See what your buyers want and say.
Customer Insights joins enquiries, orders, website visits, replies and survey comments into one profile per buyer, then groups similar buyers and reads their feedback for themes and mood. Personas are summaries, not people. Marketing decides what to act on. It works only with data you may hold, so a consent record and a customer ID shared across your tools matter more than any model.
Marketing holds one picture of the customer. It lives in the head of whoever has been there longest, while the CRM, the billing system and the newsletter list each spell the same customer’s name differently.
Customer Insights matches records from every system into one profile per buyer and reads the words customers use, in reviews, surveys and chats, for themes and mood. Who bought twice, who reads every mailer without buying and who went quiet after one quote can each be listed on request.
The problems this is meant to ease.
What AI customer insights does.
What this looks like in a working week.
The people who open this every day.
From first conversation to daily use.
Discovery with marketing and service
We list which customer questions the team cannot answer today, which systems hold the answers and who owns each, before any data is moved. Consent rules come up early.
Data readiness across the tools
Exports from the CRM, billing, email and survey tools are matched on a sample, and the customer ID and consent flags are checked. Gaps are listed, not guessed.
Trial on one slice of data
Profiles, personas and feedback themes come from a single product line or region. They use live records, and nothing goes out to customers. Marketing reads the output.
Checking the output with the team
Marketing, sales and service test each persona and theme against customers they know, and rename or drop the ones that nobody recognises. Uncertain matches are reviewed too.
Going live with a weekly view
The profile screen, feedback themes and plain-question box open to the marketing team, with consent rules and the review queue switched on. More channels join later.
Reviewing what was acted on
After a few campaign cycles the team reviews which recommendations were taken up, which personas proved useful and which data fields should be dropped. Definitions change with the review.
How you would know it is working.
Record where you stand before it goes live, so the change is measured against your own figures.
- Insight adoption is the count of recommendations that marketing accepted and acted on, taken from the review log, and it has no baseline because the log starts at go-live.
- Customer satisfaction is the survey score or feedback mood by product and month. For the baseline we use the latest surveys and reviews collected before go-live.
- Campaign performance is the response and order rate of each campaign against its audience, and the baseline comes from reports of campaigns run before go-live.
- Matched profiles is the count of customers whose records from different tools are joined into one, and the baseline comes from a sample match run before go-live.
- Unmet-need requests counts enquiries and searches for things you do not offer, and the baseline is a manual tally from recent months before go-live.
Where a person stays in charge.
Consent comes before analysis
Every field has a source and a permission, activity without one is excluded, and opt-outs apply across tools. Profiles hold only permitted data.
Rules differ by country
What you may track and keep depends on where your customers live, so your own lawyer should sign off the setup. Product text is not legal guidance.
Groups describe patterns
A persona describes a pattern across records and says nothing certain about one buyer, so nobody is refused service because of it. Treat them as patterns only.
Thin profiles are shown as thin
Where a profile rests on one phone call the screen says so, and thin profiles are counted instead of padded with guesses. Gaps are never hidden.
People decide what to act on
Recommendations are suggestions with evidence, and the marketing lead accepts or drops each, so nothing is sent from here. Sending happens in your own tools.
It is one part of a system, not an island.
A module earns its place by what it passes to the next one. These are the connections we set up most often.
- CRM contacts and accounts
- Website analytics
- Email marketing tool
- WhatsApp and chat
- Order and billing records
Products that include it.
How we would put it in.
Questions owners ask about AI customer insights.
Does tracking buyers need their consent?
What you may track, and what consent you need first, depends on where your customers live, so a lawyer you appoint signs off the setup. In practice consent is recorded against each contact, and any activity without a permission is left out of that contact’s profile entirely.
How many customers do we need?
Several hundred buyers, each with a few recorded actions, is a sensible floor before the groups stop changing every time you refresh them. Below that, a good salesperson’s notes will tell you more than any clustering run, so improving how data is captured comes first.
Will it decide who gets which campaign?
It proposes groups and lists what their members have in common, and the marketing lead chooses who receives which message after reading the evidence behind each group. Nothing goes out from the screen.
What if records sit in three tools?
That is the normal case, so the first piece of work is connecting them and agreeing which tool is right when they disagree, before any persona work starts.
How does it read customer feedback?
Survey answers, reviews, chat messages and ticket text are grouped by theme and given a mood reading, with sample comments kept beside each. Sarcasm and mixed feelings are often misread.
Which tools does it connect to?
It needs read access to your CRM, order records and email tool, and website analytics, chat and survey tools add more, depending on what each product allows. We check each link before quoting.
What effort and cost should we expect?
Most of the effort is agreeing a customer ID, cleaning duplicates and deciding which fields may be used, and your team does that with us at the start. Cost depends on tools and data. We quote after seeing both.
When is it not worth doing?
When you sell to a few dozen accounts and know each buyer personally, personas add nothing, and a conversation with the account owner is the better source.
Businesses that ask for this.
Modules that work with it.
Tell us how you handle AI customer insights today.
A spreadsheet, a register or another system: say which, and we will tell you plainly what is worth changing.
- No obligation
- A reply within one business day
- Your details stay private
Start with your requirements
Seven short steps that tell us what you need. An engineer reads them before getting in touch.
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