CASE STUDY

How increased their implementation efficiency and data accuracy by 70% with DLAT by Tatvic

client background
Client Background

Founded in 2007, BookMyShow enjoys the distinction of being one of the early pioneers in mobile commerce and is a leader in the entertainment ticketing space in India with 25 million+ app downloads. Over the years, the company has grown to 250 cities and drives 10 million ticket sales per month across multiple categories such as movies, sports, and events.

problem
Problem

Difficulty in Monitoring Implementation Status

BookMyShow was facing 2 major problems while implementing Google Analytics 360 for their website and mobile application.

  • They weren’t able to gather accurate data for analysis in a standardized format
  • There was also a need to develop an automatic mechanism to monitor the tracking implementation status
approach to solution _ hypothesis
Approach to Solution

Automating Configuration of Google Tag Manager with DLAT

DataLayer Automation Tool (DLAT) is developed by Tatvic for automating the configuration of Google Tag Manager data layers. It offers an efficient way to create a tracking requirement for managers & provides the exact snippets to be pushed on the web/app to resp. developers via email. With this tool, we were able to solve these issues at one go.

DLAT has a simplified interface where all the stakeholders like developer, tester & manager can interact and manage the status of different implementations. DLAT Dashboard provides an overall status of the implementation to the manager and respective action items can be managed easily.

Results
Results

More Work in Less Time

Since we used the Google Tag Manager API to automate tag creations and increase data collection accuracy, upon completion, the client was successfully able to record an increase in accuracy of data collection and reduction in implementation time by 70%.

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