Startup fundraising begins with family and friends and then expands to the founders’ network.

In that part of the fundraising, founders will engage those they know well.

Half the reason these investors join the round is to help the founder.

After this group is exhausted, the founder draws the circle wider and starts to encounter investors they don’t know.

These investors will be more difficult to close because they don’t have a relationship with the founder already.

They will make an investment decision based solely on the merits of the business.

For this stage, founders will need to use AI and data tools to identify the most viable investors for their deals.

Founders will need to find those investors who fit their deals based on revenue, sector, and stage.

AI and data analytics are key tools to use in this part of the fundraising.

AI can search large amounts of data to identify the right investors to pursue.

The funds flowing through the industry are moving every day.  

It’s important to have the latest data on who has dry powder and who may be looking to invest.

Consider the use of AI and data analytics for your startup fundraising.

 

Thank you for joining us for the Startup Funding Espresso where we help startups and investors connect for funding.

Let’s go startup something today.
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Thank you for joining your host Hall T. Martin with the Startup Funding Espresso — your daily shot of startup funding and investing.
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Disclaimer:
Hall T Martin is the director of Investor Connect, which is a 501(c)(3) nonprofit dedicated to the education of investors for early-stage funding. All opinions expressed by Hall and podcast guests are solely their own opinions and do not reflect the opinion of Investor Connect. This podcast is for informational purposes only and should not be relied upon for the basis of investment decisions.