Embedded analytics shows up wherever a user would otherwise have to leave a product to find their own data. Common examples of embedded analytics include:
- SaaS products. Each customer gets a usage dashboard inside the app, so they see their own activity and outcomes without exporting a CSV or waiting on a report from support.
- Marketplaces. Sellers and vendors get a dashboard showing their own listings, orders, and revenue, without visibility into any other account's data.
- Internal ops tools. Support or operations teams see live metrics inside the tool they already work in, instead of switching to a separate BI tool to check numbers.
- Learning platforms. Instructors see student engagement and course completion data inside the LMS itself, the pattern covered on Draxlr's learning platform analytics page.
- Agencies and consultancies. Clients log into a white-labeled portal to see their own reporting, branded as part of the agency's product rather than a third-party tool. See Draxlr's white-label BI solution for this use case.
- Subscription and fintech apps. Account holders see their own transaction history and spend trends inside the app they already use to manage their account.
Draxlr supports all of these use cases. You connect your database, build the dashboard once, and embed it with row level restrictions so each viewer only sees their own data.
For a deeper look at how this works for SaaS products specifically, see our embedded analytics for SaaS guide.