
CCA Annual Convention 2022
This event is the only North American event to focus exclusively on smart strategies, technology innovations, and business opportunities for carriers within the mobile world.

HB Reavis operates some of Europe’s busiest shopping centers, spaces visited by thousands of people every day. But even with strong traffic, they struggled to know when shoppers were most likely to engage with events and promotions.
Events are one of their biggest footfall drivers. When successful, they can deliver double-digit growth in visits. But a reliance on mass marketing created a new problem:
Shoppers were tuning out, and every irrelevant impression risked hurting the experience and reducing ROI for retailers.
To improve engagement and drive more relevant footfall, HB Reavis needed deeper insight into shopper behavior and, crucially, the exact moment each audience was most likely to respond.
They partnered with Intent HQ to test Edge AI’s Best Moment to Engage capability across two key shopper groups:
The difference between traditional timing and AI-optimized timing would quickly become clear.
With Best Moment to Engage, HB Reavis gained a precise, privacy-first way to reach shoppers at the right time.
Using consented on-device signals, Edge AI detected real-time behavior and location context to identify when each audience was most receptive.
No assumptions.
No broad segments.
No personal identifiers.
All signals were processed securely on-device, ensuring full privacy compliance.
For the marketing team, this represented a major shift, from guesswork to precision:
This enabled HB Reavis to improve the use of shopping center resources and drive more relevant footfall to retailers.

The uplifts were immediate:
16% Click-Through Rate
+287% compared to their 4–7% baseline
Engaging audiences at the right moment delivered stronger event participation, better customer experiences, and increased sales opportunities for retailers.
The campaigns also drove consistent improvements across every key engagement metric.
