xpln.ai
xpln.ai is a ad attention measurement and optimisation using eye‑tracking and machine learning.
xpln.ai operates in the Unclassified segment.
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- Founded
- 2022
- Headquarters
- 176 Avenue Charles de Gaulle, 92200 Neuilly-sur-Seine, France
- Core Segment
- Unclassified
- Company Size
- 10–49
- Official Links
- Website
- Verified
- 2026-03-12
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xpln.ai: About
The company operates an enterprise ad measurement and analytics platform that converts eye‑tracking panel data and contextual signals into probabilistic attention scores at the impression level. These scores are delivered through web dashboards, integrations, and reporting used by advertisers, agencies, publishers, and adtech partners to forecast outcomes and optimise media buying based on actual attention rather than simple viewability.
Economically, the business creates value by improving the efficiency of media spend—allowing buyers and sellers to plan, trade, and report on inventory using attention time as a metric. It captures value via recurring platform or licence fees for access to dashboards and APIs, plus usage‑based or project‑based fees tied to the volume of impressions or campaigns measured, and commercial collaborations where its metrics underpin attention‑based media products.
xpln.ai: Market Position
xpln.ai is a France-based advertising measurement company focused on quantifying user attention to digital and CTV ads. It uses eye‑tracking panel data combined with machine learning models to estimate the amount of attention (in seconds) each impression is likely to receive, and exposes this via dashboards and integrations for campaign analysis and optimisation.
The company sells attention measurement and optimisation services to advertisers, media agencies, publishers, and adtech platforms. Revenue is generated through enterprise contracts for platform access (dashboards and APIs), per‑campaign or project‑based measurement fees, and partnership models where media is bought against attention thresholds so that buyers pay only for impressions that meet a predefined attention score.
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