Madhavan Ramanujam: recommendation

Transcript context

…Okay. So is there anything else along these lines that you think companies, especially AI companies, should be thinking when they're thinking about pricing that you'd want to share before we move on to other stuff? I think we've covered most of the topics. Like we said, it's being thoughtful about POCs, choosing the right pricing archetype or the pricing models. Those things become very critical in the early stages. But when you start scaling and, let's say, you become a multi-product company, then you need to start focusing on, "What kind of packaging strategy should I have? Is it a platform plus add-ons? Should I have versions of the products like good, better, best? Should I tackle different use cases because now my AI can solve an insurance use case and a healthcare use case? Should I productize to different use cases? Is that my packaging strategy? Or should I keep it completely modularized for people to pick and choose? " So these kind of questions become more critical, and that's why the chapter on blowing up your packaging from your early days and coming up with your packaging strategy for your scale-up phase become very critical. So I think that's the next thing that founders would be hit with, as in when they build multiple products, they need to think about the whole packaging, cross-selling, up-selling motion. This touches on something I was about to ask, which is a change in your pricing strategy. How often is it a success to change the way you price? I know we're talking about you need to get it right from the beginning if you're an AI company. In your experience, how often... What does it take to successfully shift the way you price down the road if people are listening to this and are like, "Shit, we already have this pricing strategy"?…

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