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For almost 10 years, Suzy has helped the world's most ambitious brands do one thing really well: hear from real consumers, fast.
We built a platform where anyone could ask a question and get a statistically significant answer in hours. Not weeks. Not months. Hours. 350+ enterprises signed on — brands like Microsoft, Google, PepsiCo, Netflix, Procter & Gamble, Coca-Cola, and Nestlé — because they needed a faster, smarter way to understand the people they serve.
The gap nobody talks about
Here's the reality of enterprise marketing in 2026: the world does not have a data problem. It has an inaction problem.
The average marketing organization is operating across twenty-plus tools — dashboards, vendor reports, research decks, AI assistants, social listening platforms — with no single system that synthesizes any of it into a decision. According to Forrester, only 48% of business decisions are based on quantitative information and analysis. More than half of all decisions — including decisions that allocate millions in budget — are still made on instinct, anecdotal research, or whoever spoke loudest in the room.
The cost shows up everywhere. In delayed launches. In campaigns built on conflicting assumptions. In research that gets presented once and never referenced again. In three teams walking into the same meeting with three different versions of the truth.
Keen Decision Systems found that brands increased marketing investment by 15% in 2024 but saw only a 4% ROI boost in return. The reason isn't creative quality or media mix. It's that intelligence never becomes insight, and insight never becomes impact.
We've heard this story from our own customers — in their own words:
"A bunch of work that gets put into decks and then gets presented one time and then gets shoved in a folder somewhere." — Marketing leader, Suzy design partner
"How do we make the longevity of our research last? There are still nuggets across these things that can drive new innovations. And not everything needs to be researched." — Research leader, Suzy design partner
These aren't edge cases. They're the norm. Brilliant work being done by brilliant people — and then dying the moment it leaves the room where it was presented.
From research platform to decision engine
Today, we're announcing a fundamental shift in what Suzy is and what Suzy does.
The Suzy Decision Engine is a new enterprise platform built to close both gaps — the gap between intelligence and insight, and the gap between insight and impact. It's not a feature we added. It's a refounding: the same conviction we've had since day one, rebuilt from the ground up for what's possible today.
We named this company after a person for a reason. Suzy was always supposed to be someone you could turn to and say: "Given everything we know, what should we do?" Someone who knows your business, remembers the study from six months ago, and connects the dots across brands, quarters, and teams.
That's who Suzy is now.
What the Decision Engine actually does
The platform is structured around three layers — Intelligence, Insights, and Impact — that move your organization from understanding what's happening to knowing what to do about it.
Intelligence: Signals that are meant for you
Suzy watches the market and surfaces what actually matters to your brand — trends, cultural shifts, competitive moves — filtered for relevance, not volume. Every signal comes with a strategic recommendation so your team focuses on what deserves attention, not what's loudest.
Think of it as the difference between monitoring twenty dashboards and having a colleague tap you on the shoulder and say: "You need to pay attention to this."
But Signals isn't just a feed you scroll. You can talk to it. See a signal about a competitor move? Ask Suzy to cross-reference it against your last brand tracker. Spot a cultural shift in your category? Ask what your own consumer data says about it. The intelligence layer doesn't just surface what's happening; it connects it to what you already know, so you're never starting from scratch.
As one customer put it: "Suzy's insights helped us understand our audience on a whole new level. Their platform allowed us to adapt quickly and make confident decisions."
Insights: Context that never forgets
Every study, every data source, every piece of outside research your team has ever produced builds a persistent understanding of your business that compounds over time. The segmentation from 2023 that nobody can find? Suzy remembers. The institutional memory that walked out the door with the last person who left? Suzy kept it.
This is where the decision engine fundamentally changes how research works. Instead of research being a project with an expiration date, it becomes a living conversation. You ask, you learn, you ask again. Every answer makes the next one smarter.
Here's what that looks like in practice:
Before you field another survey, ask what you already know. Duplicative research is one of the biggest hidden costs in insights organizations. Ask Suzy: "Before I run another survey on [topic], what do I already know from studies I've already completed? Is there actually a gap worth fielding?" Sometimes the best next study is no study at all.
Find the conflicts your data is hiding from you. You ran three surveys. Two say go left. One says go right. Most people pick the two and move on. Ask Suzy: "Are any of my surveys telling me opposite things? Don't smooth it over — just show me the conflicts." Contradictions aren't a sign of bad research. They're a sign that something interesting is happening underneath.
Surface the insight nobody asked for. The highest-value finding is often the one nobody thought to look for. Ask Suzy: "What's the most surprising thing in this project that nobody's asked about yet? Something buried in a cross-tab that could change the strategy." Suzy runs the data cuts you didn't think to run — and tells you what she found.
And everything is grounded in what real people actually said. In a world that can generate anything, the one thing that can't be manufactured is what a consumer actually thinks. That's the foundation Suzy is built on — real consumers, answering real questions, about real decisions.
The most expensive sentence in business is "let me get you up to speed." Suzy never needs to hear it.
Impact: Recommendations that know you
Your CMO needs a strategy deck. Your media buyer needs a targeting recommendation. Your brand manager needs a narrative. Your creative team needs a brief. The same intelligence, translated for every stakeholder in the room.
This is the last-mile problem that kills more good research than bad methodology ever will. The data is done, but the argument isn't. A VP Marketing described spending weeks translating a completed study into something the C-suite could act on. Weeks after the research was already finished.
Suzy collapses that timeline. Here's what you can do:
Get a 60-second executive summary. Ask Suzy: "Write the executive summary for a VP Marketing with zero methodology context. Keep it under 250 words, scannable in 60 seconds. End with a confidence check." You'll get strategic headlines, clear recommendations, and a flag on which findings are rock-solid versus directional. No more translating research into English — it's already there.
Tailor findings for every room you walk into. Ask Suzy: "I need to present this specific set of findings to three different audiences: my CMO, my product lead, and my sales team. What would I emphasize for each, and what should I leave out?" Same source of truth, completely different emphasis, without rebuilding your deliverable three times.
Lead with the consumer story, not the data story. Ask Suzy: "Draft a 200-word narrative that tells the consumer story, not the data story. Use the research to ground it, but write it like I'm getting a room of VPs emotionally bought in. Flag if you're stretching the data." Data opens the door. Emotional resonance gets the decision made. Suzy gives you both with intellectual honesty built in.
Build the actual pitch, not just the summary. Ask Suzy: "Take the findings and write me the retail pitch — not a research summary, the actual argument for why they should pilot this in their stores. Include the strongest counterargument a skeptical buyer would raise so I'm ready for it."
"We fed it into digital teams. We fed that too, because you can look at that information and say, how do I take that same idea and bring it into web experience, bring it into backend B2B dashboards. A lot of what I do with my team is we then take those learnings and basically repackage them." — Marketing leader, Suzy design partner
That manual repackaging she describes? That's what the Impact layer automates, so intelligence travels across the organization at the speed the market demands.
What makes this different from everything else
Let's be direct about what the Decision Engine is not.
It's not a chatbot bolted onto a research platform. It's not a dashboard with a search bar. It's not another AI tool that summarizes everything and understands nothing about your brand, your category, or your competitive landscape.
And critically, Suzy is not omniscient. When she has the answer, she gives it to you straight. When the data is thin, she says so. When a question can't be answered with what exists, she tells you what it would take to close the gap, and offers to go get it.
This isn't a philosophical stance. It's built into the product. Ask Suzy "Which findings are strong enough to put in a deck, and which should I caveat or skip?" and she'll sort your results by confidence level: what to lead with, what to save for the appendix, and what needs another study before anyone should act on it. Ask her to "Play devil's advocate against your own summary" and she'll make the strongest case that the data points somewhere else. Not to undermine your work but to stress-test it.
In a world full of systems that will confidently make things up, the willingness to say "I don't know yet, but here's the fastest way to find out" is not a limitation. It is the entire foundation of trust.
A new category — and an invitation
The decision engine is not just Suzy's next chapter. It's an entirely new category of capability that every marketing organization will need within the next two to three years.
Others will follow us into this space. They should. The need is too vast and too urgent for any single company to serve alone. Five years from now, every organization that makes high-stakes decisions about consumers will have something like this. The question is whether they'll have stitched it together from a dozen tools, or whether they'll have Suzy.
We've been building toward this for nine years. We didn't arrive here because the market told us to. We arrived here because our customers did — over 400+ enterprise relationships, in hundreds of conversations, and in the work they've trusted us to do alongside them.
What comes next
We're rolling out the Decision Engine to customers over the coming weeks. If you're an existing Suzy customer, you'll hear from us as soon as your account is ready.
If you want the full story of where this started — including the midnight email that launched the company and the Slack message where our CEO first coined "decision engine" — read the Decision Engine Manifesto.
And if you want to see the platform live, join us on April 8 for a full breakdown. Register for the webinar here.
We named this company after a person seven years ago. At the time, it was a branding decision. Now it is the product.
And we are just getting started.
