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Python SDK
Indicative Analytics

Integrate your Python app with Indicative Analytics

Don’t go through the pain of direct integration. RudderStack’s Python SDK makes it easy to send data from your Python app to Indicative Analytics and all of your other cloud tools.

Easy Python SDK to Indicative Analytics Integration with RudderStack

RudderStack’s open source Python SDK allows you to integrate RudderStack with your Python app to track event data and automatically send it to Indicative Analytics. With the RudderStack Python SDK, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.

Popular ways to use Indicative Analytics and RudderStack

Enable real-time data

Automatically send real-time data to marketing analytics, product analytics and business analytics tools

Cross-platform tracking

Track the entire user journey across platforms without the technical headache.

Hot-swap analytics tools

Send existing data feeds to new analytics tools with a few clicks

Frequently Asked Questions

With Rudderstack, integration between Python SDK and Indicative Analytics is simple. Set up a Python SDK source and start sending data.

Pricing Python SDK and Indicative Analytics can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.

Timing can vary based on your tech stack and the complexity of your data needs for Python SDK and Indicative Analytics.

Yes, RudderStack streamlines the integration and management of your connection between Python SDK & Indicative Analytics, but you check out our guide on How To Send Data From Your Python App to Microsoft Azure Synapse Analytics to learn how to connect the tools manually.

Use the Indicative Analytics integration with other popular sources
Use the Python SDK integration with other popular destinations
About Python SDK and Indicative Analytics

Indicative is a behavioral analytics platform that provides real-time, actionable insights into customer behavior across touchpoints in their journey. It offers functionalities such as multipath funnel analysis, retention analysis, and customer journey analysis, as well as the ability to connect to various data sources including SQL databases, data warehouses, and APIs. Indicative Analytics also provides customizable dashboards, notifications, and automation to help product managers and data analysts make data-driven decisions.

Can Indicative Analytics help reduce customer churn for businesses?

Yes, Indicative Analytics can help reduce customer churn by providing insights into customer behavior and identifying areas where businesses can improve the customer experience. Through retention analysis and customer journey analysis, product managers and data analysts can pinpoint touchpoints where customers may be dropping off and take action to address those issues. Indicative Analytics also allows for the integration of event data from various sources, such as mParticle, to provide a more complete picture of customer behavior.