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Mattertraffic

Mattertraffic is an analytics platform that provides real-time insights into user engagement and interactions within Matterport digital twin models. By offering detailed reporting and granular location insights, it enables businesses to understand visitor behavior and optimize their marketing strategies effectively.

Founded 20203200+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Businesses using Matterport digital twins lack detailed analytics on user behavior and engagement within those models, hindering their ability to optimize marketing strategies and understand visitor interactions. The absence of granular insights into traffic patterns and Mattertag interactions limits the potential to convert virtual visits into profitable opportunities.

Solution

Mattertraffic is an analytics platform designed to provide real-time insights into user engagement within Matterport digital twin models. It offers detailed reporting and granular location insights, enabling businesses to understand visitor behavior and optimize their marketing strategies. The platform tracks traffic to models and Mattertags, providing an in-depth view of user interactions and navigation patterns. By processing model traffic data through an easy-to-use interface, Mattertraffic helps users identify profitable opportunities and make data-driven decisions.

Target Audience

The primary users are businesses leveraging Matterport digital twins for marketing, sales, or customer engagement, seeking to understand visitor behavior and optimize their strategies.

Features

  • Real-time traffic monitoring for Matterport models and Mattertags
  • Granular location insights to identify the geographic origin of users
  • Audience demographics, including age, gender, and interests
  • Automated report scheduling and sharing capabilities
  • Navigation heatmap visualization of complex user movement patterns
  • Detailed analysis of user interactions with Mattertags
This profile is AI-generated and may contain inaccuracies.