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Adsata

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Discover Adsata, the innovative webcam eyetracking tool that offers real-time insights to enhance user experience and optimize conversions.

MarketingFreeFree tier
Inputs: image
Type
Saas
Company
Adsata - Taimur Khan e.K.
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About Adsata

Adsata is a webcam-based eye tracking platform that enables UX designers, web developers, marketers, and researchers to understand how users visually interact with digital content. It uses machine learning to capture gaze data in real time directly in the browser, requiring no specialized hardware. The platform converts standard laptop webcams into functional eye tracking tools for images and complete websites. Users can create studies, collect data remotely, and analyze results through visualizations such as aggregated heatmaps, hexbins, path plots, and fixation metrics. Adsata is fully GDPR compliant—no facial recordings or images leave the participant's device. It achieves 95% accuracy within a 110–150 pixel radius of the actual gaze point, making it suitable for usability testing, conversion optimization, market research, and academic studies.

Key Features

Aggregated heatmaps showing areas of highest visual attention
Hexbin visualizations for grouped eye tracking data with adjustable radius and transparency
Path plots that reveal user navigation sequences and interest regions
Fixation metrics providing location, duration, and order of fixations
Remote online study creation and participation with any webcam
Real-time data collection with machine learning in the participant's browser
95% accuracy within 110–150 pixel radius of gaze point
100% GDPR-compliant; no facial data leaves the device
Supports studies on images and full websites
Self-hosted and enterprise solutions available

Pros & Cons

Pros
  • No specialized hardware needed; works with standard webcams
  • Fully remote, allowing participants from anywhere at any time
  • GDPR-compliant with on-device data processing for privacy
  • Provides multiple visualization types (heatmaps, hexbins, path plots, fixation metrics)
  • Reduces cost and complexity compared to traditional eye tracking setups
  • Machine learning enables real-time gaze estimation without additional software
Cons
  • Accuracy (110–150px radius) may be lower than professional infrared eye trackers
  • Requires participants to have a webcam and stable internet connection
  • Currently focused on screen-based stimuli (images and websites); limited to visual media
  • Platform is still in development and may have evolving features

Best For

UX design usability testing to identify where users lose attentionConversion rate optimization by placing key elements in high-attention areasMarketing campaign effectiveness analysisAcademic research and market research using eye tracking dataE-commerce optimization to improve shopping processesTesting design assumptions and driving data-informed design decisions

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FAQ

How accurate is Adsata webcam eye tracking?
Adsata tests show that 95% of collected data points fall within a radius of 110 to 150 pixels of the actual gaze point, with a mean of 128 pixels. This is comparable to the size of the 'G' on the Google homepage.
Is Adsata GDPR compliant?
Yes, Adsata is 100% GDPR-compliant. Eye tracking data is collected in real time using machine learning in the participant's browser. No facial codings, video recordings, or images leave the end device.
What types of studies can I run with Adsata?
You can create studies using images or full websites. Participants complete the eye tracking study remotely via a link, using their webcam. The platform supports exploratory data analysis with aggregated visualizations.
What visualization tools does Adsata offer?
Adsata provides aggregated heatmaps, hexbin visualizations with adjustable radius and transparency, path plots showing user navigation sequences, and fixation metrics that reveal location, duration, and order of fixations.
Who is Adsata for?
Adsata is designed for UX designers, web developers, media agencies, marketing professionals, online shop operators, and academic researchers who need data-driven insights into visual interaction.