Projects that turned ad spend into revenue.

A Shopify brand was spending on Facebook and Instagram Ads, but Meta was only seeing part of its purchases. Browser-only tracking missed sales blocked by ad blockers and privacy settings, so the algorithm was optimising on incomplete data.

Rebuilt the Meta Pixel and added the Conversions API with event deduplication, improved event match quality and checked every purchase event against real Shopify orders. Campaigns were then restructured so Meta could optimise toward complete purchase data.

An online store ran one Performance Max campaign for its whole catalogue. Low-margin products took most of the budget, brand searches were counted as new sales, and purchase tracking was unreliable.

Fixed purchase tracking, then split Performance Max into campaigns by margin tier with brand exclusions and separate targets. Bidding started to follow profit rather than revenue alone, with performance tracked in a live dashboard.

A service business had useful expertise but little organic visibility on Google and was never mentioned when people asked AI assistants for recommendations.

Delivered technical SEO fixes, answer-first page content, FAQ sections and structured data, plus consistent entity information across the web, so the brand could rank on Google and be understood and cited by ChatGPT, Gemini, Claude and Perplexity.

A paid-traffic landing page received steady clicks from Google and Meta, but too few visitors completed the form, which kept cost per lead high.

Used Microsoft Clarity heatmaps and session recordings to find where visitors hesitated, simplified the form, clarified the offer and ran A/B tests on the most important changes before rolling out the winners.

A lead generation business optimised Google Ads toward form fills, but many leads never became paying jobs. Google had no way of knowing which clicks produced real revenue.

Connected GoHighLevel to Google Ads so qualified leads and booked jobs were sent back as offline conversions with values. Google Ads could then use value-based bidding to find more people like the best customers.