Gotta love when this happens when switching from VS Code to Xcode.
Has been useful for Twitter engineers recently I heard
Felix Krause
@KrauseFx
Currently building contextsdk.com - Security Researcher - Creator of fastlane.tools (previously )
@KrauseFx@mastodon.social
Biografie übersetzen
Tweets von Felix Krause
… but Facebook went one step ahead by encrypting the ID and tracking parameters together, nullifying this feature
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Did anyone catch any changes around the use of in-app browsers in iOS 17?
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Throwback to WWDC 2016 in Moscone West when made pins 🥰 Truly miss those days
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"Why don't more people use Signal"
Also Signal, losing my login every other month
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You're still showing spam messages in your app, even though we pay >$50/y for it. I do not want to find out what's new in 1password 2.11.0. That's why I follow you on Twitter. Please have an option to disable those red badges.
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Can’t believe phone cameras have come so far 😍 This is my iPhone 13 Pro. And yes I cleaned the lens.
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This has got to be the worst UI/UX on iOS
Big button, that turns into a tiny selection menu which is impossible to hit properly while busy on a call
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The graphs don't do the project justice, there is so much to unpack here, and I'll think of better ways to visualise it 📈
Many folks in the queue for onboarding, but will send out the next wave later this week. You can sign up here:
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6 larger apps now with enough Context SDK performance data, all of them looking very promising!
For each app, there are two buckets, showing the conversion rate:
→ Bucket "Bad": Context SDK predicted it's a bad time to show a prompt
→ Bucket "Good": Same, but for good moments
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You are still spamming me with red badges, please have an option to disable this. The updates are not that important for users to have to see red badges.
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Just published many additional insights, graphs and takeaways:
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Have you ever considered that your app may be used 28% of the time while the user is in their bed?
Most of us don't really think about in what kinds of situations our apps are running. However there are huge differences when it comes to conversion, and optimising your app:
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With Context SDK, every app can finally benefit from this approach.
Install it in "read-only" mode (risk-free), collect some outcomes using your existing analytics (no PII), and get your own custom model and performance metrics within a few weeks:
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Larger apps already leverage this kind of technology to optimise their apps:
- Audible shows a different UI with larger buttons when driving
- Uber is smart about when to actively ask you to upgrade to a Uber Black based on location, time and other signals
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Your users also behave differently when their phone is currently plugged in, or based on their battery level.
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Besides the activity, you should consider other signals as well:
- Users in low power mode convert 37% less
- Users with their phone in critical thermal state convert 27% less
- Users on a phone call convert 26% less
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The activity detection happens completely on-device within less than 2 seconds. Context SDK comes with pre-trained models trained on dozens of hours of activity data generated by people of various age groups and body types. Every person walks and sits differently.
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Grouped by each activity, you can see clear signals:
This particular app has more positive outcomes (sales) when the user is in their bed or sitting or standing.
While the phone lying on the table, the user walking or on a bike or car causing sales to go down.
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Distracted users behave differently: Users who have audio playing (music, audiobooks, podcasts) convert 18% less. Don't bother them with unnecessary prompts
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There are many obvious things to look out for, like the day of the week and time of the day.
Also, did you ever consider not showing any prompts when the internet connection is spotty?
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Context SDK is still a new technology, however the first results look extremely promising. This graph shows the lift it is able to achieve (going from red to green) for various apps
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Have you ever considered that your app may be used 28% of the time while the user is in their bed?
Most of us don't really think about in what kinds of situations our apps are running. However there are huge differences when it comes to conversion, and optimising your app:
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What’s your favorite example of an app using context (time of day, location, etc) to subtly improve UX?
Some examples
• Strava suggesting photos from a run
• Spotify car mode
• Health’s Medications prompting you after a time zone change
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Antwort an
• Audible renders larger button when you're driving
• Uber does many things around context, e.g. upselling UberBlack
• YouTube deciding between Shorts vs Videos when launching
Context matters, but until now only the large players had the resources to really make use of it
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Automatisiert
Did you miss Friday’s issue? I started with some words on ’s newest project and thinking about when best to show an upsell CTA.
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You can tell Apple did such an amazing job with Swift Package Manager, that since they announced it in 2015, usage of Cocoapods has plummeted bestgems.org/gems/cocoapods
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Setting the Spotify Podcasts playback speed. They really came up with the best options here, combined with the best UI 💯
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Felix did it again!
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I’ve spent the last months analyzing how to optimize iOS apps to maximize conversion of in-app purchases. Here are the most important things to look out for:
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The fact that the first 4 results when you search something on Google are ads is proof that Google is going to lose search dominance.
There's no way they can get away with this for much longer. I'll take ChatGPT with a few hallucinations any day over sponsored content.
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Interesting thread about phone usage and how it relates to IAP conversion.
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I’ve spent the last months analyzing how to optimize iOS apps to maximize conversion of in-app purchases. Here are the most important things to look out for:
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To conclude: Context matters. Nobody likes spammy apps and unnecessary prompts.
Be smart on when and how you interact with your users
DM me, or find more information on
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You can use Context SDK to
- Get a boolean value on if now is a good time for showing a prompt
- Get specific information on the user's current activity (which was trained on dozens of hours of activity data from people of different ages, heights and body types)
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Conclusion 4: The real fun begins once you combine multiple signals - you can see clear patterns in what makes in-app conversions successful.
Use that info to optimize when to ask the user to upgrade or enable a feature.
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Conclusion 3: There is a big difference in conversion rates depending on the iPhone model, but more importantly, which iOS version the user has installed. People who update their OS are more willing to spend money.
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