Calltouch → Google BigQuery
We collect and process all the data you need to easily build any reports
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Collect Data from Calltouch in Google BigQuery
Empower your analytics with Calltouch and OWOX BI
Call tracking services have become a standard tool for obtaining complete objective data on the efficiency of advertising campaigns. Calltouch is a call tracking service that tracks every phone call from online and offline channels and allows you to segment all the calls you get with context advertising down to the keyword.
How can you gain a better understanding of your business efforts? Bring together comprehensive data from various systems, including call tracking services, Google Analytics and CRM. This is where OWOX BI comes in. With its help, you can bring together all the information you need in Google BigQuery.
OWOX BI Pipeline
OWOX BI Pipeline imports data from the Calltouch call tracking service into Google BigQuery automatically and in no time at all, so that you can determine the most effective customer acquisition channels. Moreover, by combining the data from Google Analytics and ERP systems in Google BigQuery, you will be able to track every user’s activity on your site.
Integration of OWOX BI and Calltouch enables you to:
Connect the data about calls from a call center with the order completion metrics.
Reallocate your advertising budget on the basis of complete data.
Get accurate data down to the hit.
Analyze huge amounts of data within minutes.
Build summary reports of any complexity and segmentation to monitor KPI.
Sign in to OWOX BI
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Set up the data pipeline from Google Analytics to Google BigQuery
Create a pipeline to collect unsampled data from Google Analytics in Google BigQuery.
If you have already set up the pipeline from Google Analytics to Google BigQuery, you can skip to the next step.
Enable integration in Calltouch
Enable integration with OWOX BI in the Universal Analytics section of Calltouch.
Make sure that you are using the same UA property, both for the Calltouch, and OWOX BI integration, and for the data pipeline from Google Analytics into Google BigQuery.