webinar register page

Webinar banner
The Value Exchange: Generating Trust Through Personalization
71% of consumers expect companies to deliver personalized interactions, making it table stakes for mobile app creators to offer unique experiences to attract and retain users. But figuring out what users expect from your app specifically requires understanding user trust and sentiments at a deeper level. 

During this webinar, Arity will highlight key findings from new research that will help you understand how user trust varies across mobile apps, and how you can increase user engagement based on how users perceive your app today.

Register to learn:
- How user trust varies across app categories
- Why evaluating user trust is foundational to building a resilient engagement strategy
- What insights you need to build personalized features that users expect from your app

*By registering for this event you consent to be contacted by MGA and/or Arity.

Aug 25, 2022 12:00 PM in Eastern Time (US and Canada)

Webinar logo
* Required information


Chuck Fuller
Chuck Fuller is a Director of Product Management at Arity where he leads the development of unique insights and experiences for mobile application publishers. Over the past 15 years, Chuck has built mobile, analytics, and advertising solutions for both consumer and enterprise solutions. Most recently, he drove innovation for Snap, Inc. and Foursquare, and he’s also led product management at Microsoft, Tune, and Marchex. Chuck holds a BA from the University of North Carolina at Chapel Hill and an MBA from the University of Michigan.
Chase Davis
With a background in mobile development and behavioral analytics, Chase leads the technical evaluation and trial process for Arity. Since joining Arity in 2019, he’s advised numerous prospects on leveraging Arity’s technology so they can enhance the mobile experience for customers across industries including personal finance, auto insurance, fuel & convenience, weather, and more. Chase holds a BS in Software Engineering and a MS in Computer Science from the University of Texas at Dallas.