---
title: Objective
slug: lab-travel/luVp-objective
docTags: 
createdAt: 2026-01-22T09:27:54.536Z
---

# Overarching Story

In this exercise, you step outside the customer's perspective. Rather than experiencing the journey as Luma's customer, you take on the role of a **data analyst** who has been asked to investigate post-purchase behavior — specifically around the in-store pickup phase — to identify opportunities to increase repeat purchases.

# Experience it first

In the previous phases, you followed the customer through discovery, purchase, and delivery communications. Now, you shift focus: there is no customer-facing experience to design here. Instead, the work happens behind the scenes.

Using **Customer Journey Analytics**, you will analyze behavioral 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.

:::Paragraph{listStyleType="decimal" listRestartPolite="1" indent="2"}
One or more<font color="#0C121D"> **datasets**</font> <font color="#0C121D">T</font>o store the profile and event data.
:::

:::Paragraph{listStyleType="decimal" listStart="2" indent="2"}
<font color="#0C121D">A **connection** and a **dataview**</font> <font color="#0C121D">T</font>o ingest and shape the data for journey analysis.
:::

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<font color="#0C121D">A **Workspace project**</font>****
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.