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Intelligent Revenue Automation Generates $116.44 Per Digital User in Financial Institutions

By Burstable Editorial Team

TL;DR

DeepTarget's AI-driven digital engagement can generate $116.44 per user annually, giving financial institutions a significant revenue advantage over competitors using outdated marketing strategies.

DeepTarget's system analyzes real-time digital interactions to deliver targeted communications through AI-powered predictive targeting across mobile, online banking, and teller channels.

This approach helps financial institutions better serve account holders by providing personalized experiences that meet individual needs rather than generic messaging.

Financial institutions with 100,000 digital users are missing out on $11.6 million annually by not leveraging AI-driven engagement strategies for revenue growth.

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Intelligent Revenue Automation Generates $116.44 Per Digital User in Financial Institutions

A new whitepaper from DeepTarget Inc. reveals that financial institutions implementing Intelligent Revenue Automation can generate an average of $116.44 in incremental annual product revenue per digital user. The study, titled $116.44 Per User – Part 1: The Proven Revenue Value of Data & AI-Driven Digital Engagement, represents the first installment in a two-part series examining revenue opportunities within digital banking interactions.

The research quantifies substantial revenue leakage in traditional banking approaches, finding that a financial institution with 100,000 digital users misses out on $11.6 million in annual product revenue. This revenue gap stems from outdated marketing strategies that rely on broad segmentation and generic messaging rather than personalized, data-driven approaches. The whitepaper presents a blueprint for automated growth by transforming how financial institutions engage with their digital users.

DeepTarget's analysis demonstrates that when financial institutions analyze digital traffic in real-time—including login activities, transactions, and other account holder interactions—they can deliver targeted communications that significantly boost revenue generation. This approach fundamentally shifts digital channels from passive cost centers to active revenue engines, creating substantial financial impact for institutions that adopt the methodology.

The whitepaper includes case studies from multiple financial institutions that have successfully implemented these strategies. Ohio Valley Bank, Eglin Federal Credit Union, and Georgia United Credit Union all achieved measurable success by transitioning from static digital messaging to AI-powered analytical communication that adapts to individual account holder needs and behaviors.

According to Preetha Pulusani, CEO at DeepTarget, a significant divide is emerging between financial institutions that activate their digital channels as revenue engines and those focused on incremental improvements to outdated approaches. Institutions that quickly adopt data intelligence and personalized experience strategies will thrive in today's competitive market, while those treating digital engagements as passive cost centers will struggle to maintain relevance.

The full whitepaper, $116.44 Per User – Part 1: The Proven Revenue Value of Data & AI-Driven Digital Engagement, is available for download at https://www.deeptarget.com/. Part two of the series, $116.44 Per User – Part 2: Understanding Product Value – What Each New Account Actually Means, is scheduled for release in the first quarter of 2026 and will provide additional insights into the value proposition of new account acquisition.

The implications of this research extend across the financial services industry, suggesting that institutions embracing Intelligent Revenue Automation can significantly enhance their revenue streams while improving customer engagement. As digital banking continues to evolve, the ability to leverage data and AI for personalized communication represents a critical competitive advantage in an increasingly crowded marketplace.

Curated from 24-7 Press Release

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Burstable Editorial Team

Burstable Editorial Team

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