
Inside Docket's Demand Agent: Arjun Pillai on Showroom Features, Marketing Factories, and Cracking Buyer Attention
Only 1% of website visitors ever fill in your form. Arjun Pillai built a company around the other 99%. In this episode, Alex Theuma sits down with Arjun, founder and CEO of Docket, an AI demand agent serving enterprise and mid-market B2B companies, to talk about what happens when buyers stop trusting the tools that were supposed to help them grow. Arjun shares how Docket signed its first eight design partners from nineteen cold conversations, why outcome-based pricing does not work for most GTM use cases, and what a "marketing factory" actually looks like in practice. In this episode, we explore: (01:26) Arjun defines Docket and the 99% bounce problem (02:04) Fourteen years in GTM tech and why that led here (04:07) Why vibe coding does not scale for enterprise products (05:06) The "code factory" model cutting dev time from nine days to two (07:07) The third AI use case: creating TAM, not just replacing humans (09:30) From nineteen cold LinkedIn messages to eight paying design partners (13:23) The single hardest thing about being CEO at an AI-native startup right now (15:23) The $80,000 car giveaway and how the Lucid partnership came together in three weeks (19:35) Arjun's "marketing factory" concept and what it means for your team size (23:27) Why the founders still running the old GTM playbook have a two-year window left The AI Revolution Show is the intelligence podcast for B2B software founders navigating the platform shift, the founders building through it, and the founders already on the other side. Hosted by Alex Theuma, founder of Shift AI Events. Subscribe so you don't miss the next episode. This episode is brought to you by Leapsome. For more information, visit Leapsome: https://hubs.li/Q04xm8f_0.