What It Is
The Drive to Store / Web / App Use Case dynamically redirects each individual towards the most relevant channel for their next interaction. Instead of a generic “visit us” message, the Content adapts based on location, browsing history, app installation status, and channel preferences. For customers near a physical store, it shows store-specific information (hours, services, stock availability). For app users, it deeplinks into the app. For web-preferred customers, it links directly to relevant product pages.Key Challenges Addressed
This Use Case addresses 6 Key Challenges across 3 categories:| Category | Challenges addressed |
|---|---|
| Omnichannel Experience | Convert intent into store visits, coherent omnichannel experience |
| App Download | Drive app downloads, convert downloaders to active users |
| Base Engagement | Extend CRM consents, app adoption |
Required Datasources
| Datasource | Fields used | Role |
|---|---|---|
| CRM 360 | Preferred channel, location, app status | Channel selection |
| Store | Store address, hours, services, events | Store-specific Content |
| Stock & Availability | Product availability by store | ”Available at your store” messaging |
| Navigation | Recent browsing, viewed products | Intent context |
Required Capabilities
| Capability | Role in this Use Case |
|---|---|
| Drive to Store | Personalised store communication with hours and services |
| Recommendation Engine | Products available at the customer’s nearest store |
Example Implementation
Workflow Logic
What the Customer Sees
- Store customer: “The jacket you viewed is available at Paris Marais — open today until 20h. Try it on?”
- App user: “Tap to open in app — app-exclusive price: €79 instead of €95”
- Web customer: “Free next-day delivery on the items you browsed”
- Lapsed app user: “Your app has a new feature — scan in store for instant price check”
Measuring Incremental Value
| Metric | How to measure |
|---|---|
| Store visit attribution | Tracking code scanned in store after email exposure |
| App open rate | Deep link click rate for Exposed vs Non-Exposed |
| Channel migration | % of mono-channel customers becoming multi-channel |
| Revenue by channel | Revenue uplift per channel for Exposed vs Non-Exposed |