Better outreach starts
with better data.

01 / The challenge

Start with the business problem.

An international B2B supplier had thousands of prospect records, but useful companies sat alongside weak-fit entries and contact details that did not consistently match the company named in the same row.

The first task was to decide which records were credible enough for outreach, which needed further evidence and which should remain outside a campaign.

02 / Our approach

Make each step count.

1. 01

   Score the raw data

   Review records against the agreed market, geography, company type and commercial fit.

2. 02

   Apply a quality gate

   Flag mismatched email and company domains before misassigned records reach a campaign.

3. 03

   Check company evidence

   Review company websites where supplied data is too weak for a confident decision. The second review covered 1,094 websites.

4. 04

   Keep a review route

   Route stronger records towards controlled outreach and retain uncertain cases for a human decision.

03 / What changed

600 records recovered. Uncertain cases kept in review.

The first review produced an expanded pool of 838 clean A and B priority records, including an initial campaign list of 265 priority leads after mismatch removal.

Website research recovered 600 prospect records from the initially rejected group: 192 were graded A, 354 B and 54 C. Recovery meant a record could be reconsidered and prioritised; it did not mean every contact was ready for a campaign or interested in buying.

A further 367 uncertain records remained in manual review. The client received a repeatable route from raw data to prioritised outreach, with company evidence and a review path for records that could not be confidently classified.