Our Commitment

Why We Care About Data Quality and Quantity

At Warmly, we know that your sales success hinges on the quality and quantity of the data you work with. We’re not just another data provider — we obsess over giving you data that actually moves the needle. That means investing in diverse sources, building robust ranking systems, and fine-tuning quality and quantity algorithms. We’re relentless about making sure the data you get is accurate, complete, and actionable.

Why does this matter? Because in sales, bad data isn’t just a headache — it’s lost deals, wasted time, and missed opportunities. The right data helps your team target the right prospects, personalize outreach, and close more deals. In short, it’s the difference between chasing ghosts and making real connections.

Our team stays on top of the latest data quality research. Poor data quality costs organizations an average of $15 million annually (Gartner), limits 35% of marketers in accurate ad targeting (LeadGenius), and can delay decisions, costing the U.S. economy up to $3 trillion (Experian). Additionally, 21% of companies report reputational damage from inaccurate data (Dataddo). These insights highlight the critical need for reliable, high-quality data.

This is why Warmly is committed to delivering data you can rely on - because your success depends on it.

Terms and their definitions

Data Quality: The accuracy that ensures each piece of data reflects what it’s intended to - making it reliable, actionable, and trustworthy.

Data Quantity: The breadth and depth of data coverage - giving you the volume you need to reach the right prospects at scale.

Search granularity / Filtering granularity: The ability to cross-reference internal business data to avoid duplicate reach-outs and correctly assign prospects - while also filtering data precisely to execute strategies that target your ideal customers with pinpoint accuracy.

Data Richness: The depth of metadata and context around each data point - empowering you to personalize outreach and engage more effectively.

Metrics and Specifics

For a detailed breakdown of the key data types Warmly provides—why they matter, how we collect them, and the steps we take to ensure exceptional quality, quantity, and enrichment—check out our dedicated articles. They cover these aspects in depth to help you understand how our data drives smarter decisions and better outcomes.

This article was written by the Customer Success team at Warmly. Please feel free to reach out to your CSM directly or [email protected]