Outcomes, with the
work behind them.

Each case below shows what was wrong, the approach taken, what was built and the measurable result. Client names are withheld where confidentiality applies.

520+

Campaigns managed

23K+

App installs

$0.58

Cost per install

565K+

Events measured

$205K

Attributed revenue

181K

Google Ads clicks

Selected historical campaign and measurement results. Past performance does not guarantee future results.

CASE 01B2B services — LinkedIn Ads

-74%

cost per lead

118K

clicks

2.13%

CTR

$143K

media managed

signal strength / relative

Client identity withheld for confidentiality.

Challenge: Lead costs were climbing and the sales team could not tell which campaigns produced real pipeline.
Strategy: Rebuild the audience structure around buying intent, separate prospecting from retargeting, and tie every lead back to CRM outcomes before spending more.
Execution: LinkedIn Ads restructure with audience layering, Insight Tag and lead-event validation, and a CRM-side review of lead quality by campaign.
Result: 74% reduction in cost per lead across $143K of managed media.

CASE 02Event marketing — Meta Ads

$3.26

average CPL

520+

campaigns

signal strength / relative

Client identity withheld for confidentiality.

Challenge: Recurring event cycles needed high registration volume without cost per lead drifting upward each round.
Strategy: Treat creative as the main lever, keep a steady testing cadence, and make sure registrations were recorded reliably on both browser and server.
Execution: Meta Ads creative testing at campaign scale, Pixel and Conversions API event coverage, registration validation before scaling budget.
Result: $3.26 average cost per lead sustained across 520+ campaigns.

CASE 03Fintech app — multi-platform acquisition

23K+

installs

$0.58

cost per install

90M+

impressions

signal strength / relative

Client identity withheld for confidentiality.

Challenge: Install volume was needed at a low cost, but in-app events were unreliable so nobody trusted the reported numbers.
Strategy: Fix the event layer first, then scale spend only on the sources producing verified installs and activations.
Execution: Multi-platform paid acquisition with Firebase and GA4 event instrumentation and install attribution rebuilt from scratch.
Result: 23K+ installs at $0.58 cost per install from 90M+ impressions.

CASE 04Multi-account advertiser — Google Ads

1.07K

conversions

181K

clicks

$0.33

average CPC

signal strength / relative

Client identity withheld for confidentiality.

Challenge: Several accounts ran in parallel with duplicated conversions and no shared view of pacing or performance.
Strategy: Consolidate account structure, rebuild conversion tracking so bidding had clean inputs, then reallocate budget to what converted.
Execution: Google Ads search restructure, conversion tracking rebuild, enhanced conversions and unified pacing across accounts.
Result: 1.07K conversions from 181K clicks at $0.33 average CPC.

CASE 05Cross-channel measurement rebuild

$205K

attributed revenue

565K

events tracked

signal strength / relative

Client identity withheld for confidentiality.

Challenge: Reporting disagreed with the ad platforms, so budget decisions were being made on numbers nobody trusted.
Strategy: Define one event taxonomy, implement it consistently, and QA every event before it was used for reporting or bidding.
Execution: GA4, Google Tag Manager and Firebase implementation with event taxonomy, validation and attribution reporting.
Result: 565K events tracked and $205K of revenue attributed back to source.

Selected historical campaign and measurement results. Past performance does not guarantee future results.

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Media
spend deployed
Tracking
events captured
Attribution
sources resolved
Conversion
revenue matched

One measured outcome

Idle

Let's find outwhat's leaking.

Let's find out
what's leaking.