Case studies.

Selected clients running on AdTurbo across ecommerce, B2B SaaS, local services, construction, and IT consultancy. Metrics, quotes, and what we actually did.

METRIC #01
3.8×
ROAS ACHIEVED
Before vs After
Previous1.1× ROAS
AdTurbo3.8× ROAS
EcommerceOnline raffle competitions
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Lucky Turbo

Live since March. From month 4 onwards, monthly ad spend has scaled 5× while ROAS has held above 3×. The account was previously running broad-match campaigns with no negative keyword discipline. Foundation Setup rebuilt the structure end-to-end.

What we did

  • Rebuilt structure via Foundation Setup
  • Rigorous daily negative-keyword pruning
  • Transitioned from broad-match to high-intent terms
  • Audience layering & bidding optimizations

Spend doubled, returns more than doubled. AdTurbo found waste in the account we'd been blind to for months.

Founder, Lucky Turbo
METRIC #02
£42
COST PER QUALIFIED DEMO
Before vs After
Previous£180 CPL
AdTurbo£42 CPL
B2B SaaSB2B SaaS raffle platform
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Turbo IT

Pre-AdTurbo cost per demo was £180 on a Search-only setup with no audience exclusions and no negative-keyword pruning. After 90 days of structured optimisation, cost per qualified demo dropped to £42 and lead-to-demo conversion rate climbed 2.1×.

What we did

  • Layered Search & Performance Max strategy
  • Audience exclusions for non-B2B personas
  • Tight call & booking tracking implementation
  • Pruning of generic search terms to save budget

Lead quality went up at the same time the cost went down. We're ready to scale spend without worrying about junk in the pipeline.

Co-founder, Turbo IT
METRIC #03
£32
COST PER QUALIFIED LEAD
Before vs After
Previous£190 CPL
AdTurbo£32 CPL
Local BusinessResidential renovation
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Renova Construction

Previous CPL of £190 with weak call tracking and no lead-quality feedback loop. We rebuilt conversion tracking with call recording + form-fill scoring, then layered audience exclusions for postcode + project-value. Bookable jobs up 2.4× inside 90 days.

What we did

  • Rebuilt conversion tracking with call recording
  • Postcode & project-value exclusions
  • Local service ad integration & optimization
  • Qualifying questionnaire on form-fills

We were paying for tyre-kickers before. Now every form fill is a homeowner ready to talk numbers.

Director, Renova Construction
METRIC #04
£6.80
COST PER BOOKING
Before vs After
Previous£38 CPB
AdTurbo£6.80 CPB
Local BusinessHair salon, Sale, Cheshire
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SJ Salon

Local salon doing well on Instagram but ignoring Google entirely. Rebuilt around Local Service Ads and tight Search campaigns for high-intent queries (bridal, colour correction, extensions). From a previous £38 cost-per-booking on the old channel mix to £6.80 within the first month.

What we did

  • Local Service Ads channel setup & validation
  • Search campaigns for high-margin services
  • Hyper-local radius bidding configuration
  • Direct integration with booking system (Fresha)

We're fully booked four weeks out for the first time since the relocation. Google was the missing channel, and we'd been ignoring it.

Owner, SJ Salon
METRIC #05
£74
COST PER ENTERPRISE ENQUIRY
Before vs After
Previous£240 CPL
AdTurbo£74 CPL
B2B SaaSIT services and custom software
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AdroitMinds

Enterprise B2B with long sales cycles. Cost per enquiry was £240 with significant waste on irrelevant search terms. We restructured around service-specific intent (eCommerce dev, AI integration, custom apps), tightened negative keywords, and added LinkedIn-style audience exclusions. Sales-qualified rate doubled on the same monthly spend.

What we did

  • High-intent keyword restructurings by vertical
  • LinkedIn-matched audience segment exclusions
  • CRM-lead quality callback loop integration
  • Thorough search term audit & negative-list creation

The audit alone paid for itself. Three campaigns were burning budget on search terms that didn't even line up with what we sell.

Marketing Lead, AdroitMinds

Selected results from clients we run accounts for. Averages differ. We’ll show you what’s realistic for yours on the first call.

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