Address Validation
Address accuracy is vital to business operations. It’s estimated that around 47% of newly-created data records have at least one critical error, meaning customer satisfaction could be impacted. Integrate address verification tools into your CRM, web forms, e-commerce platform, POS system, or custom platform via API.
How can Address Validation Support You?
Improve Data Accuracy at Point of Entry
Ensure that addresses are accurate, correctly formatted, and free from errors across all systems from external ePOS forms and internal CRM software.
Increase Delivery Success & Reduce Shipping Costs
Improve the chances of successful deliveries by ensuring postal addresses are valid, whilst preventing address-related shipping errors, leading to fewer returns and associated costs.
Enhance Customer Experience
Provide a smoother and more efficient user experience by offering autocomplete suggestions during address entry, reducing the likelihood of user error.
Optimise Marketing Campaigns
Ensure that marketing materials reach the intended recipients, improving the effectiveness of direct mail and other targeted campaigns.
Happy Customers
Find out more about how we have improved the data quality and customer experience from the brands that have chosen Data8
Try our Address Validation Solution
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Key Features of Address Validation
Address Verification & Standardisation
Ensure captured data is verified to a correct address following standard postal formatting rules whilst correcting abbreviations, misspellings, and other inconsistencies.
Autocomplete Options in Real-Time
Offer autocomplete suggestions as users type to reduce keystrokes and errors, receiving the most up-to-date information.
Fuzzy Logic/Matching AI Technology
Using fuzzy matching techniques, identify approximate matches accounting for variations in data entry (e.g. typos or misspellings)
User Friendly
Interface
Allows for a seamless integration with business applications, websites, or databases through APIs, with a easy-to-use interface for address entry & verification.
Address Validation Options
Address Validation Sources
Not-Yet-Built Data
This source helps you to identify and deliver services/goods to addresses that are still at the planning and construction stage. There’s nothing worse for a customer than to buy a new build property and not see their address shown within dropdown suggestions.
With over a million homes in the pipeline scheduled to be built, and over 200,000 built last year, this is a continually growing dataset. Using the Royal Mail’s Not-Yet-Built data for Address Validation, you can ensure you have a head start over your competition. A simple data file that gives you a competitive edge.
The address file is managed and updated by the Royal Mail, working closely with all UK local authorities to plan out street names and addresses. Once the local postie confirms this, the new property can receive new mail, and is transferred over to PAF. The Royal Mail Not-Yet-Built database has over 500,000 records and assigns over 26,000 new postcodes each year to more than 100,000 new properties.
For more information or to test not-yet-built within your address validation service, please contact your account manager.
Multi-Residence Data
Multiple Residence data file works alongside the Royal Mail PAF, ensuring your data is as clean as possible and allows you to reach the additional addresses not on PAF.
There are 2,000 records added each month to the Multiple Residence File. Currently the file size stands at over 800,000 records which aren’t included in the Royal Mail PAF file.
You can verify even more UK residential addresses when you use Multiple Residence dataset alongside Royal Mail PAF. Businesses like yours can soon see where one building may have many individual flats and apartments all sharing the same front door.
Data for Multiple Residence properties is essential in today’s online shopping environment to ensure that your package is delivered to the right address, within the right building. This helps reduce the chances of the mailings going missing or being received by the wrong person.
For more information or to test multiple residence within your address validation service, please contact your account manager.
Address Validation CRM Integrations
Our PredictiveAddress Software is available across a wide range of platforms, check out the ever growing list of native integrations:
Don’t see your platform in the featured list above? Check out our full list of available integrations here.
Address Validation FAQs
Address validation is the process of ensuring that an address is accurate, complete, formatted correctly and exists within an authoritative address database.
Address validation compares entered address information against authoritative address datasets for the relevant country. It can identify incorrect, incomplete or non-existent addresses and help correct spelling mistakes, formatting issues and missing address elements to improve data quality.
Address validation is important because inaccurate address data can lead to additional delivery costs, unnecessary delays and poor customer experiences.
An undelivered letter means the loss of postage and printing costs, whilst also failing to communicate with your customer. The failed delivery of a parcel incurs return shipping costs, refunds or sometimes a complete replacement order.
By validating addresses before dispatch organisations maintain cleaner customer data – reducing failed deliveries and avoiding unnecessary returns, helping to protect revenue and improve customer satisfaction.
Not validating addresses can expose your organisation to multiple risks. For example:
- Failed deliveries – if a customer’s address has been mistyped or formatted incorrectly when placing an order online, their parcel may not be able to be delivered as the courier won’t know where to go
- Fraudulent activity – fraudsters can use fictitious or undeliverable addresses during sign-up or at point of purchase leading to expensive consequences and loss of revenue
- Wasted marketing spend – if customers on your direct mailing list have moved to a new address but haven’t updated their accounts, you could be sending multiple pieces of mail to empty houses or people who aren’t interested in your organisation
- Break of compliance regulations – many industries require accurate customer addresses to meet regulatory and legal obligations
PredictiveAddress™ and Postcode Lookup validate UK addresses against a range of authoritative datasets including Royal Mail PAF, Multiple Residence Data, Not-Yet-Built Data and Ordnance Survey AddressBase to provide accurate and up-to-date address information.
Address data quality is important for many reasons. Improving the quality of your address data enhances customer experience, reduces the risk of fraud and helps maintain compliance. It also contributes to the overall quality of the data within your system.
Improving the quality of your address data can be done in many ways. In real-time, our address validation APIs can be integrated into key touchpoints to ensure only accurate data is captured at point of entry. In batch, our address cleansing solutions compare your data against authoritative address datasets such as Royal Mail’s PAF and other trusted reference sources to correct misspellings, append missing information, standardise formatting and improve overall address quality.
Address standardisation is the process of converting all addresses within your system into a consistent, uniform format that can be easily understood, compared and used across systems. Aligning variations into one agreed structure reduces errors, improves interoperability, enhances data awareness and strengths analytics by ensuring all addresses follow the same rules.
Incorrect or incomplete addresses are often caused at point of entry through misspellings, abbreviations or typing in the wrong field. Addresses can also become incorrect over time due to people moving and not updating their information.
Missing or incomplete address data can be improved using our address cleansing solutions, which compare records against trusted address reference data to append missing information, standardise formatting and improve overall data quality.
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