Journey analytics vs customer analytics vs attribution
Journey analytics asks how the path unfolded. Customer analytics (the Convertmax product) asks which customers and cohorts created value—LTV, quality, channel mix. Attribution asks how to distribute credit. You need the journey reconstruction underneath both products; otherwise LTV-by-channel and multi-touch models are guesses.
What a complete journey includes
A useful journey is not a page-path report in web analytics. It is a timeline of marketing, product, sales, and revenue events tied to one person or account.
- Anonymous research sessions and later identified visits.
- Campaigns, content, and landing pages that created or assisted intent.
- Forms, chats, and phone calls.
- CRM lifecycle changes, opportunities, and sales activity.
- Orders, invoices, subscriptions, expansion, and returns.
Where journey reporting usually breaks
Each system starts its clock at a different moment. Web analytics starts at the session, the CRM starts at the lead, billing starts at the invoice. Without identity resolution and a shared event model, you cannot explain which journey produced the customer you kept.
How to put journey analytics to work
Define stages that match how you sell, then inspect paths that convert versus paths that stall. Use Convertmax customer analytics for LTV and acquisition quality, and the Revenue Graph topic when you need the data-model view of those relationships.