Springbig targets regulated retailers in North America and trades on the OTCQX market under SBIG.

Springbig unveiled AI Audience Builder, a natural-language segmentation tool that lets regulated retailers instantly create targeted audiences without manual filtering or data expertise.

Users describe target audiences in plain language and the system generates segments based on purchase behavior, campaign goals, and customer intent, processing real-time data to support campaigns, product launches, and events.

The new tool is a core part of Springbig’s AI-first strategy, integrating AI-driven marketing, loyalty, and analytics to reduce friction and boost operator efficiency and revenue.

The announcement comes as Springbig reports a market cap around $630,000 and trailing twelve-month revenue near $22.8 million, with its stock up about 37% in the past week amid a tough year.

The release highlights benefits during peak periods and high-traffic events, where timely messaging and rapid execution can significantly impact conversions and revenue.

Analysts and investors will likely scrutinize adoption trends, revenue growth, and profitability metrics given prior net losses and concerns about going concern, despite the AI expansion.

The launch builds on a history of product updates and integrations, including Face ID for gated links and Meadow loyalty/POS integration, with mixed stock responses tied to earnings and other product news.

Springbig serves retailers and brands in regulated industries across the U.S. and Canada and trades on the OTCQX market under the ticker SBIG.

The company operates across the United States and Canada, serving regulated retailers and brands.

The press release emphasizes real-time data processing to enable rapid responses to consumer behavior and efficient campaign execution.

CEO Jaret Christopher described the move as part of Springbig’s shift toward becoming an AI-first company, integrating AI across campaign automation, personalized messaging, and analytics.