CRM data cleaning service: what it actually does to your database
Not "improving data quality." The four specific passes, in the order they run, and the numbers they move — bounce rate, duplicate rate, and the share of your CRM that belongs to companies which no longer exist.
Most CRMs rot from the inside and nobody notices, because the symptom shows up somewhere else. Your reply rate slips. A campaign that used to pull 4% pulls 1.5%. Sales says the data is fine, marketing says the copy is fine, and the actual answer is that 19% of the database is pointing at companies that closed, merged, or rebranded onto a domain nobody updated.
B2B contact data decays somewhere between 22% and 30% a year — the figure moves depending on who's counting and which industries are in the sample, but the direction never changes. People change jobs. Companies fold. Domains lapse. A database nobody has touched in eighteen months is carrying a serious dead-weight fraction, and every send you make drags it along.
Here is what a cleaning pass actually consists of.
The four passes
Normalise and deduplicate — by domain, not by name
Company names are unreliable keys. "A&C Seamless Gutters", "A and C Seamless Gutters LLC" and "A&C Seamless" are one business and three rows. The email domain is the honest key. We normalise names and domains, collapse the duplicates, and keep the richest surviving record rather than the first one — so the row with a phone number and a contact name wins over the empty stub.
Re-verify every email — format, then DNS MX
A format check catches the typos and the pasted-in junk. The MX lookup is the one that matters: it asks DNS whether the domain runs a mail server at all. No MX record means no mailbox can exist there, so every send to that row is a guaranteed hard bounce. This is the single highest-yield cut in the whole process.
Confirm the company is still trading
Every website gets a live HTTP check. A row whose domain now returns a registrar parking page, a "for sale" splash, or a completely different business is a closure you hadn't recorded. These rows are worse than useless — they make your pipeline forecast wrong as well as your bounce rate.
Tag by confidence tier and hand back a funnel report
Survivors come back labelled: publicly-listed address (the business published it itself — strongest signal) versus pattern-inferred (info@domain on a domain confirmed to run mail). You get counts at every stage, so you can see exactly what left the database and why, instead of taking "cleaned!" on trust.
What the numbers look like
The same pipeline runs on new list builds, and we publish those figures because they're the honest illustration of what filtering does. On the roofing-contractor build printed on the front page:
| Stage | Records | What happened |
|---|---|---|
| Raw scraped | 279 | Everything the sources returned |
| Parsed usable | 185 | Rows with enough structure to work with |
| After dedupe | 161 | 13% of usable rows were the same businesses twice |
| Fully verified | 130 | Format + live MX + reachable website |
| Publicly-listed email | 73 | Top confidence tier |
From 279 to 130 is a 53% cut, and that's on fresh data collected the same week. A CRM that has been accumulating for two or three years, with multiple people importing spreadsheets into it, tends to look worse — not better.
The deliverability point. Mailbox providers score you on hard bounces and complaints. Once your reputation slides, it isn't only the cold campaign that suffers — your invoices, your replies, your follow-ups to real customers start landing in spam too. Dead rows are the cheapest reputation problem to fix, because removing them costs nothing but a DNS lookup.
What this service is not
Worth drawing the line clearly, because the category oversells.
- It is not a mailbox-level guarantee. An MX record proves the domain accepts mail. It does not prove
john@specifically exists. Anyone promising 99% mailbox accuracy without showing you an SMTP log is selling you a refund policy, not a verification. - It is not a data enrichment tool subscription. No seat licences, no dashboard to learn, no per-credit meter. You send an export, you get back a cleaned file plus the funnel report.
- It does not silently delete your records. Everything cut comes back in a separate file with the reason attached, so you can review it before anything touches your live database.
- It is not a substitute for authentication. Clean data plus a domain with no SPF, DKIM or DMARC still lands in spam. Fix both.
How the monthly retainer works
- You export. CSV out of HubSpot, Pipedrive, Salesforce, Close, a Google Sheet — whatever you actually use. We only need company, domain or website, and email.
- We run the four passes. Typically inside 48 hours for a database up to a few thousand rows.
- You get three files back. The cleaned database, the removed rows with reasons, and the funnel report with counts at each stage.
- A fresh verified batch is added. New leads in your niche, built through the same pipeline, so the database grows as well as shrinks.
- Repeat monthly. Cancel any time — it's a Stripe subscription, not a contract.
Pricing
| Plan | Price | What's included |
|---|---|---|
| One-off verified list | $149 | Up to 250 verified leads in any niche you name. Scraped, deduped, MX-verified, live-site-checked, delivered as clean CSV within 48h with the funnel report. |
| CRM cleaning retainer | $299/mo | Monthly dedupe of your existing CRM, re-verification of aging contacts, dead-company removal, plus a fresh batch of verified leads added each month. Cancel any time. |
For context on where that sits: agencies commonly quote $500–$2,000 for a one-time database cleanse of a mid-size CRM, and enrichment platforms charge per credit in a way that gets expensive the moment you're cleaning rather than prospecting. The retainer is priced to be the boring line item you never have to re-approve.
Try it on 25 rows first
If you'd rather not take any of this on faith — good instinct, and the buyer's guide is a set of checks you can run on us specifically. Send a 25-row slice of your CRM and you'll get it back cleaned, with the reasons, at no charge. It's the fastest way to find out what fraction of your database is already dead.
Start CRM cleaning — $299/mo
Monthly dedupe, re-verification and dead-company removal, plus fresh verified leads every month. Cancel any time. Or send 25 rows first and see what comes back.
Secure checkout via Stripe · first pass delivered within 48 hours
FAQ
What does a CRM data cleaning service actually do?
Four passes: deduplicate by email domain rather than company name, re-verify every address with a format check plus a DNS MX lookup, confirm each company website still resolves and isn't parked, then tag survivors by confidence tier and return a funnel report showing what was cut at each stage.
How often should a B2B CRM be cleaned?
Monthly if you're sending outbound weekly; quarterly at the absolute minimum otherwise. At 22–30% annual decay, a database left alone for a year is carrying a double-digit share of rows that will bounce on the next send.
Which CRMs do you work with?
Any of them, because the exchange format is CSV. HubSpot, Pipedrive, Salesforce, Close, Zoho, Attio, or a spreadsheet someone has been maintaining by hand — all fine. No integration to install and no access to your account required.
Will cleaning my CRM improve deliverability?
It removes the largest controllable cause of bad placement. Cutting dead domains typically drops bounce rate from double digits to under 3%. Authentication (SPF, DKIM, DMARC) and sending volume still matter — clean data won't rescue an unauthenticated domain blasting 5,000 emails a day.
Do you delete records without asking?
No. Removed rows come back in their own file with the reason for each cut, so you review before anything is applied to your live database.
Can you clean and also grow the list in the same month?
That's what the retainer is. The cleaning pass shrinks the database by removing dead rows, and the monthly verified batch adds new ones in your niche built through the same pipeline, so net size holds or grows while quality goes up.