Why New Products Fail: Harnessing Sales and Marketing in Post-Human Era
summary
Case study of a 50‑person, €5M AI vendor shows what changes: product roadmap restructured from playground to POC to production, POCs budgeted as deliberate €10k losses, early-stage grants sought, and marketing retooled to lead product discovery. Tactics include external lead generators, partner research network, brand ambassadors, key‑account retargeting and heavy use of testimonials. Outcome: €100,000 monthly burn downshifted, POC = €10,000 deliberate loss, >50 hot leads generated, Asia expansion and profitability after four months.
AI-written summary · about
chapters (16)
- 0:00New product failure in AI era
- 1:32Introduction
- 3:18Superior product always wins?
- 5:50Customer centricity drives profit
- 6:53Standing out in information-rich world
- 8:41AI in hyper-personalized marketing
- 10:07Insight AI product challenges
- 13:19Marketing beyond promotion
- 15:29Engaging marketing in development
- 16:32Painkillers vs supplements
- 18:15Grants for AI exploration
- 19:20Leads and sales funnel gaps
- 20:49Closing funnel with partnerships
- 21:53Cross-selling boosts presence
- 22:36Power of testimonials
- 23:19Results after rapid transformation
related talks
27mAI Versus Traditional Product Management
17mWhy Marketing Automation Fails — And How to Fix It
51mBehavioral Product Design: Rethinking Digital Products
37mPanel Discussion: Developing with AI
01h 09mWorkshop: Product development for identifying and leveraging ML opportunities
24mReimagining B2B Sales Strategy in the GenAI Era
22mThe Smart Shortcut from Idea to Market-Ready Solution
28mAI at Work