Omnichannel Repeat-Purchase Features to Grow Walmart Grocery Lifetime Value

Walmart wants to increase customer lifetime value (LTV) in its grocery business. Develop a strategy, and the features that carry it out, across Walmart's channels (stores, website and app) that get shoppers to buy their groceries from Walmart again and again. The features must be able to scale, and scalable digital solutions are preferred over anything that requires investing in physical infrastructure in stores. Explain which customers you would target, which features you would build and in what order, how you would roll them out, and how you would know LTV is rising. ```hint Find the weekly habit Grocery shopping repeats on a rhythm. Look for the points in that rhythm where shoppers waste effort or drift to another retailer, then ask which of them a digital feature could fix whether the shopper buys in a store or online. ``` ### Clarifying Questions - Which market should we focus on first, and over what horizon: features that ship this year, or a multi-year bet? - Which part of LTV matters most here: how often households buy, how long they stay, how big their baskets are, or the margin on each order? - Can we build on Walmart's existing app, website, pickup and delivery, or should any of those be treated as out of scope? - Is there a priority customer segment, or is that our call? ### What a Strong Answer Covers - A breakdown of grocery LTV into its levers, and which of them repeat-purchase features actually move - A chosen segment with its pain points mapped across the shopping journey, in stores and online - Digital features that connect the channels and build repeat habits, prioritized by impact and effort and consistent with the preference to avoid new store infrastructure - Leading metrics linked to LTV, guardrails on margin, cost to serve and customer annoyance, and a way to measure incremental impact - The trade-offs and risks of discounts, automatic orders and the use of purchase data ### Follow-up Questions - LTV takes a year or more to observe. How would you judge within one quarter whether a feature is working? - A recurring-order feature raises order frequency, but cancellations climb after the third delivery. What would you investigate and change? - How would your plan change if margin per order, rather than revenue, were the binding constraint?