After nearly a decade of helping consumer brands turn data into growth, Daasity is entering its most exciting chapter yet. The leading omnichannel analytics platform that started by solving data challenges for DTC brands is now becoming more AI-driven and pushing the boundaries of what's possible.
Under new CEO Tim Vollman, we've also shifted our focus to predictive and prescriptive analytics. Or as Tim puts it, not just “what” but “so what?” and “what next?” This technology doesn't just show you what happened, but tells you what to expect and what action to take.
The momentum is already building. In just three months under the new leadership, we've seen a 4X increase in demand. Let’s dive into what’s changing, and what that means for our customers.
How We Got Here
Daasity's origin story starts with a problem many growing brands know well: drowning in data but starving for insights.
Daasity founder Dan LeBlanc experienced this firsthand when former colleagues from his previous company, ProFlowers, started reaching out for help. They had left the data-rich environment of a $750 million business to join smaller eCommerce companies on platforms like Shopify. Suddenly, they felt like they were "flying blind."
"They were coming to me saying, 'Hey Dan, you helped build this data warehouse at ProFlowers where we were very advanced analytically. Can you help us build something so we can get the data like we used to get?'" Dan recalls.
What started as helping one company—Mvmt Watches—quickly snowballed. Within a year, Dan was helping five different brands and realized this was the future.
Recognizing that brands needed more than just digital analytics, Daasity’s next strategic move was to acquire Red Fox Analytics in 2024, making us the first truly omnichannel analytics platform built for the complexities of modern consumer brands. Today, over 600 brands trust Daasity to align their marketing, inventory, and promotional strategies across Shopify, Amazon, and retail channels.
New Leadership, New Direction
This spring, Daasity brought on Tim Vollman as CEO. Tim brings over 20 years as a serial entrepreneur with deep experience in both private equity and consumer packaged goods.
"What drew me to Daasity was the real opportunity around omnichannel spend analysis," Tim says. "No one has really figured out how to optimize spending across multiple channels at the same time and spend the proper amount in the right places."
We've also welcomed Dave Cox to the leadership team. A former professional golfer turned SaaS growth leader, Dave is helping us expand our reach across mid-market and enterprise brands.
Dan LeBlanc continues driving innovation in his new role focused on data strategy and analytics, ensuring our product vision stays rooted in what brands really need.
The AI Revolution: What's Coming Next
The biggest change at Daasity is our move into AI-powered prescriptive analytics. We're shifting from showing brands what happened to telling them exactly what to do next.
"Instead of just looking at data and looking for descriptive analytics, we're headed down the path of prescriptive analytics, which will lead you to selecting the proper channels to promote your products and really tell you where the highest ROI is," Tim explains.
We're currently building two exciting new capabilities:
- AI-Powered Conversational Analyst: Ask questions and get instant answers from your data, no more digging through dashboards required
- Promotion Predictor: Model and forecast campaign impact before going live, so you can optimize spend before you commit to it
We're already testing these capabilities with select customers, including a nearly billion-dollar company that can now quickly spot underperforming channels and fix tactics in real-time. The feedback has been overwhelmingly positive, and the full rollout for all customers is planned for October.
Looking ahead, we're building something even more revolutionary: AI agents that work like virtual analysts for every team member.
"We're building an AI analyst, essentially a set of AI agents in the platform, that can help answer questions and give tactical recommendations,” explains Chris Mauze, VP of Product at Daasity and Founder of Red Fox Analytics.
This solves a massive problem: right now, most sales and marketing managers need dedicated analysts to pull reports and answer data questions. Our AI gives every manager their own "data analyst" without the six figure hiring costs.
The Omnichannel Advantage
What makes this powerful is our focus on truly unified analytics. While other companies handle digital or retail well separately, we're tackling the harder problem of understanding how all channels work together.
"There are companies that do digital well. There are companies that do retail pretty well," Tim notes. "But no one has actually put the channels together and started to look at cannibalization. Do I run an ad at Walmart, and what does that do to my Shopify or Amazon site?"
We recently launched Daasity One, a redesigned platform with a cleaner interface, enhanced usability, and powerful prebuilt dashboards. Combined with our proven "Grow Sales" framework, brands can now scale profitably while ensuring ads never drive traffic to out-of-stock products.
The result: faster insights without technical expertise, better ROI across all channels, and world-class analytics with fewer internal resources.
For brands looking to dive deeper into retail strategy, we've also put together a comprehensive guide covering the fundamentals of retail analytics and how to strategically grow sales across all channels.
What's Next
As the retail landscape continues to evolve, we remain committed to helping brands turn data into growth. The AI capabilities we're building today are just the beginning. Our vision is to make advanced analytics accessible to every team member, regardless of their technical background.
We believe the future of consumer brand analytics means AI-powered insights that are effortless to obtain and drive real business growth. And for some brands, that future is already here.
Want to see where you stand? Our strategic tech assessment maps out your complete commerce technology stack and scores you across our six key pillars of data-driven success. You'll see exactly where systems are disconnected, where complexity is slowing your team down, and how you benchmark against similar brands in your industry.
