Programmatic B2B

Company ⇄ Domain Lookup Case Study

Project Information

Client Representative Clients

Partnered with Programmatic B2B, LLC

Date November 2025

Case Study Mapping company names and domains accurately, bidirectionally, at scale

The Problem

 
At ProgrammaticB2B, we often find ourselves in candid conversations with peers across the B2B landscape – whether it’s a quick sync with a former colleague, a coffee chat with a fellow marketer, or a casual debrief after an industry event. The topics usually start with campaign performance or ABM tactics, but more often than not, they drift to a shared pain point: the surprising difficulty of getting a verified domain from a company name.
 

Many described spending hours manually researching domains, guessing email patterns, or sifting through outdated directories – work that’s not only tedious and error-prone but actively pulls focus away from what they should be doing: designing smarter campaigns, personalizing outreach, and refining account-based strategies. As one marketer put it, “This is the one thing where our effort should be near zero – so we can pour all our energy into strategy and impact.”

That shared frustration became the spark for a simple but powerful idea: What if getting the right domain was as easy as typing a company name?

The Hypothesis

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Building a bidirectional mapping between company names and verified domains would eliminate this hidden bottleneck. Simply having a list in Excel, uploading it into the app, and getting the desired result in one click would transform a traditionally slow and error-prone process into a seamless, reliable step.This approach would enable us to:

The Test

Leveraging its experience in the IT and B2B space, ProgrammaticB2B built an application using React, AI-assisted matching, and AWS cloud technologies to enable bidirectional mapping between company names and domains.

The system was tested with a dataset of over 100 real company-domain pairs to validate its accuracy and reliability.

The Results

After uploading a test batch of 100 company names, the system achieved a 97% success rate in retrieving verified domains, with an average confidence score of 93%. The entire mapping process took just 4 minutes and 33 seconds, a task that typically takes hours when done manually.

For B2B teams, this isn’t just speed. It’s hours reclaimed from tedious research and redirected toward strategy, outreach, and meaningful work.

With automated, high-confidence mapping, that grind disappears. Teams can now go from a raw list of company names to a clean, actionable dataset in under five minutes ready for CRM enrichment, outbound campaigns, partnership research, or compliance checks.

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