Client Snapshot

We delivered the sample file covering the competitor the buyer specified. The data quality checked out – but the buyer didn’t stop there. Before committing to a purchase, he had specific questions about how the data was sourced, what validation processes we used and how we ensured accuracy at scale.

Why this mattered:

In the observability market, growth marketing teams are data-literate by nature. They work with metrics, pipelines and signal quality every day. A buyer from this space isn’t going to accept “trust us, the data is clean” – they want to understand the methodology the way they’d evaluate a new data ingestion pipeline. We walked him through our sourcing and validation process in detail and the transparency earned the trust needed to move forward.

After clearing the methodology review, the buyer went one step further: he provided his own custom title taxonomy and requested a second sample built to those persona specifications. Only after validating that we could deliver against his ICP definitions – not just ours – did he proceed with the full purchase.

Two redirects. Two sample rounds. One methodology audit. Then a purchase built on verified confidence.

Data fields delivered per record: Contact name · Job title · Verified business email · Phone numbers · Company name · Website · Physical address · State · Country · ZIP code · SIC code · Industry · Revenue size · Employee size

We delivered approximately 3,177 verified companies and around 8,953 decision-maker contacts, all focused on the competitor within the client’s displacement target set.

Every record was filtered against the buyer’s own title taxonomy and validated through two sample rounds before full delivery. The dataset was built to the buyer’s specifications, not ours – a critical distinction in a market where growth teams know exactly who they want to reach.