Fluent Inc Gains as Company Extends Partnership with Databricks
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Fluent Inc Gains as Company Extends Partnership with Databricks

Fluent Inc shares surged 17% after announcing a strategic partnership with Databricks to expand its data intelligence infrastructure.
Neither the author, Tim Fries, nor this website, The Tokenist, provide financial advice. Please consult our website policy prior to making financial decisions.

Fluent Inc (NASDAQ: FLNT) announced a strategic expansion of its data intelligence infrastructure through a new partnership with Databricks, sending shares soaring in Wednesday morning trading. The advertising company’s stock jumped 17% early in the session, reaching its highest level since February. The partnership marks the launch of Fluent’s dedicated data solutions arm, designed to empower agencies, platforms, and brands through privacy-first data collaboration, real-time audience modeling, and scalable activation capabilities.

Fluent Expands Partnership with Databricks

The partnership leverages Databricks’ Data Intelligence Platform and Delta Sharing protocol to enhance Fluent’s audience segment activation and compliant data monetization capabilities. As Chief Technology Officer Dan Hall explained, the initiative represents “a major step forward in how we help brands activate and scale their data” by investing in scalable, secure infrastructure that connects audience insights with performance more intelligently and efficiently.

The collaboration addresses the evolving digital ecosystem beyond third-party cookies, with Fluent positioning itself to future-proof audience strategy through privacy-first data products. The partnership enables seamless data collaboration across organizational boundaries using open, secure Delta Sharing technology, while supporting automated insights and measurement through AI-powered modeling. Sarah Branfman, Global VP at Databricks, emphasized that the partnership enables secure, open sharing of audience insights while maintaining data privacy and regulatory compliance.

Fluent also announced the appointment of Virginia Marsh as Head of Data & Agencies, bringing over a decade of experience across retail, CPG, AdTech, and MarTech sectors. Marsh will lead Fluent’s external data strategy, focusing on building privacy-safe, outcome-driven data products and deepening partnerships with agencies, platforms, and brands to enhance scalable data collaboration and monetization beyond Fluent’s existing operations.

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Fluent Shares Surge as Company Extends Partnership with Databricks

Fluent shares closed at $2.42 on Wednesday, up 10.45% from the previous close of $2.20, with trading volume reaching over 30 million shares compared to the average volume of 94,630. The stock hit an intraday high of $2.93, marking its strongest performance since February and representing significant momentum for the struggling advertising company. The 52-week range spans from $1.50 to $3.83, with analyst price targets averaging $3.00, suggesting potential upside of 36% from recent levels.

The company’s financial metrics reveal ongoing challenges, with a market capitalization of $59.3 million and negative earnings per share of -$1.37 for the trailing twelve months. Fluent reported Q2 2025 revenue of $44.7 million with a net loss of $5.85 million, reflecting the company’s efforts to navigate revenue declines while implementing strategic initiatives. The company maintains a debt-to-equity ratio of 139%, highlighting balance sheet pressures as it works to execute its transformation strategy.

Despite recent financial struggles, including auditor concerns about going concern status earlier this year, the Databricks partnership represents a potential catalyst for Fluent’s commerce media solutions business. The company’s commerce media annual revenue run rate exceeded $80 million, and recent partnerships, including additions like Authentic Brands Group, demonstrate progress in expanding its post-purchase monetization capabilities across brand portfolios.

Disclaimer: The author does not hold or have a position in any securities discussed in the article. All stock prices were quoted at the time of writing.

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