The Human Exposure Graph
Finally, A deterministic view of real advertising exposure across people, platforms, and time.
Beatgrid continuously maps how campaigns are actually experienced in daily life.
This creates the Human Exposure Graph — the ground-truth dataset powering modern media decisions.
Hybrid Mobile Audio Recognition:
Fingerprinting + Watermarking
Audio Fingerprinting
Fingerprinting detects advertising content by matching audio signatures to Beatgrid’s reference database.
It enables consistent ad detection across TV, CTV, streaming platforms, YouTube, radio, and digital audio.
Fingerprinting answers one core question: Which ad was the person exposed to?
Audio Watermarking
Beatgrid’s proprietary watermark embeds a lightweight signal into advertising audio to differentiate media channels and platforms.
Unlike traditional systems that encode full content information, Beatgrid separates channel identification from content recognition.
This makes exposure detection significantly more reliable and CPU-efficient.
Why This Architecture Changes Measurement
Mobile devices present unique technical constraints.
Battery usage, background processing limits, and environmental noise have historically restricted the accuracy and scalability of smartphone-based ACR.
Hybrid recognition removes these trade-offs.
By distributing detection tasks across fingerprinting and watermark signals, Beatgrid achieves:
Higher exposure certainty
Lower device resource consumption
Greater robustness in real-world listening environments
This makes large-scale passive cross-media measurement operationally viable.
Efficient Detection on Mobile Devices
Beatgrid’s SDK is engineered for real-world panel conditions — accurate detection without compromising the user experience.
Low Battery Impact
Optimized audio sampling routines consume minimal CPU and battery, enabling continuous passive detection across long panel sessions.
Large-Scale Panel Deployment
Built to operate across tens of thousands of opted-in panelists simultaneously, delivering statistically robust reach and frequency data.
Smartphone-Based Cross-Media Measurement
One meter device. Every channel. The smartphone becomes the universal measurement device for the entire media landscape.
Human Data for AI-Driven Advertising
Media planning and optimization are increasingly driven by algorithms. However, many AI systems still rely on modeled exposure data or platform-reported metrics.
Beatgrid provides real human exposure signals.
Hybrid ACR generates fresh campaign-level data used to improve:
Media allocation decisions
Cross-platform frequency control
Creative performance learning
Outcome-based campaign optimization
As advertising becomes more automated, trusted exposure data becomes a foundational input.
Privacy-First by Design
No recording of conversations
Audio signatures cannot be reconstructed into intelligible audio
On-device signal processing minimizes data transfer
Explicit panelist consent and full opt-out control
The system identifies advertising exposure — not personal behaviour or spoken content.
Trusted by Global Advertisers
Beatgrid technology supports campaigns for leading brands and platforms including Google, McDonald’s, Sanofi, and Coles.
These organizations use Beatgrid to understand how advertising performs across fragmented media ecosystems.
Google Case Study
Google used a single-source ACR panel to measure cross-channel reach, frequency, and brand impact across media campaigns.
Sanofi Case Study
Sanofi used BVOD to drive incremental reach, achieving 37% target audience reach and improving campaign efficiency across TV channels.
Cinema First Case Study
Cinema First used Connected TV to achieve 100% incremental reach, expanding audiences beyond BVOD and driving strong campaign engagement.
McDonalds Germany Case Study
McDonald’s Germany combined linear and Connected TV to boost app registrations and reveal younger audiences through cross-media measurement.
Belong Case Study
Belong used cross-media measurement to optimize TV buying strategy, improving efficiency and delivering significant cost savings across campaigns.
Vevo and Mini Case Study
Vevo expanded reach among younger audiences, delivering twice the incremental 18–34 viewers compared to traditional TV and BVOD.
Measure Advertising the Way
People Experience It
See how hybrid ACR enables true cross-media measurement.