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Economics of Matching: Why Investors trust AI Recommendations

In the rapidly changing world of venture capital investments, time is one of the most valuable resources. According to Preqin, institutional investors spend an average of 15-20 hours per week searching and analyzing startups. At the same time, the "view → meet" conversion rarely exceeds 20%. Investment fundraising turns out to be expensive: high CPI (Cost per Investment Lead) and CAC (Customer Acquisition Cost) consume a significant part of the fund.

At InvestMatch, we strive to optimize this process through AI. Our goal is to provide investors with high—quality leads with minimal investment of time and resources. In this article, we will analyze the key economic metrics that are being improved thanks to our bot, and show real-world examples of savings, confirmed by beta tests.

1. Lower CPI and CAC 

  • Traditional Soigsinvestors check company lists, view pitch decks manually, and organize dozens of meetings. The cost of one high–quality lead can reach €300-€500, taking into account the hours of analysts and negotiations.
  • InvestMatch– Automatic filtering: The bot selects only relevant projects based on specified criteria (industry, receipt size, geography).– Instant notifications: you receive a lead immediately, without delays in arranging meetings.The result: a decrease in CPI to €50–€80 and CAC by 60%.

2. Increase the conversion rate "view → meet"

  • Beta test statistics– The "offer → response" conversion rate was 82%. Of these, 47% of projects agreed to a video call within 48 hours.
  • Reasons for growth
  • Personalization: the report on each match contains 3-4 key arguments that set the project apart from the rest.
  • Active follow-up: The bot automatically recalls unread messages after 48 and 72 hours.
  • A single interface: all communications take place in Telegram — the investor does not switch between mail and messengers.

3. Saving time and resources 

  • Before InvestMatchInvestor spent up to 3 hours on a preliminary analysis of one company: reading pitch deck, searching Crunchbase/AngelList databases, preparing emails.
  • With InvestMatch, an analysis of 20-30 projects takes no more than 1 hour.– The bot aggregates key indicators (TAM, LTV/CAC, growth), forms a consolidated dashboard.– Transfers communication inside the messenger.The result: instead of 15-20 hours a week, 2-3 hours for high—quality selection.

4. Trust in AI and its transparency 

  1. Clearly define the criteria, specify 3-5 key parameters of the project so that the AI quickly rejects "noise".
  2. Evaluate matches regularly. Your reviews train the model and improve the accuracy of recommendations.
  3. Use the dashboard to track common metrics like CPI, CAC, and ROI inside the bot.
  4. Combine with your own sources Combine InvestMatch with the monthly analyst report to cross-check the quality of leads.
  5. Automate the follow-and don't lose the dialogue — keep an eye on notifications and respond immediately to suggestions.

Investing becomes more effective when the routine is transferred to AI, and you focus on choosing the best projects. InvestMatch allows you to reduce CPI/CAC, increase conversion, and save dozens of hours per month. Join the beta test and see the power of automated matching. 

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