xpln.ai
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About
xpln.ai is an attention measurement platform designed to help digital media leaders move beyond outdated advertising metrics. By analyzing a wide array of quality variables, including scraping data, outcomes, and third-party inputs, the platform provides a clear view of how audiences actually interact with content. It replaces opaque indexes with transparent data, allowing users to see exactly where their ad dollars are going and how much attention their placements are truly receiving. Unlike many competitors that rely on basic facial coding, xpln.ai combines laboratory and distant measurement to achieve higher precision for eye-tracking data. The platform tracks attention across both traditional web environments and native social media apps, as well as CTV and streaming platforms. Once integrated, which the company claims takes only a few minutes, actionable insights are delivered within 24 hours via a comprehensive dashboard that avoids "black box" scoring. This speed allows media buyers to make real-time optimizations to their live campaigns rather than waiting for post-campaign reports. The technology is designed to be cross-channel, ensuring that campaign performance can be compared fairly across different types of media inventory. The tool serves three primary segments in the advertising ecosystem. For advertisers and agencies, it focuses on optimizing spend and boosting campaign effectiveness through higher ad recall. Marketplaces and adtech companies use it to decode inventory value and stand out in a crowded market. Finally, publishers and sales houses utilize the data to adjust pricing based on real engagement, ensuring they maximize the profitability of their inventory based on its verified efficiency. This multi-sided approach helps create a standard of value for attention across the industry. What sets xpln.ai apart is its commitment to transparency and its breadth of coverage. While many platforms operate with secret algorithms, this tool offers full access to raw data through its dashboards. Furthermore, its ability to track attention within "walled gardens" like social media and across emerging channels like CTV provides a more holistic cross-channel view than standard measurement tools. The speed of implementation and the results-driven approach, evidenced by case studies in beauty, travel, and finance, make it a robust solution for performance-minded marketers.
Pros & Cons
Uses actual eye-tracking instead of facial coding for higher accuracy.
Provides actionable insights within 24 hours of integration.
Covers a wide range of inventory including native social media and CTV.
Offers complete data transparency without opaque or hidden scores.
Integrates with over 300 partners including Google, Meta, and The Trade Desk.
Pricing information is not publicly available and requires a demo.
Focuses heavily on enterprise-level media leaders rather than small businesses.
Requires direct contact for setup and integration assistance.
Use Cases
Agency media buyers can optimize client ad spend by identifying high-attention placements and cutting low-performing inventory within 24 hours.
Digital publishers can justify higher ad rates by providing transparent data that proves the high engagement and attention levels of their inventory.
Brand managers in the skincare or beverage industry can measure ad recall and brand association to refine creative elements for better campaign impact.
Adtech providers can enhance the value of their marketplace by decoding inventory quality using precise eye-tracking metrics for their clients.
Platform
Features
• advanced eye-tracking technology
• third-party data integration
• inventory efficiency analysis
• ctv and streaming optimization
• social media & walled garden tracking
• 24-hour insight delivery
• transparent data dashboards
• cross-channel measurement
FAQs
What channels does xpln.ai support?
The platform provides cross-channel measurement across social media, walled gardens, CTV, streaming platforms, and the open web.
How does the eye-tracking technology work?
It uses a combination of lab-based and distant measurements to provide high-precision data, focusing on actual eye movement rather than just facial coding.
How long does it take to see results?
The integration process is designed to take just a few minutes, and actionable attention insights are typically available within 24 hours.
Is the data transparent?
Yes, the platform explicitly avoids opaque indexes and black-boxed scores, providing users with full, clear access to their data via dashboards.
How can advertisers benefit from this tool?
Advertisers use it to identify which media elements drive the most impact, helping to increase ad recall and brand association while reducing wasted spend.
Pricing Plans
Custom
Unknown Price• Advanced eye-tracking technology
• Cross-channel campaign measurement
• Transparent data dashboards
• 24-hour insight delivery
• Social media tracking
• CTV and streaming analytics
• Detailed efficiency analyses
• Access to quality variables data
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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