(clients: Avis, Canon, Nike etc)
- book author, Kogan Page
- 20 yrs in ux, product, mkting
- building w/ Replit, Cursor, Arduino
❤️ Marketing Science and Rstats
🥋 Full-contact karate black belt
Have all the opportunities not been exhausted?
No, everything is constantly changing:
- consumer trends
- economic landscape
- competitive environment
Over time it spreads through the org, becomes “the way we do things”.
Things you learn from your teenage daughter
Things you learn from your teenage daughter
I give you Growth Design, courtesy of Figma Config 2025.
I give you Growth Design, courtesy of Figma Config 2025.
Them: "ChatGPT"
👆increasingly hearing this on sales calls.
SEO can’t have much to do with it, never been a focus for us tbh, so outranked by many other CRO agencies in Google.
Them: "ChatGPT"
👆increasingly hearing this on sales calls.
SEO can’t have much to do with it, never been a focus for us tbh, so outranked by many other CRO agencies in Google.
Diabolical.
Words to describe the state of business by e-commerce ppl at event in London this week 🫤
Diabolical.
Words to describe the state of business by e-commerce ppl at event in London this week 🫤
Mental availability 🧐
Mental availability 🧐
borkar.substack.com/p/unlocking-...
#rstats #python #analytics
borkar.substack.com/p/unlocking-...
#rstats #python #analytics
Apparently he did a query and the AI sent him to my LinkedIn.
Will find out more.
Apparently he did a query and the AI sent him to my LinkedIn.
Will find out more.
I know a few US-based operators who tested this recently. We tested it in UK many times for those “proudly British” brands.
Not a single win I’m aware of.
afina.com/blogs/news/m...
I know a few US-based operators who tested this recently. We tested it in UK many times for those “proudly British” brands.
Not a single win I’m aware of.
afina.com/blogs/news/m...
- LLM spins up 100k fake users
(personas based on what it knows about yr users)
- a sample of them interacts with yr website as autonomous agents
- standard A/B test analysis to compare performance of A vs B
- LLM spins up 100k fake users
(personas based on what it knows about yr users)
- a sample of them interacts with yr website as autonomous agents
- standard A/B test analysis to compare performance of A vs B
Soon we have optimize for a different species...
Researchers tested agents that navigate the web, evaluate options, book hotels.
These bots don’t care about yr customer-aligned copy or catchy ad creatives.
Price & filters >>> visuals & emotion
Soon we have optimize for a different species...
Researchers tested agents that navigate the web, evaluate options, book hotels.
These bots don’t care about yr customer-aligned copy or catchy ad creatives.
Price & filters >>> visuals & emotion
Users are unsure what they need to know.
Problem:
Filters assume product knowledge that many users don’t have.
Hypothesis:
If we guide them better, they’ll be more likely to find the right product because they won’t need prior knowledge to use the filters effectively.
👇 test results
Users are unsure what they need to know.
Problem:
Filters assume product knowledge that many users don’t have.
Hypothesis:
If we guide them better, they’ll be more likely to find the right product because they won’t need prior knowledge to use the filters effectively.
👇 test results
Underwhelming ... but good indication of where things are going, rapidly.
Underwhelming ... but good indication of where things are going, rapidly.
Trying a different approach:
Trying a different approach:
"Calculate if there is a statistically significant difference between Conversion Rate of Var 1 and Var 2."
Google "Data Science Agent in Colab" is the only one that got it wrong.
"Calculate if there is a statistically significant difference between Conversion Rate of Var 1 and Var 2."
Google "Data Science Agent in Colab" is the only one that got it wrong.
- quality is better
- it’s more fun tbh
- quality is better
- it’s more fun tbh
GPT-4.5 almost gets it right, but never actually does
Sonnet 3.7 nails it almost every time
GPT-4.5 almost gets it right, but never actually does
Sonnet 3.7 nails it almost every time
You shall address me as “well-endowed ruler”
I like my AI with a bit of personality
You shall address me as “well-endowed ruler”
I like my AI with a bit of personality
Parkinson’s Law of Triviality: the time spent on an issue is inversely proportional to its actual importance
Cognitive ease + illusion of productivity
This approach inevitably ends very badly
Heehaa! 🤠
Parkinson’s Law of Triviality: the time spent on an issue is inversely proportional to its actual importance
Cognitive ease + illusion of productivity
This approach inevitably ends very badly
“Step 1: spread fake news”
“Step 1: spread fake news”
Heehaa! 🤠
Heehaa! 🤠
- high abandonment tends to be a symptom of issues arising earlier in the funnel
- consequently, focusing on the checkout tries to “fix” the wrong problem
- ROI on checkout testing is tiny
- high abandonment tends to be a symptom of issues arising earlier in the funnel
- consequently, focusing on the checkout tries to “fix” the wrong problem
- ROI on checkout testing is tiny
From my early testing, GPT-4o still has edge.
Claude better on coding? I can’t tell the difference. Don’t like its attitude. Will drop my subscription.
From my early testing, GPT-4o still has edge.
Claude better on coding? I can’t tell the difference. Don’t like its attitude. Will drop my subscription.
I would love to hear your story for some research I am doing for upcoming conference talks (anonymous submissions are fine!).
Please fill out the below survey, which should only take a few minutes:
lilyray.nyc/survey-seo-t...
I would love to hear your story for some research I am doing for upcoming conference talks (anonymous submissions are fine!).
Please fill out the below survey, which should only take a few minutes:
lilyray.nyc/survey-seo-t...
Why? Do we feel that threatened?
Just takes a smartphone, curiosity to experiment and a mindset to learn.
Why? Do we feel that threatened?
They run 1,000 tests at any one time
Almost anyone in the org can run a test
- from private discussions with people at Booking
They run 1,000 tests at any one time
Almost anyone in the org can run a test
- from private discussions with people at Booking