Good outreach starts with good data.
Clean, score and shape what you already have so campaigns are easier to trust and easier to run.
Most B2B companies have more data than they know what to do with. Spreadsheets exported from LinkedIn. Lists bought years ago. CRM contacts nobody's touched since a trade show in 2019. It's all sitting there, and nobody wants to be the one to deal with it.
The problem isn't that you don't have enough data. It's that you can't tell the good from the bad.
I take your existing prospect data, whatever state it is in, and clean it, score it, and hand it back in an order that makes sense. The companies with active websites and strong signals go to the top. The ones with dead sites or obvious red flags go to the bottom. Everything in between gets ranked accordingly.
Correcting company names, removing duplicates, and standardising inconsistent records so your data is actually usable.
Companies with no active web presence get pushed to the bottom so you stop wasting time on businesses that no longer exist.
You tell me what a good client looks like and I build a scoring model around that. Every company gets ranked so your team starts at the top and works down.
Your original data, cleaned and scored, with an additional column showing the confidence rating for each record and flagged issues corrected where possible.
Each company in your list gets checked against a range of signals:
A dead or parked domain is a strong indicator the business has closed or gone dormant. It's highly unlikely you'd want to spend time on them.
A functioning, maintained website suggests an active business worth pursuing.
Mismatches between your CRM and what the company actually calls itself get flagged and corrected where possible.
Business type, size indicators, key words and other available data all feed into the final score.
I will not tell you I can make your data perfect. Nobody can. Contact details go stale, businesses close, and people move on. What I can do is make sure you are not wasting your team's time on companies that clearly are not worth pursuing, and that the best prospects are right at the top of your list when they start their day.
I'll also work closely with you early in the process to make sure you're happy with the way it's looking before I carry on with the whole dataset.
Your list is a mix of everyone. I score each record by how well it fits your target profile so you can focus on the right ones first.
Businesses close, websites go dark, contacts go stale. I flag the records with no active web presence so you stop wasting time chasing companies that no longer exist.
A migration is the perfect time to clean. Carrying bad data into a new system just gives you a tidier home for the same mess. I clean before you move, not after.
New job, an acquisition, or merged lists from a partner. You have no idea what state it is in. I audit it, score it, and give you a clear picture of what you're working with.
A spreadsheet is fine — Excel or CSV. If it is in a CRM, a simple export will do. I will work with what you have got.
Probably a few days. Larger datasets may take a little longer and I will give you a clear timeline upfront.
Primarily the latter. This service is about making the most of what you already have. If you need new prospect data sourced from scratch, get in touch and we can talk about that separately.
No hard minimum, but it makes most sense for lists of 5,000 records or more. Smaller than that and it's probably not worth paying me to do it for you.
It varies based on the size and complexity of your data. The best starting point is a free audit — send me a sample and I will give you a clear quote with no obligation.