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Workflow · Lead Capture

Turn website chats into real CRM records

Website chat produces conversations that vanish into a widget. This workflow captures the visitor, qualifies them in the chat, writes a proper record to your CRM and books the next step — with the page and campaign that started it.

Qualifies in chat Full attribution Writes to CRM
★★★★★ 4.9/5 rating 1,200+ reviews 8+ years 500+ clients
The problem it solves

Chat conversations are the most-lost leads on your site

A visitor chats, gets an answer, and then… nothing. There is no record, no follow-up and no way to know which page produced the conversation. The widget shows a transcript; your pipeline shows nothing.

  • Chats end with no contact details and no follow-up.
  • Transcripts sit in the widget vendor, disconnected from your CRM.
  • There is no attribution, so proven pages look unproductive.
  • Chat enquiries are answered slower than form fills, and forgotten sooner.

Illustrative example — the chat that disappeared

  • Tue 11:20 A visitor chats about pricing on a service page.
  • Tue 11:24 The chat ends politely; no email is captured.
  • Tue 11:25 The transcript sits in the widget with no follow-up.
  • Never The visitor books elsewhere and the page is marked “underperforming”.
The nine-stage workflow

How Website Chat to CRM runs, stage by stage

Nine stages from an anonymous visitor to a qualified, attributed, booked contact.

1

Problem

Chats produce useful conversations that never become contacts or pipeline.

2

Trigger

A visitor opens the chat, or the agent opens with a helpful, non-pushy prompt on key pages.

3

AI Agent

The agent answers grounded questions from your knowledge base and guides towards next steps.

4

Decision / Qualification

It captures the detail needed to qualify: need, timeline, location and contact information.

5

CRM Update

A contact is created with the source page, campaign and a short chat summary.

6

Message / Call

The agent offers email or SMS follow-up and captures consent for whichever is appropriate.

7

Appointment / Next Step

Real open slots or a booking link are offered directly inside the chat.

8

Follow-Up

If the visitor leaves without booking, a compliant follow-up picks the conversation back up.

9

Reporting

Chat volume, capture rate, qualification rate and attribution are reported by page.

1 · Problem

Chats produce useful conversations that never become contacts or pipeline.

Fields & signals: session, page, referral, campaign, chat transcript

2 · Trigger

A visitor opens the chat, or the agent opens with a helpful, non-pushy prompt on key pages.

Fields & signals: trigger page, time on page, intent signal

3 · AI Agent

The agent answers grounded questions from your knowledge base and guides towards next steps.

Fields & signals: knowledge base, service info, approved answers

4 · Decision / Qualification

It captures the detail needed to qualify: need, timeline, location and contact information.

Fields & signals: name, email, phone, need, timeline, fit score

5 · CRM Update

A contact is created with the source page, campaign and a short chat summary.

Fields & signals: contact, page source, campaign, transcript summary, owner

6 · Message / Call

The agent offers email or SMS follow-up and captures consent for whichever is appropriate.

Fields & signals: consent flags, channel preference, quiet hours

7 · Appointment / Next Step

Real open slots or a booking link are offered directly inside the chat.

Fields & signals: availability, booking link, slot, confirmation

8 · Follow-Up

If the visitor leaves without booking, a compliant follow-up picks the conversation back up.

Fields & signals: follow-up cadence, email copy, stop rules

9 · Reporting

Chat volume, capture rate, qualification rate and attribution are reported by page.

Fields & signals: chats, captured contacts, qualified, bookings, page

What it looks like in practice

The chat that leaves a record behind

Every conversation writes a contact with a source and a next step.

The agent opens with something useful rather than “how can I help?”, answers from your approved content, and asks for contact details only once there is a reason to continue — so capture rates stay high and the visitor never feels trapped.

  • The source page and campaign travel with the contact automatically.
  • The chat summary tells the rep what was already discussed and answered.
  • Consent for email or SMS is captured in the conversation, not assumed.
  • If the visitor abandons the chat, a compliant follow-up continues it.
Illustrative example — site chat captured to CRM
Hi — I can help with anything about our managed plans. Are you comparing options, or looking into a specific issue?AI agent · 11:20
Comparing a few providers for our clinic. We need better after-hours support.Visitor · 11:21
That’s a common priority for clinics. How many locations and roughly how many staff would this cover?AI agent · 11:21
Two locations, about 35 staff total.
Got it. I can book a 20-minute call with our solutions lead — he’ll come prepared with how we’d cover two sites. What’s the best email to send the confirmation to?AI agent · 11:22
amal@greenleafclinic.com
Thanks — booked in for Thursday 13:00, and the confirmation is on its way to that address. Anything else I should pass to him?AI agent · 11:22
Illustrative example

Illustrative example. The chat logs a contact, the source page and a summary; clinical or sensitive questions are never answered by the agent.

Same workflow, different industries

How it flexes for three very different businesses

The nine stages stay the same. The trigger, the language, the qualification questions and the outcome change completely.

Home services

Booking-first chat

On service pages the agent offers to book a visit directly, capturing the address and access notes and writing them to the CRM so the crew arrives informed.

Dental

Practice-aware chat

The agent answers administrative questions — opening hours, new-patient process, insurance accepted — and books appointments, routing all clinical questions to the practice team.

SaaS / B2B

Trial and demo routing

The agent separates support questions from sales interest, sends support visitors to documentation, and books qualified sales interest for a demo with a rep briefed on the chat.

Failure modes & safeguards

What happens when things are not tidy

Real conversations are messy. These are the guardrails we build in before go-live.

Human handoff when the AI is unsure

Any question outside the knowledge base is acknowledged and passed to a human rather than answered with a guess.

Opt-out and consent handling

Consent is captured in the chat before any follow-up message is sent, and opt-out is honoured across channels.

Quiet hours for SMS

Follow-up emails respect preferences, and SMS is only used where the visitor consented.

No fabricated outcomes

The agent does not capture or claim information the visitor did not provide, and never invents a booking.

Metrics to watch

What we measure for you

We report on outcomes from your own data. We do not publish invented benchmarks — the numbers below are the ones we track and explain with you.

Response time

Time from the first visitor message to the first agent reply, and to any human follow-up.

Qualification rate

The share of chats that result in a captured contact and a qualification decision.

Booking rate

The share of captured chats that book an appointment.

Show rate

Bookings attributed by landing page, which finally shows which pages earn their keep.

Where it fits

Connect it to the rest of your system

FAQ

Website Chat to CRM questions

Will chat annoy visitors?
It is configured to be helpful rather than intrusive: it can wait for engagement signals, avoid popping up repeatedly and stay off pages where chat adds nothing. You choose how proactive it is.
Which CRM can it write to?
Common CRMs and contact platforms are supported, and where there is no native connection we use an automation layer to sync. We will confirm your specific tool before committing.
What happens if the chat runs out of answers?
The agent says so honestly and offers a human callback or an email follow-up, capturing the context so the person picking it up is not starting from scratch.
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