CASE STUDY I Swiggy

Remerge identified key user events that indicated high purchase intent, such as users who added items to their cart but did not complete the checkout process, or those who viewed items without purchasing. By segmenting these users based on the recency of these actions, Remerge was able to tailor campaigns to target users who were more likely to convert.

Initially, campaigns were run using only image creatives. However, Remerge recommended incorporating video creatives to increase click-through rates (CTR) and scale the campaigns. The creatives were updated weekly and monthly to align with seasonal events and Indian festivals, such as Swiggy's anniversary and Diwali. The additional use of limited-time discounts, such as "Free delivery on your first order," created a sense of urgency, driving higher engagement and conversions. Through Remerge's multi-armed ad bandit, we dynamically allocated traffic to high-performing variations in real-time, without the need of long-running A/B tests.

By leveraging Remerge’s proprietary bid-multiplier and its deep neural networks, the spend was adjusted during peak user activity hours (such as 11am - 2pm and 7pm-9pm) while ad supply was optimized by identifying the top-performing sources. Remerge also adjusted bids manually for seasonal creatives to further capitalize on high-intent periods.

With Remerge’s industry-leading scale, processing twice as many ad opportunities as the industry average, spend was automatically scaled up to maximize budget efficiency and campaign impact.