Flowerplot, the AI data storytelling platform, launches today to help marketers turn survey data into content, faster.

Companies spend significant budget on survey research, but new data finds that most teams are blocked by data analysis.

We built Flowerplot to close the gap between research and content. It empowers anyone to uncover insights, design visualizations, and share findings while staying on brand.”

— Katherine Boyarsky, Founder, Flowerplot

According to new survey data from Flowerplot, the AI data storytelling platform for marketing teams launching today, 37% of companies spend between $150,000 and $500,000 annually on market research — surveys, panels, third-party data, and agencies — and another 10% spend upwards of $500,000. Turning that investment into finished content is slow and resource-heavy: 37% of teams say it takes one to two weeks or more to pull insights from survey data into marketing content, and the process involves four to five team members on average, from analysis through to publication.

Marketing Technology News: MarTech Interview with Mark Listes, CEO @ Pendulum Intelligence

As a result, 80% of those surveyed say they’ve collected survey data intending to use it in marketing content, but never did.

“Data analysts are underwater, and most marketers aren’t comfortable working directly with data,” says Flowerplot cofounder Katherine Boyarsky.

Boyarsky and cofounder Gabriela Pinto are also behind Datalily, the Boston-based content marketing and research studio that produces industry trends reports like the annual HubSpot State of Marketing Report, DoorDash Restaurant Trends Report, and Klaviyo AI Consumer Trends Report. Their work running hundreds of research studies and building marketing content from proprietary data highlighted the need for this new technology.

Flowerplot is an all-in-one, easy-to-use platform that allows marketers to manage survey data, analyze survey results, uncover insights and generate charts with Dot, an AI agent built into the platform, design custom, branded data visualizations, and publish or export charts for content.

Marketing Technology News: How MarTech Is Enabling Autonomous Brand Engagement Across Channels?

As a designer, cofounder Gabriela Pinto knows the challenges that data visualization presents when working with survey data. “There are tools built for design, and others built for data visualization, but with either one you’re sacrificing something,” says Pinto. “Flowerplot eliminates hours of manual work and helps improve accuracy because creative teams can work directly from survey data without having to manage data themselves.”

Early users include the marketing teams at Rippling, Knak, Triple Whale, Wistia, and SuperOffice. “I’ve been so impressed by Flowerplot. We can use it for so much,” says Veronica Borg, Content Marketing Specialist at SuperOffice. “As a marketer, I’m used to prompting AI, but Flowerplot’s AI agent makes it easy to get started. It’s like having a data analyst partner to consult with. We went from getting into the tool to finding interesting insights quickly.”