The Marketing Cloud is Broken
The next few years of your CRM marketing program come down to two decisions: how your team puts AI to work, and who you trust to help you do it. The Marketing Cloud is the wrong partner for this moment. Nimble, AI-native service providers will be your edge as the landscape evolves. Here is the case.
Your 2026, in a nutshell
Seventeen tools in your stack. At least three of them overlap. The Marketing Cloud is in your inbox right now, trying to sell you the next.
Every vendor promised AI this year, and little of it has changed your operation. Your CMO wants to know what the team is doing about it, and she means measurable impact this year. Not an 18-month pilot, and not a roadmap.
Meanwhile, the renewal math for The Marketing Cloud gets worse. The bill grew again, and it includes modules your team still is not using. Every new capability turns out to be another sales order, another integration, or another certified partner engagement before it does anything. You have lived this before: the demo was effortless, the deployment took three quarters, and the feature that closed the deal still hasn’t shipped. The same vendor that sold you simplicity now bills you to manage their complexity.
You are being asked to do more with AI, on a stack that was never built to deliver it, sold to you by vendors who profit when it stays complicated.
Why The Marketing Cloud is the wrong partner for this era
For most of your career, The Marketing Cloud was the workflow. But it was always bloated and expensive, because it was built to account for every use case. Endless configuration hours, engineering time, long contracts, and upgrades were necessary to make it run.
AI changes the constraint. It allows for a system built around your business model, your nuances, and your customer. No need to account for everyone else's.
Is The Marketing Cloud even going to be around in a few years? History is not kind to incumbents caught in big technology shifts. Cloud computing arrived, and Salesforce buried Siebel. Smartphones arrived, and Nokia went from 40 percent global market share to a rounding error in five years. Search pushed Yahoo from the homepage of the internet to an afterthought. The pattern is clear: the bigger the platform, the slower the pivot, and the more confident the incumbent sounds in the years right before the shift catches up to them.
You can already hear that confidence. The Agent Cloud. The Marketing Cloud dot AI. Read the announcements closely, and it is a chat assistant bolted onto the same screens, an agent that completes the old workflow a little faster, or AI sold as an upsell on the contract you already signed. We call it performative AI. It promises the future while protecting the present.
The shift that is already happening
AI is delivering on the promises The Marketing Cloud made, but could not live up to.
McKinsey's research articulates this clearly: 71 percent of consumers expect personalized interactions, and 76 percent get frustrated when they do not receive them. A/B testing emojis and button colors is not personalization. Deciding which experience will move each customer, and then acting on it: that is personalization, and it is now within reach.
Every marketing organization needs tools fitted to the realities of its business. AI adapts to your data, your customer, and your business in ways The Marketing Cloud can't match.
The winning CRM marketing operations run on clean behavioral signals, semi-autonomous agents that handle execution, and tools chosen because they are right, rather than bundled. It’s operated by people who know your business, applying judgment where it counts.
The marketer's job is moving up the stack, from configuration to strategy and judgment.
What good actually looks like
Your team's time goes to customer strategy, to creative, and to the judgment calls only a person should make. Semi-autonomous systems handle the repetitive work underneath: they detect the high-value customer going quiet, choose the next best experience, measure uplift, and synthesize all of it into an ongoing body of knowledge.
Your team does more, and moves faster. There are fewer pit stops between an idea and a result, and your company can begin to communicate with individual customers based on their context.
Good looks like a more nimble, connected, self-improving stack.
How we work
We build the AI-enabled system that fits your business, and we measure our work by your numbers: retention, conversion, revenue per customer. Not a platform you have to figure out on your own. Not a strategy deck. The outcomes.
Our implementation teams are cross-functional pods: a marketing strategist, a solutions architect, and engineers. We work with you to find where your CRM program can produce more, then build and run workflows fitted to your organization. Fifteen years inside enterprise CRM marketing programs back that work, along with tested infrastructure that connects your data to the most capable AI available.
We will not hand you a platform and wish you luck. We embed with your team and build alongside you until the outcome is real.
Choose wisely
The technology has shifted enough that you can now demand outcomes from your partners, instead of settling for what was. The next few years will separate the marketing teams that adapt, from the ones that stay with what is familiar.
We are offering something different. Choose wisely.
John Dobrowolski
John Dobrowolski is the CEO of Localytics. He is a seasoned technology executive with extensive experience in go-to-market leadership and a deep background in marketing technology and services. Before Localytics, John was a general manager, overseeing social advertising software businesses for ad tech leaders Skai and Nanigans. He played a key marketing and business development role as an early employee with MasterClass. Most recently, John ran his own consultancy and executive search practice, specializing in b2b saas startups. John holds a BA in Economics from Tufts University. He lives in Austin, Texas, with his wife and two kids.