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Internet Research Unit
Unlock the Power of ecommerce data.

What is Internet Research Unit?

Internet Research Unit is a platform designed to deliver actionable intelligence from ecommerce data. It assists direct-to-consumer (DTC) brands, agency providers, and app developers by monitoring millions of brands and products. The service transforms raw data into valuable insights, helping users answer crucial questions about company performance and prevailing consumer trends within the ecommerce landscape.

The platform offers sophisticated tools for brand discovery, utilizing advanced filters based on criteria such as revenue, geographic location, category, technology stack, app usage, social signals, trending status, competitors, and consumer behavior. Users can perform SKU-level sales analysis, track brand revenue metrics, identify technologies used by brands, and monitor inventory changes. It aims to turn complex information into clear opportunities for lead generation, competitive analysis, and market trend identification.

Features

  • Brand Discovery: Discover DTC brands with precision using advanced filters.
  • SKU-level Sales Analysis: Analyze SKU level data for product performance.
  • Brand Sales Data Tracking: Track revenue metrics from different brands.
  • Technology Lookup: Identify and analyze tech+apps used by brands.
  • Advanced Filters: Refine searches with precise filtering options (Revenue, Geo, Category, Tech Stack, App Usage, Social Signals, Trending, Competitors, Consumer Behavior).
  • AI Smart Search: AI-powered search for relevant brands and products.
  • Inventory Changes Monitoring: Monitor product inventory at brand or category level.
  • Custom Smart Lists: Follow brands, products, and categories for fresh data.
  • Real-Time Alerts: Get notified of new data via email or Slack.
  • Integrations: Connect with tools like Zapier and HubSpot.

Use Cases

  • Lead generation for agencies and app developers.
  • Competitive analysis for DTC brands.
  • Market trend identification and tracking.
  • Investment opportunity identification.
  • Product performance analysis at the SKU level.
  • Technology stack analysis for competitor research.
  • Monitoring inventory levels across brands or categories.

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