Updates, insights and thinking from the team.

How to Structure a Proof-of-Concept (POC) for Evaluating a Data Provider

Running an effective data provider proof-of-concept requires testing match rates using LinkedIn URLs and domain coverage with persona filters. Define clear success criteria upfront including match rates, email accuracy, and data freshness to avoid expensive mistakes and months of frustration.

Why Smart B2B Platforms Are Ditching APIs for RevenueBase and Scaling Faster

Smart B2B platforms are abandoning API-based data vendors for RevenueBase's flat-file model, gaining full dataset access without per-call costs or rate limits. Companies like GoTo and Guru now ingest complete people and company datasets to run their own matching and filtering logic at scale.

May 2025 Release Notes

RevenueBase's May 2025 update added 44 million fresh contacts and removed 6.6 million outdated records, bringing the database to 294 million business contacts. The release includes 10.2 million new verified emails and enhanced team size tracking across 15 departments with monthly refresh frequency.

April 2025 Release Notes

April's major refresh added 110 million contacts while removing 42 million outdated records, bringing the total to 243 million contacts. All 60+ million companies received monthly updates, and email re-verification now occurs every 60 days to maintain 95%+ deliverability rates.

March 2025 Release Notes

March updates included 24.4 million new contacts and 6.5 million verified emails, plus new features like monthly funding updates and last-verified timestamps. RevenueBase now tracks 174.7 million total contacts with enhanced transparency through real-time data freshness reporting.

The “Black Hole” Email Trap That’s Wrecking Your Sender Reputation

Catch-all email servers and black hole addresses silently accept messages from 10-20% of B2B domains without delivery, misleading traditional verification methods. Domain-level verification bypasses these traps to protect sender reputation and ensure accurate contact validation without triggering spam filters.

7 Tips for Conquering Cold Calling Objections (and How RevenueBase Gives You the Edge)

Cold calling objections often signal prospect engagement rather than rejection, providing opportunities to address concerns through active listening and tailored responses. High-accuracy contact data enables more personalized approaches and reduces wrong-contact objections that derail conversations before they begin.

February 2025 Release Notes

February's data release added over 13 million new contacts and 5.4 million verified emails while removing 11.5 million inactive records. RevenueBase continues rolling updates of nearly 1 billion LinkedIn profiles monthly, with plans to add last-updated timestamps for enhanced data transparency.

Establishing a Data Governance Framework: Why It Matters and How to Get Started

Data governance establishes policies, standards, and processes to ensure organizational data remains accurate, secure, and usable throughout its lifecycle. Effective governance requires clear objectives, robust security measures, integrated systems, and regular reviews to transform data into a trusted competitive asset.

RevenueBase’s Data Pricing Philosophy: All-You-Can-Eat for AI-Driven Workflows

RevenueBase offers unlimited data access through flat-rate pricing instead of traditional per-credit models that force companies to ration usage. This approach aligns vendor incentives with data accuracy rather than volume sales, while providing regular updates to maintain freshness for AI workflows.

WTF Are NAICS Codes? A Look at Their History, Purpose, and Why They Matter for Modern B2B

NAICS codes are six-digit identifiers used across North America to classify businesses by economic activity, replacing the outdated SIC system in 1997. These codes enable targeted B2B marketing, regulatory compliance, and market analysis by providing standardized industry classifications from broad sectors to specific niches.

B2B Data Vendor Dirty Secrets #4: “Per-Credit” Pricing

Per-credit pricing models in B2B data create perverse incentives for vendors to maintain lower accuracy rates, ensuring customers repeatedly purchase credits for replacements. RevenueBase's unlimited subscription model aligns vendor success with customer data quality outcomes.