CRM address validation verifies and standardises the postal addresses stored against your contacts and accounts using Royal Mail PAF data, fixing malformed, duplicated and out-of-date records. It works both at the point of entry and as a batch cleanse of existing data, so your CRM holds addresses you can actually deliver mail, invoices and goods to.
Why does dirty CRM address data cost so much?
Because errors compound. A small percentage of mistyped or outdated addresses at entry grows, over years, into thousands of records that break segmentation, waste mailing budget and produce unreliable reports. Validating against PAF stops the decay — start with our UK address validation API.
- Standardised, PAF-verified addresses across every record
- Fewer failed mailings, invoices and deliveries
- Accurate territory and segmentation reporting
- De-duplicated records from consistent formatting
How do I clean existing CRM records?
Run a one-off batch cleanse of your export against PAF, then switch on real-time validation so new records stay clean. Our dedicated address data cleansing service handles both legacy databases and ongoing entry.
Real-time vs batch cleansing
| Real-time at entry | Batch cleanse | |
|---|---|---|
| When | As records are created | On existing databases |
| Stops new errors | Yes | No |
| Fixes legacy data | No | Yes |
| Data source | Royal Mail PAF | Royal Mail PAF |
| Best used | Ongoing | Periodically |
Learn more about the cost of bad data
See how poor records erode revenue and trust in our bad CRM data breakdown, then talk to us about a cleanse.
Talk to us
Tell us your CRM and roughly how many records you hold — we'll scope a cleanse and ongoing validation.
Frequently asked questions
What is CRM address validation?
CRM address validation verifies and standardises the postal addresses stored against your contacts and accounts using authoritative data — Royal Mail PAF in the UK. It fixes malformed, duplicated and out-of-date addresses so your CRM holds records you can actually deliver mail, invoices and goods to.
Why does dirty address data hurt my CRM?
Bad addresses distort segmentation, waste direct mail spend, cause failed deliveries and undermine reporting. Because CRM data compounds over time, a small error rate at entry grows into thousands of unreliable records that erode trust in the system.
Can I clean existing CRM records in bulk?
Yes. AutoPostcode supports both real-time validation at the point of entry and batch cleansing of existing databases against PAF, so you can standardise legacy records and keep new ones clean going forward.
Which CRMs does it work with?
Any CRM that can call a REST API or import a cleansed file — including Salesforce, HubSpot, Dynamics and bespoke systems. Validation happens via a simple JSON lookup, so integration is not tied to a specific platform.
What data source is used?
AutoPostcode validates against Royal Mail's Postcode Address File (PAF) — roughly 31 million UK delivery-point addresses across around 1.8 million postcodes — the authoritative UK deliverability source.
How do I keep CRM addresses clean long term?
Validate at the point of entry so new records are correct from the start, then run periodic batch cleansing to catch drift. Combining real-time lookup with scheduled cleansing keeps your CRM continuously accurate.
Ready to get started?
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