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Case Study • Pauline's Housekeeping

What Happens After Someone Responds to Your Ad?

Inside the connected journey built for Pauline's Housekeeping.

Landing Page GoHighLevel CRM Pipelines Workflows AI Qualification Booking

Meta advertising managed by Expert Marketing. Davina Connect built the operational journey that followed.

The Business Situation

Getting the response was only the beginning.

Pauline's Housekeeping was running Meta advertising, managed by Expert Marketing, as part of its customer acquisition activity.

But getting the advertising in front of the right people was only the first part of the journey. What happened next depended on whether each new contact reached the right place, was qualified properly and could move smoothly towards booking using the systems Pauline's Housekeeping already had.

This is where Davina Connect's part of the project began. The work wasn't the advertising itself. It was building and connecting the operational journey that started once a contact entered the business's systems.

Expert Marketing
Managed the Meta advertising
Davina Connect
Built and connected the operational journey that followed
What Davina Connect Built

One connected journey, built from several moving parts.

The project brought together the customer-facing journey, CRM, automation, booking and AI so each part worked as part of the same operational process.

01

Meta Landing Page

Built the landing page used by the Meta advertising campaign.

02

GoHighLevel CRM

Set up and configured GHL as the CRM for managing contacts and the connected journey.

03

Pipelines

Created the pipelines contacts moved through as their status and next step changed.

04

Automated Workflows

Built the workflows behind qualification, follow-up, appointments and reminders.

05

Webhooks

Used webhooks to connect different parts of the process and move information where it was needed.

06

Existing Booking Page + GHL Calendar

Embedded the GHL calendar into Pauline's Housekeeping's existing booking page using an iframe rather than replacing it.

07

Katie AI Assistant

Built Katie as one component inside the wider GHL workflow, rather than as a standalone chatbot.

08

Location Qualification

Configured Katie to qualify prospective customers by service location across approximately 40 locations.

09

Branching Customer Journey

Built the logic that moved each contact towards the appropriate next step depending on qualification and booking outcome.

How the Connected Journey Worked

The contact moved through one connected system.

When a contact from the Meta advertising was created in GHL, a workflow activated Katie automatically. From there, the journey changed depending on qualification and booking outcome.

01

Contact Created in GHL

A new contact entered the CRM from the Meta journey.

02

Workflow Activates Katie

Katie was triggered automatically inside the GHL workflow.

03

Location Qualification

Katie checked the contact against approximately 40 service locations.

04

Next Step Decided

The workflow branched according to qualification and booking behaviour.

Decision Point What happened next?
Qualified + Booked

Appointment reminder workflow

If the contact qualified and booked an appointment with Pauline, the appointment-reminder workflow was triggered.

Qualified + Not Booked

Follow-up workflow

If the contact qualified but did not book, a follow-up workflow was triggered to continue encouraging them to book.

Disqualified

Human review

If Katie disqualified the contact based on location, an email was sent to Pauline's Housekeeping so a person could review the decision.

Connecting the Existing Booking Journey

Keep what already works. Connect what needs connecting.

Pauline's Housekeeping already had a booking page it wanted to retain. Rather than replacing it, Davina Connect connected that existing part of the customer journey into GHL.

01

Existing Booking Page

Pauline's Housekeeping kept the booking page already in use on its website.

02

GHL Calendar Embedded

The GHL calendar was embedded into the existing page using an iframe, rather than replacing the page.

03

Booking Flows Into GHL

When somebody booked through the embedded calendar, their information flowed directly into the CRM and the appropriate workflow could continue.

New Contact

Created in GHL

If the person was not already in the CRM, a new contact record was created.

Existing Contact

Updated in GHL

If the person already existed in the CRM, their record was updated rather than creating a duplicate customer journey.

The point wasn't to replace a working part of the business.

The existing booking experience stayed in place. The technology behind it was connected so booking, CRM information and the wider GHL workflow could operate as part of the same journey.

Human Oversight

AI made the first pass. A person kept the final say.

When Katie disqualified a contact based on service location, that decision triggered an email to Pauline's Housekeeping so a person could review it.

Katie gathered the information and made the first qualification decision. The judgement that could exclude someone wasn't left entirely to automation.

Step 1

Katie checks service location

The contact is checked against the service locations configured in GHL.

Step 2

Contact is disqualified

If the location does not meet the qualification rules, the workflow triggers the next step.

Human Check

Pauline's Housekeeping reviews the decision

An email is sent so a person can review the location-based disqualification.

The human check was built into the workflow itself — it wasn't an afterthought added later.
The Key Takeaway

AI doesn't need to run the business. It needs to know its place in the business.

An enquiry arriving was only the beginning.

For Pauline's Housekeeping, the work was about connecting what happened afterwards — the landing page, CRM, pipelines, workflows, booking journey and Katie — so each part could operate within the same GHL system.

Katie had a defined role. She qualified contacts against the service locations, offered qualified contacts an appointment and sat inside workflows that responded differently depending on what happened next.

And where an automated decision could exclude a prospective customer, a person remained part of the process.

The technology wasn't there to take over the customer journey. It was there to connect and support it.

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