The situation
Your compliance team wants proof that your marketing analytics won't hand nonpublic personal information to a third party, and "trust the vendor's defaults" is not an answer they can put in a file. They're not being difficult - they're being asked to sign off on a system nobody has actually documented.
Marketing, meanwhile, needs the same tools every other industry uses to run campaigns: conversion tracking, retargeting pixels, session tools. The tools aren't the problem by themselves - what they're configured to send, on which pages, is the actual question, and it's a question that usually has never been answered in writing.
The pain
Every new tag or platform feature ships with defaults built for retail, not regulated finance. Marketing either ships anyway and hopes, or waits on a legal review that never quite finishes, and either way the underlying question - what does this tag actually send - never gets a documented answer.
The result is a standoff that repeats every time a new platform feature launches: marketing wants to use it, compliance can't approve what it can't see, and the tag either goes live unreviewed or sits blocked indefinitely while a genuinely useful measurement capability goes unused.
What we implement
We map exactly what each tag sends, strip anything that touches nonpublic personal information before it leaves your domain, and route the rest through a server-side layer you control - this is server-side tracking with the identifiers and sensitive parameters redacted before they leave your infrastructure. The mapping itself becomes the artifact compliance reviews; the redaction rules are then enforced at the point of collection, not left to a vendor's settings screen. Because the rules live in infrastructure you control, a future platform update can't silently reintroduce the fields you decided to strip.
What you get
- A documented data flow compliance can sign off on once, instead of re-litigating every new campaign or tag.
- Analytics and ad platforms still receive enough signal to optimize, without carrying regulated data.
- Fewer defensive teardowns that kill measurement along with the risk they were meant to remove.
- A repeatable review process for the next new platform feature, instead of a one-off negotiation every time.
Illustrative example
A bank whose compliance team had blocked a new ad platform's pixel outright might, after a redaction layer is in place, approve the same pixel with the sensitive fields stripped before they ever leave the site - turning a flat no into a scoped yes without waiting for the platform vendor to change its defaults. Illustrative - the actual approval is legal's call in every case, not ours; this only changes what there is to approve.