THE PROBLEM

When you buy an ad
impression that meets
the MRC standard

THE SOLUTION

A new metric and, ultimately,
a new currency

Capture human attention to advertising through gaze-tracking in natural settings with normal distractions. Parse the gaze data through a machine learning model to measure levels and shapes of attention.

How we collect attention

Recruit

GDPR compliant study recruitment panel

Film

Natural platform use, intercepted ad load,
5 frames/sec

Process

Footage parsed
through ML models

Metric

3 levels and 8
shapes of attention

OUR PRODUCT

From a deep understanding and rigorous set of data BUILD attention products that help brands and media sellers to optimise buying and selling of advertising.

Why Amplified Attention?

The 9 Principles of Amplified Attention

Our work is guided by connected principles

Rigorous

Academic foundation;
methodology; control.

Accurate

Accurate collection of gaze.
Test and improve error rates.

Granular

Tech developed to reach a
valuable level of granularity.

Pioneering

Leading the way in combining
ML with marketing science
theory for attention.

Inquiring

Challenging the efficacy
of accepted norms.

Applicable

Insight-led tech and tools
development feeds
industry application.

Independent

Delivering honest results
in the face of client
and industry expectations.

Authentic

Natural viewing environments.
Real human views.

Fair

Ensuring that platforms are
treated fairly in methodology.