Interactive In-App Messages
Darius Meiners - CRM Freelancer
Introduction
As businesses seek to gather valuable customer insights, using in-app messages with dynamic input options has proven to be a powerful tool. Recently, I developed custom HTML in-app messages that included multiple input options, such as sliders, radio buttons, checkboxes, and tags. This data was saved in Braze CRM and synced in near real-time with the company’s PUT APIs to facilitate immediate data collection and updates. By implementing this solution, we achieved an impressive conversion rate of 30-50%, directly impacting the company’s ability to improve AI models and product recommendations.
Custom HTML In-App Messages with Dynamic Input Options
Creating Interactive In-App Messages
The custom in-app messages were designed to engage users with multiple input options, including sliders, radio buttons, checkboxes, and tags. These dynamic inputs provided users with an interactive experience, allowing them to select preferences, provide feedback, or adjust settings related to the company’s product offerings.
Why Input Variety Matters
By offering multiple input types, we allowed for a broader range of data collection. Users could express their preferences in various ways, making it easier for the business to gather actionable insights. Whether users adjusted sliders for product recommendations or selected tags to describe their preferences, each interaction was recorded and used to enhance the customer experience.
Syncing Data to Braze and PUT APIs for Near Real-Time Updates
Real-Time Data Sync with Braze and PUT APIs
One of the critical aspects of this project was ensuring that the data collected through the in-app messages was synced immediately. By integrating the data with Braze CRM, the information was stored securely and updated in near real-time, with updates occurring within seconds. The system then transmitted the data to the company’s PUT APIs, ensuring that all user preferences and interactions were available for instant analysis.
Streamlining Data Collection
This real-time data sync allowed the business to act quickly on user preferences. Whether it was product feedback or adjusting AI-driven recommendations, the system provided a direct line of communication between user input and actionable business insights. This quick turnaround time ensured that the data remained relevant and timely.
Driving Business Impact through AI and Recommendations
Improving AI Models and Recommendations
The primary business goal behind this campaign was to improve the company’s AI models and product recommendations. By collecting detailed user data in real time, the product team could refine their algorithms to deliver better and more accurate recommendations. Each user interaction contributed to the AI’s ability to learn and predict future user preferences, leading to more personalized and relevant product offerings.
Achieving 30-50% Conversion Rates
The interactive nature of the in-app messages, combined with the real-time data syncing, significantly boosted conversion rates. With users actively engaging with the content and providing immediate feedback, the campaign saw conversion rates ranging from 30-50%. This high engagement not only benefited the marketing campaign but also provided valuable data to improve the product’s AI-driven personalization efforts.
Real Business Impact and Future Scalability
Creating a Tangible Business Impact
This project had a direct impact on the business, from improving customer engagement to enhancing AI models and recommendations. The data collected from these in-app messages allowed the company to make more informed decisions about product offerings and customer preferences. By enabling real-time updates, the system provided a continuous feedback loop, helping the product team to stay agile and responsive.
Scalability for Future Campaigns
The framework developed for this campaign is highly scalable and can be applied to future product-related campaigns. By leveraging Braze’s CRM capabilities and syncing data with PUT APIs, the company can continue to gather valuable customer insights and refine its products. This solution is flexible enough to accommodate new input types and data sources as the company’s needs evolve.
Conclusion
The development of custom HTML in-app messages with dynamic input options, integrated with Braze CRM and synced to PUT APIs, not only improved user engagement but also had a real business impact. With 30-50% conversion rates, the system provided critical data to enhance AI models and deliver better product recommendations. As businesses continue to seek ways to improve personalization and customer satisfaction, this solution offers a scalable and effective approach for future campaigns.