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Objectives, strategy and the numbers that followed

The case studies below are illustrative samples built from typical project patterns and clearly labelled as such. Verified results from named clients are shared under NDA on request.

At a glance

Format
Objective → strategy → result
Sectors
6 categories shown
Data status
Illustrative samples
Named results
Available under NDA
These are demonstration case studies. Publishing invented client names or unverified numbers would be dishonest, so the engagements below are composites of real project patterns. Ask us for verified, named references when you are evaluating agencies seriously.
Sample case study

E-commerce

D2C skincare brand

Objective
Scale monthly revenue without letting blended ROAS collapse below 3.0.
Strategy
Rebuilt the Meta account around three objection-led creative angles, moved discovery budget into Performance Max with brand excluded, fixed product feed titles and attributes, and added a post-purchase email flow with replenishment timing.
Services
Meta Ads, Google Ads, Feed optimisation, Email
+150%Sessions
2.5XBlended ROAS
+120%Revenue
-28%CAC
Sample case study

Manufacturing

B2B industrial manufacturer

Objective
Replace trade-show dependency with a steady inbound enquiry pipeline.
Strategy
Cleared crawl waste across 4,000 spec-sheet URLs, published 40 application-led pages, ran LinkedIn and Search campaigns against procurement roles, and introduced lead scoring before hand-off to sales.
Services
SEO, Google Ads, Content, Lead generation
+180%Organic traffic
+80%Qualified leads
-34%Cost per lead
4.2XPipeline value
Sample case study

Healthcare

Multi-city clinic network

Objective
Fill appointment slots across eleven locations without branches cannibalising each other.
Strategy
Rebuilt every Google Business Profile, published branch pages with genuine local detail, added per-location call tracking and set geo-fenced targeting boundaries with separate budgets.
Services
Local SEO, Google Ads, CRO, Analytics
+210%Map views
+96%Calls
+64%Bookings
-22%Cost per booking
Sample case study

FMCG

Packaged foods brand

Objective
Launch on three quick-commerce platforms without eroding existing marketplace margin.
Strategy
Built platform-specific pack sizes, prioritised eight high-velocity cities, fixed availability reporting and set advertising budgets tied to city-level contribution rather than national averages.
Services
Marketplace management, Quick commerce, Advertising
+143%Marketplace revenue
+31%Availability
2.9XAd ROAS
+22%Net margin
Sample case study

Education

Education institute

Objective
Reduce cost per enquiry across six different programmes during admission season.
Strategy
Replaced one generic enquiry page with six programme-specific pages, cut form fields from nine to four, and moved faculty and placement proof above the fold.
Services
Landing pages, Google Ads, CRO
+118%Conversion rate
-41%Cost per lead
+63%Enquiries
1.2sLCP
Sample case study

Retail

Online electronics retailer

Objective
Reduce checkout abandonment without giving away margin through free shipping.
Strategy
Session recordings located drop-off at the shipping step, so we surfaced delivery cost and date on product pages, added a free-shipping threshold indicator to the cart and simplified to guest checkout.
Services
CRO, Analytics, UX
+31%Checkout completion
+18%Revenue per visitor
-24%Cart abandonment
11Tests run

How we report

What a monthly review actually contains

Every engagement reports on the same four layers, in this order — because a channel metric only matters once the business metric is understood.

  • Business outcome — revenue, qualified leads, contribution margin
  • Efficiency — blended CAC, cost per qualified lead, payback period
  • Channel detail — ROAS, CPL, CTR and conversion rate by campaign
  • What we changed — every test run, its result, and the next decision

ROAS

3.8X

Blended, trailing 30 days

CPL

−31%

Qualified leads only

Conv. rate

4.6%

Site-wide after CRO

Payback

3.7 mo

Cohort average

Sample values for illustration.

Want to see what this would look like for you?

We will review your accounts and show you the first three things we would change, with the expected impact of each.

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