Both help marketers improve attention. Only one starts with real human behaviour.
Amplified and xpln.ai both recognise that attention is on a path to become the truest human metric for media effectiveness. The difference lies in where that attention data comes from and what it enables marketers to do. xpln.ai has built an innovative platform focused on predicting attention quality for programmatic media activation, helping advertisers optimise bids and inventory selection in real time.
Amplified was built on a broader ambition: To understand, predict and improve real human attention across creative, media planning, campaign measurement and business outcomes. Where xpln.ai primarily helps marketers buy media more efficiently, Amplified helps organisations make better decisions before, during and after every campaign.
xpln.ai's technology predicts the likelihood of attention using machine learning models built from contextual and media signals, allowing advertisers to optimise inventory selection within programmatic environments.
Amplified begins from a different foundation. Our data is the outcome of direct human attention measurement combined with advanced machine learning, creating a foundation that supports:
Rather than treating attention as a bidding signal, Amplified treats attention as a strategic marketing input.
Artificial intelligence is only as good as the data used to train it.
Amplified's machine learning models are trained using one of the world's largest repositories of real human attention behaviour, collected through extensive eye-tracking research conducted in genuine media environments.
This means our predictions are anchored in observed behaviour, not solely inferred relationships between contextual variables. The result is greater confidence that attention predictions reflect how people actually consume advertising.
Amplified combines best-in-class research methodologies with market-leading attention measurement to help platform owners and media partners answer their most important commercial questions. Whether it's validating the attentive power of advertising inventory, measuring in-market brand impact, understanding audience behaviour, or uncovering opportunities through deep audience segmentation, our technology and machine learning models deliver robust, actionable attention insights tailored to each business challenge.
Across genuine media environments
Across multiple devices
Across TV, digital, social, cinema and OOH
Under real-world distraction
TV
Social
Online environments
Cinema
Out of home
Many predictive attention platforms produce a single attention metric.
Amplified provides a richer understanding of audience behaviour through:
The moments where people are consciously processing the advertising.
The time viewers spend looking near, but not directly at your ad.
Moments where the advertising simply isn’t working.
How far genuine attention travels — and how quickly it falls away.
Understanding why attention changes is just as valuable as understanding how much attention was achieved.
AttentionAI combines sophisticated machine learning with real behavioural science to predict creative performance before campaigns launch.
xpln.ai has built an impressive platform for attention-based programmatic activation. Amplified supports a significantly broader marketing workflow. Our data enables organisations to:
Predictive model
Limited
Focused on media quality
Limited
Limited
API integration
Limited
Primarily digital/programmatic
Machine learning methodology
Both platforms recognise the importance of attention in modern media planning. The comparison above reflects differences in product focus and primary use cases.
Programmatic optimisation is valuable. But optimisation is only one stage of the marketing lifecycle.
Machine learning has transformed marketing. But its effectiveness depends on the quality of the behavioural data behind it. Amplified combines:
Into datasets designed to help organisations make smarter marketing decisions.
It’s the difference between optimising media
and optimising marketing.
xpln.ai helps advertisers identify inventory that is more likely to generate attention.
Amplified helps marketers understand how attention is created, how it changes, how creative influences it, how media amplifies it and how it drives business outcomes.