Case Studies — Nosey Parkers

Case studies

Receipts, not promises

Every engagement is measured the same way we measure marketing: before, after, and in pounds.

E-commerceUK Homeware Retailer

Finding £23k/month of wasted ad spend with a full attribution rebuild

A seven-figure Shopify retailer was scaling spend on channels that looked good in platform reports but drove almost no incremental revenue. We rebuilt tracking server-side, reconciled ad platforms against order data and re-modelled attribution.

Tracking & AttributionServer-side GTMMarketing Dashboards

“For the first time we can see exactly which pound of spend produces which pound of revenue. It changed how we budget.”
— E-commerce Director

Tracked revenue accuracy

71%

98%

+27pts

Wasted monthly spend identified

£23,400

recovered

Blended ROAS

3.1x

4.6x

+48%

Before After

SaaSB2B SaaS Scale-up

Replacing 14 hours of weekly manual reporting with an automated pipeline

Marketing ops spent two days a week copy-pasting between ad platforms, HubSpot and spreadsheets. We built a Python + Azure pipeline feeding a Power BI suite with hourly refresh, plus AI-generated weekly summaries.

Python AutomationData EngineeringAI AutomationPower BI

“Reports that used to land on Friday afternoon now update themselves every hour. The team does analysis instead of admin.”
— Head of Marketing Operations

Weekly reporting effort

14 hrs

0 hrs

-100%

Data refresh frequency

Weekly

Hourly

168x

Reporting errors per month

eliminated

W12

Before After

Professional ServicesNational Legal Services Firm

Recovering Meta lead quality with Conversion API and CRM feedback loops

Post-iOS14, Meta campaigns optimised blindly and lead quality collapsed. We implemented CAPI with deduplication, fed CRM qualification outcomes back to Meta, and rebuilt campaign measurement around qualified leads.

Meta Conversion APICRM IntegrationsGA4

Event match quality

4.2

8.9

+112%

Cost per qualified lead

£184

£97

-47%

Qualified lead volume

112/mo

241/mo

+115%

Before After

RetailMulti-brand Retail Group

One warehouse, five brands: unifying marketing data on Azure

Five brands, five agencies, zero comparable numbers. We built an Azure data warehouse ingesting every ad platform, GA4 and ERP sales data, with a governed semantic layer powering group-level dashboards.

Azure Data WarehousingSQL DevelopmentMarketing Dashboards

“Board reporting went from a nine-day scramble to a morning's work — and every brand is finally measured the same way.”
— Group Finance Director

Data sources unified

single source

Month-end reporting time

9 days

1 day

-89%

Agency fee reduction

£8.5k/mo

saved

Before After

Want results like these?

Book a free discovery call. We'll look at your current setup, tell you what's broken, and show you exactly what better looks like — no obligation, no fluff.

Book Discovery Call Explore Free Tools