Deal Share.pptx
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This document outlines key metrics and data points to collect across the customer journey from awareness to post-purchase retention. It recommends collecting data at each step of the user journey to identify problems. It also recommends considering demographic and behavioral differences between cities, optimizing marketing channels, offering cart-based discounts, expanding cash on delivery options, and using recommendations and past purchase data to increase sales. Data collection and analytics can provide insights to improve performance.
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Deal Share.pptx
- 1. Awareness App Installation Product Selection Cart Selection Order Placement Payment Product Delivery Post Sale Retention • ATL • BTL • DM • Needs • Willingness • Availability • Onboarding • Click Through Rate • No. of new Downloads • Categories • SKUs • Delivery time • Price point • Bounce rate • Average time spent on app • Conversion rate • Item finalization • Stock availability time • Shipping cost • Average stay time in cart • Cart abandonmen t rate • Delivery address book • Made pay • Payment options (Net banking, Card payment, UPI • Training of delivery executive • Failure transaction rate • Right product at right time • Returns and Refund, Net Promoter Score, Customer Reviews • Prior Experience, Trust on App • NPA, Percentage of repeat user, Frequency of repeat user User Journey
- 2. Important data points should be collected • Voice of consumer: What consumers are talking about deal share in social media platform • Feedback & Review: Complaint raised by existing customer • Change in website: Before and after, if we have changed some feature in our website • Market penetration of competitors in Jaipur vs Ahmedabad • Timing of launch in Ahmedabad, competitors already captured the market share
- 4. Recommendations • We should collect data from each step of user journey, so that we can definitely say that problem exists in this step. • We also need to consider demographic difference between Ahmedabad & Jaipur, Consumer behaviour of two different cities • Channel Optimization • To increase average revenue, offer can be given on cart value rather than on individual products • Cash on delivery on each pin code, because of trust factor of new company like deal share. • Increase the value of product • Give recommendation of products on cart selection page • Collect and evaluate data points of each step of user journey