Embedded Analytics Client Stickiness Review (Retention)

Embedded Analytics Client Stickiness Review (Retention)

1. 01

   Audit dashboard usage metrics for each client tenant

   Pull monthly active users, session length, and query counts from the embedded analytics platform to identify adoption gaps before renewal conversations.

2. 02

   Interview three power users per client to capture feature friction

   Ask about the most-used dashboards, missing data sources, and any workarounds they've built outside the platform to spot expansion opportunities.

3. 03

   Compare current feature usage against the contracted scope

   Flag underused premium features that could be repositioned as value-adds, and note any custom requests that signal a need for a higher tier.

4. 04

   Review support tickets and feature requests for recurring patterns

   Cluster issues by theme (e.g., slow queries, confusing filters) and quantify the time spent on each to prioritize roadmap items that reduce churn risk.

5. 05

   Assess the client's data stack for new integration opportunities

   Check if the client has adopted new tools (e.g., Snowflake, BigQuery) that could be connected to the embedded analytics to deepen stickiness.

6. 06

   Draft a renewal proposal with usage-based upsell recommendations

   Include specific metrics like '3 new dashboards requested by 40% of users' to justify a price increase or a move to a higher plan.

7. 07

   Schedule a business review with the client's decision-maker

   Present the usage audit, roadmap suggestions, and renewal terms, framing the analytics as a strategic asset that reduces their operational overhead.