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Results

What happens when no enquiry goes cold

Example scenarios showing how Clinqly handles common enquiry patterns. Named customer case studies will be published as partners go live.

UK-built and UK-supported, for appointment and support teams alike

Why teams choose Clinqly

Built to capture every enquiry, day or night

UK-built, secure, and live on your site in under an hour, working with the tools you already use.

24/7

Every enquiry captured and scored, even when you're closed

< 1 hr

From sign-up to live on your website

No contract

Month-to-month, cancel anytime

Works with your existing stack

Clinqly embeds on your website and hands off to the tools you already use, no PMS or calendar replacement.

  • Calendly
  • Acuity
  • Resend

Secure by design

Customer enquiry data is stored in Supabase with row-level security per location. You remain the data controller for visitor enquiries.

Example scenarios

How Clinqly handles real enquiry patterns

Aesthetic / Med SpaMidlands

Aesthetic clinic recovers Sunday-evening enquiries

Challenge
High-value Botox and filler enquiries arrived in the evening and at weekends, then sat in a generic form inbox until Monday, by which point many had booked elsewhere.
Approach
Clinqly was embedded on the site, trained on treatment pricing and FAQs, and set to score enquiries and run automated follow-up.
Result
Every after-hours enquiry now arrives qualified and scored, so the front desk opens Monday to a prioritized list of who is ready to book.

After-hours enquiries captured and scored automatically

Illustrative example, not a specific customer result.

Broadband & ISPSouth West

Regional ISP cuts repetitive support load

Challenge
Coverage, billing, and basic technical questions flooded the support inbox and repeated across channels, leaving agents little time for issues that genuinely needed a human.
Approach
Clinqly answers from the ISP's knowledge base, captures structured context (billing vs technical vs sales), and escalates only what needs an agent.
Result
Routine questions are answered automatically and the cases that reach agents arrive with full context, improving first-response time.

Routine questions deflected; agents get full context

Illustrative example, not a specific customer result.

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