Tailor AI Β· Help Β· FAQ
Can I send downstream data from my data warehouse for experiment analysis?
From the Tailor AI team Β· Reviewed
Answer
Yes. You can bring in downstream outcome data like plan upgrades or cancellations for experiment analysis. Tailor supports a self-serve Amplitude integration; custom data warehouse integrations may be available depending on requirements.
Yes, there are options to bring in downstream outcome data that Tailor cannot infer from page event tracking alone.
Today, the most straightforward path is to pull in downstream events from your analytics stack, for example events such as plan upgrades, activation milestones, or cancellations, so those can be used as experiment goals and for deeper analysis. We already support this model for other downstream event integrations, including a self-serve integration with Amplitude.
For Snowflake specifically, we do not currently offer a self-serve ingestion product. That said, we use Snowflake extensively ourselves and are confident we can set up a custom API-based integration quickly based on your requirements. We are happy to talk through the cleanest approach for your stack and can do this depending on requirements, since it helps us learn from customers and productize useful integrations over time.
What I'd do next
- Set up the Amplitude integration via the Tailor dashboard
- Contact us to discuss a custom Snowflake integration
Caveats
Self-serve Snowflake integration may be productized in the future, changing the setup process
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