Because PDL enriches so aggressively, our own customer records became a liability. We accidentally exposed inferred data (e.g., “likely income range”) to sales reps who had no business seeing it. Worse, PDL doesn’t offer granular field-level suppression. You either accept their full enrichment payload or build a custom middleware filter yourself.
PDL confirmed the data was theirs but clarified they did not own the server. It was a customer of PDL who had purchased the data for enrichment purposes and then neglected to secure it.
The exposure here is legal and reputational. A company may believe they are buying "business intelligence," but they are actually buying a compliance time bomb.
Rating: ⭐⭐☆☆☆ (2/5) Role: Head of Revenue Operations | Industry: B2B SaaS
In the modern data economy, "data enrichment" is often viewed as a standard hygiene practice rather than a security risk. Companies take their internal customer lists—often sparse, containing only a name and an email address—and cross-reference them with massive third-party databases, frequently referred to as Professional Data Lists (PDLs), to fill in the blanks.
Data enrichment is a powerful tool for businesses seeking to gain a deeper understanding of their customers. By enriching existing customer data with external data sources, businesses can improve customer segmentation, enhance customer experience, increase conversion rates, and reduce data quality issues. PDL's data enrichment solutions have helped numerous businesses expose valuable customer insights, driving business growth and revenue. As the importance of data-driven decision-making continues to grow, data enrichment will become an increasingly essential component of any business strategy.