Objective
Overarching Story
In this lab, you take on the role of a data analyst at Luma. You have been asked to investigate post-purchase behavior — specifically around the in-store pickup phase — to identify opportunities to increase repeat purchases.
Using Customer Journey Analytics, you will analyze behavioural data from Luma's post-sale phase. The goal is to understand how customers behave after choosing in-store pickup — and whether that moment represents an untapped opportunity to drive repeat purchases.
What is needed
This is what you need to configure in Adobe Experience Platform to enable this analysis.
- One or more datasets To store the profile and event data.
- A connection and a dataview To ingest and shape the data for journey analysis.
- A Workspace project To analyse the data with the help of tables and visualizations.
Why this matters for marketers
As a marketer, you want to shorten the time between purchases and increase conversion. With AEP and Customer Journey Analytics, you can identify behavioral patterns across delivery channels to uncover high-engagement moments - like in-store pickup - and turn them into targeted opportunities that drive repeat purchases and grow customer lifetime value.