KWERY.
Work

Proof should show how the thinking works.

Client outcomes first, then the systems that produced them.

Client work

Eight engagements, eight different bottlenecks.

Different industries, same method: find what's actually in the way, prove it, fix it, keep improving it. Each case shows how the diagnosis determined what we did next.

Case 01 · Music platform · Marketplace

Musosoup — an account that now learns as fast as it spends

the account learned slower than it spent

AI helps the team study competitors and sort tens of thousands of search terms by what people are trying to find. That analysis shapes campaigns and landing pages, while live dashboards show what happens after launch and what to improve next. After one year of working together, paid media had become Musosoup’s most important marketing channel. Revenue had more than doubled.

Result
2×
Company revenue
  • 50K+ Search terms classified
Case 02 · Insurance · Platform

Everything.Insure — scaling that stopped punishing the budget

twice the spend; fewer sales

An audit found that sales were not being accurately traced back to advertising. We connected customer records to advertising data, revealing which campaigns led to quotes and sales. That gave us the confidence to scale spend. On the channels we managed, Everything.Insure set sales records in two consecutive months. Performance has held at that level since.

Result
+80%
Sales
  • +60% Quotes
  • −15% Cost per sale
Case 03 · Life sciences · B2B enterprise

Mareana — from zero data to a working growth engine

zero marketing data; a sceptical leadership team

We built the financial model with Mareana’s new go-to-market lead, designed campaigns for a long enterprise sales cycle and connected ad spend to the deals recorded in the CRM. Leadership could now judge the investment against real numbers. What began as a hypothesis became a core part of company strategy, backed by a growing pipeline and signed deals.

Result
4×
SQL conversion rate
  • 0→1 Marketing-led growth, proven
Case 04 · B2B SaaS · Data software

360Science — grown from startup to acquisition

rollercoaster PPC; no way to plan around it

Working with 360Science’s best salespeople, we built personas and reshaped search around real buying intent. Salesforce tracked every lead from first click to signed contract, so the campaigns could learn from the deals that closed. Landing pages tailored to each buyer more than doubled conversion rates. Two and a half years later, 360Science was acquired by Syniti.

Result
+314%
Revenue
  • +283% Sales-qualified leads
  • Acquired By Syniti
Case 05 · Legal · Lead generation

Anthony Gold — a legal pipeline built from a standing start

fifteen firms fighting for four ad slots

We mapped the London market, forecast the economics and built the Google Ads campaigns from scratch. Tracking linked every click to a signed instruction, while new landing pages more than doubled conversion rates. Within a year, Anthony Gold’s new employment department had become London’s most visible settlement-agreement advertiser, with a reliable pipeline where none existed before.

Result
+93%
Revenue
  • +79% Qualified leads
  • 12→27% LP conversion rate
Case 06 · Property · Lead generation

Gaffsy — a drifting ads programme became a revenue engine

twenty scattered campaigns; spend disconnected from revenue

We consolidated the account into two focused campaigns and connected them to HubSpot. The team could now see which leads became sales and what they were worth; one location’s leads were worth up to ten times more. AI analysis of customer reviews exposed what sellers feared and shaped landing pages that answered those concerns. Together, the system lifted qualified leads and return on ad spend.

Result
+127%
ROAS
  • +53% Conversion rate
  • +89% Qualified leads
Case 07 · Cybersecurity · Global brand

ESET — cutting through in a market full of giants

household-name rivals; advertising had to work harder

With ESET’s in-house team, we rebuilt the programme around clear customer segments. Display and YouTube reached privacy-conscious buyers; paid search and Shopping used matched landing pages and custom automation. Attribution modelling showed which channels and messages brought in additional sales, so each month the team knew what to run and where to spend.

Result
+27%
Sales in 3 months
  • +52% ROAS
  • +32% Conversion rate
Case 08 · Retail · Shopify e-commerce

Smeikalbooks — built for the next market and the next channel

single-market account; expansion unbuilt

We prepared Smeikalbooks’ Shopify store, US product feed and Search and Shopping campaigns for expansion beyond the UK. Keeping the catalogue complete and well structured also prepares it for AI-assisted shopping: shopping assistants need that product data to understand the range and match a buyer’s question with a relevant title.

Result
UK→US
Market expansion
  • Live US market pilot

"This is our bread and butter now. We aren't stressing about hitting targets — it's not a one-off, it's a pipeline. It helps us plan, it helps us grow."

Aneil Balgobin — Head of Employment Law, Anthony Gold LLP
Our own systems

Building these taught us how to build yours.

Our own business runs on dozens of systems like these. Four of them are below. Building and running them is how we learned to design systems that hold up: what to automate, where human review belongs, how to keep everything cheap to change. When your problem needs a system of its own, that experience is what you're hiring.

Calls-intelligence automation

Meeting transcripts processed on a schedule, classified into decisions, objections, commitments and insights, then queued for human review. Institutional memory that doesn’t depend on anyone’s notebook.

The knowledge system

Proven method from leading practitioners in paid media, measurement and CRO, extracted, verified against its sources and organised for retrieval. It’s consulted before strategy work begins, so recommendations start from evidence rather than habit, and we can tell you where any recommendation came from.

This website’s build process

Independent AI diagnosis, converged under the founder’s direction, locked into a strategy contract, with every claim classified before copy was written. The process is documented end to end. Ask us to walk you through it.

The weekly intelligence brief

The ad platforms change weekly; most agencies find out on client budgets. Our pipeline reads the expert sources continuously and turns them into a weekly, decision-ready brief, so recommendations track where the platforms are going, not where they were.

The systems get replaced. The expertise stays.

Every system on this page will eventually be rebuilt with better tools. Some already have been. What survives is the accumulated expertise, and the documented method each build leaves behind. Neither comes with the tools, and both compound with every system we add.

Ask for the case that looks like yours.

Tell us the problem and we'll bring the closest work we've done to it: the real material, in a conversation, with client confidentiality intact.

Ask for relevant proof