Indian Startup LafaLafa Takes Coupon Aggregation to the Next Level with Facebook Tools

The Story

LafaLafa is India's leading cashback, coupon, and product search website and mobile app, allowing consumers to save money on their online shopping by earning extra cashback whenever they shop online at their favorite stores through the site, such as Flipkart, Paytm, Freecharge, Jabong, and Shopclues. Within a year since launch, the LafaLafa app has crossed 800,000 downloads on Google Play and was selected for the prestigious 500 Startups accelerator program. LafaLafa is also a member of the FbStart Bootstrap track, which provides startups with an exclusive community, worldwide events, Facebook mentorship, and free tools and services from a breadth of partners.

Available on: Web, Android

The FBStart program has been a great way for us to explore tools by Facebook and it's partners which are now indispensable to us. We would definitely encourage all mobile focussed startups to leverage these partnerships and apply for FBStart. This, coupled with our time at the 500 Startups accelerator last quarter, was a great boost for LafaLafa. It put us on a global platform in Silicon Valley and helped us launch in new markets such as Hong Kong. As a female founder, I loved the opportunity to learn from a diverse community of founders at 500 Startups and mentors at Facebook, and to build an amazing global network of entrepreneur friends, especially fellow female founders in tech. We are always pushing each other forward and that support is invaluable.

Yosha Gupta, Founder, LafaLafa

The Goal

Using Facebook Analytics for Apps, LafaLafa found that 85% of its customers were men under 34. Based on this insight the LafaLafa team customized the offers displayed to these core users; for example, for men, the app showed offers that were targeted specifically towards men, such as mobile phones and electronics, or men’s fashion and mobile chargers, as opposed to showing them ads for women's fashion. This resulted in a significant increase in the 30-day retention rates of their app by 50%. LafaLafa also used Facebook Analytics for Apps to analyze Facebook Login usage rates, identifying which time of the day had the most activity.

The Solution

Based on the Analytics data, LafaLafa was also able to identify the demographics of their most engaged customers in terms of number of transactions and referrals made. Using the Lookalike Audience feature on Facebook App Ads they placed advertisements targeted to people who match the same demographics as these users. This resulted in a 15% decrease in customer acquisition costs, when compared to other mobile advertising channels, and these newly acquired customers were also twice as engaged as users acquired from other sources.

The Results


increase in 30-day retention rates


increase in MAU after implementing insights from Facebook tools


decrease in CAC with Lookalike Audiences

Facebook Products Used

Allowed people to post their unique referral links on Facebook and invite their friends.

Insights from this product influenced LafaLafa's decisions around key UI updates.

Helped people easily sign up and log into LafaLafa.

Targeted people who are similar to their best user via Lookalike Audience.

Tracked the number of shares and clicks to make informed product decisions.