The Cocomelody team created two new economical categories to reduce customer drop-offs. Using MoEngage Analytics, they understood shopping preferences and ran focused campaigns on these categories along with personalized messaging, to drive better conversions.
• 30% more sales under the ‘Try at Home’ category
• 27% increase in repurchase rate
• 69% boost in return on online ad spend
• 5% higher cost value reconciliation
Using MoEngage, the team identified abandoned customers and what products they abandoned. On establishing customer intent, they segmented them based on LTV and behavioral actions. The team then engaged customers across email, SMS and Web Push using Flows, along with personalization using DPM.
The team further utilized MoEngage Analytics to see customers’ wishlist items, product searches, and understand fabric preferences. On identifying that 95% of drop-offs who had wishlisted a product actually had the intent of buying it, the team created smart-triggered Flow campaigns to target them.