New tool to boost GDPR compliance and cut retailers losses
Fetchify is delighted to announce that we have enhanced our product portfolio with the launch of our data cleansing services designed to help companies remain compliant with the General Data Protection Regulation (GDPR), maintain accurate customer addresses, and limit financial and reputational losses resulting from lost parcels.
Royal Mail’s Postcode Address File (PAF) sees over 1,000,000 changes to address data each year. Against the backdrop of GDPR regulations, which stipulate that customer data must be kept up to date, there is increasing pressure on organisations to maintain an accurate picture of their customer database at all times.
Businesses failing to comply face fines of up to £17.5 million or four per cent of global annual turnover.
Furthermore, with UK businesses losing an estimated £1.6 billion each year due to lost or undelivered parcels, and 50 per cent of customers abandoning a brand after one poor delivery experience, the stakes are increasingly high when it comes to maintaining accurate address details.
Data Cleansing tackles this by checking the addresses companies have on file against the PAF, ensuring that every matched address is complete. Not only does the report help businesses maintain accurate records continually, but it also fills in missing details, such as street information and postcodes, and standardises entries to Royal Mail’s specific formatting.
Fetchify’s latest service is expected to help retailers stay on top of their GDPR obligations, minimise failed deliveries, cut returns costs, and improve the customer experience.
John Griffiths, Account Manager at Fetchify, comments:
“Duplicate records cause confusion, missing data undermines marketing efforts, and incorrect formats lead to delivery and communication errors. Perhaps more compelling is the fact that businesses are legally required to maintain accurate details, so it’s imperative that they get it right. Data Cleansing will address all of these issues whilst streamlining the operational efficiency of companies that use it.”



