Project details
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How it works:
Travelxp integrated an AI-powered engagement engine that personalizes content and interactions for every user across its app and web platforms. By analyzing user behavior in real-time, the system delivers timely notifications, content recommendations, and interactive prompts tailored to each viewer’s preferences. This personalization created a seamless journey for both new and returning users, making them more likely to stay and explore.
Behind the scenes, the AI continuously learns from engagement patterns—what users watch, when they drop off, and what prompts bring them back. It then fine-tunes its approach using A/B testing and behavioral triggers to optimize communication. The result: smarter outreach that feels natural, relevant, and timely—significantly improving retention and lifetime value.
Our challange:
Travelxp faced declining retention due to fragmented engagement and generic messaging. With a diverse global audience, it became clear that a one-size-fits-all strategy was ineffective. Viewers often disengaged after a single visit, with low click-through rates on promotions and minimal return visits. We needed a dynamic solution that could understand each viewer’s intent and respond in real time.
What kind of AI technology was used ?
We used behavior-based machine learning models designed to analyze user actions such as viewing history, session duration, click patterns, and interaction frequency.
How was user data collected ethically ?
Travelxp maintained a strong commitment to user privacy and ethical data practices. Data collection was conducted with full transparency—users were informed and consent was obtained before tracking behavioral data.
What channels were optimized for engagement ?
We focused on the three most impactful channels: push notifications, in-app messages, and email. Each channel was tailored using AI insights. Push notifications were triggered based on behavioral signals—like when a user typically opens the app or abandons midway through a show.
Was the AI tested before full rollout ?
Yes, we followed a phased rollout approach. First, the AI system was deployed in a controlled A/B testing environment across small user segments. We compared retention, engagement, and content interaction between the test group and control group.
Did this impact content strategy ?
Definitely. The insights generated by the AI platform gave us a clearer picture of what our audience actually wanted. It revealed content categories with hidden potential, viewer drop-off points, and binge-worthy segments.
Can this model scale globally ?
Yes, the AI architecture was built for scalability across languages, regions, and user demographics. It supports multilingual content, localized preferences, and time-zone-specific engagement.
Achievement:
By adopting AI-powered engagement, Travelxp achieved a 30% increase in viewer retention within just 90 days. The platform witnessed longer session durations, a 25% improvement in return user visits, and higher interaction with recommended content. More importantly, this AI integration helped shift Travelxp’s strategy from reactive to predictive engagement—anticipating what users need before they even ask. This not only improved user satisfaction but also contributed to better monetization, reduced churn, and a stronger digital brand presence worldwide.