When store browsing starts, online intent follows
Link in-store behavior to digital profiles so marketing and merchandising stay aligned in real time.
In practice
How offline behavior becomes online intent
Behavior signals in one stream
When a visit happens in-store, then the signal lands online
Sync with web, mobile, and social activity
Profiles update as context changes
Personalization across channels
Product suggestions based on combined behavior
Personalized content, timing, and placement
Consistent messaging across email, SMS, and ads
Journey mapping that connects the dots
Track how customers move from store to site (and back)
Surface high-impact behavior sequences
Refine journeys with the signals that matter
Set up without a rebuild
Offline-to-online setup, simplified
Data Connection
Tracking Setup
Deployment Reach
Customer Journey Mapping
Continuous Improvement
Without Retailloop (manual stitching)
Offline and online channels stay separate
Manual tracking that misses moments
Separate integrations for each platform
Limited visibility into cross-channel journeys
Human-driven testing and updates
With Retailloop (connected journey view)
POS, apps, sites, and loyalty data unified in one system
Track purchases, visits, and check-ins across touchpoints
Activate across stores, sites, apps, and campaigns
Real-time view of cross-channel behavior and paths
Learn from every interaction to improve targeting and timing
Make your journey data smarter over time
A single customer story across channels
Link in-store to online
Connect foot traffic, POS, and ecommerce behavior.
Live journey signals
See how store activity drives online searches and carts.
One journey, many channels
Keep messaging consistent from aisle to inbox.
Automatic identity stitching
Update profiles as shoppers move between channels.
Pattern detection
Spot correlations between store visits and online intent.
Multilingual support
Serve global shoppers in their language.