The click is the beginning.
A person sees an ad for a service they need. They click. The landing page should make three things obvious: what you offer, why they should trust you and what to do next. Start with the promise that brought them there.
Remove the awkward pause.
Some visitors are ready to book. Others have one question holding them back. Offer an appropriate path for each: a clear booking or enquiry action, plus useful answers. An AI assistant can help with approved information, but it should never invent availability, prices or policies.
Ask what your team actually needs.
A renovation company might need the project type, location and timing. A venue might need a date and group size. Keep qualification proportional. A twelve-field interrogation is quite a way to say hello.
Make the handoff useful.
The conversation should reach the right team member with its context intact. Connect the contact details, source, service interest and summary to your CRM or inbox. Record consent where needed and collect only the information required for the enquiry.
Keep human judgement in the process.
Unusual requests, complaints, uncertain answers and high-impact commitments need a person. Define those boundaries before launch. Good automation makes it easier to help; it doesn’t pretend every customer fits a flowchart.
Measure what happens afterwards.
Review qualified enquiries, bookings and recorded sales alongside ad spend. Agree how each metric is defined. Where an appropriate integration exists, offline outcomes can help connect advertising with later customer activity. Attribution has limits, so treat platform totals as one view of the story.
A free ten-minute test.
Send a clearly labelled test enquiry through your own site. Check the confirmation, notifications, CRM record and next step. Did the right person receive enough information to act? If not, fix that path before spending more to send people down it.