Go-to-Market Strategy for an AI Product – What to Discover (Part 1 of 3)

Daniel Faggella

Daniel Faggella is Head of Research at Emerj. Called upon by the United Nations, World Bank, INTERPOL, and leading enterprises, Daniel is a globally sought-after expert on the competitive strategy implications of AI for business and government leaders.

Go-to-Market Strategy for an AI Product - What to Discover (Part 1 of 3)

When clients come to us for custom research projects, sometimes it's because it's a big firm that's looking to make acquisitions or it's a company that's looking for some kind of competitive intelligence. They're looking at who else is offering things like them and how they can position themselves against those other competitors in the market.

But a lot of the time it's a go-to-market strategy. Whether it's large enterprises or it's companies that have raised $20 million or $100 million, they've got markets to attack and decisions to make to go out and win market share.

Going to market with AI products comes along with some unique considerations. We do a lot of this work with companies, and I'm forced to think about these questions all the time as we design surveys to reach executives and poll them for these kinds of projects.

So I decided I should do a three-part series about go-to-market strategy specifically for AI-related products. We're going to talk about three themes.
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