> For the complete documentation index, see [llms.txt](https://wattsee.gitbook.io/wattsee-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wattsee.gitbook.io/wattsee-docs/retention-and-engagement.md).

# Retention & Engagement

User retention will focus on continuous safety and increasing value over time:

* **Realtime alerts:**
  * At session start (e.g., “Charging normally” or “Abnormal current detected”).
  * During charging (detecting fluctuations or surges).
  * After session ends (summary of risks).
* **Battery health learning:**
  * Over multiple sessions, Wattsee learns charging patterns and predicts early battery degradation.
  * Suggest maintenance or battery replacement before serious risk occurs.
* **Personalized reports:** The longer Wattsee is used, the more accurate and useful the data becomes for the user.