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GullySystem
AI for Marketing · Solutions

See the steps buyers take before they order, and where they stop.

AI Customer Journey joins the touches a buyer leaves behind, such as an ad click, a form, a WhatsApp reply and a quote, into one path per customer. It shows the common paths and the steps where people stall. Your marketing lead reviews each finding and decides what to change on the page, the message or the follow-up.

What it is

A buyer rarely goes in a straight line. They click an ad, read two pages, leave, return from a search, message the shop on WhatsApp and ask for a quote a week later. Each step sits in a different tool, so nobody sees the whole walk.

This capability stitches those records together using the phone, email or customer ID you already hold. It then groups similar paths and marks where many people stop. It describes what happened. Your team decides what to do about it.

Where it goes wrong today

The problems this is meant to ease.

Funnel stages live only on a slide

The planning deck lists awareness, consideration, purchase and repeat buying, yet no record says which stage a given customer has reached at present. Reports then mix visits with orders.

Drop-offs are found by hunch

Marketing suspects that people leave the enquiry form or stop replying after a quote, but nobody has counted where the exits really happen across a month. Guesses decide which page gets fixed.

Offline visits stay invisible

A buyer who browses online, visits the showroom and then phones the counter looks like three strangers, because store and phone contacts are never joined to the web record. Much of the story goes missing.

Every buyer hears the same script

The salesperson opens each call with the same script, since nothing shows that this buyer already read the price page twice and asked about delivery by message. Buyers repeat themselves and lose patience.

Page changes are never judged fairly

Someone rewrites a landing page or shortens a form, then sales move for other reasons, and the team cannot tell whether the change helped at all. Opinions win the argument instead.

Inside the module

What AI customer journey does.

Awareness to repeat buying

Each touch is placed in awareness, consideration, purchase or repeat buying by rules your team writes, and the rules stay visible and open to change.

One path per customer

Ad clicks, page visits, form fills, calls, WhatsApp threads and quotes are lined up by date against one customer record, with the source of each touch kept.

Common routes grouped

Paths that look alike are grouped, so you can read the three or four routes most buyers take instead of thousands of single histories.

Friction and drop-offs flagged

Steps where many buyers go quiet are marked, such as a quote sent with no reply or a form opened and abandoned. Each has a count behind it.

Next step suggested

For a buyer midway through the path, the page shows the step similar buyers took next, as a suggestion for the sales call. It is a guide, nothing more.

Online and offline touches

Store visits, trade fair cards and phone enquiries can be added by hand or by import, so the path is not only the online part.

Pages and forms reviewed

Landing pages, forms and checkout steps are listed with how many buyers reach each one and how many leave there, so the team knows which page to rework first.

Tests and experience measures

Each change to a page, form or follow-up message is logged with its dates, and the paths before and after are set side by side for a fair comparison. Survey scores can sit beside it.

Where it gets used

What this looks like in a working week.

Tools distributor

A tools distributor sees many buyers download the price list by form and then go quiet, so the team rewrites the email that follows the download. The stall point is plain.

Dental clinic

A dental clinic joins website booking requests with front-desk calls, and finds that patients who phone after an online enquiry are counted twice in the monthly report. A shared phone number joins them.

Furniture retailer

A furniture retailer adds showroom visits by hand after each walk-in, so the path from an Instagram post to a sofa order shows both the online and store steps. Staff enter visits at the till.

Car workshop

A car workshop follows a reminder message through to a booking and sees customers open the form on a phone, then leave at the date field. The form is the next fix.

Online course provider

An online course provider compares the paths of students who enrol with those who only watch a sample lesson, then tests a shorter sign-up page against the old one. Both versions are kept for comparison.

Who touches it

The people who open this every day.

Marketing manager

Reads the common paths and stall points before changing a landing page or a follow-up message.

Sales head

Sees what a buyer did before the first call, so the opening question is not a repeat.

Content or web owner

Checks which pages sit on the paths that end in an order and which are only passed through.

Owner

Gets a plain view of how people actually find the business and where they drift away.

How it is set up

From first conversation to daily use.

  1. Discovery

    We list the stages your buyers pass through, the tools that touch each stage, and the customer ID, phone number or email that could join them. Sales and marketing both attend.

  2. Data readiness

    Ad tags, form fields, CRM stages and call logs are checked for gaps, and missing campaign tags or unlogged calls are listed with a person to fix each one. Tracking comes before analysis.

  3. Trial on one product line

    We load one product line or one branch with a year of enquiries, quotes and orders. The first set of paths is drawn from those live records. Nothing is invented for the trial.

  4. Review by the daily users

    The marketing lead and two salespeople compare the stage rules and grouped paths with buyers they remember. Wrong joins and stage labels are fixed there and then. Their corrections become the rules.

  5. Going live

    Once the paths read true, the journey page opens for the wider team, with the tracking tags, matching rules and CRM fields switched on for every product line. A lawyer reviews tracking first.

  6. Reviewing afterwards

    At each quarter end the team compares the stall points and landing page tests with the earlier baseline, retires rules nobody uses and adds paths for new campaigns. Old rules are retired.

Measuring it

How you would know it is working.

Record where you stand before it goes live, so the change is measured against your own figures.

  • Funnel conversion is the share of buyers moving from one stage to the next. Its baseline comes from CRM stage dates in the last full quarter before go-live.
  • Abandonment is the count of started forms, carts and quotes that never finish, and its baseline comes from form and checkout logs recorded before the tracking is cleaned up.
  • Time to purchase is the days between a buyer’s first recorded touch and the order, with the baseline measured on orders closed before go-live.
  • The share of touches with a known source shows how complete the paths are, and the baseline is the untagged count in the first month’s data.
  • Each landing page or form test is logged against the old version over the same dates, with the old version’s earlier numbers as the baseline.
Used responsibly

Where a person stays in charge.

People make every change

Your staff edit pages, forms, ads and messages after reading a finding, and a suggested next step is only a prompt for a sales call. The software changes nothing on its own.

Joins can be wrong

Two touches are joined only when a phone number, email or login matches, and every join is listed so a person can undo a wrong one. Anonymous visitors stay anonymous.

Privacy differs by country

Tracking and joining personal records fall under privacy rules that differ between countries, so your own lawyer reviews the setup and the consent wording before any tag goes live. Legal advice is not part of what the product does.

Small volumes mislead

With few customers, a path seen three times looks like a pattern, so each finding shows how many buyers stand behind it and small groups are marked as thin. Treat thin groups as hints.

How it fits

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 and lead management
  • Website analytics and tag manager
  • Ad accounts
  • WhatsApp Business messages
  • Email and form tools
  • Billing records for closed orders
Common questions

Questions owners ask about AI customer journey.

How does it know two touches belong to one person?

It matches on what you hold, such as a phone number, an email address or a login. Anonymous visits stay anonymous. Matches are listed so a person can correct a wrong join.

What if most of our sales happen by phone?

Then calls must be logged in the CRM first. The path is only as complete as the records behind it. If nobody logs calls, start there before adding anything else.

Does it decide what we change?

No. It shows paths and stall points, and a marketing lead chooses what to test. Nothing on your site, ads or messages is altered by the software.

Is it worth it with a few dozen customers a year?

Probably not. Too few paths make patterns look real when they are chance. A spreadsheet and a conversation with each buyer will tell you more until volumes grow.

Who sets up the tracking?

GullySystem sets up the tags, the matching rules and the CRM fields with your team. Privacy law varies between countries, so a lawyer of your choosing reviews the setup before tracking goes live.

Can it test pages and forms?

It records each test that your team runs on a page or form, and it compares the two versions over matching dates in one place. The test itself runs elsewhere.

What will setting this up cost us in effort?

Cost rises with the number of sources joined and falls with how clean they are. We quote only after inspecting your tools. Most of the effort is tagging.

Talk to us

Tell us how you handle AI customer journey 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

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