Import your Pivotal Tracker data into your data warehouse

Easily load your Pivotal Tracker data into your data warehouse

With Blendo Pivotal Tracker integration, it is easy to import Pivotal Tracker data into your data warehouse to get more answers about your customer support efforts. Drill down to your development teams’ data measure their efficiency. Combine it with data from customer support and customer success and see if your converted users are actually creating value or how response and development time of a support ticket affect your customers.

Use Cases

As soon as your Pivotal Tracker data is synced into your data warehouse, here are some ways you can use it.

Measuring Team Performance

See the progress of your tickets and time of resolution.

Customer Support ROI

Find out if your development efforts bring the return you expect. Combine it with data from billing and uncover your ROI.

Ad Campaign Conversion

Combine data from other sources like support and sales. Uncover what features and development effort converted more valuable users.

How to get started with your Pivotal Tracker data integration

Getting started importing your Pivotal Tracker data is easy. First, you need to connect a data warehouse as a Destination. Then add Pivotal Tracker as a Data Source. It will take three minutes to set it up. Next, Blendo will import any information from your Data Source and load it into your data warehouse. We do the heavy lifting so you can focus on your product, analyze the performance of your development team and optimize customer support.

Data

Check our documentation on what kind of data you are going to expect from Pivotal Tracker into your data warehouse.

Integration Guide

Check our documentation on how to connect Pivotal Tracker as a Data Source and start syncing your data to your data warehouse.

What can you learn from your Pivotal Tracker data?

With Blendo’s integration, it is easy to pull Pivotal Tracker data with your development projects and releases. Drill down to your development teams’ data measure their efficiency. Combine it with data from customer support and customer success and see if your converted users are actually creating value or how response and development time of a support ticket affect your customers.

detailed documentation

Check our documentation on how to setup Pivotal Tracker integration as a Data Source and start syncing your development data to your data warehouse.