Unlocking Predictable Revenue: New AI Intelligence Empowers Community Financial Institutions to Drive Growth and Secure Loyalty

HUNTSVILLE, AL, January 07, 2026 /24-7PressRelease/ — DeepTarget, a fintech company that transforms data into predictable growth for community financial institutions, today announced the launch of Campaign Recommendations, a major enhancement to its Digital Experience Platform (DXP). Scheduled for release this month, the new intelligence engine leverages predictive AI to automatically identify high-value marketing opportunities, enabling financial institutions to launch targeted campaigns with a single click. This new capability will be available at no cost to all existing customers and is included as a standard feature in both the Professional and Elite subscriptions.

While traditional analytics dashboards show historical performance, DeepTarget’s new engine looks forward. It analyzes a financial institution’s entire user base to surface hidden revenue and engagement opportunities that might otherwise go unnoticed. The system categorizes these insights into actionable strategies, assigning a “Success Probability” score to each recommendation.

“Community financial institutions are often data-rich but time-poor,” said Preetha Pulusani, CEO of DeepTarget. “With Campaign Recommendations, we aren’t just handing them a report; we are handing them a roadmap. Whether it’s spotting an indirect borrower with potential for a fuller banking relationship or identifying a Gen Z account holder primed for a credit card, our AI does the heavy lifting so the marketer can focus on strategy.”

Key Capabilities Include:
• Generational Market Insights: A new visual dashboard segments the user base into five distinct cohorts based on generation. Marketers can view “Opportunity Heat Maps” that use color-coded data to instantly identify which products (such as auto loans or CDs) have the highest potential with specific age demographics.

• Predictive Success Probability: Every recommended campaign is backed by quantifiable metrics. For example, a recommendation to target accountholders in the 30 to 44 years age category for a credit card includes the projected audience, allowing banks and credit unions to prioritize initiatives with the highest opportunities for serving the financial needs of their membership or customer base.

• Holistic Lifecycle Management: The feature goes beyond simple product cross-selling to cover the entire customer journey. It includes dedicated recommendation modules for:
—Indirect Opportunity Conversion: Activating indirect borrowers (e.g., those with auto loans only) to establish full banking relationships by engaging them to open checking accounts.
—Digital Adoption: Identifying users with low digital engagement (e.g., less than three logins in 90 days) to drive mobile usage and eStatement adoption.

• One-Click Workflow: The interface is designed for efficiency. Marketers can instantly convert a recommendation into a live campaign by clicking “Create Campaign,” which allows them to design and execute a campaign with ease.

Availability
The AI-Powered Campaign Recommendations feature is rolling out in January 2026. It will be available immediately to all current DXP clients as a free upgrade and is now a core component of the Professional and Elite subscription tiers.

About DeepTarget
DeepTarget is leading the future of banking growth with its Intelligent Revenue Automation System™, a platform that transforms data into actionable decisions, new accounts, and meaningful digital engagement. Built on a powerful decision engine, DeepTarget leverages AI-driven predictive targeting and next-gen 3D user experiences to deliver personalized product recommendations across mobile, online, and branch channels. By integrating diverse data—from core systems to credit bureaus and transaction feeds—the platform powers intelligent cross-sell, retention, and acquisition programs for community financial institutions. Unlock your growth potential at http://www.deeptarget.com and connect with us on LinkedIn.

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