Shravan Madhavan

Led competitive analysis for 3 major product categories by tracking emails, navigation, promotions, and product features of competitors; recommended best in class customer engagement strategies • Devised strategy to increase conversion for cards by identifying growth areas in navigation experience, relative pricing, and promotions; increased average selling price by 10% and revenues by $30 million • Developed product improvement roadmap for $200 million Photo Books category, by performing gap analysis and incorporating industry best practices; optimized customer journey time by 40%

Led a team to develop measures of success for an AI/ML system launched by Intel to predict channel partner's interest in products; helped recommend relevant product offerings to over 1000 partners • Created 3 step framework of ecommerce map, confusion matrix and gain-lift charts to measure KPIs such as average revenue per user; identified cost of recall and cost of precision as ROI metrics • Collaborated with Intel analytics team to devise scorecard incorporating all the metrics into three areas: Sales, Engagement and Accuracy; improved predictive accuracy by 15% and product adoption by 20%

Developed Integrated marketing plan to create a network effect on target audience by developing "Know your leather" blogs, social channels, and implementing SEO; increased organic visits by 40% • Nurtured and converted leads into customers by executing SEM strategy of identifying negative keywords and optimizing key metrics such as homepage landing conversion; upscaled revenue by 50% • Resolved customer pain points in navigation by installing online customer feedback tracking tool and included CTA buttons to simplify purchase journey; reduced market research cost by 25% • Implemented a marketing attribution model using Google Analytics, conducting A/B tests on promotional, and optimizing ROI of marketing channels; increased funnel conversion rate by 25% • Developed market penetrating cost-price strategies for business cardholders by conducting customer insights study, forecasting demand, and identifying product mix; drove customer retention by 20%

Spearheaded data hygiene by using error handling in SQL, executing a POC to identify best practices and resolving batch processes to improve data flow; drove account generation for client by over 35% • Developed an Incident management tool to optimize issue resolution process by analyzing SLA to build architecture and automating service requests, reducing turnaround time by 40% -- --