---
title: Objective
slug: cja-lab/objective
docTags: 
createdAt: 2026-01-22T09:27:54.000Z
---

# 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.

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One or more **datasets**
To store the profile and event data.
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A **connection** and a **dataview**
To ingest and shape the data for journey analysis.
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A **Workspace project**
To analyse the data with the help of tables and visualizations.
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# 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.