈ 40× the weight of rank #22, with apps beyond #22 excluded) since search traffic concentrates heavily at the top. The Country filter on the table re-computes share using only that country's reviews.
4. How often does Keeper—Recover Abandoned Carts's Shopify market share update?
Share figures are recomputed weekly from the latest review data. Significant share changes typically take 2–4 weeks to manifest because the underlying review base moves slowly; switch the chart's granularity to Weekly to spot inflection points within the noise.
