NEW! Case Study: 81% Conversion Boost for Wizz
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What Does Contextually Aware Mean in Notifications?

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AllProductGrowthMarketEngineering
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The Post-App Store Era: Epic vs Apple Is Over. Stripe vs Apple Pay Is Just Beginning.

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Using AI for Understanding User Habits in Real Life

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Why Intent Detection is the Holy Grail for Enhancing User Experiences in Mobile Apps

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The Future of Entertainment Apps: Real-Time Personalization

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Why Duolingo’s ML Ads Engine is brilliant and what on-device context could unlock next

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The AI-Driven App Store: Optimizing Your App's Visibility and Conversions

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Understanding User Behavior Through Real-World Context

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Boost Your Campaign Performance with AI-Powered Ad Optimization: Tips and Tools

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Reducing Dropout Rates with Personalized Learning

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The Psychology of Push: Why 60% of Users Engage More Frequently with Notified Apps

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How to Deliver In-App Notifications Based on User Activity

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AI-Powered Intent Detection: How to Understand and Act on User Behavior

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How ContextSDK Boosts Learning Engagement in EdTech

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Optimizing Push Notifications for Social Media Engagement

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Why Timing is Key to Fitness App Engagement

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Optimizing Subscription Offers for EdTech Success

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Privacy-Focused Personalization for Social Media Apps

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Using AI to Enhance User Connections in Dating Apps

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How ContextSDK Drives Engagement for Streaming Apps

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Building Habit-Forming Fitness Apps with Context Nudging

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On-Device AI: Revolutionizing Mobile Experiences in a $173.9 Billion Market

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Why Contextual Targeting is Key in Mobile Gaming Advertising

January 31, 2025
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Unlocking the $100 Billion Consumer App Market with Context-Aware Technology

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Why Incrementality is the Future of Marketing Measurement

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How to overcome onboarding challenges in regulated industries with on-device AI

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How Real-World Context Serves as a Powerful Proxy for Understanding User Intent in Mobile Apps

January 17, 2025
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What Is an Example of Contextual Awareness in Notifications?

January 13, 2025
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Contextual Triggers: When and How to Introduce Subscription Options for Maximum Conversion

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Choosing the Right Path to Monetization for Mobile Apps

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How SSP Data Powers Ad Networks: Insights from Applovin and Unity

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The Role of AI driven optimization engines in Modern Advertising

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The Next Decade of AI Marketing: Preparing Your Team for the Coming Revolution

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How to Capitalize on a Sudden Surge in Mobile App Downloads: Best Practices

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The Importance of Understanding User Intent for Creating Successful Mobile Apps

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How Long Is User Retention in Mobile Apps?

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How Cookie-Based Advertising Suffers from Signal Loss

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Overcoming AI Marketing Hurdles: 5 Common Challenges and How to Solve Them

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How To Calculate App Retention Rate

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Predictive Analytics in Mobile Apps: Using AI to Forecast User Behavior

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Personalization at Scale: How AI is Transforming Mobile App User Experiences

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AI-Powered App Marketing: 5 Strategies to Boost User Acquisition and Retention

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Common Proxies Mobile Apps Use to Understand User Intent

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Mobile App Conversion Rate Dropping? Here’s How to Fix It

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AI and Big Data Fueling Personalized Health Journeys in Mobile Apps

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Scaling AI in Your Marketing Department: Best Practices for Sustainable Growth

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Seamless Integration: Bridging the Gap Between AI Tools and Human Marketers

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Gaming App Retention Days: Understanding and Improving User Retention for Mobile Games

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The CMO's Guide to AI Classification: Maximize Your Marketing Tech Investments

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Maximizing Opt-Ins: Key Insights for 2024

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User Growth vs. Monetization: Key Trade-offs for Mobile Apps

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Beyond Narrow Tasks: How AI Will Transform the Entire Marketing Function by 2031

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Overcoming Notification Blindness in Mobile Apps: How ContextSDK Provides the Solution

November 22, 2024
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Gamified EdTech Apps Enhanced by Real World Context

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Overcoming Mobile App Challenges: How AI and Context Detection Boost User Engagement

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AI Across the Customer Journey: 7 Real-World Examples of Marketing Transformation

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AI-Driven Context Shaping the Future of Mobile Apps

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Revolutionizing Mobile Industry with Insights from Contextual User Data

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The Future of App Personalization: Edge ML, Real-World Context, and Intent Detection

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Signal Loss in Advertising: Meaning, Causes, and Solutions

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Why Most Mobile Apps Struggle to Detect User Intent at the Start of a New Session

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Building Trust to Improve Long-Term Subscription Retention

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AI-Driven Marketing: How to Boost Sales and Customer Satisfaction in 2025

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Maximizing Sales Through Strategic Product Offers

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Crafting Onboarding Prompts That Convert Free Users to Paid Subscribers

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What Is Biased Attribution?

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The Context Revolution: Decoding User Intent in Mobile Apps for Personalized Interactions

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The Crawl-Walk-Run Approach to AI Marketing: Start Small, Win Big

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Unlock the Power of AI in Marketing: 5 Ways to Revolutionize Customer Engagement

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The 4 Pillars of AI Marketing: From Basic Chatbots to Advanced Predictive Analytics

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Navigating AI Privacy Concerns: Building Trust While Leveraging Customer Data

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What Are Effective Ways To Reclaim User Attention In A Mobile App?

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2025 AI Marketing Landscape: Trends, Tools, and Tactics You Can't Ignore

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Revolutionizing Mobile Apps: 5 Powerful Use Cases for Real-World Context

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Measuring Success: Key Metrics for Evaluating Your Dynamic Product Strategy

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What Is Intent Data?

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DAU, WAU, and MAU Metrics: Key Performance Indicators for User Engagement

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How To Respond When Your Mobile App User Acquisition Spikes: Strategies For Sustained Growth

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From Push Notifications to Dynamic UX: How Real-World Context Transforms Mobile Apps

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Scaling Context: How to Build a Robust Platform for Millions of Mobile Users

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Monetization Pressure: Strategies for Mobile Apps to Achieve Growth Goals

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Beyond Clicks: Leveraging Real-World Context to Predict User Intent in Mobile Applications

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What Strategies Can Help Overcome Inattentional Blindness in App Design?

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Predictive Analytics in Digital Marketing: Benefits and Applications

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Context is King: How to Create Push Notifications Users Want to Open

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Push Notification Analytics: Using Data to Refine Your Context-Aware Strategy

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A Comprehensive Overview of AI and ML in Mobile Apps

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Personalizing Mobile Experience with Insights for Tailored Interactions

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Optimizing Mobile App Performance with Real-World Context Insights

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How Mobile Apps Can Adapt to Rapidly Changing Market Conditions in 2024

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Combining AI and User Intent for Contextual App Optimization

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Common Pitfalls in Mobile App User Experience Design and How to Avoid Them

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What Strategies Can Help Recover A Declining App Retention Rate?

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Balancing Privacy and Performance: Building a Scalable Context Platform for Mobile

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AI & ML in Mobile Apps: An Introduction and the Latest State-of-the-Art Practices

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How to Install Android SDK on Android: A Step-by-Step Guide

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Meeting Customer Expectations in Mobile App Marketing with AI

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How to Calculate Your Mobile App Retention Rate: A Step-by-Step Guide

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Decoding Signaling in Marketing: How Brands Communicate Value

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Data Privacy and Signal Loss: Navigating the New Marketing Landscape

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Mastering Performance Optimization in iOS Apps: Key Strategies

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Navigating the Cookie-Less Future: Insights for the Real World

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Optimizing User Experience: Leveraging Targeted Data Collection in App Interactions

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Personalization at Scale: Using AI to Tailor User Experiences

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Overcoming Challenges in Cross-Platform Optimization for Mobile Apps

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Biggest Challenges Facing CMOs in Mobile App Marketing Today

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Why Mobile Apps Face High User Churn Rates Within Days: Causes and Solutions

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How Targeted Data Collection Enhances App Performance: Best Practices for Developers

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