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Atmospheric G2 (AG2) is a weather and climate intelligence company that provides market-leading weather forecasts and historical data to businesses, primarily in the energy, agriculture, and insurance/reinsurance sectors. They specialize in converting weather data into actionable insights, such as wind/solar generation forecasts, degree days for energy demand prediction, and natural gas usage forecasts. AG2 offers the AG2 Trader platform and weather data APIs, providing users with tools to assess weather's impact on markets, quantify forecast risk, and make informed business decisions. The company emphasizes accuracy, speed, and innovation, leveraging partnerships with The Weather Company and IBM to offer advanced weather solutions.

Major Markets

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DTN

AccuWeather

Top Marketing Channels

DTN

  • Events & Webinars
  • Examples: Webinars, Industry Conferences, Email Marketing
  • Campaigns: DTN Ag Summit, DTN Weather Outlook, DTN Propane Summit
  • Content Marketing
  • Examples: Website Articles, Newsletters, Blog Posts
  • Campaigns: DTN AgDaily, DTN Energy, DTN ProphetX
  • Social Media Marketing
  • Examples: Product Updates, Industry News, Thought Leadership
  • Campaigns: DTN on LinkedIn, DTN on Twitter, DTN on YouTube

Top Sales Channels

  • Direct Sales
  • Product Demonstrations, Partner Programs, Free Trials
  • ProphetX Demo, Agrible Integration, ClearAg Trial
  • Online Sales
  • Website Contact Forms, Online Subscriptions, Quote Requests
  • DTN Sales Contact Form, DTN Subscription Page, DTN Pricing Request
  • Channel Sales
  • Channel Partners, Resellers, Referral Networks
  • DTN Partner Program, Reseller Agreements, Referral Program

Atmospheric G2 SWOT Analysis

Strengths

Comprehensive data coverage

Established reputation

Integrated platform

Weaknesses

High subscription costs

Complex product offering

Limited brand recognition outside core markets

Opportunities

Expansion into new data streams

Develop new analytics tools

Leverage AI for enhanced forecasting

Threats

Changing weather patterns

Increasing data costs

Competition from specialized providers

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