Abhishek Kumar

Managed and communicated product roadmap for LMS. Played a pivotal role in lead distribution logic for daily 1.6M+ user intended requests. Collaborated with multiple stakeholders like Front-End, Back-End and DB and also verticals stakeholders like Real Estate, B2B vertical, Communication and sales & marketing. Defined entire lead generation system & distribution logic of Real Estate vertical for over 600+ listings and cater daily avg of 20,000 unique user requests. Designed leads scoring model for 5 lakhs+ clients based on city and category level performance parameters resulting in increased 10 % lead quantity by churning 2.7 lakhs unused leads with increased revenue around ₹ 5 Million. Spearheaded a free lead marketing campaign targeting non-paid vendors & integrated a personalized dashboard and achieved a notable 10% success rate with new onboarding. Designed response scoring system to rank JD's complaining vendors, allocating leads according to response performance, yielding a 15% increase in lead quantity and 25% reduction in complaints.

Analyzed online assessment taken by the users and processed the information to carry out structural changes in app. Contacted 300+ users for the product reviews and mapped 100+ users’ journey for analysis. Identified 4+ issues related to online assessment & demonstrated structural changes in the interface which increased the 20% completion rate on assessment.

Researched and interviewed customers and sellers for Post Sales Engagement with Gen Z smartphone usage & experience.

Mapped Client-Agency relationship for efficient productivity & streamlined product interfaces for end-to-end interaction. Built product strategy to achieve PMF by identifying gaps in client onboarding strategy and proposed success metrics. Designed wireframes to fasten process of client onboarding and improve metrics like Time-To-Value & activation rate.

Analyzed and optimized the performance of Mercedes Benz car dealers across countries; China, US, Germany & Canada. Build, run and scale new rating model to monitor the performance of automobile dealers. Devised KPI tool to efficiently analyze the performance of 200+ Mercedes Benz dealers & map compensation benefits. Developed spring-framework-based codes to analyze system-generated log files of user activities and populated JSON object oriented charts to track users’ behavior.