Jon MacDonald — Digital Experience Optimization + AI Browser Agent Optimization + Entrepreneurship Lessons | 3x Author | Speaker | Founder @ The Good – helping Adobe, Nike, The Economist & more increase revenue for 17+ years
Digital Experience Optimization + AI Browser Agent Optimization + Entrepreneurship Lessons | 3x Author | Speaker | Founder @ The Good – helping Adobe, Nike, The Economist & more increase revenue for 17+ years
Jon MacDonald ranks #290 of 19,190 LinkedIn creators in Information Technology & Services, and is a standout voice in United States. They have 19.1K followers and published 35 posts in the last 30 days at a 0.4% average engagement rate.
- 19.1K followers
- 35 posts / 30d
- 0.4% avg engagement
- 482 follower growth / 30d
The roast
Jon spent sixteen years optimizing digital experiences, yet his own LinkedIn engagement rate is currently hovering at a statistical rounding error. It turns out his mission to make conversion inevitable doesn’t apply to his own followers.
About Jon
Every bad digital experience costs you money. My mission is simple: remove them all until conversion becomes inevitable. I founded The Good 16+ years ago to turn user insights into revenue. We're the trusted Digital Experience Optimization advisory for household names like Adobe, Nike, Xerox, Intel, and The Economist. Together, we've generated hundreds of millions in additional revenue by optimizing the full digital journey from first touch to retention. I've written three best-selling books on conversion optimization and am a frequent keynote speaker at Google, Autodesk, and industry events worldwide. Also building tools for UX researchers and consultants. Currently in beta: Clipses.ai. Turn user interview transcripts into shareable video clips in minutes. Helping teams eliminate hours of rewatching footage. Folks will tell you I love to compete: I'm a former college basketball player (and still playing on a club travel team) and won the USA Jr Olympic gold medal in Taekwondo when I was 10. But, business is the ultimate sport. Book a 15-minute optimization strategy call → https://thegood.com/contact/ 📨 DM me to start improving the digital journey of your website or app… or to debate LeBron vs Jordan as the GOAT.
Highlights
- Top 5% in Information Technology & Services — Ranked #61 of 1910 creators
- Consistent Creator — 18 posts in 30d · top 5%
- Top 5% in United States — Ranked #296 of 5940 creators
- Big Audience — 19,139 followers · top 10%
Recent posts
I read 161 SaaS leaders' answers on onboarding. 1 in 6 admitted their research rarely changes the product. Our team spent months on this one. We asked product, growth, marketing, and founding leaders what actually happens in a user's first 30 days. What they measure. What they research. Who owns it. One pattern ran through every chapter. Confidence is running ahead of the evidence. Three findings I keep coming back to: Among companies with no free trial, satisfaction with first 30 days visibility hit 100%. Not a majority. All of them. 89% say every onboarding email is intentional and coor
34 reactions · 4 comments · 0 reposts
I've watched AI agents abandon purchases on real sites. But the scary part isn't the failure. It's that your analytics never see it. AI agents are already shopping on your site. A small but growing share of your traffic is no longer a person, but software acting for one. I test these agents myself, against real purchase flows. They fail far more than people do, finishing only a fraction of the tasks a human breezes through without thinking. What makes it dangerous is that when a person struggles, you can often tell. Rage clicks, a replay of them hunting for a button, or worse... an angry re
52 reactions · 24 comments · 0 reposts
We just spent 30 days living inside 30 different SaaS free trials. Same persona, same rules, every email and paywall logged in real time. Here's the finding that surprised us most: sending fewer emails does not make a trial feel better. One tool sent 26 emails in 30 days. More than anything else we tracked. It was one of the better-received sequences in the entire study. Another tool sent 12 emails over 25 days on a fixed schedule. It felt like noise. The difference wasn't count. It was whether each email connected to something the user had just done, or was about to lose. A high-volume se
4 reactions · 2 comments · 0 reposts