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Social Media Marketing + Paid Ads | Birmingham, UK

NorthPeak Aesthetics

The Claim

In 5 months, we rebuilt social and paid into a single booking system that filtered low intent leads, increased consult bookings, and reduced cost per qualified booking without increasing spend.

This was not a lead gen campaign. It was a qualification and booking engine.

Timeframe:

5 months

Case Type: Pipeline creation + qualification control
Offer: Cosmetic dentistry + injectables (high intent)
Primary Goal: Book qualified consultations, not form spam

Performance Snapshot

Booked Consults

0/mo

Up from 38
Qualified Rate

0%

Up from 44%
Cost per Qualified

£0

Reduced from £142
Show Rate

0%

Up from 61%
Lead-to-Booking

0%

Up from 18%
Wasted Lead Ratio

0%

Down from 36%

Rolling 60 day averages. Blended performance data.

Baseline Reality

Pipeline Stagnation

Ads were running. Leads were coming in. The clinic still felt stuck.

  • Lead forms captured anyone
  • “Price shoppers” flooded the pipeline
  • Staff spent time chasing non serious leads
  • No system to separate cosmetic intent from general enquiries
  • Retargeting hit everyone the same way
  • Reporting looked fine, calendar density did not
Constraint

Economic Pressure

  • High competition in local aesthetics and dental auctions
  • Strong impulse interest, weak follow through
  • Two front desk coordinators handling inbound
  • Limited consult slots per week
  • Revenue depends on show rate and close quality, not raw lead count
Leverage Insight

Objective Shift

Platforms optimize toward what you count as a conversion.

If your conversion is a weak form submit, you will buy weak form submits.

So we changed the conversion objective. We forced the system to optimize for booked consultations with qualifying signals, not lead volume.

Execution

Intervention Framework

Social Media Marketing and Intent
  • Built content pillars around decision triggers: before-after, process walkthrough, recovery, pricing ranges
  • Created “qualification content” that repels the wrong buyer: maintenance, timeline, eligibility, realistic outcomes
Objection Pre-emption
  • Structured reels to answer the first 5 objections before a lead is captured
  • Social stopped being awareness. It became pre qualification.
The Trust Loop
  • Weekly trust loop: doctor credibility, clinic standards, patient experience proof
Service-Specific Focus
  • Moved from generic aesthetics content to service specific intent content: veneers, whitening, composite bonding

Paid Advertising: Capture Intent and Filter Hard

  • Split campaigns by service value and buyer intent: bonding vs veneers vs injectables
  • Tightened targeting and search terms to block: jobs, free, training, cheap, DIY, NHS
  • Shifted optimization toward booked consult events once data stabilized

Introduced a 2 step booking flow:

  • Step 1: short capture form
  • Step 2: booking prompt with consult deposit option (refundable, applied to treatment)

Added qualification fields without killing volume:

timeframe budget band desired treatment previous consultation history

Built retargeting by intent depth:

watched video 50% visited pricing visited service page twice started form but did not book

Paid stopped buying curiosity.

It started buying qualified action.

Sequence and Timing

Phase 1 (Month 0 to 1)

Stop Junk

  • Filter targeting and searches
  • Rebuild offer flow
Result: wasted lead ratio dropped sharply
Phase 2 (Month 1 to 3)

Force Booking Behavior

  • Booking first conversion event
  • Qualification gates added
Result: lead-to-booking jumped
Phase 3 (Month 3 to 5)

Raise Attendance and Close Quality

  • Retargeting segmented by intent depth
  • Reminder discipline and scheduling confirmation
Result: show rate climbed and capacity became usable

Order mattered.

If we scaled volume before gating, it would have scaled waste.

Economics Translation

To translate performance into commercial impact, we applied the clinic’s average treatment value (£2,800) and close rate from attended consultations (32%).

Baseline (Month 0)
38 bookings
61% show rate → 23 patients attended
32% close rate → 7 treatments started
7 × £2,800 = ~£20,800 expected monthly treatment value
Month 5
92 bookings
79% show rate → 73 patients attended
32% close rate → 23 treatments started
23 × £2,800 = ~£65,100 expected monthly treatment value

Control System

Tracked weekly:

cost per booked consult cost per qualified booking show rate by source booking rate by service line lead quality tags from staff wasted lead ratio consult slot utilization

Next 90 Days

  • Expand into two nearby postcode clusters once CPQB holds
  • Add referral-driven retargeting (review and testimonial loops)
  • Improve close rate with a pre-consult education sequence
  • Test higher qualification thresholds on high spend segments

If your ads generate leads but your calendar still feels unstable, the issue is not volume.

It is a qualification and booking control.

We will identify where junk enters, what it is costing you, and how to make paid plus social optimize for real consultations, not noise.

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