Stop Chasing More Data: 6 Ways B2B Marketers Can Turn Data Into Growth

1. Think of Your Data as an Asset, Not an Expense

John introduced an analogy I particularly liked: every company has a data bank. Just as you make deposits into a financial account, every improvement to your data adds value. Removing duplicates, validating contact information, enriching company records and connecting additional intelligence all strengthen that asset. Eventually, those investments can create opportunities beyond more effective marketing and sales. Organizations may discover they possess valuable proprietary information that can support new products, services or revenue streams. The important distinction is that data isn't only something we purchase and consume. It's an asset we can continuously improve, and potentially monetize, provided we have the rights and appropriate controls to do so.

2. Fix the Data Before Demanding More Leads

John talked about working with organizations that needed to clean their CRM data, define their total addressable market and improve their account-based marketing strategies. But while that foundational work was underway, leadership kept asking the same question: Where are the leads? I think that illustrates a fundamental disconnect in B2B marketing. Companies will spend significant budgets on demand generation without first determining whether they're targeting the right organizations, reaching the right people or even working with accurate information. More leads do not solve those problems. Marketers need to understand what's already in their systems, what's missing and whether their existing data supports the growth strategy. Otherwise, the only thing you will be scaling is inefficiency.

3. Data Quality Directly Impacts Marketing Reach

Two companies can each have a database containing one million contacts, but still not have the same marketing opportunity. What if one database contains duplicates, missing job titles, inconsistent industry classifications and outdated contact information? John explained how those seemingly small issues compound when marketers attempt to build targeted audiences. That's why I believe data quality should be measured by more than record volume. Accuracy, completeness, consistency and usable audience coverage are what ultimately determine whether that data can support effective marketing.

4. Identity Resolution Connects Data to Real Marketing Opportunities

This part of our conversation was so relevant to the work we do here at OMI. Having accurate company and contact data is essential, but B2B marketers also need to reach those audiences across multiple channels. That requires connecting offline information, such as company and contact records, with the digital identifiers used in programmatic advertising, connected TV, social media and other environments. Identity resolution isn't just a technical consideration. It directly affects audience accuracy, media efficiency and our ability to understand how marketing contributes to results.

5. AI Makes Strong Data More Valuable, Not Less

There's tremendous excitement about AI's ability to automate research, improve workflows, enrich records and accelerate business operations. But John made an important point: AI still depends on the information and systems supporting it. If the underlying data is incomplete, poorly organized or inaccurate, automation can amplify those problems. On the other hand, AI combined with a strong data foundation can help organizations identify opportunities, improve enrichment, resolve duplicates and make better use of information they've already collected. For marketers, the lesson is straightforward: AI can help us work faster, but data quality still plays a huge role in determining the direction.

6. Invest in the People Who Understand Your Data

One of John's strongest recommendations was for executive leadership. Instead of automatically investing in more salespeople, more campaigns or more technology; consider allocating additional resources to revenue operations, marketing operations, sales operations and data science. These teams often understand the customer lifecycle, data gaps and operational challenges better than anyone else in the organization. At the same time, they're frequently expected to improve performance while simultaneously reducing costs. When organizations invest in the people and processes responsible for data quality, audience development and system integration, they strengthen the foundation that every revenue-generating function depends on.

Build the Foundation for Sustainable Growth

Toward the end of our conversation, John encouraged business leaders to reconsider the constant pressure for immediate growth. His advice wasn't to stop investing in sales or marketing. It was to make sure those investments are supported by accurate data, a clear understanding of the addressable market and alignment across the organization. I couldn't agree more. The companies that succeed with AI and data-driven marketing won't necessarily be those with the largest databases or the most sophisticated technology stacks. They'll be the ones that understand their markets, know how to reach the right decision-makers, connect their intelligence across channels and continuously improve the quality of their data. Because the real value of data isn't in how much you have – it’s how good it is and what it allows you to accomplish with it.

Listen to the full B2B Influence Podcast conversation with John Kosturos for more insights on data quality, identity resolution, AI and turning business data into a competitive advantage.