The data you can't send is the constraint
In most categories the measurement question is how to collect more. Here it is how to collect enough while never transmitting the things you must not.
What's different here
Financial products carry two constraints most measurement work ignores. Application data is sensitive — approval status, product type, amounts — and must never reach a third-party tag, which rules out the convenient implementation almost every tag manager tutorial describes. And consent rejection rates are unusually high in this category, so an implementation that only works for consenting users loses a larger share of signal here than anywhere else.
Fintech & Financial Services clients
What analytics & measurement looks like for fintech companies.
These are the plays that wouldn't appear on a generic analytics & measurement page — they only make sense in fintech & financial services.
Keep sensitive parameters out of the tag layer entirely
Approval outcome, product type and amounts should never be pushed to a client-side data layer where any tag can read them. Server-side transmission with an explicit allow-list of parameters is the only implementation we would defend in an audit, and it is materially different from the default setup.
Design for a high rejection rate
Consent rejection is markedly higher in financial services than in retail. That makes consent-aware collection and modelled recovery worth more here than elsewhere — and it makes an implementation that quietly ignores consent a legal exposure rather than a technical shortcut.
Optimise on funded, not on applied
Applications are easy to buy and frequently uncorrelated with a funded account. Feeding the funding event back — server-side, with no sensitive attributes attached — is what stops the platform optimising toward people who apply and never complete.
Keep an audit trail of the methodology
Regulated firms get asked how a reported figure was produced. Written methodology, versioned, with changes dated, converts an awkward question into a document. It also stops the reporting model being changed quietly between quarters.
What holds fintech companies back
Marketing and finance report different numbers
Platforms double-count conversions and browser tracking misses a third of events. Both teams use real data and reach incompatible conclusions.
Compliance-heavy funnels kill conversion
KYC requirements, disclosures, and long application forms are necessary — and brutal for completion rates unless they're designed carefully.
You're optimizing the wrong event
Application starts are easy to buy. Funded accounts are what make money. Most fintech ad accounts are optimized to the former.
Ad platform policy restrictions
Financial services face heavy ad restrictions. Account bans and disapprovals stall growth for weeks if you don't know the rules cold.
The full scope.
Everything in a analytics & measurement engagement, applied to fintech & financial services.
Measurement audit and event map
Every event, where it fires, what it means and whether it correlates with revenue. Most accounts are optimising toward an event chosen because it was easy to implement rather than because it predicts money.
Server-side collection with deduplication
Events sent from your own infrastructure with a shared identifier so browser and server transmission cannot double-count. Running both without that identifier inflates conversions by a large margin, and teams celebrate it.
Consent-aware implementation
Collection that respects consent state by design rather than by a banner bolted on afterwards. This is a legal requirement in several markets and, done properly, recovers more usable signal than the non-compliant version most sites are running.
One revenue number, from your own systems
Blended efficiency calculated from your actual revenue and total spend. It cannot be double-counted or inflated by a platform, which is why it is the only paid metric that has not degraded.
Geo holdout test design and analysis
Switch a channel off in matched regions, run it past the purchase cycle, compare against control. It costs real revenue in the test markets and it is the only method here that answers the causal question.
Reporting a finance team will sign
A single view reconciling marketing-reported performance against booked revenue, with the methodology written down so nobody can quietly change models between quarters.
How this runs.
Audit and reconcile
Week 1–2We map every event and compare summed platform-claimed revenue against what your finance system actually recorded. The size of that gap is usually the moment the project gets prioritised.
Rebuild collection
Week 2–4Server-side transmission, deduplication, consent handling, and re-pointing optimisation at the event that correlates with revenue rather than the one that fires most often.
Validate against reality
Week 4–5A parallel run comparing new collection against your order data, because a tracking implementation nobody reconciled is a hypothesis rather than a measurement.
Design the holdout
Week 5–6Matched test and control regions, a run length set by your purchase cycle, and a pre-registered analysis so the result cannot be reinterpreted afterwards.
Read the result and reallocate
Post-testThe incremental figure usually differs sharply from the attributed one, most often on brand search and remarketing. That difference is the budget decision.
Hand over the documentation
OngoingEvent map, methodology and test protocol written down and yours. If you leave, the implementation does not stop making sense.
Fintech & Financial Services results, in detail.
Full case studies with the numbers, the mistakes, and the recommendations clients didn't want to hear.
Scoped like the core service, no surcharge.
Every engagement is quoted from your actual brief. There's no vertical surcharge for this combination — request a quote and we'll scope it properly.
Audit
Teams who suspect the numbers are wrong and need to know how wrong.
Scoped to your brief
- Full event and tag audit
- Platform vs actual revenue reconciliation
- Consent and compliance review
- Prioritised remediation plan
- Findings session with your team
- Documentation yours to keep
Rebuild
Companies acting on data they cannot currently defend.
Scoped to your brief
- Everything in Audit
- Server-side collection implementation
- Deduplication and consent handling
- Conversion event re-mapping
- Parallel validation against order data
- Blended efficiency reporting
- 60 days of post-launch support
Measurement partner
Accounts where testing needs to be continuous rather than a project.
Scoped to your brief
- Everything in Rebuild
- Quarterly geo holdout programme
- Ongoing reconciliation and QA
- Incrementality-informed budget guidance
- Board-ready reporting pack
- Named analytics lead
All engagements start with a free audit. Prices exclude media spend, which you pay directly to the platforms on accounts you own.
Fintech & Financial Services questions, answered straight.
That position is more workable than it sounds, and often the right one. Server-side collection with an explicit parameter allow-list means no third party ever receives anything you have not deliberately sent, which is a much easier conversation than defending a client-side setup where any tag can read the data layer. We would rather design to that constraint from the start than get an implementation approved and then discover what it was transmitting.
Other services for fintech companies
Let's talk about your growth constraint.
In most categories the measurement question is how to collect more. Here it is how to collect enough while never transmitting the things you must not.
Our commitment: The audit is fixed-fee and the findings are yours regardless — including if the conclusion is that your measurement is fine and you should spend the money elsewhere.