As presented at MAD//Fest 2026

Lazy shoppers aren’t lazy. They’re being served better somewhere else.

The Lazy Shopper Framework shows you exactly where your website loses them, and the three moves that take back control of your customers.

Featured in Retail GazetteGoogle Cloud Partner

It asked one question back, then sold the whole outfit. That’s the framework working.

Hands up if you own black jeans.

Keep your hand up if you can name the cut. Go on, pick it:

The problem

Confused customers don’t convert.

Three ways sites lose the sale. Look familiar?

Search results page showing 5,056 styles found for white shirt, with a filter list of ten style options5,056 styles found10 filters in ‘style’ alone
Analysis paralysis. A search for “white shirt”. Five thousand options, zero guidance, and a filter for every cut your customer can’t name.
Storefront search for summer suit for a wedding returning no results0 results. 0 upsell.
The dead end. The products exist. The site just can’t understand the question.
Shopper staring at a giant wall of car bulbs in-store, phone in hand
Feels familiar. Online, most sites are still a wall of bulbs with a search box bolted on.

The shift

Everyone built websites for the Researcher. Your customer is now a Discoverer.

Yesterday

Keith, “The Researcher”

How he finds you
Google search
What he types
Keywords: “[brand] black blazer”
What he expects
A list of products he can compare himself
Today

Khloe, “The Discoverer”

How she finds you
TikTok, YouTube Shorts, AI chat
What she types
Conversations: “What top goes with these trainers?”
What she expects
An answer, a how-to, and the thing that goes with it

Meet the villain

Every shopper now has a personal advisor. You’ve never met it.

More and more buying journeys now start with a question to ChatGPT, Perplexity or Google’s AI Mode, not a visit to your site. The advisor answering it:

  • Asks no follow-up questions
  • Might recommend your competitor
  • Answers before shoppers ever reach your site

If you’re not the brand AI cites, you’re the brand AI replaces.

Ash Maloney presenting on stage at MAD//Fest 2026
“SEO was getting Google to fancy you. Now you’ve got to get the robots to fancy you too. Same game, more robots.
Ash Maloney, on stage at MAD//Fest 2026

The good news

The “old” way is the “new” way again. The shopkeeper is back.

The best retail experience ever invented is a knowledgeable human behind a counter. AI finally lets your website behave like one, at scale. Boots is already doing it.

Listens to the actual question

“Help! I have dandruff” beats browsing 400 shampoos.

Recommends like an expert

Right products, honest guidance, and a pharmacist when it matters.

Sells the whole solution

Delivery options, alternatives, the thing that goes with it.

Boots AI Assistant answering 'Help! I have dandruff' with product recommendations

Boots already does this: ask about dandruff, get answered the way a pharmacist would.

(Not affiliated - just a great example)

The framework

Three moves to win the conversational customer

The framework scores your site on all three. Hover or tap each move to watch it work on a real build.

Concept storefront with natural-language search, AI insight summary and intent-based recommendations

The demo build from Ash’s talk. Every move, one page.

Try it now

How does your site score?

Three of the twelve checks from the scorecard. Takes 30 seconds. Be honest, nobody’s watching.

Check 1 of 3

Can a shopper ask a question anywhere on your site and get a useful answer?

Check 2 of 3

Do you know what shoppers asked for last week that you couldn’t answer?

Check 3 of 3

Search “smart suit for a summer wedding” on your site (or your category’s version of it). Do relevant products come back?

Why trust it

The framework comes from work we’ve shipped

9x
increase in daily site searches
Hammerson
241ms
AI search response time
Hammerson
15 wks
to a production AI booking assistant
Direct Ferries
2-3x
higher conversion from conversational search vs keyword filters
Firney research
“The increase in daily search volume has far exceeded expectations.”
Clare Cooper, Senior Growth Marketing Lead, Hammerson PLC
Direct Ferries AI booking planner on a phone

We built this for Direct Ferries. It’s live now, answering thousands of questions a month.

The people behind it

No juniors, no handoffs

Built by the team that engineers product discovery for brands like Hammerson and Direct Ferries. The people on this page do the work.

Ashley Maloney presenting the Lazy Shopper Framework on stage at MAD//Fest 2026

Ashley Maloney

Co-founder & CTO

Presented the Lazy Shopper Framework live on stage at MAD//Fest 2026.

Marc Firth, Co-founder and CEO of Firney

Marc Firth

Co-founder & CEO

Engineers for marketers: helped grow Jellyfish's engineering team from 10 to over 100.

Helena Georgiou, Project Manager at Firney

Helena Georgiou

Project Manager

Runs delivery on every build this framework comes from.

What lands in your inbox

The talk, turned into a tool

The framework, in full

Where your site loses the Discoverer, in a short, focused read.

The three moves, applied

Understand, Guide, Anticipate, with real examples to copy.

The 12-point scorecard

Rate your own product discovery and see what to fix first.

The Conversion Catalyst, weekly

Firney's email on engineering marketing that converts: what we're building, testing and seeing work.

Everything by email. The Catalyst lands weekly; unsubscribe anytime.

Get the Lazy Shopper Framework

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Questions

Before you ask

What is the Lazy Shopper Framework?

It's the framework Ash presented at MAD//Fest 2026: where product discovery breaks down on e-commerce sites, and how to fix it. You get the full breakdown by email, plus a 12-point scorecard to rate your own site.

Who is it for?

Marketing, digital and e-commerce leaders at consumer brands. If you own a revenue or conversion number, it's written for you. No technical background needed.

Is this a sales pitch?

No. It's the talk in written form. If the scorecard shows gaps you want engineering help with, we're easy to find; that part is entirely up to you.

Do I need engineering resource to act on it?

Some fixes are content and merchandising changes your team can make this week. Others need engineering. The scorecard separates the two, so you know which is which.