The Buyer Intent Engine
A free course for online store owners, from beginner to expert: turn your reviews, support emails and site searches into ...
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Instructor
David Tainsh
Course details
Duration
:
44 minutes
Lectures
:
4
Level
:
Beginner
- Description
- Curriculum
- Reviews
Free course · For online store owners
Know why your customers buy, and what stops them, then write every page, ad and email in their own words.
The answers that turn more visitors into orders are already in your store: in your reviews, support emails, site searches and return reasons. This free course shows you how to collect them, rank what holds buyers back, and turn them into three buyer personas and an intent matrix that say what to write and where.
- Your customers’ own wordsEvery review, question and search collected in one file, word for word, ready to use on your pages.
- What stops them buyingEvery worry tagged and ranked by how often it comes up, so you answer the biggest ones first.
- What to say, and whereThree personas and an intent matrix that match each worry to the page, ad or email that answers it.
Watch: what the course covers, in about two minutes.
Who this is for
Store owners who want their pages, ads and emails to answer what buyers actually ask.
Most store copy is written from the seller’s side: features, specs and the words the store uses. Buyers search, compare and decide in their own words. When the page uses them, more visitors find the answer they came for and order.
- 01Stores with visitors and not enough orders
People arrive and leave. You find the questions and worries your pages are not answering, ranked by how often buyers raise them.
- 02Owners writing product pages and ads
Headlines, FAQs and ad hooks that use the exact words your customers use, instead of generic copy that sounds like every other store.
- 03Stores sitting on reviews and support emails
Hundreds of customer messages that nobody has read as a set. You turn them into one file you can search, count and use.
- 04Owners starting with AI
You want Claude to write for your store without inventing anything. Every prompt works only from your customers’ real words and marks any gap as not known.
- 05Freelancers and agencies
Working on client stores. A repeatable way to find out what a client’s buyers want before writing a word for them.
For store owners from beginner to expert. No experience needed, on any e-commerce platform: Shopify, WooCommerce or anything else.
Three lessons, one asset
Each lesson builds on the file the one before it made.
Lesson 1 collects your customers’ words. Lesson 2 finds the problems in them. Lesson 3 turns those problems into buyer groups and a plan for what to write where.
Lesson 1 · Customer voice
Collect what your customers say
- The six places your customers’ words are kept
- How to export and clean each one
- Every quote saved word for word, with its source
- You build
customer-voice.md
Lesson 2 · Pain dictionary
Find what holds buyers back
- Tag each quote: what it is about, how they felt, how close to buying
- Group the quotes into themes and count them
- The problems ranked by how often they come up
- You build
pain-dictionary.md
Lesson 3 · Personas + intent matrix
Know who buys and what to say
- Three personas from real behaviour, not made-up ages and jobs
- The one worry each persona needs answered first
- An intent matrix that names the page, ad or email for each worry
- You build
personas.mdandintent-matrix.md
Then the live workshop: six prompts, run in one Claude conversation on your own reviews and questions, so you leave with all four files built.
What you walk away with
Four files that tell you what your buyers want, in their words.
Every line in them traces back to something a real customer said, so you can check it, and so can anyone you hand it to.
- customer-voice.md: every quote, word for word, with its source
- pain-dictionary.md: the problems that stop buyers, ranked
- personas.md: three buyer groups with their trigger and risk filter
- intent-matrix.md: what to write, and where it goes on your store
- Headlines in the words your buyers search for
- FAQ answers to the questions that stop people paying
- Ad hooks and email subject lines in your customers’ language
- A list of the first four things to build, from your heaviest cells
Plus a plain-English glossary in every lesson: buyer intent, verbatim, pain point, objection, persona, trigger, risk filter, coverage and more.
Why pages fail to convert
The page answers the seller’s questions, not the buyer’s.
Each of these looks like progress, and each one leaves the question in the buyer’s head unanswered.
- ×Copy written in the store’s words
Features and specs that make sense to the seller. Buyers search and decide in plain language, and do not find themselves on the page.
- ×Only reading the five-star reviews
Praise shows what works. The complaints, returns and support questions show what stops people buying.
- ×Personas with an age and a stock photo
“Sarah, 34, marketing manager” cannot be checked and does not say what to put on a page. The worry that must be answered before they pay is missing.
- ×Asking AI to imagine your customers
Without your customers’ words, AI writes what customers of any store might say, and can invent quotes that nobody said.
None of this needs new research. The answers are already in your reviews, inbox and search box.
The difference
Personas from your customers, not from a template.
The usual persona
- Age, gender, job title and a stock photo
- Invented hobbies and a made-up quote
- Cannot be checked against anything
- Does not say what to put on a page
- Every store’s persona looks the same
A predictive persona
- Pain, desire, trigger and risk filter
- Every line points to a real customer quote
- A coverage count you can check
- Says which question to answer, and where
- Built from your customers, so it is yours
The through-line
Quote customers. Never paraphrase them.
A buyer recognises their own words on a page. Claude does the sorting, tagging and counting, but it works only from what your customers wrote, and never changes a word.
- 1Your customers’ words, collected
Reviews, support messages, site searches, return reasons and pre-sale questions, with personal details removed first.
- 2Claude sorts and counts them
Tags every quote, groups the themes, ranks the problems and builds the personas and matrix, marking any gap as not known.
- 3You check every line
A word-for-word check against your exports, and a ref on every line so you can see the quote it came from.
How the course runs
Three lessons of 11 to 14 minutes, then a live workshop.
Each lesson is fifteen slides built around flow diagrams, with every term explained the first time it appears. Watch them in order: each lesson reads the file the one before it made.
Lesson 1
How to Build a Customer Voice File
What buyer intent is, the six places customer words are kept, the five collection steps, and the six rules that keep every quote word for word.
Lesson 2
How to Build a Pain Dictionary
The five tags on every quote, the five kinds of statement, emotion and intensity, the three buying stages, and how tagged rows become a ranked dictionary.
Lesson 3
How to Build 3 Personas and an Intent Matrix
The ten persona fields, coverage and the residual group, the fifteen-cell intent matrix, and the asset each full cell needs.
Workshop
Live build: all four files
Six prompts from the SOP & AI Prompts pack, run in one Claude conversation on real reviews and questions.
Where the files go next
Built once here, used across the paid courses.
The paid e-commerce courses read these files, so the customer research behind every page, flow and fix is already done.
- PDPAI Product Detail Pages
Headlines, FAQ answers, the buy box and the fit line, written from your heaviest matrix cells.
- CROAI CRO For E-Commerce
The reason behind each conversion leak, taken from your objection rows.
- EMAI Email Automation Blueprint
Subject lines and objection answers in your buyers’ words.
- ALL
Is it for you
Store owners who want to know what their buyers are really asking.
A good fit
- You run, or are launching, an online store
- You have reviews, support emails or site searches to work from
- You want copy that answers buyers, not just describes products
- You want to use AI and keep every line checkable
- You learn best from diagrams and plain English
Not a fit
- You want AI to invent customers or reviews for you
- You want demographic personas with photos and ages
- You want a step-by-step platform tutorial
- You want a promised sales figure
- You want market research on customers you do not have yet
What it costs
Nothing. Enrol and start with Lesson 1.
Free
Lifetime access, including every update.
3 lessons · live workshop · under 45 minutes · SOP & AI Prompts pack with 6 prompts
No payment. Enrol and the lessons, the workshop and the prompt pack are yours.
Quick answers
The questions people ask before starting.
Is it really free?
Yes. Three lessons, the live workshop and the SOP & AI Prompts pack, with lifetime access and no payment.
Do I need any experience?
No. Every lesson explains its terms in plain English the first time they appear, and every idea comes with a diagram.
What do I need to have ready?
Your product reviews, recent support emails or chats, site search terms, return reasons and any pre-sale questions, as text or CSV. You remove customer names, emails and order numbers before pasting anything.
Which AI does it use?
Claude. The six workshop prompts run in one Claude conversation and work only from the customer words you paste in.
Which platform does it work with?
Any. The method works with exports from Shopify, WooCommerce and any other platform, and from common review and help-desk tools.
What if I only have a few reviews?
Use every source you have: support emails, site searches and return reasons often hold more than reviews. A small file is still real; the course shows how to report a gap rather than fill it.
Will AI make up customer quotes?
No. Every prompt tells Claude to copy quotes exactly and mark gaps as not known, and one prompt checks every quote against your original exports.
What exactly do I get?
Three video lessons with fifteen-slide diagram decks, the live workshop, and a PDF SOP with all six prompts. You finish with four files: customer voice, pain dictionary, personas and intent matrix.
Write every page, ad and email in your buyers’ own words.
Collect what your customers say, find what stops them buying, and know exactly what to write and where — in three short lessons and one workshop, free.
A Digital Plan · adigitalplan.com
The Buyer Intent Engine
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1
Lesson 1 — How to Build a Customer Voice FileWhere your customers’ own words are kept and how to collect them without changing a word. The lesson explains buyer intent, the question a buyer is trying to answer when they arrive. It then covers the six places customer words are kept: reviews, support emails and chats, site search terms, return reasons, pre-sale questions and competitors’ reviews, with where to export each one. You learn the five collection steps, including removing personal data before anything goes into an AI tool, and why each question is tagged rather than each customer. Every quote is saved word for word as one row in customer-voice.md, with a ref, its source and the product it is about. Terms explained include buyer intent, verbatim, pain point, objection and persona.
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2
Lesson 2 — How to Build a Pain Dictionary
How to tag every quote in your customer voice file and turn the quotes into a ranked list of what your buyers struggle with. Each quote gets five tags. Its kind is pain, desire, objection, trigger or praise, and its theme is what it is about. Its emotion is frustration, confusion, fear, hope or delight. Its intensity is mild, strong or severe, and its buying stage is awareness, commercial or transactional. You learn how Claude adds these tags without touching the customer’s words and why a tag must point to a word in the quote. You then group the rows by theme, count and rank them, and keep the leftovers in a counted "other" group. The result is pain-dictionary.md, with each theme’s count, emotion, stage and the clearest quote word for word.
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3
Lesson 3 — How to Build 3 Personas and an Intent Matrix
How to group your buyers into three predictive personas and lay every theme out by buying stage and emotion. The lesson compares demographic personas with predictive ones built from what buyers say. It walks through the ten persona fields, from pain, trigger and risk filter to coverage and evidence. You learn how to group quotes by shared trigger and desire, count how much of the file each persona explains, and keep a named residual group. If that group is over 20%, a fourth persona is missing. The intent matrix places every quote in one of fifteen cells, three buying stages against five emotions, and each full cell names the page, ad or email it needs. You finish with personas.md and intent-matrix.md, and see how every paid e-commerce course reads them.
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4
Live Workshop — The Buyer Intent Engine
The six prompts from the SOP & AI Prompts pack, run in order in one Claude conversation on real reviews, support questions and site searches. They build the customer voice file, check every quote word for word against the exports, add the five tags, and produce the pain dictionary, three personas and the intent matrix. You leave with all four files saved and ready to load into a paid course.
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