CASE STUDY

Times point new user retention increased by 25% and for returning users, it increased by 30%

client background

Client Background

Client Name: The Times of India
Client Domain: Publisher
Headquarters: Delhi, India

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    problem

    Challenge

    Due to the below challenges it was difficult to visualise the data as required.

    • Complex Logic and identifiers to develop the cohort.
    • Large BigQuery table sizes

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    approach to solution _ hypothesis
    • We made use of advanced SQL query and database to develop the logic for user retention cohort dashboard basis events.
    • The Big Query table size was large and it was difficult to work on it, so we optimized the table size by identifying and including the events whose feature retention was required for analysis.

    To know the rest of the steps, download the case study

    Results

    Results

    • For the Times point feature, new user retention increased by 25%, and returning users increased by 30%.
    • For Onboarding features, new users increased by 7%, and returning users increased by 12%.

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