Website Wealth, with Philippa Gamse

One of the best known events in the modern Olympics is the High jump. Since its dawn in 1896 all jumpers used the same technique. They would run towards the bar, then begin their vault by putting one leg over, or trying to go head-first over the bar. But someone came to the 1968 Mexico City games, who couldn’t win on physicality, but who did have a hack no one had thought of. 

 

That person was 21 year old American Dick Fosbury, who you wouldn’t find anything notable looking back at his track career.  Back in high school he’d struggled to master  all the motions used in the high jump; and coaches noted how little he practiced; when time came for track meet qualifiers, his jumps came up short. 

 

But when he got to University for civil engineering, he began to experiment with other ways of jumping. In his studies he learned that our ability to jump is limited by our centre of gravity. Lifting our whole body over a bar at the same time demands that we raise our centre of gravity to that same height. So Fosbury analyzed to see if there was a way to get a human over the bar one part at a time, which temporarily moves our whole centre of gravity to somewhere below us, even below the bar. That means that without jumping any higher, we can clear a higher bar – it’s playing a trick on physics. 

 

Fosbury used the technique selectively for 2 seasons because his coach still went by the tried-and-true technique, and the heights he cleared got higher & higher. It wasn’t until a month before Mexico City that he secured him a spot on Team USA. 

 

The Olympics was the first moment where everyone saw Fosbury’s new  backflip maneuver – the press coined it the Fosbury Flop. Everyone also noticed his performance – he didn’t miss a jump right up to the metal round.  I bet as international competitors watched him advance while they hit the bar must have felt pretty disarmed by that flop. The bar was raised in the finals to  2.24M or 7 ft 4¼ in, higher than at any games before. Fosbury missed on his first two attempts, but cleared on his third, winning the Olympic gold medal and broke the Olympic record 

 

Ever since, this back-first technique has been the obvious way every jumper has used. Fosbury’s style so clearly solved the high jump problem, we don’t even question it.   

 

Lots of problems seem unsolvable until an obvious solution is posed. It’s a phenomena today’s guest commonly sees on websites. Her recently-launched book puts it this way: “The solutions we implemented may seem obvious in hindsight, but the problems and opportunities remained hidden until we analyzed their data in depth-and that’s the point!”

 

Our guest has spent 25 years teaching  digital marketing strategy and analytics at business schools and consulting to companies whose websites generate hundreds of millions of dollars. She is the author of “42 Rules for a Website That Wins” and came out in 2025 with “Website Wealth: A Business Leader’s Guide to Driving Real Value from your Analytics”. Let’s go to Northern California to speak with Philippa Gamse. 

 



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The Path to AGI with John Thompson

The Path to AGI

Episode 215

Artificial General Intelligence is a term that most of us have heard, a good number of us know how its defined, and some claim to know what it will mean for the average marketer. Here’s what OpenAI’s Sam Altman said “It will mean that 95% of what marketers use agencies, strategists, and creative professionals for today will easily, nearly instantly and at almost no cost be handled by the AI.”

What nobody knows for sure is when it will be here. Some said that GPT5 would herald the dawn of artificial general intelligence. 

This episode is airing In mid-2025, and GPT5 has come out…and it is not widely believed to have AGI.

Our guest says AGI is a long way off, and more importantly, that it might not be the sought-for milestone we need for AI to be a revolutionary force in our lifetimes. Today’s guest takes us through what it will take for AGI to truly arrive. We also talk about  public vs private models, Mixture of Experts (MoE) models, the Branches of AI like Foundational vs generative, Agents and Agentic Workflows.

 Today’s guest  graduated from DePaul with an MBA, has headed the AI/Analytics groups at (EY) Ernst & Young, Gartner, CSL Behring and now at the Hackett Group.  

He has written several books and is here to talk about his 5th which came out in 2025. 

 So let’s go to Chicago now to speak about “The Path to AGI” with its author. Let’s welcome back for the 4th time on this show, more times than anyone else, John Thompson. 



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Shownotes

People/Products/Concepts Mentioned in Show

John Thompson on LinkedIn

John’s book, The Path to AGI

Previous episodes with John:

Explainer – How the Transformer enables models like ChatGPT

GPT-created movie about Brian Eno

IBM’s Watson winning on Jeopardy!

Coordinating several AI’s for optimal results. Reproduced with permission.

Books for the Summer Break

books for the summer break

Episode 214

It’s the middle of summer when I’m recording this; a time we don a pair of shades, a beach towel and a good book. Funnel Reboot usually shares talks with marketing book authors, but for this show I’m going to share some reads that go a little farther afield. 

Come along with me through six books that are all amazing. The subjects range between business, humanities, technology and science fiction. 

Chapter Timestamps

0:00:00 Intro

00:01:44 The Discoverers

00:12:43 Blindsight

00:19:05 How Big Things Get Done

00:24:12 Private Truths, Public Lies

00:27:41 Seveneves

00:30:01 Other SF recommendations

00:31:00 Earth Abides

00:34:57 conclusion



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Shownotes: People/Products/Concepts Mentioned in Show

Books reviewed:

The Discoverers

Blindsight

How Big Things Get Done

Private Truths, Public Lies

Seveneves

Earth Abides

Other references:

Sesame Street

Scent of a Woman

Thinking Fast & Slow, by Daniel Kahneman

Fall of Berlin Wall

Brexit

project Hail Mary by Andy Weir

David Ogilvy

Optimizing Marketing with Statistics, with Ateeq Ahmad

Optimizing Marketing with Statistics, with Ateeq Ahmad

Episode 213

Sometimes, to reach a solution, we must take unfamiliar paths. 

In the early 1940s, a brilliant mathematician named Abraham Wald left his homeland in Hungary fleeing the spectre of war. He moved to the United States, and became part of a team at Columbia University tasked in 1942 with an aspect of the war where the Allies were losing badly to the Nazis. It involved the many Allied planes that would leave from England but never return to their bases, having been shot down somewhere over Europe. These B‑17 and B‑24 bombers had 10-man crews, weighed up to 30-32 tonnes, had wingspans of 100-110 feet, and were defended by machine guns planted along the plane’s entire length. Despite all this, they would lose planes every day, presumably because they’d taken enemy fire and  either crashed during their campaign or as they headed back over the English Channel. 

Wald’s team had to determine how to minimize bomber losses. They had been poring over aircraft returning from missions, mapping out the distribution of bullet holes across their fuselages. Their plan seemed logical — reinforce the areas with the most damage. But Wald saw what others missed.

Wald realized their sample set of data represented the survivors — the aircraft that had taken hits and still managed to return safely. There were other planes they weren’t examining, ones at the bottom of the channel or in occupied territory, that didn’t  make it back. This lack of data could be biasing them to look at the problem backward. The planes they couldn’t sample could have  been struck in areas that were more critical. Maybe the fact they were hit in those vulnerable spots was the reason behind them crashing and that the lack of damage in those spots on the surviving bombers simply meant they’d been lucky! the returning planes weren’t the rule, they were the exception. 

Having flipped the problem around, the planes received reinforcements where the damage must be catastrophic, and from them on many more B17s and B24s completed their missions, helping the allies to victory in Europe. Some people call what Wald showed intuition, but that’s not what saved the allied bombers. Even though his approach seemed counterintuitive, data guided Wald to the solution. 

This is Funnel Reboot, the podcast for analytically-minded marketers. Today’s episode goes outside our comfort zone, showing statistical tools in the hopes we’ll get a bit more comfortable using them.

Our guest today is someone who uses the same kind of critical reasoning – and statistics – to make sense of their product marketing problems. He is both someone who implements analytics tools, having configured over 500 sites, and one who posts prolifically about what he’s learned. He has also taught analytics at several New York colleges, and speaks at regional MeasureCamp events. After earning his MBA from Pennsylvania Western University, he spent about 20 years in corporate analytics. Then in 2017 with the support of his wife and three daughters, he set up his own firm, Albany Analytics. Listen now as he teaches you some tools that might help in your own marketing programs.

Let’s now go hear from Ateeq Ahmad.



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People, products and concepts mentioned in the show

Contact Ateeq via AlbanyAnalytics.com  

Ateeq on LinkedIn

Albany Analytics on X

Ateeq on Instagram

Reactions to an Ad at each successive impression:

The 1st time people look at an ad, they don’t see it.

The 2nd time, they don’t notice it.

The 3rd time, they are aware that it is there.

The 4th time, they have a fleeting sense that they’ve seen it before.

The 5th time, they actually read the ad.

The 6th time, they thumb their nose at it.

The 7th time, they get a little irritated with it.

The 8th time, they think, “Here’s that confounded ad again.”

The 9th time, they wonder if they’re missing out on something.

The 10th time, they ask their friends or neighbors if they’ve tried it.

The 11th time, they wonder how the company is paying for all these ads.

The 12th time, they start to think that it must be a good product.

The 13th time, they start to feel the product has value.

The 14th time, they start to feel like they’ve wanted a product like this for a long time.

The 15th time, they start to yearn for it because they can’t afford to buy it.

The 16th time, they accept the fact that they will buy it sometime in the future.

The 17th time, they make a commitment to buy the product.

The 18th time, they curse their poverty because they can’t buy this terrific product.

The 19th time, they count their money very carefully.

The 20th time prospects see the ad, they buy what it is offering.

Related Funnel Reboot Episode with Tim Wilson

Statistical tests:

Correlation – are two metrics related

T-tests – when and how to use them

Chi-Square Tests and their uses

RFM Modeling – best for email marketers

Market Basket Analysis – Products bought together

Yours truly with Ateeq, co-leading a MeasureCamp session

Unorthodoxy, with Gil Gildner

Gil Gildner

Episode 212

We as consumers do a lot of things just because the people around us are doing them. For proof, look no further than some historical examples—from the 17th-century tulip bulb craze in Holland to doomsday cults and prepper movements in the lead-up to Y2K. Buying fads such as pet rocks, fidget spinners, Beanie Babies, and NFTs all show how easily prevailing thoughts influence individual behavior.

 

The science behind this is well understood. The evolutionary drive to fit in with our peers is very strong. When a group of people’s purchases are plotted as a histogram, we always see the majority of them clumped near the centre – we see it so often we came up with a term for it – the Bell curve. 

 

So even when people think they are  expressing themselves, showing individuality by their brand choices, they are only veering slightly away from the norm. 

 

Hey, Glenn here—welcome to Funnel Reboot. Our guest today—who I really do think has positively impacted marketers’ careers—argues that marketers are just as susceptible to conformity as consumers are. We get caught up in prevailing marketing practices when doing our job, while ignoring better marketing options. That’s a recipe for mediocre results. 

 

Our guest is the author of three marketing books and the co-founder of an eight year old digital agency that has attracted clients whose annual spend ranges from thousands to millions of dollars. What does he credit for this marketing success? The time he’s spent on the edges of the Bell curve – doing things that most of us view as too far outside of our comfort zone. And he says to be a better marketer, you too should reject the orthodoxy of conventional marketing. 

 

Unorthodox is the name of his latest book, and I’m glad to welcome back for a second time, Gil Gildner



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A Far Side cartoon that fits the thesis of Gil’s book

People, products and concepts mentioned in the episode:

Gil’s Agency Discosloth

Gil on X

The book Unorthodoxy 

Chernobyl

LSAs (Local Services Ads)

Performance Max (Google Ads campaign using artificial intelligence)

Chris Anderson book “The Long Tail”

Gwyn Shotwell

David Thoreau’s time on Walden Pond

Peter Thiel

Galileo

Martin Luther

Aleksandr Solzhenitsyn