Recent work. Measurable results.

Account had unstable ROAS and incomplete event coverage after iOS 14.5+. Reports didn't reconcile with actual sales.

• →Restructured into Advantage+ campaigns with cleanly separated audiences
• →Server-side CAPI implementation so tracking survives on iOS
• →Clean catalogue setup, with custom labels for profitability tiers
• →Creative testing pipeline on hooks and angles

Stable ROAS at a level that supports budget growth, with event quality score in green and attribution that reconciles with Shopify.

B2B SaaS with long sales cycle. Recent UK launch, no established pipeline from paid.

• →Defined ICP and a named list of 320 target accounts
• →LinkedIn ABM campaigns targeting C-level and HR director job titles
• →Google Search retargeting on LinkedIn engagers
• →Lead gen forms with qualifying questions to filter leads

Predictable pipeline from paid at a CPL that lets the sales team work without bottlenecks. MQL→Customer rate above market benchmark.

New clinic with limited online presence. Booked appointments came mostly via word-of-mouth, with no predictability.

• →Local Search campaigns with sitelinks to online booking
• →Call tracking integration to measure phone conversions
• →Reviews automation on Google Business Profile
• →Landing page optimised for conversion (booking + call)

Consistently full schedule within a few weeks, at a predictable cost per booked appointment that works for the business.

Strong demand on a small set of SKUs but undifferentiated campaign structure. Ad spend allocated across low-margin products. ROI flat for months.

• →Custom labels on the feed for margin tiers and velocity bands
• →Performance Max segmented into bestsellers, mid-margin and new arrivals
• →Search campaigns on generics where margins could absorb the CPC
• →Tracking cleanup + enhanced conversions for proper attribution

+84% sales growth and +23% ROI within the first 4 months. Spend went to products that actually paid back, not whatever the algorithm saw as an easy click.

Anonymised example from a real client account.

Boutique with strong brand and decent ROAS around 3X, but a plateau. Catalog ads were dragged down by generic products. Creative repetitive. Tracking didn't separate profitable from unprofitable products.

• →Catalog segmentation: hero pieces vs. clearance vs. new collections
• →UGC creative pipeline instead of studio-only product shots
• →Server-side CAPI to keep signal alive on iOS
• →Retention layer with Klaviyo + post-purchase Meta retargeting

ROAS moved from ~3X to ~10X year-over-year same-period. More importantly, blended margin improved alongside it — not just in-platform ROAS.

Anonymised example from a real client account.

Newly launched UK jewellery e-shop, zero sales, no brand recognition, competing with established brands.

• →Foundation phase: tracking, GA4, CAPI, clean feed before any spend
• →Cold prospecting on Meta with top SKUs as hero creatives
• →Google Shopping on non-brand searches, brand campaign as awareness grew
• →Gradual budget scaling against strict target ROAS thresholds

The shop reached ~£10K/month within ~12 months at a healthy target ROAS that the category margins could absorb. Foundation that holds during scale-up without restructuring.

Anonymised example from a real client account.

Medical practice with daily appointment occupancy around 50%. Limited online presence, no systematic acquisition channel.

• →Local Search campaigns on condition-specific keywords
• →Call tracking to know which keywords actually drive bookings
• →Google Business Profile optimisation and reviews automation
• →Service-specific landing pages with a clear booking flow

Average daily appointment occupancy ~85%. The bookings pipeline became predictable and measurable instead of relying on word-of-mouth.

Anonymised example from a real client account.

Restaurant full at weekends and rush hours, but big gaps on weekday nights and lunches. Branding-only social posts, no performance strategy.

• →Day-parted Meta campaigns with targeted offers in low-demand windows
• →Local Google Ads with booking links + call extensions
• →Set menu offers specifically designed for low-demand windows
• →Booking platform integration to measure actual reservations

Gradual fill-up of the weekday windows with higher-margin set menu bookings. Same venue, same capacity, materially higher monthly revenue.

Anonymised example from a real client account.

Live SaaS with PMF but no systematic paid acquisition. Channels tested in isolation, no shared attribution or coordinated funnel.

• →Omnichannel funnel across Google, Meta, LinkedIn with consistent ICP messaging
• →Attribution-aware budget allocation based on assisted conversions
• →Free trial → activation pipeline with retargeting on non-activated users
• →Onboarding email automations synced with ad messaging

Active users doubled in 6 months. More importantly, stable CAC and a healthy LTV/CAC ratio that allowed budget increases without breaking payback.

Anonymised example from a real client account.

E-shop with stable conversions but low average order value. Significant cart abandonment. Remarketing was burning budget without bringing incremental sales.

• →Targeted remarketing pools based on cart value and category interest
• →Bundle creatives and cross-sell ads for complementary categories
• →Free shipping threshold optimised for AOV uplift
• →Cleaner attribution to separate incremental remarketing from brand demand

Higher AOV, lower CPA, increased ROAS. Most importantly: better blended margin because the bundles had historically stronger contribution margin.

Anonymised example from a real client account.

Renovations company with high project value but low qualified lead volume. Generic landing page and campaigns without service segmentation.

• →Service-specific landing pages (kitchens, bathrooms, full renovations)
• →Lead form with qualifying questions for budget and timeline
• →Google Search on high-intent queries, Meta on early-funnel demand
• →Portfolio/before-after creative pipeline with authentic project photos

~300% increase in qualified leads vs. the previous period. Most importantly: lead quality became consistent, so the sales team worked on leads with real intent.

Anonymised example from a real client account.

Public sector organisation with a wide target audience and the need to communicate a specific message at national scale, with measurable reach and no advertising overreach.

• →Multi-platform reach campaign across Google, YouTube and Meta
• →Audience segmentation by age group and interest cluster
• →Strict frequency caps and brand safety controls
• →Brand lift study to actually measure recall and message resonance

Measurable national reach with clean per-platform and per-audience reporting. The public sector reporting requirement was met without sacrificing performance.

Anonymised example from a real client account.