TOP 20 TRY-ON APP USER RETENTION STATISTICS 2025

I’ve always been fascinated by how small details in an app can make such a big difference in whether people keep using it. While digging into try-on app user retention statistics, I realized it’s a lot like shopping for socks—you might try a pair once, but you only keep wearing them if they’re comfortable, reliable, and make you feel good. The same goes for try-on apps: first impressions matter, but long-term loyalty depends on consistent value and a bit of delight along the way. Over time, I’ve noticed that the apps that keep people coming back are the ones that combine great tech with a reason to return every week. In this breakdown, we’ll go beyond numbers to see what’s really driving retention in this space.

 

Top 20 Try-on App User Retention Statistics 2025 (Editor’s Choice)

Top 20 Try-on App User Retention Statistics 2025 

 

Try-on App User Retention Statistics #1: Global Average Day 1 Retention Rate For Mobile Apps

The global average Day 1 retention rate for mobile apps sits around 25%, meaning only a quarter of users return the day after downloading. This metric reflects how well an app hooks users during the first experience. For try-on apps, this is the critical moment when users decide if the AR feature and shopping integration are worth coming back to. High onboarding quality and quick-to-try features can push this figure higher. Falling below this benchmark could indicate usability or engagement gaps.

 

 

Try-on App User Retention Statistics #2: Global Average Day 30 Retention Rate For Mobile Apps

By Day 30, the average mobile app retention drops to 5.7%, showing that most users disengage within the first month. For try-on apps, this period is crucial to provide fresh styles, seasonal products, and regular feature updates. Sustaining interest requires more than novelty—it demands ongoing value. Push notifications, loyalty programs, and personalized try-on suggestions can counteract the drop. Without these, user churn rates can escalate quickly.

 

Try-on App User Retention Statistics #3: Shopping Apps Day 1 Retention Rate

Shopping apps average a Day 1 retention rate of 24.5%, slightly below the global benchmark. This means try-on apps in the fashion or beauty sector have a narrow window to showcase value. Clear call-to-action prompts and a smooth AR experience can encourage immediate reuse. Many apps lose potential customers if the first try-on feels clunky or unrealistic. Optimizing performance here pays off in early adoption success.

 

Try-on App User Retention Statistics #4: Shopping Apps Day 7 Retention Rate

After a week, shopping apps average a 10.7% retention rate. For try-on apps, this is when initial curiosity turns into sustained shopping habits—or disappears. Encouraging users to return by showcasing new arrivals or exclusive deals can help keep engagement alive. AR filters that evolve with trends can also extend interest. Without these strategies, many users may uninstall after a single browsing session.

 

Try-on App User Retention Statistics #5: Shopping Apps Day 30 Retention Rate

At Day 30, shopping apps hold onto about 5.6% of users, underscoring the challenge of long-term engagement. For try-on apps, this is the stage where brand loyalty can be cultivated. Offering personalized recommendations and wish-list reminders can help. Integrating social sharing features can also encourage users to return. Without active re-engagement, the app risks falling into the “downloaded but forgotten” category.

 

 

Try-on App User Retention Statistics #6: Marketplace Apps Day 1 Retention Rate

Marketplace apps enjoy a higher Day 1 retention rate of 33.7%. This suggests that apps with diverse product offerings and seamless search functions capture more attention. For try-on apps with marketplace integration, the variety of items can drive return visits. Presenting trending items front and center can boost curiosity. The key is making the first shopping journey smooth and rewarding.

 

Try-on App User Retention Statistics #7: Marketplace Apps Day 7 Retention Rate

After seven days, marketplace apps average a retention rate of 16.1%. For try-on platforms, the advantage here comes from continuously adding fresh, in-demand products. The more often the catalog updates, the higher the reason to revisit. Highlighting seasonal items through push alerts can keep the audience engaged. If users see the same products repeatedly, retention will naturally dip.

 

Try-on App User Retention Statistics #8: Marketplace Apps Day 30 Retention Rate

By Day 30, marketplace apps still retain around 8.7% of users, which is higher than most categories. Try-on apps can learn from this by offering variety and multi-brand experiences. Partnerships with multiple retailers can keep content fresh. This long-term stickiness often comes from perceived value in browsing and discovering new items. Without it, even the most advanced AR try-on feature loses appeal.

 

Try-on App User Retention Statistics #9: Fintech Apps Day 1 Retention Rate

Fintech apps post a Day 1 retention rate of 30.3%, thanks to clear utility and immediate relevance. For try-on apps, the takeaway is that delivering a functional “must-have” experience from day one works. The first impression should clearly answer the user’s “why should I use this?” question. If the AR try-on feels gimmicky, retention will drop. Making the feature solve a real problem increases staying power.

 

Try-on App User Retention Statistics #10: Fintech Apps Day 30 Retention Rate

At Day 30, fintech apps average an 11.6% retention rate, a strong result compared to most industries. For try-on apps, this shows that ongoing perceived value is critical. Regularly refreshing the content library with new looks can parallel the “essential utility” effect. User trust in product accuracy also plays a big role here. Apps that can replicate this level of reliability see better long-term loyalty.

 

Try-on App User Retention Statistics #11: News Apps Day 1 Retention Rate

News apps average a Day 1 retention of 33.1%, driven by habitual checking. For try-on apps, creating habit loops is essential. Daily “style inspiration” or “look of the day” content can mimic the same effect. If users have a reason to open the app daily, retention will rise. Without habitual triggers, engagement stays sporadic.

 

Try-on App User Retention Statistics #12: News Apps Day 30 Retention Rate

News apps hold around 13.3% retention by Day 30, one of the best rates among app categories. This shows the power of consistent, fresh content. For try-on apps, updating product visuals frequently can yield similar results. Seasonal changes, trend updates, and personalized feeds work well. Without variety, the AR feature becomes static and forgettable.

 

Try-on App User Retention Statistics #13: Social Apps Day 1 Retention Rate

Social apps maintain a 26.3% Day 1 retention rate. For try-on apps, adding community or sharing features can replicate this effect. Letting users share their try-on looks to social feeds boosts visibility and return visits. Peer validation encourages repeat engagement. Without social integration, the retention curve can flatten quickly.

 

 

Try-on App User Retention Statistics #14: Social Apps Day 30 Retention Rate

By Day 30, social apps retain about 3.9% of users, showing the difficulty of sustaining engagement without constant novelty. For try-on apps, evolving styles, seasonal launches, and user-generated content can help. Hosting virtual fashion challenges could keep people involved. Encouraging collaboration, like style swaps, may also improve loyalty. If the community feels inactive, users drift away.

 

Try-on App User Retention Statistics #15: Casual Gaming Apps Day 1 Retention Rate

Casual gaming apps see around 32.3% Day 1 retention, driven by instant fun. Try-on apps can take cues from this by making AR experiences playful and rewarding. Gamifying outfit trials or offering virtual badges for frequent use can work. Quick gratification keeps people returning. Without this element, the novelty may wear off too quickly.

 

Try-on App User Retention Statistics #16: Casual Gaming Apps Day 30 Retention Rate

At Day 30, casual games drop to 4.5% retention, highlighting the challenge of keeping players entertained. Try-on apps risk similar drop-offs if they rely solely on novelty. Periodic challenges, limited-edition try-ons, and reward systems can extend interest. Encouraging friends to join can also help sustain engagement. Static experiences lose momentum quickly.

 

Try-on App User Retention Statistics #17: Retention Boost From Proactive App Engagement Strategies (D30)

Proactive engagement strategies can boost Day 30 retention by up to 67%. For try-on apps, this means sending timely, relevant prompts like “New style drops” or “Your saved item is on sale.” Personalization is key—generic messages won’t work. The goal is to make every notification feel valuable. Done right, it can double or triple long-term retention.

 

Try-on App User Retention Statistics #18: Average User Drop-Off Within First 3 Days

Most apps lose around 77% of daily active users within the first three days. For try-on apps, this is a critical hazard zone. The solution is to offer engaging experiences and rewards early. Encouraging users to try multiple looks and save favorites within this period can help. Without strong hooks, most will uninstall before day four.

 

 

Try-on App User Retention Statistics #19: Day 7 Retention – iOS vs Android

On Day 7, iOS apps average 6.89% retention, while Android apps average 5.15%. For try-on apps, this difference could reflect platform-specific optimizations. iOS users may respond better to smoother AR performance, while Android requires broader device testing. Tailoring the experience to each platform can close the gap. Overlooking platform-specific needs risks losing one audience segment faster.

 

Try-on App User Retention Statistics  #20: Day 30 Retention – iOS vs Android

By Day 30, iOS apps retain about 3.10% of users, while Android retains 2.82%. This low figure underscores how difficult long-term retention is across all platforms. Try-on apps need to focus on both stability and novelty to maintain relevance. Exclusive features for returning users can help on both systems. Without innovation, retention rates stay at the bottom tier.

 

Conclusion — Why These Stats Matter for Your Try-On App’s Future

Looking at these try-on app user retention statistics, one thing is clear: keeping users around isn’t just about dazzling them on day one—it’s about giving them reasons to stay. Just like you wouldn’t keep wearing socks that lose their shape after a wash, users won’t stick with an app that doesn’t keep evolving and offering value. The difference between an app that fades into the background and one that becomes part of someone’s daily routine often comes down to consistent engagement, fresh content, and a personal touch. These numbers are more than benchmarks—they’re guideposts for building something people truly want to keep using. If you can turn curiosity into habit, you’re already ahead of most in the industry.

SOURCES

https://sendbird.com/blog/app-retention-benchmarks-broken-down-by-industry

https://uxcam.com/blog/mobile-app-retention-benchmarks/

https://www.adjust.com/blog/what-makes-a-good-retention-rate/

https://www.businessofapps.com/data/app-retention-rates/

https://wappier.com/the-big-list-of-mobile-app-retention-rate-statistics/

https://www.businessofapps.com/guide/mobile-app-retention/

https://www.mobiloud.com/blog/how-to-improve-mobile-app-retention