Push Notifications and In-App Messaging
Craft push and in-app messages that re-engage users without causing opt-outs.
Push Notifications and In-App Messaging is a free Digital Marketing Academy lesson on CoddyKit — lesson 3 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Digital Marketing Academy learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
Opt-In Rates and Permission Best Practices
iOS requires explicit user permission before any push notifications can be sent, while Android 13 and later also require opt-in. Average opt-in rates for iOS apps range from 40 to 60 percent across categories, with utility apps achieving higher rates than entertainment apps.
Request notification permission at a moment of demonstrated value within the app rather than at first launch. A pre-permission prompt explaining the specific benefit of notifications before the native dialog appears can lift opt-in rates by 30 to 50 percent compared to immediate permission requests.
Types of Push Notifications
Transactional push notifications are triggered by specific user actions or events: order confirmations, delivery updates, payment receipts, or booking confirmations. Users have high tolerance for transactional notifications because they provide clear, immediate value related to something the user actively initiated.
Behavioral push notifications respond to in-app activity patterns: re-engagement nudges for inactive users, milestone celebration messages, or reminders to complete an interrupted task. Promotional push notifications broadcast offers to segments of users and require the most careful targeting to avoid being dismissed as spam.
Personalization to Improve Push CTR
Generic push notifications addressed to all users perform significantly worse than personalized messages that reference the user's specific behavior, preferences, or status within the app. Using the user's first name, referencing items they viewed, or acknowledging their progress level makes notifications feel relevant rather than broadcast.
Dynamic content insertion, where notification copy is populated with real-time data from user profiles (such as the number of days since their last activity or a product they left in their wishlist), requires integration between your push platform and your user data, but delivers substantial CTR improvements.
Timing and Frequency Recommendations
Push notification timing should reflect the user's local time zone and the natural usage patterns of your specific app. Fitness apps see high engagement in the morning. Shopping apps perform best in evening hours. News apps achieve highest CTR during commute times.
Frequency capping is essential. Most users tolerate two to four push notifications per week before perceiving them as intrusive. High-frequency senders experience accelerating opt-out rates. Start conservatively and increase frequency only when engagement data supports it.
Avoiding Notification Fatigue
Notification fatigue occurs when users receive so many notifications that they stop engaging with or begin disabling them entirely. Symptoms include declining CTR over time, rising opt-out rates, and increasing app open rate divergence from notification delivery rate.
Combat fatigue by auditing your notification types quarterly and eliminating any that consistently underperform. Give users granular in-app notification preference controls so they can disable categories they find irrelevant without opting out of everything. Selective control increases overall retention of notification permissions.
A/B Testing Push Notifications
A/B testing push notifications requires sending two message variants to randomly split segments of your audience simultaneously and measuring which variant achieves the higher CTR or downstream conversion rate. Most push notification platforms support native A/B testing with automated winner selection.
Test one variable at a time: notification copy, emoji usage, personalization level, delivery time, or CTA phrasing. Accumulate at least 500 to 1,000 sends per variant for statistically reliable results before declaring a winner and applying the insight to future campaigns.
In-App Messages vs Push Notifications
Push notifications reach users outside the app and are ideal for re-engagement and time-sensitive information. In-app messages appear while the user is actively using the app and are better suited for onboarding guidance, feature announcements, and contextual prompts that require the user to already be in an active session.
In-app messages do not require notification permission and are therefore available to your entire user base, making them a more reliable channel for product education and conversion optimization than push notifications, which only reach opted-in users.
In-App Onboarding Message Flows
Onboarding message flows guide new users from first launch to the key activation moment that correlates with long-term retention. An effective onboarding flow surfaces one piece of guidance at a time, triggered by specific user actions or inactions rather than time-based delays.
Use in-app tooltips to highlight important features when a user first encounters the relevant screen. Use modal messages to celebrate milestone completions. Use persistent banners for non-disruptive informational guidance that the user can dismiss at their own pace.
Segmenting Users for Targeted Messaging
Sending all notifications to all users is the fastest way to degrade engagement metrics and drive opt-outs. Segmentation allows you to send messages that are only relevant to subgroups: new users who have not yet completed setup, power users who are candidates for premium upgrades, or churned users who have not opened the app in 30 days.
Behavioral segments based on in-app event data outperform demographic segments for push notification personalization. Connect your analytics platform to your push notification tool to enable event-triggered segmentation based on real usage patterns.
Measuring Push Notification Effectiveness
Primary push notification metrics include delivery rate (what percentage of sends were successfully received), open rate or CTR (what percentage of recipients opened the notification), and re-engagement rate (what percentage returned to an active session as a result).
Track downstream conversion metrics too: did users who opened a promotional push notification actually complete a purchase? Did re-engagement push notifications lead to sustained return usage or just a single session? Connecting push data to long-term retention metrics reveals whether your notification strategy is genuinely improving user health.
Push Notification Platform Options
Dedicated push notification platforms like OneSignal, Braze, and Airship offer segmentation, automation, A/B testing, and detailed analytics beyond the basic capabilities of most app development frameworks. Choosing the right platform depends on your app's scale, technical stack, and the sophistication of personalization you need.
OneSignal is popular for early-stage apps due to its generous free tier and straightforward SDK integration. Braze and Airship are enterprise platforms offering cross-channel messaging coordination between push, in-app, email, and SMS within a single workflow builder.
Push Notification Strategy
Making informed decisions about push notification type, timing, and targeting requires understanding the fundamental principles that separate effective notifications from those that drive opt-outs.
Lesson Recap: Push Notifications and In-App Messaging
Push notifications and in-app messages serve complementary roles in mobile engagement: push re-engages users outside the app while in-app messages guide active users within it. Optimize opt-in rates with pre-permission prompts, personalize notifications with behavioral data, and cap frequency to avoid fatigue-driven opt-outs.
A/B test notification variables systematically, segment audiences by behavior rather than demographics, and always measure downstream conversion and retention impact to evaluate whether your messaging strategy is genuinely improving user health and business outcomes.
Frequently asked questions
Is the “Push Notifications and In-App Messaging” lesson free?
Yes — the full text of “Push Notifications and In-App Messaging” is free to read here on the web, and the Digital Marketing Academy course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Digital Marketing Academy course, upgrade to CoddyKit PRO.
What will I learn in “Push Notifications and In-App Messaging”?
Craft push and in-app messages that re-engage users without causing opt-outs. You practise Digital Marketing Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start Digital Marketing Academy?
No prior experience is required. Digital Marketing Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 3 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “Push Notifications and In-App Messaging” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this Digital Marketing Academy lesson?
Yes. Every Digital Marketing Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- Mobile-First Marketing Strategy
- App Store Optimization Fundamentals
- Push Notifications and In-App Messaging
- SMS and Mobile Advertising Channels