.avif)
Tags
Read time
4 min read
Last updated
March 11, 2026
🆕 Product update: Marketing Preference Management for the AI era
Ketch makes consent banner set-up a breeze with drag-and-drop tools that match your brand perfectly. Let us show you.
AI has officially arrived in marketing. Every team is being asked to move faster, personalize more experiences, and find smarter ways to activate customer data.
But underneath all the excitement around AI tools and new workflows, there’s a foundational question marketing leaders should be asking: is our data actually ready for AI?
Not just technically ready. Permission-ready.
Most marketing organizations today have plenty of customer data. What they often lack is a reliable system for managing the permissions, preferences, and signals that determine how that data can actually be used.
Consent lives in one tool. Communication preferences live somewhere else. Customer attributes are stored in a CRM or CDP that may or may not be synchronized with any of it. And somehow AI systems are expected to make sense of the whole thing.
That fragmentation creates real problems. Personalization becomes inconsistent. Valuable zero-party data gets captured but never activated. Marketing teams lose confidence in what they’re actually allowed to do with the data they have.
This is exactly why we’ve expanded our product capabilities for Marketing Preference Management at Ketch, with features designed specifically for enterprise marketing teams.
If you look at the systems and tools in most martech stacks, you’ll notice something they have in common: none of them were really designed to manage customer permissioning.
Marketing platforms assume consent is being handled somewhere upstream. CDPs assume the data flowing into them is already usable. Personalization tools simply take whatever signals they receive and try to optimize around them.
Privacy tools, meanwhile, tend to focus on compliance workflows and regulatory reporting. They’re essential, but they weren’t built to manage the operational reality of how marketing teams collect and activate customer preferences.
So brands end up in an awkward middle ground.
Marketing teams want richer customer profiles and more personalized engagement. Privacy teams need stronger governance over how customer data is used. Engineering teams are left trying to stitch together systems that weren’t designed to share these signals cleanly.
The result is something we see constantly when talking to marketing leaders:
At the same time, companies are being told to accelerate their zero-party data strategies and build AI-driven personalization. Those ambitions are absolutely achievable. But they require infrastructure that most organizations simply don’t have yet.
That’s where marketing preference management comes in.
Preference centers sound simple in theory.
Give customers a landing page to tell you what they want. Respect those choices across channels. Everyone wins.
In practice, launching a preference center inside a large organization can quickly turn into one of the more complex marketing infrastructure projects a team will attempt.
These initiatives often require coordination across multiple teams:
Add in CDPs, identity resolution, and campaign tools, and suddenly the “simple preference center” involves half the technology organization.
Even when companies successfully launch one, another issue often surfaces pretty quickly: the preferences don’t reliably reach the systems that actually power marketing experiences.
Customers think they’ve expressed their preferences. But the data never fully propagates across the stack, or it becomes inconsistent across platforms.
From the customer’s perspective, nothing really changes. And from the marketer’s perspective, the signals they worked so hard to collect never get fully activated.
A big reason this category has been difficult to solve is that companies often try to build marketing preference management as a standalone layer in their stack.
But the hardest problem in preference management is permissioning – knowing what customer data can be collected, how it can be used, and how those permissions should propagate across systems.
Consent management platforms already solve this problem.
They capture permission signals, enforce data use policies, and manage how those signals flow across digital properties and downstream systems. In other words, they already sit at the point where customer data collection and permission intersect.
That makes consent platforms a natural foundation for marketing preference management.
When communication preferences, personalization inputs, and other marketing signals are layered on top of that permissioning infrastructure, you get something far more powerful: a system that unifies consent, preferences, and activation.
“Consent moments are some of the most overlooked real estate in digital engagement.”
Tom Chavez, CEO & Co-founder at Ketch
But the real opportunity isn’t just improving those moments—it’s using the underlying consent infrastructure to power smarter, permissioned marketing.
This is the challenge we set out to solve with Ketch Marketing Preference Management, and today we’re introducing expanded capabilities designed for enterprise teams.
Ketch is built on a permissioning infrastructure that unifies consent signals, communication preferences, privacy choices, and personalization attributes into a single system.
Instead of scattering those signals across multiple tools, brands can manage them centrally and activate them across their marketing ecosystem.
Platforms like Salesforce, Segment, and Braze can receive synchronized signals about:
That means marketing teams can confidently use the data they collect to drive engagement, personalization, and AI-powered experiences.
Here are a few of the core capabilities behind the system.
.avif)
Ketch enables brands to capture high-value customer signals through progressive profiling and dynamic experiences.
Rather than relying on long forms or static preference pages, brands can gather meaningful information across the customer journey in moments where it feels natural.
These declared signals become durable customer attributes that power segmentation, personalization, and AI-driven marketing.
Collecting preferences is only part of the challenge. Keeping them synchronized across dozens of platforms is another.
Ketch orchestrates the flow of consent signals, preferences, and customer attributes across systems like CRMs, CDPs, marketing automation platforms, and messaging tools.
Instead of fragmented data across multiple tools, teams get a consistent understanding of what each customer wants, and what they’ve permitted.
Preference centers should feel like part of the customer experience, not an afterthought.
Ketch enables brands to build highly customizable, pixel-perfect preference centers that integrate privacy controls, communication settings, and personalization inputs into one cohesive interface.
Customers get transparency and control. Marketing teams get better signals they can actually activate.
Preference management initiatives have historically required heavy engineering investment and long implementation cycles.
Ketch simplifies deployment through native integrations and flexible architecture designed to work with existing martech stacks.
That allows marketing teams to launch faster without months of custom development or fragile integrations.
Marketing is entering a new phase. AI is becoming embedded in nearly every marketing workflow, from segmentation and campaign optimization to personalization and content generation.
But those systems depend on something that often gets overlooked: trustworthy data foundations.
That’s the foundation we’re continuing to build with Ketch Marketing Preference Management. Because the future of marketing won’t just be data-driven – it will be permission-driven.
