Reducing Risk - Tip #3: Select the Most Restrictive Consent Category

When a new technology is deployed or when you’re implementing a CMP for the first time, one of the core steps is building an inventory of every technology on your site and assigning each one to a consent category. This isn’t just for documentation, the categorization directly drives how your CMP and TMS behave under the hood: which tags are allowed to fire, when they fire, and under what consent conditions. If the categorization is wrong, the enforcement is wrong. You can have a perfectly implemented CMP and still violate user consent simply because a technology was classified too loosely.

This is one of the more common failure points I see in CMP implementations. Not because teams don’t understand consent categories, but because they classify technologies based on intent instead of actual behavior or they aren’t aware the technology is composed of parts that do multiple things.

If a technology does anything that falls into a more restrictive category, it should be classified that way. Not the “primary” use case. Not what the vendor markets it as. What it actually does on the wire.

This builds directly on the same theme from Reducing Risk Part 1: How a CMP is Deployed Matters and Reducing Risk Tip #2: Reload on Consent Revocation: reduce ambiguity, reduce timing gaps, and don’t rely on best-case assumptions.

The Problem: Technologies Don’t Stay in Their Lane

Most CMP category models ask to classify cookies to specific consent categories. I’ve been opposed to this method for years since it only focuses on cookies and not on how each technology collects and sends data about the user and interactions (more to come on that in another post...). Those categories may include

• Analytics
• Functional
• Advertising
• etc.

The technologies loading on the page don’t often work in those silos. Here are a few examples:

1. Piggybacking Happens

A tag labeled “analytics” may:

• Load a vendor container
• That container loads additional scripts
• Some of those scripts make calls to ad networks or data brokers

At that point, it’s not analytics anymore. It’s at least partially advertising.

If you classify it as analytics, you’ve effectively allowed advertising under a less restrictive consent signal.

2. Single Tags, Multiple Behaviors

A lot of “functional” technologies quietly collect data:

• Video players tracking video engagement
• Form tools capturing field interaction
• A/B testing tools that capture visitor interactions that enrich user profiles

That data may:

• Be sent to analytics endpoints
• Be joined with user identifiers
• Be used downstream for profiling

If the tag fires before analytics consent, you’ve already lost control of that data.

3. Post-Processing Expands Scope

Some platforms are especially problematic here.

Take Google Analytics 4:

• At baseline, it collects analytics data
• But it can also:
  • Link to advertising products
  • Share audiences
  • Enable remarketing

The same implementation and data collection calls with different backend configurations (which cannot be easily checked as an outsider!) lead to completely different privacy implications. If those features are enabled (or could be enabled), classifying GA4 as “analytics only” is incorrect.

The Risk

If technologies are not classified correctly based on their operation, you are not honoring user consent and likely privacy laws. If a user opts into “analytics” and your analytics tag also enables advertising behavior, you’ve effectively bypassed their intent. That’s a classification/process failure, not a tooling failure.

You Lose Control of Downstream Data Usage

Once data leaves the browser:

• You can’t reliably claw it back
• You can’t guarantee how it’s used
• You can’t enforce consent boundaries retroactively

This ties directly to the reload strategy discussed in Reducing Risk Tip #2: Reload on Consent Revocation. If you’re not classifying correctly upfront, reloads don’t fix the root problem—they just limit future damage.

Audits Will Catch This

Whether it’s internal governance or external review:

• Network requests don’t lie
• Data flows are observable

If your CMP says one thing and your requests show another, it’s easy to prove.

How to Handle It

1. Classify Based on Actual Behavior

Instead of trusting the vendors or and their documentation, perform your own review of the data being passed by each technology

Open DevTools and look at:

• All network requests
• All domains contacted
• Payloads being sent
• Dependency chains for requests (this will take some technical know-how and digging)

If any request maps to a more restrictive category, the entire technology should inherit that category.

2. Isolate Dual Functionality

If a technology spans multiple categories, check with the vendors and documentation to determine if you can disable or isolate individual features that perform different actions. This isn’t that common, but some support it.

2. Default to the Most Restrictive Category OR Require Both Categories

If a technology spans:

• Functional + Analytics → treat as Analytics
• Analytics + Advertising → treat as Advertising

This is the safest and most defensible position. Another option is to require both categories to be enabled before loading the technology.

3. Break Apart Where Possible

If you need more flexibility:

• Disable optional features (e.g., advertising signals in GA4)
• Separate configurations where vendors allow it
• Use server-side controls to limit data sharing

But don’t assume separation exists if you haven’t verified it.

4. Re-evaluate After Configuration Changes

Consent classification isn’t static.

If someone:

• Enables a new feature
• Links a new integration
• Changes data sharing settings

You need to reassess the category.

This is where most implementations drift over time.

Bottom Line

Consent categories aren’t about what a tool is “for.” They’re about what it does. If you classify loosely without validating, you create risk for the organization. Be strict. Classify to the highest-impact behavior. Then design your implementation around that reality.