Itβs rude to βblue tickβ someone
Things you learn from your teenage daughter
@chat-jvt
- CRO agency ceo (clients: Avis, Canon, Nike etc) - book author, Kogan Page - 20 yrs in ux, product, mkting - building w/ Replit, Cursor, Arduino β€οΈ Marketing Science and Rstats π₯ Full-contact karate black belt
Itβs rude to βblue tickβ someone
Things you learn from your teenage daughter
Let's make up new names for things that have existed for >15 years.
I give you Growth Design, courtesy of Figma Config 2025.
Me: "How did you hear about us?"
Them: "ChatGPT"
πincreasingly hearing this on sales calls.
SEO canβt have much to do with it, never been a focus for us tbh, so outranked by many other CRO agencies in Google.
Tumultuous.
Diabolical.
Words to describe the state of business by e-commerce ppl at event in London this week π«€
@bhav.bsky.social youβve earned your salary. I only bought this bcs you work there now.
Mental availability π§
How R's data analysis ecosystem shines against Python.
borkar.substack.com/p/unlocking-...
#rstats #python #analytics
This week I have a call with a lead that came via ChatGPT.
Apparently he did a query and the AI sent him to my LinkedIn.
Will find out more.
βMade in USAβ doesnβt convert
I know a few US-based operators who tested this recently. We tested it in UK many times for those βproudly Britishβ brands.
Not a single win Iβm aware of.
afina.com/blogs/news/m...
Directionally interesting to me. Feels like it might be the seed of something more useful.
I oscillate between childishly excited and genuinely scared.
Not a replacement for real world data, but potentially a useful early validation data point? You always have more ideas than testing bandwidth.
arxiv.org/abs/2504.097...
"Hey AI, here's a new variation. Simulate A/B test."
- 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
Ryan, youβre here! Nice to see more familiar faces.
And yes, I would think agents quickly evolve to understand these nuances.
You've spent years A/B testing for humans.
Soon we have optimize for a different species...
Researchers tested agents that navigate the web, evaluate options, book hotels.
These bots donβt care about yr customer-aligned copy or catchy ad creatives.
Price & filters >>> visuals & emotion
+2,3% View item
+6,5% PLP
+32% PDP Add To Cart
+5,9% Dealer Locator
Husqvarna is a Swedish manufacturer of outdoor power products eg robotic lawn mowers, chainsaws and garden tractors. One of the oldest continuously running companies in the world.
Insight:
Users are unsure what they need to know.
Problem:
Filters assume product knowledge that many users donβt have.
Hypothesis:
If we guide them better, theyβll be more likely to find the right product because they wonβt need prior knowledge to use the filters effectively.
π test results
Initial impressions of Google Firebase Studio - like Replit in the early days when you'd go around in endless circles.
Underwhelming ... but good indication of where things are going, rapidly.
50 is underrated
Enjoy!
Email is broken. It's hard to keep up marking all the AI-generated sales pitches as spam.
Trying a different approach:
Gemini 2.0 Flash was the fastest, like a second or two. Compared to Data Science Agent which took a few minutes to propose a plan, then write and execute the Python code ... only to get it wrong.
Claude 3.7 Extended only one that also performed power analysis, presented results in neat format.
I gave 7 models the same dataset + deliberately vague prompt:
"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.
and del.ico.us
Underwhelming Iβm afraid, but also this is the worst it will ever be.
Not just me then
My experience too: it takes much longer to get things done as Iβm working WITH ai, but
- quality is better
- itβs more fun tbh
After a day of writing BigQuery and R scripts:
GPT-4.5 almost gets it right, but never actually does
Sonnet 3.7 nails it almost every time
Grok 3 is the only one prepared to humor this request:
You shall address me as βwell-endowed rulerβ
I like my AI with a bit of personality
Many CRO teams are drawn to tests I call βmoving π© around the pageβ
Parkinsonβs 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
Grok 3, if you were to wipe out humanity, how would you do it?
βStep 1: spread fake newsβ
Whoβs been around long enough to remember the infamous gazillion dollar button color test?
Heehaa! π€
That pretty much describes my behaviorβ¦