CASE STUDY

How  Achieved a 30% Higher Conversion Rate with Tatvic’s PredictN Remarketing Campaign

client background

Client Background

Client Name: Eureka Forbes Ltd.
Client Domain: Water Purifiers, Vacuum Cleaners, Air Purifiers & Security Solutions
Headquarters: Mumbai, India
About the Client: Eureka Forbes Limited is India’s leading health and hygiene brand. It is a multi-product, multi-channel organization with Aquaguard being the flagship water purifier brand.

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    problem

    Challenge

    To drive good volume of leads for their water & air purification products from their returning visitors, they run a number of remarketing campaigns per month. For these campaigns, the Eureka Forbes team was looking to increase the conversion rate while also lowering the Cost per Lead (CPL). This was possible by narrowing down the target audience.

    approach to solution _ hypothesis

    Approach to Solution

    Tatvic’s Data Science team extracted past 3 months’ of visitor acquisition and behavioral data (For eg. session duration, visits, device category, geo, pages visited, lead forms filled, acquisition channels, and more) using Google Analytics Reporting API and ran series of feature engineering on it using PCA, under/over sampling, transformation. Then applied PredictN model to decode the periodic pattern of visitors. Download the full case study to know how exactly did we use the PredictN model to help Eureka Forbes increase their Conversion Rate by 30% while also decreasing their Cost per Click by 41%.

    Results

    Results

    • 30% higher Conversion Rate
    • 37% lower Cost per Demo
    • 41% lower Cost per Click

    Download the full case study to understand the impact and the results in greater details for a better understanding of these challenges that we tackled along with Eureka Forbes.

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      Riddhi Khakhi

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