Our Intelligence

The physical world generates signals.
We turn them into intelligence.

Most advertising still doesn't know what happens offline. Adsquare builds the intelligence layer that changes that. The data, the model and the products to make every offline outcome measurable, predictable, and actionable.

The four-layer architecture

Four layers, fused into a single model.

Raw ingredients are collected. The Real-World Data Model fuses them into intelligence. The intelligence is packaged into six commercial products. Every product is reachable through three access routes. AI can commoditize the access layer. It cannot replicate the model trained on over a decade of real-world outcome feedback.

Layer 1 · DataLayer 2 · IntelligenceLayer 3 · ProductsLayer 4 · Accessfused intoused byaccessed via
01Location data
02Geospatial data
03Purchase data
04Impression data
05Identity graph
01Store Intelligence
02OOH Intelligence
03ID-Precise Audiences
04Geo-Contextual Audiences
05Visit Data Feed
06Attribution Report
Dashboard01
API02
MCP Server03
Five distinct data types collected across 26 markets.
Six products built across The Outcomes Loop.
Interfaces that fit your stack.
Real-World Data ModelIntelligence engine
Layer 1 — Raw Ingredients5 data types

The signals collected at scale.

Location data, Geospatial data, Purchase data, Impression data, Identity graph — five distinct data types collected across 26 markets.

fused into ↓
Layer 2 — The IntelligenceThe moat

The Real-World Data Model.

The fusion engine. AI-powered, trained on 12+ years of real-world outcome feedback. Compounds with every campaign.

used by ↓
Layer 3 — Products6 products

Six commercial packages, one per outcome.

Store Intelligence, OOH Intelligence, ID-Precise Audiences, Geo-Contextual Audiences, Visit Data Feed, Attribution Report — each tied to a stage of The Outcomes Loop.

accessed via ↓
Layer 4 — Access3 interfaces

Three ways to reach the intelligence.

Dashboard, API, MCP Server — deliberately commoditized access to a non-commoditizable model.

Layer 1Data

Five data types one signal layer.

Adsquare collects five distinct data types across 26 markets. The inputs that feed the Model. Real-world intelligence starts with real-world signals. Adsquare collects five data types across 26 markets. Each one is sourced from validated providers, processed for quality, and verified for consent before it reaches the model. Together they cover where people are, who they are, what surrounds them, and what they buy.

01

Location data

SDK-derived background location signals from mobile devices, capturing where people are and where they go in the physical world.

02

Geospatial data

POI categories, weather, census. The context that turns a coordinate into information.

03

Purchase data

Offline transaction signals, capturing what is bought in the real world.

04

Impression data

Log-level records of what was served, where, and to whom. The information that closes the gap between ad exposure and offline outcome.

05

Identity graph

Resolves every signal to the right person, across devices and channels.

fused into ↓
Layer 2The Intelligence

The Real-World Data Model.

The architecture that fuses signals into intelligence.

  • 26 markets
  • 12+ years of compounded signal
  • Built around consent


Adsquare's Real-World Intelligence Engine is the proprietary system at the heart of the platform. The set of algorithms, pipelines, and learned patterns that turn six data types into outcome intelligence. It is the layer which makes every data product possible.


The principles underneath.
The combination of data types, fused in ways no one else has assembled. The scale: 26 markets, 12+ years of compounded signal. Our platform was built around consent and compliance from day one. Adsquare only uses data that's explicitly consented and fully compliant with GDPR, CCPA, and other global standards.


What it does.
The Engine resolves device-level signals into precise audience segments. It scores visit patterns, geo-contextual relevance, and behavioural propensity. It runs attribution and incrementality that tie campaign exposure to real-world outcomes: footfall and offline transactions. Counterfactual baselines and expected offline conversions already power how planning, targeting, optimization and validation work today. Every campaign that runs through it generates data which sharpens the next.


Where it's going.
More predictions. More precision. More intelligence ahead of the campaign, not only during or after it. New models are already being built inside the Engine to anticipate footfall and offline transactions before they happen. To keep innovating across the Outcome Loop, with stronger predictions and richer data products at every stage. To give every decision-maker, in an agency, a DSP, or inside a brand, more ground to stand on before every decision.

Selected capabilities — running today.

Audience Intelligence

Behavioral audiences and propensity scores built from place visit patterns, geo-spatial data indexes, and purchase signals. The intelligence layer between raw ingredients and campaign activation.

Real-World Signals

Scored, structured signals that feed DSPs and AI platforms — visit data feeds, audience scores, and geo-contextual indexes delivered where the campaign runs.

Visit & Purchase Attribution

Offline conversion intelligence connecting ad exposure to real-world outcomes — store visits, destination arrivals, and verified purchases.

used by ↓
Layer 3Products

Our products, spanning the campaign lifecycle.

Our intelligence is packaged into six key products — each tied to a stage of The Outcomes Loop.

01
PlanningDashboard

Store Intelligence

Foot-traffic intelligence for brick-and-mortar brands — visit patterns, catchment areas, competitive benchmarking, audience profiles of store visitors.

Learn more
02
PlanningDashboard

OOH Intelligence

Upload OOH inventory, define an audience, score every panel hourly against movement and audience data — a ranked inventory list for smarter buying.

Learn more
03
TargetingSegments

ID-Precise Audiences

People-based activation from MAID-resolved identity. Segments built from verified real-world behavior — place visits, dwell time, frequency, offline transactions.

Learn more
04
TargetingSegments

Geo-Contextual Audiences

Location-based targeting without ID resolution. Reach audiences by real-time and historical presence in relevant commercial environments. Cookieless and privacy-safe by design.

Learn more
05
OptimizationData Feed

Visit Data Feed

Real-world conversion signals fed directly into the DSP. Traders adjust in-flight toward the highest return on the defined offline conversion event.

Learn more
06
ValidationReport

Attribution Report

Independent proof that ties campaign exposure to offline outcomes — store visits, transactions, incremental lift. Attribution + incrementality in a single comprehensive view.

Learn more
accessed via ↓
Layer 4Access

Choose the interface that fits your stack.

Our platform is built to integrate, not to lock you in. Whether you work through a dashboard, plug into an API, or reach our products through an AI agent, you get the same intelligence underneath.

The Adsquare Platform

The unified interface for Planning, Targeting, Optimisation, and Validation. Available at platform.adsquare.com.

API

Direct programmatic access for DSPs, SSPs, content and social platforms, and agency data platforms. Intelligence in your own stack, on your own terms.

MCP Server

In Beta

Model Context Protocol server. Adsquare intelligence directly accessible to AI agents, LLM-powered workflows, and any MCP-compatible application. The interface built for the AI era.

  1. We are a data company.
  2. The intelligence layer is what we're building.
  3.  The next era of advertising is why it matters now.

— The Adsquare team, Berlin · 2026