How a cosmetics brand used custom deep analytics & increased customer retention?

We were working with a super famous FMCG Company’s Top Cosmetic Brand on their existing product’s version 2.0. It was a makeover app whose first version was already live and had about 3 million downloads in India across device platforms with active user base of 100,000 to 200,000.

The problem statement supposed to be addressed was; while the daily downloads and number of users were high; returning users were very low.

To solve the problem, we created:

1. We created a custom Analytics and developed a Retargeting SDK which was integrated onto customer’s existing mobile applications on Android and iOS.
2. Apart from custom analytics SDK, we also created a custom feature in the app, which is a content driven feature, based on app analytics, the content becomes adaptive, which renders personalised content for the user.
3. We also started doing an ongoing deep analytics month on month for both Android & iOS apps. Based on the insights from these analytics, brand was able to personalise user experience, products/content showcase leading to higher customer retention as the customers started finding the app very relevant content to their styling preferences.

OUTCOMES of the innovative product thinking lead to:

1. Achieving a download base of 5 million+ post release with active user base of 300,000 to 400,000 users per month
2. Increase in returning user rate resulting in a higher brand loyalty and focused customer reach
3. SDK development with great user experience
4. Monthly Product Analytics Consulting for the Mobile apps on Android and iOS