Case Study: London Coworking Brand | ThinkingMan Creative

// The situation

They were spending. They just didn't know what was working.

This London coworking brand was running paid campaigns on both Google Search and Meta with a modest monthly budget. On paper, conversions were happening. In reality, the numbers weren't telling the truth.

The form fill conversion tag was double-counting, firing multiple times per submission across both platforms. Every reported lead was inflated. Every CPL figure was meaningless. And because the signal feeding back into Meta and Google's algorithms was corrupted, the platforms were optimising towards nothing real.

"When your conversion tracking is wrong, everything downstream is wrong too: your CPL, your targeting, your bidding strategy, your confidence in the data. You're not just getting bad reports. You're making decisions based on a lie."

The problems

Broken measurement. No quality signal.

Double-counting tags inflated lead volume and sent corrupted signals to both platforms, causing them to target the wrong audiences. And even where real leads came in, there was no CRM loop to identify which ones were actually converting. Volume without quality is just noise.

// The approach

Fix the foundation first.
Then build on it.

The methodology here follows ThinkingMan's core principle: instrument before you spend. No budget optimisation was touched until the measurement was clean.

// 01

Instrument

Rebuilt conversion tracking from scratch

Removed the double-counting form fill tag and rebuilt clean, single-fire conversion events. Added engaged session tags so the platforms had something real to optimise towards.

// 02

Signal building

Built quality signals before scaling spend

Used engaged session data to teach the algorithms what a quality interaction looked like. Volume came later. Only once the signals were trustworthy.

// 03

CRO

Improved the landing page before increasing traffic

The form was moved higher based on engagement data to reduce friction. Ad copy was rewritten to be more informative so prospects could self-qualify before submitting.

// 04

Creative & Copy

Rewrote ads to attract better-fit prospects

Google copy provided more detail so clicks came with intent. Meta creative led with specifics rather than brand awareness, filtering out poor-fit audiences before the click.

// 05

Funnel & Quality loop

Connected CRM data to close the loop on lead quality

A Salesforce integration fed lead quality back into campaign optimisation, so targeting refined based on actual SQLs, not just form fills. A TOFU/MOFU funnel on Meta then re-engaged prospects who hadn't converted first time.

// The results

Four and a half months.
Every metric moved.

From a corrupted baseline with inflated lead counts and no quality signal, to a clean, accountable paid media engine with measurably better leads.

120%

Increase in leads

Real, verified leads. Not the inflated counts the double-firing tag was producing.

46%

Reduction in CPL

Achieved through better landing page performance, tighter targeting and cleaner algorithmic signals.

38%

Improvement in SQL rate

Measured via the Salesforce quality loop. More leads converting to sales-qualified opportunities within 4.5 months.

2.5x

ROAS

Against a ~£4k monthly budget, meaningful return on a spend level most agencies would consider too small to optimise seriously.

4.5

Months to full results

Compound improvement. Each phase built on the last. Month one was foundation. Month four was momentum.

£0

Wasted on bad tracking

Every pound spent after month one was backed by clean data, real signals and a measurement foundation that actually worked.

"The 120% lead increase sounds dramatic. But the more meaningful number is the 38% SQL improvement, because that's the one that affects revenue. Not just the dashboard."

// TRACKING_REPORT.log

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// The takeaway

Double-counting tags are more common than most businesses realise.

If your CPL looks suspiciously low, or your lead volume doesn't match your actual enquiry inbox, your tracking might be lying to you too. This is why we fix measurement before we touch spend. Every decision downstream becomes defensible when the data is actually true.

Methodology applied

Instrument → Signal → CRO → Scale

ThinkingMan's five-step process. Foundation in month one. Compound results from month two onwards. The Salesforce quality loop moved this from a volume game to a full-funnel quality engine.

120% more leads.
46% lower CPL.
38% better quality.

They were spending. They just didn't know what was working.

Fix the foundation first.
Then build on it.

Four and a half months.
Every metric moved.

Double-counting tags are more common than most businesses realise.

Think your tracking might
be lying to you?

120% more leads.46% lower CPL.38% better quality.

They were spending. They just didn't know what was working.

Fix the foundation first.Then build on it.

Four and a half months.Every metric moved.

Double-counting tags are more common than most businesses realise.

Think your tracking mightbe lying to you?

120% more leads.
46% lower CPL.
38% better quality.

Fix the foundation first.
Then build on it.

Four and a half months.
Every metric moved.

Think your tracking might
be lying to you?