Data Cleansing
Improve data health. Protect your business.
Customer data powers every delivery, campaign, and contact. But over time, errors creep in. Our data cleansing services help you improve data quality across addresses, emails, and phone numbers ensuring your records are accurate, compliant, and ready to use.
Why data cleansing matters to your business
Bad data costs money. Failed deliveries, bounced emails, and invalid phone numbers waste time and damage trust. Fetchify's Data Cleansing service validates records against Royal Mail PAF® data, standardises formats for phone and email contact data, improves your data health giving longer-term usability and helps you keep your customer contact databases clean and compliant.
Address Cleansing
Fix, validate, and standardise UK addresses at scale using Royal Mail’s PAF® and Multiple Residence datasets. Catch missing flats, split house shares, and ensure every record is complete and deliverable.
Our easy to use bulk data cleansing service works on any address database whether your a retailer, insurer or healthcare provider.
Email Cleansing
Protect your sender reputation and improve campaign results. Identify invalid, inactive or mistyped email addresses, non-deliverable domains and high-risk addresses that could harm deliverability.
Bulk email cleansing can help you reduce bounce rates, improve open rates and keep your data fit for purpose.
Phone Cleansing
Standardise and validate customer contact phone numbers. Reformat mobile and landline numbers to the country standard and identify valid, invalid and incomplete numbers for cleaner customer contact.
Our bulk phone number cleansing improves contact success rates across sales, service and compliance communications
Data cleansing benefits
Increase delivery success
Accurate, complete addresses mean more parcels arrive first time, cutting waste and delays.
Improve Email Deliverability
Cleansed email lists reduce costs, improve campaign success metrics protect your sender reputation and reduce bounce rates.
Maintain GDPR Compliance
Keep records accurate and auditable, reducing regulatory risks from invalid or incomplete data.
Consistent, Standardised Records
Bring addresses, emails, and phone numbers into industry standard formats for easy use across systems.
Validate against trusted sources
Fetchify partners with the leading data providers to give you the most up-to-date results for reliable cleansing.
AI Data Analysis Health Report
Leveraging the power of AI, you'll recieve detailed insights into your data health along with recommendations to optimise your data capture long term
Data health checks for every industry
Better data health for eCommerce & Retail
Deliver a smoother checkout and fewer failed deliveries.
By cleansing customer addresses, emails, and phone numbers, retailers can prevent costly order errors, reduce returns, and improve delivery success - building stronger customer loyalty.
Optimise your CRM & Marketing contact data
Maximise campaign performance with clean data.
Running bulk cleansing on CRM records means better segmentation, fewer bounced emails, and improved targeting — driving higher engagement and ROI across marketing channels.
Secure your data in Finance & Insurance Services
Protect compliance and reduce fraud risks.
Accurate, validated customer records help financial services meet strict regulatory standards, lower fraud exposure, and maintain customer trust in highly sensitive industries.
Maintain trust & loyalty in Gifting & Subscriptions
Make every delivery personal and punctual.
Accurate address and contact details are critical when gifts, flowers, or subscription boxes need to arrive on time. Cleansing prevents failed deliveries and ensures customers enjoy a seamless gifting experience.
The hidden cost of poor data quality
Even the best customer data decays over time. Typos, outdated details, and invalid records all add up to wasted spend, failed communications, and missed opportunities. These stats highlight why regular data cleansing is essential for maintaining healthy, reliable records.
