6 min read 
The industry often treats the Open Web and Walled Gardens as two fundamentally separate ecosystems. Media planners frequently view social media and programmatic display through detached lenses—managed in silos with disconnected KPIs and fragmented data strategies.
At our recent Adzine Connect Masterclass, David Luchtenberg (General Manager DACH, Adsquare) and Alexander Nenstedt (Director Audience Management, Annalect) challenged this binary. The objective was to explore how we can marry these two disciplines using a single thread: location data.
While contextual targeting has seen a resurgence as a privacy-safe alternative to cookie-bassed targeting, it often lacks a clear view of true consumer intent. David shared a relatable example: a household where one partner begins a New Year’s fitness regime. Because they share a physical space and digital signals, the other partner is suddenly served ads for sports nutrition and gym wear.
On paper, the ad is contextually relevant because of the shared digital environment. However, the real-world intent is absent. If you look at that specific user’s physical movement, you might find they spend their time in offices, restaurants, and stores—not the gym. Without the layer of location intelligence, that ad impression is essentially wasted.
The core thesis of the masterclass was straightforward: Physical behaviour is the most robust indicator of consumer intent.
Consider the automotive sector. A consumer might spend hours in a web configurator building a luxury sports car. While this is a signal of interest, it isn’t necessarily a signal of intent to purchase. Conversely, a user who physically visits three different car dealerships on a Saturday morning is demonstrating a concrete decision-making process.
Where people go matters. It tells us more about an individual’s authentic interests and intent than a search query or a website visit ever could.
— David Luchtenberg, General Manager DACH, Adsquare
By leveraging ID-Precise location data, built on consented and pseudonymised Mobile Advertising IDs, marketers can map actual customer journeys. This allows for:
Through Data Clean Rooms and advanced spatial technology, Adsquare and Annalect demonstrated how Place Visit data acts as the connecting element.
By using a consistent, location-based intelligence layer, brands can bridge the online-to-offline gap. For example, they could activate a specific audience—such as “Luxury Fashion Shoppers”—on Social and immediately measure the offline uplift across the entire programmatic mix.
Real world intelligence provides a clear understanding of audience concentration at specific locations and times, enabling planners to activate the right screens and devices during the most impactful moments.
Success will belong to the brands that stop viewing Social and Programmatic as separate worlds and start treating the consumer’s real-world journey as a single, unified narrative.
Real world signals offer more than just a workaround for a cookieless world; they provide a new foundation that is privacy-first, contextual, and scalable. By bridging the gap in the wall, marketers can finally connect digital campaigns with the physical outcomes that drive business growth.
Tap into the full potential of privacy-first targeting by speaking with one of our experts. Discover how Adsquare can help you connect digital campaigns with real-world outcomes.