---
title: Proof of Concept Journeys
slug: the-gap-ajo-poc-2025/proof-of-concept-journeys
docTags: 
createdAt: 2025-10-23T17:31:59.733Z
---

## UC1: [Abandoned Cart](https://experience.adobe.com/#/@adobeamericaspot5/sname\:poc12-1025/journey-optimizer/journeys/journey/e8ae77a7-ae30-40d6-9ca3-ac9c0dfd7983)

![](https://api.archbee.com/api/optimize/1Jp0iolWv35Z_mkI7oUiT/FxwGfbdNnxluv2Oqzj_gI-20251023-173752.png)

### Use Case Requirements

**Business Goal**

Re-engage customers who have added products to their cart but have not completed a purchase, using contextual triggers and inventory-aware personalization to drive in-store or online conversions.

**Use Case Description**

Triggered when a customer adds a product to their cart and abandons.

- Journey progresses only if the item remains unpurchased after a defined period.
- Once abandoned, the system validates customer consent and monitors for physical proximity (POI radius).
- When the customer enters a defined radius, the platform queries the inventory system in real time to check local product availability.
- If available, a personalized push notification with product details is sent instantly.
- If there’s no engagement within 24 hours, an SMS or email fallback is triggered.

**Target Audience**

Customers who have added one or more products to their cart but have not completed checkout within a defined timeframe.

**Data Requirements**

- Event: Add to Cart, Purchase, Location Entry (POI)
- Attributes: Customer ID, Product ID, Store ID, Timestamp, 
- Real-time integration with inventory system for product availability lookup.

**Segmentation**

- Real-time streaming segmentation using cart activity and location event data.
- Batch data from Amperity or internal systems for customer identity, and preference enrichment.

**Personalization**

- Product(s) in cart
- Nearest store location
- Inventory availability
- Channel preference

**External APIs Required:**

- Inventory API (real-time product availability)
- Consent Management (built into Adobe/tools for this is acceptable)

## UC2: [Loyalty Re-Engagement](https://experience.adobe.com/#/@adobeamericaspot5/sname\:poc12-1025/journey-optimizer/journeys/journey/6075439d-29c1-452e-ad2b-2ca7debba0e4)

![](https://api.archbee.com/api/optimize/1Jp0iolWv35Z_mkI7oUiT/BKK9JqRTbHI9TMm4XKpdi-20251023-174624.png)

### Use Case Requirements

**Business Goal**

Re-engage dormant loyalty members by personalizing outreach based on tier, engagement behavior, and product affinity to increase retention and incremental spend.

**Use Case Description**

Triggered by inactivity and loyalty tier segmentation.

- Identify profiles in Silver or Gold tier with no purchase, login, or message engagement in the last 90 days (consent required).
- Touch 1: Send “We miss you” message via preferred channel (Email or Push), personalized by product affinity.
- Wait 3–5 days for engagement.
- Touch 2: Conditional split—engaged customers move into “Loyalty Booster” journey; non-engaged receive stronger incentive (e.g., higher discount).
- Loyalty Booster Journey:
- Triggered in real time when a dormant customer re-engages.
- Touch 1: Personalized “Welcome Back” offer (e.g., 15% off).
- Wait X days, evaluate purchase behavior.
- Touch 2: For reactivated but non-purchasing customers, send an alternate incentive or content.
- Journey ends upon purchase or after 10 days with no engagement.

**Target Audience**

Dormant loyalty members in Enthusist tiers tiers with 90+ days of inactivity

**Data Requirements**

- Event data: Purchase, Login, Message Engagement, Opt-in/Consent
- Loyalty data: Tier, Points balance, Enrollment date, Last activity timestamp
- Behavioral data: Product category affinity

**Segmentation**

- Batch segmentation from Amperity (90-day inactivity, loyalty tier)
- Streaming segmentation for real-time engagement events (login, click, open)

**Personalization**

- Channel preference (Email vs Push)
- Content personalized by affinity, tier, and offer type
- Dynamic incentive adjustment based on engagement response

**External APIs Required:**

- Loyalty API (Tier, Status, Points)
- Amperity Segment API (Audience file sync)

## UC3 [Attrition (Churn Risk) Prevention](https://experience.adobe.com/#/@adobeamericaspot5/sname\:poc12-1025/journey-optimizer/journeys/journey/69c8bd2e-b229-4a4f-9569-a363eaea1656) 

([AJO Introductory Lab](docId\:XWSvnHvIYK-PK-pLJhNeo))

![](https://api.archbee.com/api/optimize/1Jp0iolWv35Z_mkI7oUiT/4j3IJ6smBIlTjOx5SR2ke-20251023-175134.png)

### Use Case Requirements

**Business Goal**

Reduce customer attrition by identifying and targeting customers with a high likelihood of churn using predictive model outputs or simulated risk scores.

**Use Case Description**

Triggered by updates to churn risk scores (batch or simulated).

- The system uses decisioning logic to tailor incentives based on risk level:
- High Risk: Aggressive offer
- Medium Risk: Moderate offer
- Low Risk: Nurture message (no offer)
- Journey is triggered when a customer’s risk score exceeds a defined threshold.
- Touch 1: Deliver message via preferred channel with dynamic content and offer details.

**Target Audience**

Customers identified through predictive modeling or simulated scoring as being at risk of churn.

**Data Requirements**

- Churn risk score or simulated model output (numeric or categorical)
- Customer ID, Channel preference, Offer eligibility data
- Event triggers for score updates

**Segmentation**

- Batch segmentation for model outputs (daily or weekly updates)
- Streaming trigger when new scores exceed defined threshold

**Personalization**

- Dynamic offer and content based on:
- Churn risk score tier
- Channel preference
- Historical engagement and purchase behavior

**External APIs Required:**

- Predictive Model API or Scoring Feed
- Offer Decisioning API (selects appropriate incentive)
- Channel API (Email/SMS/Push delivery)