Introducing Kana for Marketers and Kana for Publishers

Agentic marketing is still so new that almost nobody agrees on what it actually looks like in practice. Is it an agent that builds your audience? Drafts your media proposal? Reconciles your campaign data at 2am so a human doesn't have to? The honest answer is: all of the above, and about a dozen more shapes we haven't even named yet. That's exciting, but it's also presenting some challenges for adoption from what I’ve heard from customers and prospects in my first few weeks here: "I believe agentic AI can change how we work…I just don't know where to actually start."

That's a fair place to get stuck. When a category is this new and this broad, the hardest part usually isn't the technology, it's finding the first, obvious win for your team.

Two Paths, Built Around Your Low-Hanging Fruit

So we did the work of figuring out where agentic marketing pays off fastest, for two very different jobs, and organized Kana's applications around that instead of around a generic feature list. Starting today, Kana comes in two purpose-built suites:

Kana for Marketers — for brand and demand-side teams. The fastest wins here tend to be the invisible grunt work: reconciling fragmented first-party data, catching churn signals before they cost you a customer, and turning campaign performance into a decision instead of a dashboard. Campaign management, marketing intelligence, customer engagement, and synthetic data generation all live here, built to replace guesswork with precise, data-driven action.

Kana for Publishers — for media companies and sellers. The low-hanging fruit on the supply side looks different: turning an RFP into a proposal in minutes instead of days, building an audience without looping in a data team, and reading category-level demand signals in real time. Audience creation, category intelligence, media proposals, and omnichannel planning all live here.

Same underlying agentic platform, same human-in-the-loop approach we've always built around. What's different is that we're no longer asking you to review all of the solutions we can provide and guess which ones apply to your business. 

Why I'm Excited to Be at Kana

I've spent the better part of 25 years in ad tech and martech (MSN, TACODA, Akamai, Sojern, Omnicom, Conductor, and most recently TruAudience at TransUnion) and in that time I've watched this industry solve the same identity, data, and measurement problems over and over, each time with heavier infrastructure. Agentic AI is the first shift I've seen that's genuinely open-ended rather than a heavier version of the same tools. Nobody has fully defined what it looks like yet, which means the companies that help their customers find a starting point win. That's the job I came here to do.

It also doesn't hurt that Kana was founded by Tom Chavez and Vivek Vaidya - two people who have a very successful track record in martech and adtech, and who know exactly what "category-defining" actually requires. My job is to take that foundation and turn a genuinely wide-open category into a roadmap that's concrete: not "here's everything agents could someday do," but "here's the first thing that will make your week easier." Kana for Marketers and Kana for Publishers is that roadmap's first step.

More to come soon. If you want a walkthrough of which suite fits your team, get in touch, we’re happy to point you down the right path.