The SaaS analytics stack: Postgres + Stripe + Amplitude + HubSpot
Your product, billing, usage, and CRM data live in four different systems. Here's how to query across all of them without building a data warehouse.
Your product data is in Postgres. Billing is in Stripe. Usage analytics is in Amplitude. CRM is in HubSpot. The question your CEO keeps asking (“which customers with declining usage are up for renewal next month?”) requires data from all four.
The problem
SaaS teams have the most fragmented data of any business model. Product behavior lives in one system. Revenue in another. Customer relationships in a third. Usage patterns in a fourth. The questions that matter most (churn risk, expansion revenue, feature-to-revenue correlation) always span multiple systems.
Without a data team to unify these sources, the answer to most cross-source questions is “let me pull that together in a spreadsheet and get back to you.”
The setup
No warehouse needed. No ETL pipelines. Contextflo connects directly to your Postgres database and to Stripe, Amplitude, and HubSpot via API. You can ask questions that span all four sources in a single conversation.
What you can now ask
“Which customers with declining Amplitude usage are up for Stripe renewal in the next 30 days?”
“What's the correlation between feature X usage in Amplitude and upgrade rate in Stripe?”
“Show me all HubSpot deals in negotiation where the contact's company has more than 50 active users in our product.”
“What's our net revenue retention by cohort, broken down by which features they use most?”
The SaaS data unlock
The most valuable SaaS insights live at the intersection of product, revenue, and customer data. But building a unified data model across these sources is a multi-month project. This setup gives you those cross-source answers now, without waiting for the data infrastructure to catch up.