Collecting Zero Party Data To Personalize Customer Journey With Jon Ivanco Artwork

No Hacks: Optimising the Web for AI Agents

Your next million website visitors won't be human.

AI agents are already browsing the web. Comparison shopping, researching products, filling out forms, booking travel, extracting information. And most websites are completely unprepared. Navigation that makes sense to humans confuses agents. Checkouts break. Critical information is invisible.

No Hacks is the podcast about this shift. We explore how to optimise websites for AI agents: what breaks, what works, and what companies need to do now to stay visible in an agent-driven web.

Hosted by Slobodan Manic (slobodanmanic.com), consultant and speaker on Agent Experience Optimisation (AXO).

New episodes weekly. Subscribe to the companion newsletter at nohacks.substack.com.

All Episodes

No Hacks: Optimising the Web for AI Agents

Collecting Zero Party Data To Personalize Customer Journey With Jon Ivanco

January 18, 2022 • Catherine Quiambao and Slobodan Manic • Episode 48

Jon Ivanco is a Customer Experience Consultant and Co-founder of Formtoro, a company focused on unlocking up to 38x more data on your users. If you want to learn what zero-party data is and why you should care about it this is the episode for you. Jon shared his insights on personalizing your customer journey and emphasized how data collection should be the first step to help influence your strategy.

Jon also answered questions from some of our listeners/network:

Juliana Jackson: What do you think about companies that swear by CLV as the main growth lever for e-commerce brands and completely ignoring each brand's business model?
Jeremy Epperson: Why do you think there are only really 2 measurable points of intent in a customer journey?
Lukas Petrauskas: What are the lowest and highest-hanging fruits regarding zero party data utilization for $1MM+ e-com companies?

Links in this episode:

If you learned something new today, we would appreciate it if you can leave us a review on your favorite podcast platform.

---
If you enjoyed the episode, please share it with a friend!