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Nivo

Nivo provides a structured method for nature-based tourism operators to increase occupancy and sales by clarifying their offering, analyzing visitor behavior, and automating targeted marketing campaigns. Using a proprietary workflow and AI-driven tools, the company helps attractions in Mato Grosso do Sul attract more guests within 30 days, turning empty days into predictable revenue streams.

Traction –/10
HQ unknown
  • Marketing Technology
  • Hospitality & Travel Technology
  • Artificial Intelligence
  • Software Only
  • Data & Analytics
Updated 9 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Nature-based tourism operators in Brazil often have empty days and depend on word-of-mouth referrals to fill their spaces. They lack clarity about what they are actually selling and struggle to predict or attract customer flow, resulting in lost revenue and inconsistent occupancy.

Solution

Nivo provides a structured method for nature-based tourism operators to increase occupancy and sales by clarifying their offering, analyzing visitor behavior, and automating targeted marketing campaigns. Using a proprietary workflow and AI-driven tools, the company helps attractions in Mato Grosso do Sul attract more guests within 30 days, turning empty days into predictable revenue streams. The method involves four steps: designing the experience so customers quickly see its value, analyzing tourist behavior and market data to adjust the offer, activating campaigns based on real purchase intent, and using AI tools to continuously learn and improve customer acquisition. This approach replaces guesswork with data-driven decisions, helping operators achieve more movement and previsibilidade.

Target Audience

Primary customers are nature-based tourism operators in Mato Grosso do Sul, Brazil, including rural tourism experiences, outdoor adventures, pousadas, and tourism conduction services that already receive visitors but have empty days and depend on referrals.

Features

  • Proprietary four-step method covering experience design, customer behavior analysis, campaign activation, and continuous AI-driven optimization
  • AI tools that analyze, adjust, and improve how operators find and attract new customers daily
  • Cross-referencing of tourist behavior with real market data to adjust offers with precision
  • Campaigns based on real purchase intent rather than assumptions
  • Structured communication and offer organization to attract ready-to-visit customers
This profile is AI-generated and may contain inaccuracies.