The Growth That Missed Its Mark
A global healthcare enterprise celebrated record-breaking customer acquisition, yet profits fell flat. The culprit? Rising churn, stagnant upsells, and outdated pricing strategies. The analysis revealed a deeper problem: inconsistent, siloed customer data made it impossible to see—or act on—the full customer picture.
At Acceldata, our Agentic Data Management (ADM) platform helps organizations uncover untapped revenue by maximizing customer lifetime value (CLV) and profitability—with clean, connected, and trusted data at the core.
As Chief Revenue Officer at Acceldata, I’ve seen how hidden data gaps shrink margins. Capturing lifetime value isn’t the challenge—seeing it clearly is.
Silent Revenue Killer: Missing Customer Value Signals
When customer data is fragmented across systems, signals are lost—and opportunities vanish.
Forrester reports that 73 percent of business-to-business (B2B) firms now prioritize CLV as a core revenue metric. Yet 52 percent still struggle with siloed customer data, according to McKinsey.
Consider this:
A global financial technology innovator lost 20 percent in customer retention—costing $1 million—due to inconsistent insights across its sales, success, and support systems.
Unified, high-quality data is no longer a nice-to-have—it’s essential for growth.
How Agentic Data Management Unlocks Revenue
Agentic Data Management empowers go-to-market (GTM) teams with continuously validated, high-quality customer data—eliminating missed opportunities caused by unreliable information.

ADM enables organizations to:
- Optimize retention strategies
- Drive intelligent expansion efforts
- Improve profitability through consistent, governed insights
With ADM’s AI agents and Business Notebook, revenue teams gain visibility into the context and quality of their customer data—without relying on guesswork or patchwork fixes.
Key Features
ADM doesn’t perform predictive analytics or customer segmentation itself—but it ensures that the data fueling those activities is trustworthy, timely, and actionable.
Reduce Churn Risk
A financial technology company could use ADM to continuously monitor CRM and engagement records for completeness and accuracy. This could surface potential churn indicators early, allowing customer success teams to intervene with targeted outreach—preserving key accounts.
Expand Customer Value
A retail leader could increase CLV by 25 percent after using ADM to unify behavioral and transactional data across systems. With this reliable foundation, their marketing platform could deliver personalized upsell campaigns based on accurate customer insights.
Real-World Impact
ADM supports profitability and strategic growth by removing data friction across the customer lifecycle.
Optimize Pricing Strategies
A software-as-a-service (SaaS) provider improved profitability by 20 percent after using pricing analytics built on data validated by ADM. With clean, complete inputs, pricing teams could confidently adjust discount structures based on real usage patterns and market context.
Enhance Profitability Analysis
A manufacturing enterprise reduced operational costs by 15 percent by using ADM to reconcile data across finance and supply chain systems—enabling profitability models to reflect true customer costs and guide better segmentation and investment decisions.
Customer Voices
“Before ADM, churn went unnoticed. Now, its insights save our key accounts.”
— Customer Success Lead, Financial Technology Innovator
“Before, profitability was unclear. Now, ADM-powered analytics sharpen our focus with reliable inputs we can trust.”
— Chief Financial Officer, Retail Leader
A Chief Revenue Officer’s Perspective: True Growth Is Value Growth
We built Agentic Data Management in response to a problem we kept hearing: “We have the tools. We don’t trust the data.”
ADM doesn’t just connect systems—it continuously improves data quality, enforces governance, and makes the context behind every insight visible and explainable. This allows revenue teams to stop chasing signals and start acting on solid ground.
By 2030, artificial intelligence (AI)-driven revenue strategies are expected to generate over $1.2 trillion, according to McKinsey. But only enterprises with trusted data foundations will realize that opportunity.
ADM gives you that foundation—to unlock customer value, expand strategically, and grow profitably.
Key Takeaway
“ADM maximizes customer value for sustainable revenue growth—by delivering data teams can trust, explain, and act on.”
— Mike McQuaid, Chief Revenue Officer, Acceldata
Ready to Maximize Revenue Growth with Trusted Data?
- Book a Demo — See how agentic data management unlocks customer lifetime value.
- Join the Private Beta Waitlist — Be among the first to drive revenue growth with ADM.
- Read our CEO’s Blog— ADM Unveiled: Leading the agentic revolution.