Work

What the work actually looks like.

Below are engagements and internal builds described by mechanism rather than by headline number. Client identities are withheld under confidentiality. Where the work was done on a brand or funnel we operate ourselves, we say so, because the distinction matters when you are deciding who to trust with your account.


Selected work

Three problems, and what fixing them required.

Own funnel — Tracking

Server-side tracking recovered the conversions the pixel never saw

A lead-generation funnel was optimising against browser-pixel data only. Comparing the platform's recorded conversions against the booking system's own records showed the pixel was reporting a fraction of real conversions, so the algorithm was learning from an incomplete picture.

We implemented a server-side Conversions API endpoint triggered by the booking provider's webhook, with event deduplication against the browser event so nothing was double-counted.

44%
Conversions previously unreported
Server-side
Ad-blocker resistant
Own brand — Storefront

A cart drawer that was quietly costing orders

On a live direct-to-consumer store, items added to the cart could not be removed from the cart drawer, and out-of-stock variants were still being tracked as purchasable. Both faults are invisible in ad-platform reporting: the traffic looks fine, the conversion rate just sits lower than it should.

We rebuilt the drawer's quantity and removal logic, added protection against out-of-stock variants entering the cart, and corrected the tracking events that were firing on unavailable products.

Live
Shipped to production
2 faults
Invisible to ad reporting
Own funnel — Acquisition

Kill thresholds calculated from the offer, not from a benchmark

A high-ticket funnel was killing new creatives at a spend threshold borrowed from low-ticket physical product campaigns. Against an offer worth many multiples more per conversion, that threshold was killing creatives before they had produced enough data to read.

We recalculated the break-even and target thresholds from the funnel's own measured close rate and average value per booking, then rewrote the kill criteria against those numbers. Creatives now run to a threshold that reflects what a conversion is actually worth.

3×
Correction to kill threshold
Per offer
Thresholds recalculated monthly

Want to know what is leaking on your store?

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