BERA.ai Launches Brand-to-Business(TM) AI Agent, Delivering Same-Day, Board-Ready Insights on Business Impact

BERA.ai, part of Stagwell's The Marketing Cloud (NASDAQ:STGW), launched its Brand-to-Business™ AI Agent, delivering same-day, board-ready reports on brand impact.

Rhea-AI Summary

BERA.ai, part of Stagwell's The Marketing Cloud (NASDAQ:STGW), launched its Brand-to-Business™ AI Agent, delivering same-day, board-ready reports on brand impact. The agent compresses analysis workflows from weeks or months to under an hour, helping CMOs link brand equity directly to revenue outcomes.

The AI agent builds on BERA.ai's Brand-to-Business™ methodology, using Consumer Cross-Sectional Modeling, Time Series Correlation, and Marketing Mix Model integration. It supports use cases such as brand valuation, budget defense, marketing mix optimization, and audience prioritization, and is available immediately to BERA.ai clients.

Argus May 11 session

-3.40% close to close Open Argus

Details

News Market Reaction – STGW

On May 11, the day this news came out, STGW closed 3.40% below the previous close.

Data tracked by StockTitan Argus for the May 11 session.

Market Context

This announcement extends STGW’s AI roadmap into board‑ready brand analytics by tying brand equity d...

Analysis

This announcement extends STGW’s AI roadmap into board‑ready brand analytics by tying brand equity directly to business outcomes within hours instead of weeks. It complements earlier AI launches across media and marketing. Investors may track how widely the Brand‑to‑Business AI Agent is adopted, how effectively it links brand metrics to revenue, and how it fits alongside other AI initiatives cited in recent AI‑tagged news and filings with Q1 performance details.

Key Figures

Brand equity lead time: 12 months

Brand equity lead time

12 months

Industry research cited that brand equity can predict performance up to this horizon

Previous AI Reports

5 past events · Latest: May 04

Same Type 5 events

1. May 04

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2. Apr 28

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3. Apr 27

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4. Apr 21

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5. Apr 06

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   Launch of Lou, a voice-enabled AI analyst in brand tracking platform.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

consumer cross-sectional modeling, time series correlation, marketing mix model (mmm)

3 terms

consumer cross-sectional modeling technical

"uses Consumer Cross-Sectional Modeling, Time Series Correlation, and Marketing Mix"

A consumer cross-sectional model is a statistical snapshot that compares many different customers at the same moment to identify patterns in buying, preferences, or risk—like taking a single photograph and labeling who behaves similarly. Investors use these models to estimate how a product or marketing change might affect sales, customer mix, or churn without waiting for long-term trends, helping forecast near-term revenue and judge the likely payoff of customer-focused strategies.

time series correlation technical

"uses Consumer Cross-Sectional Modeling, Time Series Correlation, and Marketing Mix"

A measure of how two sets of values collected over time move together — whether they rise and fall in sync, oppose each other, or show no clear relationship. Investors use it like watching two dancers: if one leads and the other follows consistently, the pattern can help predict risks, spot diversification benefits, or identify potential trading signals; if they move independently, they can reduce portfolio volatility.

marketing mix model (mmm) financial

"Time Series Correlation, and Marketing Mix Model (MMM) Integration to quantify how"

A marketing mix model (MMM) is a data-driven method that uses past sales and marketing activity to estimate how different channels—like advertising, price changes, promotions, and distribution—each contribute to revenue. Think of it like analyzing a recipe to see which ingredients most affect the final dish: it helps managers reallocate spending to the most effective tactics. For investors, MMMs matter because they improve sales forecasts, reveal marketing efficiency and risks to future growth, and inform valuation and budget-related expectations.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Converts weeks of analysis into hours, helping CMOs connect brand performance directly to business outcomes

NEW YORK CITY, NY / ACCESS Newswire / May 11, 2026 / BERA.ai, the only brand management platform that connects brand equity to business outcomes, today announced the launch of its Brand-to-Business^™ AI Agent, a new service offering that delivers same-day, board-ready reports on a brand's business impact. The new agent delivers timely, decision-grade brand insights to marketing and brand leaders exactly when they need them, cutting a process that once took months to complete to less than an hour.

The Brand-to-Business^™ AI Agent builds on BERA's proven Brand-to-Business^™ methodology, which uses Consumer Cross-Sectional Modeling, Time Series Correlation, and Marketing Mix Model (MMM) Integration to quantify how brand equity drives revenue. The new AI agent enables clients to request an analysis and receive a fully synthesized, presentation-ready report the same day, eliminating the bottleneck that has historically stood between brand teams and the financial proof points their leadership demands.

"Our clients don't operate on a two-week clock anymore. Their boards, CFOs, and CEOs want answers now," said Kraig Schulz, Chief Customer Officer at BERA.ai. "A CMO can now ask a question on Friday afternoon and walk into a Monday board meeting with a defensible, data-backed answer about how their brand is driving revenue. That's a fundamental shift in how brand intelligence gets used inside the world's biggest companies, and it puts our clients in a stronger position every time the budget conversation comes up."

The launch arrives at a moment when marketing leaders are under increasing pressure to justify brand investment with business outcomes. Industry research has consistently shown that brand equity is a leading indicator of revenue - in some cases predicting business performance up to 12 months in advance - yet most organizations lack the tooling to surface those insights at the speed of business.

The Brand-to-Business^™ AI Agent is available to BERA.ai clients immediately. It supports the full range of Brand-to-Business^™ use cases, including brand valuation, budget defense, marketing mix optimization, and audience prioritization.

BERA.ai is part of Stagwell's The Marketing Cloud (NASDAQ:STGW). For more information, please visit https://bera.ai/request-demo/.

About BERA.ai

BERA.ai is the only brand intelligence platform that measures the true Brand-to-Business^™ connection, proving how brand equity drives revenue, growth, and long-term value. Independently validated by third parties, BERA's approach delivers actionable insights that help the world's leading brands defend, justify, and optimize their marketing investments. BERA.ai is headquartered in Chicago, IL. Learn more at bera.ai.

About The Marketing Cloud

The Marketing Cloud (formerly Stagwell Marketing Cloud) is a data-driven suite of AI-powered SaaS and service solutions built for the modern marketer. Powered by proprietary data and advanced tools spanning research, communications, creative, and media, it enables organizations to achieve measurable business outcomes by making smarter decisions, faster. The Marketing Cloud was born out of Stagwell's (NASDAQ:STGW) award-winning network, known for delivering creative performance for ambitious brands.

Media Contact:
Alyssa Bourne-Peters, PR Director
Alyssa.Bourne-Peters@themarketingcloud.com
+1 917-592-9795

SOURCE: Stagwell

View the original press release on ACCESS Newswire

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What is BERA.ai's new Brand-to-Business AI Agent for STGW investors?

BERA.ai's Brand-to-Business™ AI Agent provides same-day, board-ready reports on brand impact and revenue contribution. According to BERA.ai, it automates analysis using Consumer Cross-Sectional Modeling, Time Series Correlation, and Marketing Mix Model integration to connect brand equity directly to business outcomes.

How fast does BERA.ai's Brand-to-Business AI Agent deliver insights for CMOs?

The Brand-to-Business™ AI Agent delivers a synthesized, presentation-ready report in less than an hour. According to BERA.ai, this replaces a process that previously took weeks or even months, enabling CMOs to respond quickly to board and leadership questions about brand-driven revenue.

When is BERA.ai's Brand-to-Business AI Agent available to clients of STGW?

The Brand-to-Business™ AI Agent is available to BERA.ai clients immediately. According to BERA.ai, marketing and brand leaders can already request on-demand analyses and receive same-day, board-ready reports that quantify how brand equity links to revenue and broader business performance.

What business use cases does BERA.ai's Brand-to-Business AI Agent support?

The Brand-to-Business™ AI Agent supports brand valuation, budget defense, marketing mix optimization, and audience prioritization. According to BERA.ai, these use cases help marketing leaders quantify brand equity's impact on revenue, strengthening their position in budget discussions and strategic planning.

How does BERA.ai's Brand-to-Business AI Agent connect brand equity to revenue?

The AI agent applies BERA.ai's Brand-to-Business™ methodology to quantify brand equity's effect on revenue. According to BERA.ai, it uses Consumer Cross-Sectional Modeling, Time Series Correlation, and Marketing Mix Model integration to create decision-grade insights that link brand metrics to financial outcomes.

Why is BERA.ai's Brand-to-Business AI Agent launch important for marketing leaders?

The launch addresses growing pressure on CMOs to justify brand spend with business results. According to BERA.ai, the agent lets leaders answer board and CFO questions with defensible, data-backed revenue insights, aligning brand intelligence with real-time budget and strategy decisions.