TOP 20 OUTFIT FORECAST PUSH NOTIFICATION CTR STATISTICS 2025

When I first started digging into outfit forecast push notifications, I didn’t expect the numbers to be this fascinating. Looking at these outfit forecast push notification CTR statistics feels a bit like sorting through my closet—some things catch my eye instantly, while others get overlooked. And just like choosing the right pair of socks to finish an outfit, the smallest details in a push notification can completely change how people respond. I wanted to explore these stats not just as cold data points, but as signals of how real people interact with style nudges in their daily lives. This list isn’t about charts and averages—it’s about understanding how fashion and human behavior intersect in little clicks that matter.

Top 20 Outfit Forecast Push Notification CTR Statistics 2025 (Editor’s Choice)

 

 

Top 20 Outfit Forecast Push Notification CTR Statistics 2025

Outfit Forecast Push Notification CTR Statistics#1: Overall Average CTR (2.25%)

The global average CTR for push notifications is around 2.25%. For outfit forecast messages, this means any CTR above this is considered effective. Brands that personalize messages with weather-based or seasonal fashion alerts can outperform this baseline. While it may look small, in large subscriber lists the impact is significant. Using this figure as a benchmark helps fashion marketers measure true performance.

 

 

Outfit Forecast Push Notification CTR Statistics#2: Android Average CTR (4.6%)

Android push notifications record a stronger CTR of 4.6%. This makes Android users particularly valuable for outfit forecast alerts. Segmenting Android subscribers with bold visuals can boost performance even more. Many Android users respond well to deals tied to outfit suggestions. Overall, Android remains a strong channel for fashion notifications.

Outfit Forecast Push Notification CTR Statistics#3: iOS Average CTR (3.4%)

iOS push notifications average around 3.4% CTR. Although lower than Android, this is still a solid engagement rate. iOS users often expect polished designs, so outfit visuals and concise copy work best. Fashion retailers should test A/B formats to see what resonates most with Apple audiences. Keeping outfit suggestions sleek and relevant is key to driving results here.

Outfit Forecast Push Notification CTR Statistics#4: Retail E-Commerce Campaigns (Android 3.78%)

Retail push notifications for Android average a 3.78% CTR. For outfit forecasts, this suggests segmenting users by style preferences helps increase clicks. Fashion brands can maximize this by offering seasonal outfit bundles. Adding personalized timing, such as morning outfit alerts, drives better engagement. Android retail audiences remain highly responsive to practical fashion notifications.

Outfit Forecast Push Notification CTR Statistics#5: Retail E-Commerce Campaigns (iOS 3.05%)

On iOS, retail e-commerce pushes see a 3.05% CTR. For fashion outfits, this is slightly below Android but still impactful. Apple users may need more refined copy and minimalistic visuals to engage. Exclusive style previews or early access notifications can raise CTR. This stat highlights the importance of platform-specific creative strategies.

 

 

Outfit Forecast Push Notification CTR Statistics#6: Retail Coupon Push (10%)

Retail coupon notifications can reach CTRs as high as 10%. In fashion, pairing outfit forecasts with discounts creates a strong incentive to click. For example, a seasonal outfit recommendation with a discount code is highly effective. These notifications perform far above industry averages when well-timed. Fashion brands should combine coupons with outfit suggestions for maximum impact.

Outfit Forecast Push Notification CTR Statistics#7: Web Push Average CTR (0.84%)

Web push notifications average just 0.84% CTR, much lower than mobile. For outfit forecasts, this suggests mobile-first strategies should be prioritized. However, web push can still be useful for desktop fashion shoppers. Including strong visuals of seasonal outfits may help raise engagement. Brands should see web push as a supplement rather than a core channel.

Outfit Forecast Push Notification CTR Statistics#8: Automated Push (8.21%)

Automated push notifications reach an average CTR of 8.21%. This is much higher than the global baseline. Outfit forecasts sent automatically by weather or calendar triggers can achieve similar success. Automation ensures the right outfit message reaches at the right time. This makes automated fashion pushes a powerful engagement driver.

Outfit Forecast Push Notification CTR Statistics#9: Abandoned Cart Notifications (5.09%)

Abandoned cart notifications average a CTR of 5.09%. For outfit forecasts, this means reminding shoppers of saved looks works well. Linking the forecast with their cart items boosts clicks. A message like “Don’t forget your weekend outfit” can push users back to checkout. This stat confirms abandoned cart messages are highly effective in fashion retail.

Outfit Forecast Push Notification CTR Statistics#10: Back-in-Stock Alerts (4.09%)

Back-in-stock notifications drive an average CTR of 4.09%. For fashion brands, linking this to outfit forecasts increases urgency. Shoppers appreciate being notified when a trending item is available again. Combining this with styling suggestions makes it even more powerful. Back-in-stock outfit pushes are excellent for converting undecided buyers.

Outfit Forecast Push Notification CTR Statistics#11: Recently-Viewed Reminders (8.47%)

Recently viewed reminders average an impressive CTR of 8.47%. For outfit forecasts, this means highlighting items a shopper already browsed. These notifications perform well because they feel personally tailored. Including styling recommendations alongside the reminder boosts value. This makes recently viewed outfit pushes a high-impact strategy.

Outfit Forecast Push Notification CTR Statistics#12: Personalized & Contextualized Push (Up to 20%)

Personalized and contextualized pushes can achieve CTRs up to 20%. Outfit forecasts tied to location, weather, or events fall into this category. For instance, suggesting a raincoat on a rainy day drives high engagement. These pushes outperform generic ones by a large margin. Personalization is the strongest lever for fashion push success.

 

 

Outfit Forecast Push Notification CTR Statistics#13: Rich Media Pushes (Up to 42.5%)

Rich media pushes with images or icons can achieve CTRs of up to 42.5%. For outfit forecasts, using bold visuals of clothing sets makes a huge difference. Shoppers are more likely to engage when they can see the suggested outfit. Large, high-quality visuals can drive clicks far above average. This proves the importance of visual content in fashion notifications.

Outfit Forecast Push Notification CTR Statistics#14: Rich vs Text Notifications (+33% Engagement)

Notifications with visuals see 33% more engagement than text-only messages. For outfit forecasts, this highlights the value of showing instead of telling. A picture of a styled outfit captures attention faster than text. Fashion audiences rely heavily on visuals in their buying journey. Therefore, rich content pushes are essential for success.

Outfit Forecast Push Notification CTR Statistics#15: Personalized Pushes (+59% Engagement)

Personalized pushes increase engagement by up to 59%. For outfit forecasts, this means tailoring outfits to user preferences pays off. Showing clothing based on browsing history is highly effective. Shoppers are more likely to click when the suggestion feels unique. Personalization is the foundation of impactful fashion push campaigns.

Outfit Forecast Push Notification CTR Statistics#16: Transactional & Hyper-Personalized Pushes (Up to 30%+)

Transactional or hyper-personalized pushes can drive CTRs above 30%. Outfit forecasts tied to recent purchases or shipping updates are strong examples. For instance, suggesting items to complement a just-purchased outfit gets attention. These messages feel relevant and timely, boosting engagement. This proves hyper-personalization is a high-performing strategy for fashion.

Outfit Forecast Push Notification CTR Statistics#17: Average Reaction Rate (7.8%)

The average push notification reaction rate is 7.8%. This measures all interactions including clicks, swipes, and taps. For outfit forecasts, this means users often engage even beyond clicks. Highlighting styled outfits encourages exploratory behavior. Reaction rates indicate outfit pushes drive more overall engagement than raw CTR shows.

Outfit Forecast Push Notification CTR Statistics#18: Reaction Rate on Android (10.7%)

Android devices show an average push reaction rate of 10.7%. This makes Android a strong platform for outfit notifications. Shoppers are more likely to swipe, tap, or click on fashion pushes. Leveraging bold visuals increases interaction on Android even further. Outfit-based pushes perform very well on this device ecosystem.

Outfit Forecast Push Notification CTR Statistics#19: Reaction Rate on iOS (4.9%)

On iOS, reaction rates average 4.9%. This is lower than Android, but still valuable for fashion campaigns. Apple users respond more selectively to push notifications. Ensuring notifications feel premium helps boost response rates. Outfit forecasts with elegant visuals and minimalism suit iOS audiences best.

Outfit Forecast Push Notification CTR Statistics#20: High-Performing Retail Push With Images (15–25%)

High-performing retail pushes with strong images can reach 15–25% CTR. Outfit forecasts enhanced with photos belong in this category. Showing entire styled looks rather than single items drives interest. These pushes significantly outperform text-based alerts. Fashion brands using rich visuals in push notifications can achieve remarkable engagement.

 

 

Wrapping Up The Outfit Forecast Push Notification CTR Statistics

After walking through all 20 stats, I feel like I just pieced together a style forecast of human behavior. It’s clear that the magic happens when personalization, visuals, and timing line up—kind of like when the right outfit makes you feel unstoppable. What surprised me most is how quickly engagement jumps when messages are tailored, whether it’s a bold image or a reminder of what someone already browsed. For me, these numbers aren’t just benchmarks, they’re reminders that fashion communication is as much about emotion as it is about data. And honestly, if picking the right push notification feels anything like picking the right socks in the morning, I’d say we’re all in for some fun experiments.

SOURCES

https://clevertap.com/blog/push-notification-metrics-ctr-open-rate/ 

https://www.businessofapps.com/marketplace/push-notifications/research/push-notifications-statistics/

https://www.pushwoosh.com/blog/push-notifications-e-commerce/ 

https://pushpushgo.com/en/blog/31-stats-about-web-push

https://andrewchen.com/new-data-on-push-notification-ctrs-shows-the-best-apps-perform-4x-better-than-the-worst-heres-why-guest-post/ 

https://wisernotify.com/blog/push-notification-stats/

https://contextsdk.com/blogposts/ctr-and-unsub-rates-by-industry-key-push-insights

https://www.mobiloud.com/blog/push-notification-statistics

https://www.mobiloud.com/blog/best-time-to-send-push-notifications 

https://www.pushwoosh.com/blog/push-notification-best-practices/ 

https://cdn2.hubspot.net/hubfs/378611/PN_Best_Practices.pdf 

https://www.pugpig.com/wp-content/uploads/sites/3/2025/01/The-Art-of-the-Nudge-Perfecting-Push-in-2025-Pugpig-Reports.pdf?utm_campaign=push_report_2025&utm_medium=email&utm_source=media_bulletin