REAL WORK.
REAL RESULTS.

Four clients. Multiple channels. Results that speak for themselves.

AI & Automation Paid Media Social Media Content Creation Web Design E-commerce Growth B2B Lead Gen Scale-up Strategy AI & Automation Paid Media Social Media Content Creation Web Design E-commerce Growth B2B Lead Gen Scale-up Strategy
01 Case Study

MyCargoGate

The brief

Build a lead pipeline from scratch through paid media. No existing campaigns, no historical data. A full build from zero.

Logistics & Freight Google Search Performance Max LinkedIn 3-Month Sprint
The approach

The full paid media operation was built across Google Search, Performance Max and LinkedIn. On search, keyword strategy, campaign architecture and bid management were developed from day one. On LinkedIn, four ad formats were run simultaneously — single image, carousel, video and lead gen whitepapers — testing what resonated with logistics decision-makers and doubling down on what worked. Alongside both campaigns, friction points on the site were identified and UX recommendations made to improve lead capture efficiency throughout the sprint.

Google Search & Performance Max
314 Leads generated in 3 months, account built from zero
50% CPA reduction, from CHF 40 down to under CHF 20 through continuous optimisation
Steady Lead volume maintained as efficiency improved month on month
LinkedIn Paid Social
65 Leads generated across 4 ad formats
€9.14 Cost per lead — exceptional for B2B LinkedIn
The key win

The brief was lead volume. The real win was efficiency. By the end of the sprint the same budget was working twice as hard. At under €10 per LinkedIn lead in a competitive B2B sector, the social channel alone justified the entire investment.

02 Case Study

myDentist

The brief

Supporting the UK's largest dental provider across paid search and paid social. Focus on 60+ priority practices identified for growth, driving appointment bookings across key dentistry services at scale.

Healthcare & Dental Google Search Performance Max Meta Ads 3 Years 60+ Practices
The approach

Zain supported the account over a three-year period, starting with a full Modern Search Account (MSA) restructure — rebuilding the campaign architecture from the ground up to align with how Google's machine learning actually works, rather than legacy structures holding performance back.

Conversion tracking was overhauled next. With a site the scale of myDentist, tracking integrity is critical. URL-level tracking was implemented and validated across all 60+ focus practices to ensure leads were being attributed correctly to the right location. Without this foundation, budget decisions and bid strategies would have been based on unreliable data.

Ad copy review followed, identifying which messaging themes were actually driving patient action. This informed a full copy refresh, tailored at both a location and search term level, making every ad feel relevant and specific rather than generic. Meta ads ran alongside search to drive upper funnel awareness, keeping the brand front of mind ahead of active search intent.

Results — 2025 (post restructure)
85% Increase in traffic volume (clicks) year on year
22% More patients acquired year on year
559k Clicks generated across paid search
19,700 Conversions driven over the year
The key win

Three years of methodical groundwork — structure, tracking, copy — created the platform for explosive growth in year three. The 85% volume increase didn't come from spending more. It came from having built something worth scaling.

03 Case Study

UK Travel Brand

The brief

A UK travel brand operating across multiple destinations and booking categories required a paid search overhaul to unlock growth while protecting return on ad spend.

Travel & Transport Google Search Performance Max 6-Month Sprint
The approach

The account was restructured around a granular, destination-level campaign architecture, with dedicated Search and Performance Max campaigns built per journey segment. This allowed for precise bid management, budget allocation and creative messaging tailored to individual destination demand patterns, rather than relying on broad, aggregated campaign structures that dilute signal quality.

Audience layering and smart bidding configurations were implemented at campaign level, feeding cleaner conversion signals into the machine learning layer. Ad copy and asset strategy were refreshed to align with destination-specific search intent, improving relevance scores and reducing wasted impression share. With the structural foundations solid, budget was scaled methodically throughout the sprint.

Results vs previous period
55% Increase in clicks, from 232,411 to 360,336
350% Increase in conversion value, from £455,438 to £2,048,277
44% ROAS improvement, from 5.65 to 8.15
4m+ Impressions generated across the period
The key win

Scaling paid search across a complex, multi-destination product set without sacrificing efficiency requires architectural precision. By rebuilding at a destination-level granularity and feeding cleaner signals into smart bidding, conversion value more than tripled while ROAS simultaneously improved. Scale and efficiency, delivered together.

04 Case Study

UK Retail Brand

The brief

A major UK retail brand required a high-scale Meta paid social operation capable of driving measurable purchase revenue efficiently across a broad national audience, with creative testing at the core of the strategy.

Retail & E-commerce Meta Paid Social Q1 2026
The approach

The account was structured around a rigorous creative testing framework, with multiple campaign variants running simultaneously across catalogue sales, prospecting and retargeting objectives. Creative assets were rotated and tested continuously at the ad set level, with performance data used to identify winning themes quickly and reallocate budget toward top performers before creative fatigue set in.

Audience architecture was built to minimise overlap and maximise funnel coverage. Catalogue campaigns were configured to serve dynamic product ads personalised to browsing and purchase behaviour. Bidding strategies were configured to prioritise purchase value over volume, ensuring the algorithm optimised toward higher-value transactions. Creative iteration was non-negotiable throughout, with regular refresh cycles protecting CPM efficiency as spend scaled.

Blended and incrementality-based measurement was tracked alongside platform-reported data throughout, informing budget decisions beyond what native attribution alone would suggest.

Results — Q1 2026 (Meta native attribution)
35.84 Reported ROAS on £2,960,509 spend across 9 campaigns
£106m+ Attributed purchase conversion value
2.18m Attributed purchases at £1.89 cost per purchase
4.31% CTR across 662 million impressions at £0.10 CPC
The key win

At this level of scale, creative is the variable that moves the needle most. Disciplined testing, fast iteration and audience precision kept performance strong throughout the quarter. The incrementality lens ensured budget decisions were grounded in real commercial impact, not just platform-reported metrics.

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