![Fastest Growing Shopify Apps [41,668-Store Study]](/images/blog/fastest-growing-shopify-apps.webp)
Fastest Growing Shopify Apps [41,668-Store Study]
We analyzed a 41,668-store matched panel to find the fastest growing Shopify apps. Judge.me and PageFly lead, while Mailchimp and Privy stall.
Shopify apps losing share: our 14,732-store matched-panel study shows Mailchimp, Rebuy, Stamped, and Smile.io slipping while categories still grow.

TL;DR:
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Search for "Shopify apps losing share" or "most uninstalled Shopify apps" and you mostly find one of three things:
That material is useful, but it does not answer the harder question:
Which established Shopify apps are actually losing detectable live-store share over time, and which ones only look weak because one data slice got noisy?
That is the gap this study tries to close.
We already published the upside view in Fastest Growing Shopify Apps. This post is the other half of the picture. Instead of hunting for breakouts, we looked for decline that holds up inside a stricter matched panel.
The result is more useful than a generic "top uninstalls" list:
If you are a Shopify app founder, agency, investor, or operator, that distinction matters more than a generic uninstall anecdote.
There are three common ways app-decline content goes wrong.
A vendor can have a large historical install base and still be losing momentum on live storefronts. That is why Shopify App Market Share and this post answer different questions.
Market share tells you who is large.
Matched-panel decline tells you who is slipping.
Public storefront detection is useful, but it is not magic. Apps change scripts. Stores get rescanned unevenly. Coverage improves over time. If you compare unmatched snapshots, you can mistake rescanning drift for product weakness.
That is why this post uses rescanned matched panels only.
The broader Shopify app conversation is increasingly about stack simplification. Jeremy Horowitz made that point directly in his June 5, 2025 Shopify 1 Percent episode about the app stacks behind 8-figure brands, where one key takeaway was that larger tech stacks are getting simpler and more selective over time: The Untold Truth About Shopify Plus and the App Stacks Behind 8-Figure Shopify Brands.
That trend is real, but it still does not tell you which vendors are losing ground.
Our data shows that some categories are still growing fast while specific apps inside them decline. That is a very different story from "the category is dead."
We detect Shopify apps from public storefront signals like script URLs, JavaScript globals, widgets, and DOM patterns. It is the same detection system behind how to see what apps a Shopify store is using, how to find Shopify stores by app, Shopify tech stack, best Shopify app combinations, and Shopify tech stack by growth stage.
For this post, we did not compare arbitrary snapshots across the whole dataset. We used rescanned stores only.
| Metric | Value |
|---|---|
| Total snapshots in the database | 617,073 |
| Stores with at least one snapshot | 520,797 |
| Stores with 2+ snapshots | 81,808 |
| Stores with 30+ day span between first and latest snapshot | 42,377 |
| Stores with 60+ day span between first and latest snapshot | 14,732 |
| Average span in the 30-day panel | 54.9 days |
| Average span in the 60-day panel | 72.1 days |
60-day validation panel traffic mix
| Traffic tier | Stores |
|---|---|
| Under 50K | 3,018 |
| 50K-200K | 10,106 |
| 200K-1M | 1,595 |
| 1M+ | 13 |
Method rules
What we can detect: apps with visible storefront footprints, like Mailchimp, Klaviyo, Rebuy, Judge.me, Gorgias Chat, Smile.io Loyalty, and Swym Wishlist.
What we cannot detect: backend-only apps, admin-only tools, and clean-output apps with no identifiable storefront signature. Read this as a storefront-detectable live-share study, not a complete App Store install census.
These are the biggest decliners in the 14,732-store 60-day validation panel, with a 30-day direction check in the last column.
| App | Category | First panel count | Latest panel count | Net lost | Growth | 30-day check |
|---|---|---|---|---|---|---|
| Mailchimp | Email marketing | 2,294 | 2,214 | -80 | -3.5% | No qualifying negative row |
| Rebuy | Upsell | 766 | 711 | -55 | -7.2% | -46 (-3.3%) |
| Stamped.io Reviews | Reviews | 653 | 600 | -53 | -8.1% | -62 (-4.1%) |
| Smile.io Loyalty | Loyalty | 1,132 | 1,089 | -43 | -3.8% | -9 (-0.3%) |
| Swym Wishlist | Wishlists | 882 | 843 | -39 | -4.4% | -43 (-2.5%) |
| Gorgias Chat | Customer support | 1,232 | 1,194 | -38 | -3.1% | -31 (-1.4%) |
| Loox Reviews | Reviews | 857 | 827 | -30 | -3.5% | -36 (-1.7%) |
| Postscript SMS | Email marketing | 429 | 400 | -29 | -6.8% | -27 (-3.0%) |
| Privy | Popups | 575 | 546 | -29 | -5.0% | -10 (-0.5%) |
| Back in Stock | Notifications | 752 | 724 | -28 | -3.7% | -26 (-1.7%) |
| Tapcart | Mobile commerce | 136 | 109 | -27 | -19.9% | -31 (-14.2%) |
| Zendesk Chat | Customer support | 270 | 249 | -21 | -7.8% | -19 (-3.5%) |
Three things jump out.
First, Mailchimp has the biggest absolute loss in the validation panel, but it did not show a qualifying negative row in the 30-day cut. That suggests slower erosion that becomes clearer over a longer window, not a sharp one-month collapse.
Second, names like Rebuy, Stamped, Swym, Gorgias, Loox, and Postscript were down in both cuts. That is a stronger pressure signal than a single negative row.
Third, the apps losing share are spread across multiple categories. This is not one broken vertical. It is a broader pattern of consolidation and selective replacement.
The cleanest high-level result in the study is not a single app. It is the scorecard.
Among apps with 500+ first-panel installs in the 60-day panel:
That is a much stronger statement than "some apps had recent uninstalls."
It means real decline does show up in the matched-panel data, and when it does, it is concentrated among names with enough installed base to matter.
That also changes how you should read Fastest Growing Shopify Apps. The growth post is not just a list of winners. It is the other side of the same market. If five established apps are gaining while eleven established apps are shrinking, the ecosystem is reallocating share rather than rising uniformly.
For investors and acquirers, that is the more useful signal. For founders, it tells you where the replacement motion may be more real than the greenfield motion. For agencies, it suggests which app ecosystems may create migration work, audits, and platform-switch messaging.
Email marketing is the clearest consolidation story in this dataset.
The category still added 502 net detectable installs in the 60-day panel, but the pressure inside the category is uneven:
| Email app | 60-day net change | Growth |
|---|---|---|
| Klaviyo | +89 | +1.3% |
| Mailchimp | -80 | -3.5% |
| Postscript SMS | -29 | -6.8% |
Email marketing also had the highest count of declining apps in the study, with 4 negative movers and 115 combined lost installs across the pressured names.
That does not mean merchants are abandoning lifecycle marketing. It means they are getting more selective about which vendors stay in the stack.
This lines up with a lot of what app founders already feel in the market:
If you want the broad category benchmark, read best Shopify email marketing apps. If you want the GTM implication, pair this with How to Market a Shopify App, Shopify App Outreach: First 100 Stores, and Stores Ready to Switch Shopify Apps.
For a vendor-side comparison, Omnisend still matters in the category, but this matched panel says the center of gravity is still around Klaviyo, not around a broad set of co-equal leaders.
Reviews are the best example of why "losing share" and "category decline" are not the same thing.
In the same 60-day panel:
That is not a weak category. That is a category with very clear winners and losers.
| Reviews app | 60-day net change | Growth |
|---|---|---|
| Judge.me Reviews | +1,357 | +58.7% |
| Yotpo Reviews | +133 | +11.5% |
| Stamped.io Reviews | -53 | -8.1% |
| Loox Reviews | -30 | -3.5% |
| Reviews.io | -20 | -8.9% |
That is the sharper read on the category than a generic best Shopify review apps list or even a flat Shopify App Market Share snapshot.
The category is still relevant.
The share is just moving.
If you sell into reviews, that means the real opportunity is not "build another review app because the market is large." It is to understand why merchants seem to keep concentrating around a smaller set of winners.
For a second look at the vendor positioning itself, compare Yotpo Reviews, Stamped.io, and Loox against the live-share movement above.
The next tier of decline is less dramatic than email or reviews, but still commercially important.
Customer support was one of the biggest growing categories overall, adding 2,122 net installs in the 60-day panel. But inside the category:
That tells you support demand still exists, but merchants are not spreading that demand evenly across all vendors.
Loyalty also split cleanly:
That looks less like category weakness and more like vendor concentration.
Wishlists are even more interesting because the category itself was one of the only net decliners in the 60-day table:
That is a small but useful signal. Some categories may actually be shrinking at the edges because merchants are using built-in theme features, simplifying stacks, or deciding the category is optional.
That is exactly the kind of nuance you miss if you only read top-app leaderboards.
This is the most important takeaway in the whole post.
Most categories in the validation panel still grew:
| Category | Net change | Growth |
|---|---|---|
| Reviews | +2,239 | +42.1% |
| Customer support | +2,122 | +103.0% |
| Upsell | +2,044 | +257.1% |
| Analytics | +1,751 | +254.5% |
| Notifications | +1,260 | +167.6% |
| Popups | +1,202 | +159.8% |
| Loyalty | +953 | +49.9% |
| Email marketing | +502 | +5.5% |
Only two categories in this filtered table were net down:
That means the phrase "apps losing share" should usually be read as:
specific vendors are slipping inside still-viable categories
not:
merchants have stopped caring about the category
That is a better framing for product strategy, prospecting, and content strategy.
If you are a founder, you should not kill a category thesis just because one incumbent is fading.
If you are an agency, you should not assume a down app means the whole service opportunity is gone.
If you are an operator, you should not assume the current market leader is automatically the only safe choice.
There are three practical uses for a study like this.
If an established app is down in both the 60-day validation panel and the 30-day check, that is a stronger replacement signal than raw competitor usage.
That is especially true when the broader category is still growing.
For list building, combine this post with Stores Ready to Switch Shopify Apps, Shopify Buying Signals, and How to Find Shopify Stores by App.
Reviews and customer support both demonstrate the same pattern:
That is the right way to read pressure in mature SaaS markets.
If you are building against a declining incumbent, your best angle is not a generic "we are better."
It is a clearer answer to the likely reason merchants are moving:
You can explore that directly in the StoreInspect dashboard by filtering stores with specific app installs, traffic bands, and adjacent-stack signals. That is much more useful than just searching the App Store and guessing.
In our 14,732-store 60-day matched panel, the biggest absolute decliners were Mailchimp, Rebuy, Stamped.io Reviews, Smile.io Loyalty, Swym Wishlist, and Gorgias Chat. The sharpest relative decliners were Reviews.io, Stamped.io Reviews, Zendesk Chat, Rebuy, and Postscript SMS.
No. It means the app lost detectable live-store adoption inside this matched validation panel. That is a useful signal, but it is not the same thing as revenue loss, company decline, or product failure.
Email marketing had the most declining apps in the 60-day panel, followed by reviews and customer support. Those were the three clearest consolidation categories in this study.
Usually no. Most categories in the validation panel still grew. Reviews, support, upsell, analytics, popups, and loyalty all added net installs. The category may still be healthy even when specific incumbents lose share.
In the filtered 60-day category table, wishlists and identity verification were the only net-declining categories. Wishlists were down by 29 installs and identity verification was down by 3.
In this matched-panel study, yes. Mailchimp had the biggest absolute decline among the apps we tracked in the 60-day validation panel, down 80 detectable installs. It did not show a qualifying negative row in the broader 30-day cut, which suggests slower erosion rather than a sharp one-month drop.
Yes. Klaviyo gained 89 detectable installs in the 60-day validation panel, even while other email tools declined. That supports the idea that Shopify email marketing is consolidating around a smaller number of winners rather than disappearing.
No. The review category added 2,239 net installs in the 60-day validation panel. The category is still growing, but the gains are concentrated around winners like Judge.me and Yotpo Reviews while other incumbents lost share.
Use it to find replacement pressure, sharpen messaging, and separate healthy categories from weakening vendors. It is most useful when paired with stack maturity, traffic filters, and contactability data.
Agencies can use app-decline signals to build migration lists, audit opportunities, and retention or replatforming offers. The best opportunities come from stores where the incumbent is fading but the category is still strategically important.
| Key finding | What it means |
|---|---|
| 11 of 16 established apps declined | Real pressure is visible in the validation panel, not just on social media or in founder anecdotes |
| Mailchimp had the biggest absolute loss | Email is still large, but older incumbents can lose ground over longer windows |
| Reviews had both the strongest winners and several losers | Category growth does not protect every vendor |
| Customer support added 2,122 installs while three incumbents declined | Category-level demand can coexist with vendor-level erosion |
| Wishlists were one of the only net-down categories | Some smaller categories may genuinely be simplifying or consolidating |
| Klaviyo, Judge.me, and Yotpo still grew inside pressured categories | The ecosystem is reallocating share, not collapsing evenly |
| 30-day checks confirmed many of the same names | The strongest decline signals are persistent, not one noisy panel |
If you want the upside view, read Fastest Growing Shopify Apps. If you want the flat share view, read Shopify App Market Share. If you want to turn these signals into outreach, start with Shopify App Outreach: First 100 Stores and Stores Ready to Switch Shopify Apps.
Search by niche, traffic, and tech stack. Export with verified founder contacts.Search stores by niche, traffic, and tech stack. Export with verified founder contacts so you can skip the research.
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