
TL;DR
- Our October 26, 2026 analysis matched selected mobile-app-builder identities on 655 of 1,099,406 recent store-domain records (0.06%).
- Tapcart was the largest matched name group, with 653 records.
- Before a project, verify the live app, repeat-purchase use case, notification permission and support ownership.
October 26 study: recent public signals
We selected the most recent successful full scan per record from September 26 through October 25, 2026 (UTC), required saved app and pixel lists, and excluded 3,163 records currently marked confirmed dead. The 1,099,406-record denominator includes 105,592 scans with no detected apps. It describes recent StoreInspect coverage, not a representative census of live merchants.
This panel uses 15 specified name groups, matched exactly after normalizing case and surrounding spaces. This list includes progressive-web-app and native-app-related identities. App-store publication, active users and mobile conversion are not measured.
| Tracked name group | Recent records | Share of full cohort |
|---|---|---|
| Tapcart | 653 | 0.06% |
| OneMobile | 1 | Under 0.01% |
| Plobal Apps | 1 | Under 0.01% |
| Ampify PWA | 0 | 0.00% |
| Appbrew | 0 | 0.00% |
| Apploy | 0 | 0.00% |
| Appmaker | 0 | 0.00% |
| Evlop | 0 | 0.00% |
| MageComp | 0 | 0.00% |
| MageNative | 0 | 0.00% |
| Shopney | 0 | 0.00% |
| SimiCart | 0 | 0.00% |
| Superfans | 0 | 0.00% |
| Vajro | 0 | 0.00% |
| Vegacart | 0 | 0.00% |
The 655 figure counts each matched record once. Name groups can overlap, so do not add provider rows together. The 12 zero-count groups had no matches under these exact rules.
| Estimated monthly traffic | Cohort records | Matched records | Match rate |
|---|---|---|---|
| Under 50K | 1,066,914 | 320 | 0.03% |
| 50K–200K | 27,301 | 130 | 0.48% |
| 200K–1M | 5,164 | 200 | 3.87% |
| 1M–5M | 27 | 5 | 18.52% |
The under-50K tier accounts for 97.04% of this cohort; the 1M–5M tier has only 27 records.
Detector versions were not recorded for this cohort, so do not read the gap between these counts and the June study below as provider growth.
Earlier research and product checks
The studies and product comparisons below keep their own dates, samples and matching rules.
What we detected in June 2026
Our June 21, 2026 extraction matched 788 mobile-builder identities among 802,852 store records (0.10%). Tapcart accounted for 787; Plobal Apps for one.
We used StoreInspect's stored app records on stores that had been scanned at least once. The study imposed no maximum scrape age or active-store condition; individual observation dates were not retained alongside its examples. The finite builder names included Tapcart, Shopney, Vajro, Plobal Apps, MageNative, MageComp, SimiCart, OneMobile, Appbrew, Appmaker, Ampify PWA, Vegacart, Apploy, Evlop and Superfans. Uneven signature coverage can make custom or other native apps invisible.
This is firsthand database research, not a hands-on app test. Official Tapcart documentation and prices were rechecked October 10, 2026.
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Detection differences by estimated traffic
| Traffic tier | Stores | Mobile-builder stores | Adoption | No tracked identity + any contact | No tracked identity + any contact + 2+ retention layers |
|---|---|---|---|---|---|
| Under 50K | 522,420 | 121 | 0.023% | 372,937 | 18,367 |
| 50K-200K | 266,482 | 424 | 0.159% | 222,896 | 50,226 |
| 200K-1M | 13,898 | 234 | 1.684% | 12,144 | 5,013 |
| 1M+ | 54 | 9 | 16.667% | 41 | 18 |
The separate traffic grouping totals 802,854 records, two more than the 802,852 overview; each row keeps its own denominator.
The 200K–1M group's match rate was about 73 times the under-50K group's. The 1M+ row has only 54 stores.
Adjacent tools in the detected group
| Adjacent app | Category | Mobile-builder stores using it | Share of mobile-builder stores |
|---|---|---|---|
| Klaviyo | Email/SMS | 609 | 77.3% |
| Gorgias | Support | 217 | 27.5% |
| Yotpo Reviews | Reviews | 179 | 22.7% |
| Rebuy | Personalization/Upsell | 144 | 18.3% |
| Yotpo Loyalty | Loyalty | 136 | 17.3% |
| Judge.me | Reviews | 135 | 17.1% |
| Attentive | Email/SMS | 128 | 16.2% |
| Smile.io Loyalty | Loyalty | 116 | 14.7% |
| Triple Whale | Analytics | 116 | 14.7% |
| Elevar | Analytics | 92 | 11.7% |
| Okendo | Reviews | 90 | 11.4% |
| Postscript SMS | SMS | 80 | 10.2% |
| Loox | Reviews | 56 | 7.1% |
| LoyaltyLion | Loyalty | 55 | 7.0% |
| Nosto | Personalization/Upsell | 42 | 5.3% |
| Omnisend | Email/SMS | 28 | 3.6% |
| Northbeam | Analytics | 26 | 3.3% |
| Skio | Subscriptions | 18 | 2.3% |
| Growave | Loyalty | 15 | 1.9% |
| AfterSell | Personalization/Upsell | 13 | 1.6% |
Rows can overlap. The 609 Klaviyo matches (77.3%) point to the integration to check first.
The study also found a stored Plus flag on 695 of 788 matched stores, or 88.2%, versus 43.7% across its base. The flag is a stored classification, so confirm any plan-dependent requirement with the merchant.
Historical category differences
| Category | Stores | Mobile-builder stores | Adoption |
|---|---|---|---|
| Fashion | 195,232 | 295 | 0.151% |
| Beauty | 59,069 | 168 | 0.284% |
| Food & Beverage | 73,987 | 61 | 0.082% |
| Health & Wellness | 35,904 | 53 | 0.148% |
| Home & Garden | 138,214 | 52 | 0.038% |
| Sports & Fitness | 33,124 | 33 | 0.100% |
| Jewelry | 47,396 | 30 | 0.063% |
| Hobby | 52,694 | 21 | 0.040% |
| Outdoor & Adventure | 27,253 | 15 | 0.055% |
Fashion and Beauty had the largest raw matched counts in these displayed categories. Use category to select relevant merchandising examples, then validate actual customer behavior.
Historical named-store observations
| Store | Category | Traffic tier | Stored Plus flag | Builder | Maturity layers |
|---|---|---|---|---|---|
| Princess Polly | Fashion | 5M-20M | Flagged | Tapcart | 4 |
| Posh Peanut | Baby & Kids | 1M-5M | Flagged | Tapcart | 6 |
| VRG GRL | Fashion | 1M-5M | Flagged | Tapcart | 4 |
| YoungLA | Sports & Fitness | 1M-5M | Flagged | Tapcart | 4 |
| Oh Polly AE | Fashion | 1M-5M | Flagged | Tapcart | 4 |
| Oh Polly UK | Fashion | 1M-5M | Flagged | Tapcart | 3 |
| Culture Kings | Fashion | 1M-5M | Flagged | Tapcart | 2 |
| Truly Beauty | Beauty | 1M-5M | Flagged | Tapcart | 2 |
| Beis | Beauty | 200K-1M | Flagged | Tapcart | 6 |
| Cernucci | Jewelry | 200K-1M | Flagged | Tapcart | 6 |
These rows come from the June 21 extraction and were not rechecked in October. Check the official website, current App Store/Google Play links and authorized merchant information before reusing one in a sales recommendation.
Current vendor comparison starts with requirements
If you only need browser notifications, start with the Shopify web push apps comparison. It explains the Home Screen web-app journey on iPhones and the distinction from building a native mobile app.
The Shopify App Store mobile-builder category lists alternatives such as Appbrew, Shopney, Superfans and MageNative to compare against the same requirements.
Tapcart's official listing, checked October 10, advertises branded iOS/Android apps and push workflows. It lists Growth at $500/month, Scale at $1,250/month and Enterprise+ at $2,850/month, in USD. Its free listing describes a seven-day trial, not ongoing free production service. Growth lists integrations and unlimited push; Scale lists A/B testing and segmentation; verify the required feature on the quoted plan.
Compare actual written quotes for annual terms, regional apps, implementation and ongoing operation; older $250 monthly or $200 annual figures no longer match the listing. Developer-account fees and creative/maintenance work are separate costs; confirm those with the vendor before budgeting.
Use the same requirement sheet for each candidate, Tapcart included:
| Requirement | Evidence to request |
|---|---|
| Actual mobile customer demand | Merchant analytics and repeat-customer behavior |
| Incremental contribution | Test window, control/comparison and contribution margin after channel costs |
| Necessary integrations | Demonstrated data flow, consent, suppression and required plan |
| Merchandising control | A representative screen/content update performed by the team |
| Publishing and updates | Account ownership, release responsibility and app-store process |
| Total ongoing work | Software quote, implementation, content and support ownership |
Email, reviews or loyalty may be relevant inputs, but they are not mandatory predecessor installs. Existing native, custom or backend tools may already cover the workflow.
What the 5,031-account filter means
The historical query returned 5,031 stores with a 200K+ estimated tier, no name from the finite tracked builder list, at least one stored contact, and at least two of four detected retention groups: email/SMS, reviews, loyalty and subscriptions. Each group uses a specified provider-name allowlist, not every tool serving that function.
The email/SMS group covers Klaviyo, Attentive, Omnisend and Postscript SMS. Reviews uses the study's Judge.me, Yotpo, Loox, Stamped, Okendo and Junip aliases; loyalty uses Smile.io Loyalty, LoyaltyLion, Growave and Yotpo Loyalty; subscriptions uses Recharge, Skio, Loop and Appstle.
This is a candidate research queue. A native app may already exist without these names, and the filter excludes every tracked builder name, not only Tapcart. Before offering a project:
- Inspect the website and official app-store links for an existing native app.
- Confirm actual repeat purchases, mobile share and the intended app use case with the merchant.
- Compare incremental contribution with the complete software and operating cost.
- Verify the relevant current person's role and email separately.
See Shopify app ICP targeting, lead-list quality, app combinations and app bloat for the surrounding research process.
FAQ
Which builder had the largest detected footprint?
Tapcart, with 653 of the October 26 panel's 655 mobile-builder-related records.
Earlier study:
Tapcart had 787 of the 788 matched records in the June study.
Does low detection mean a small store should never build an app?
No. A store-specific business case needs mobile demand, customer behavior, incremental contribution and operating costs.
Can StoreInspect identify stores that should buy an app?
It builds the candidate list from dated public signals. Qualification then confirms the merchant need, checks for an existing app and finds the relevant contact.
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