01 / CUSTOMER GROWTH
Affinity-led customer growth
Purchase-affinity views and ranked category recommendations to support customer campaign planning.
Delivered: analytical views and recommendations
MY CONTRIBUTION
Purchase-affinity analysis and business recommendations
TIMELINE
2025–2026
TEAM & SCOPE
Customer growth · Category stakeholders
01 / Context
At Flipkart, my work includes analyzing customer purchase behavior to support cross-category growth. This initiative used next-purchase relationships to help business teams identify relevant campaign opportunities.
02 / Problem
A previous purchase can indicate a useful next category, but a broad campaign does not account for those relationships. The analytical task was to identify relevant cross-category opportunities and make them usable for business teams.
03 / Approach
I prepared category-level affinity views, ranked destination categories and organized recommendations for stakeholders. The work included repeated analyses for different periods and business questions.
04 / My contribution
I prepared category-level analytical views, ranked recommendations and stakeholder handoffs. This contribution sat within a broader business approach, with campaign delivery supported by other teams and existing platforms.
05 / Execution
The recommendations supported campaigns through push notifications and WhatsApp. I contributed the analysis used in planning; campaign teams handled downstream activation.
06 / Outcomes & status
The work produced affinity dashboards, ranked category recommendations and subsequent analytical iterations to support campaign planning.