Partner

Summary

Pendo is an analytics platform built purposefully for companies to gain valuable context across their apps and AI agents, helping teams understand, guide, and improve how people actually use their digital products.  It is designed to analyze what happens in the product itself: which features get used, where users get stuck, and how to guide them toward value in the moment.

Bounteous and Pendo together help complement existing web and mobile analytics platforms, adding a product analytics and in-app engagement layer that works hand in hand with the measurement stack many already have in place and increasingly, showing whether AI features that are shipping are landing with users.

How We Work Together

As a certified Pendo partner, Bounteous is equipped to execute the full range of implementation and strategy work our clients need to get value from the platform, including:

  • Pendo implementation and instrumentation planning  
  • In-app guide and onboarding flow design  
  • Feature adoption and retention analysis  
  • Ongoing optimization and governance support  
  • Instrumenting and optimizing AI features and in-app agents  
  • Integration design connecting Pendo with GA4, BigQuery, and the entire GMP stack
Key Features
  • Product Analytics

    Feature-level usage tracking, funnels, and retention analysis without engineering-heavy instrumentation.

  • In-App Guides

    Manage and resolve identities across anonymous and known customers across first, second and third party sources of your choice, respecting privacy regulations.

  • NPS and Feedback Collection

    Native surveying tied directly to in-product behavior.

  • Session Replay

    Visual playback of real user sessions to diagnose friction points.

  • Road Mapping

    Tools to align product feedback with what gets prioritized and built next.

  • Agent Analytics

    Visibility into how people actually use the AI agents and assistants inside your product, so you can tell whether they’re helping or just running.

  • Product Analytics

    Feature-level usage tracking, funnels, and retention analysis without engineering-heavy instrumentation.

  • In-App Guides

    Manage and resolve identities across anonymous and known customers across first, second and third party sources of your choice, respecting privacy regulations.

  • NPS and Feedback Collection

    Native surveying tied directly to in-product behavior.

  • Session Replay

    Visual playback of real user sessions to diagnose friction points.

  • Road Mapping

    Tools to align product feedback with what gets prioritized and built next.

  • Agent Analytics

    Visibility into how people actually use the AI agents and assistants inside your product, so you can tell whether they’re helping or just running.