Our range of validation services keep your data accurate and reduce wasted marketing costs. The systems used for landline, mobile, email and postal address ensure your customer and prospect databases remain up to data and productive for all your direct marketing campaigns.

Regardless of database size, validation services always prove to be a cost effective alternative to wasted resource. Our services are designed to be used regularly and the transparent pricing structure is in place to reflect this. With no minimum charge or additional fees, you can expect a low cost service with a fast turnaround.

There are many reasons why record validation will help your business including reducing unneccessary marketing costs, improving campaign productivity and offering more consistent results while protecting your brand image.

It’s not a slow process either, you can expect to have your clean validated records back with you along with the inaccurate records flagged, within 24 hours of the initial upload. These processes aren’t designed to delay your campaigns, they’re just there to enhance them for better results.

Our validation services are available on every direct marketing channel for both uk and international databases. They form a significant part of our bureau service and one of the best places to start when considering cleaning your data.

The easiest way to truly understand your data is for us to run a free data audit. This comprehensive report will detail every aspect of your current data quality, together with a breakdown of all the services available within our data bureau. You’ll see what changes could be made to improve your campaign results together with a realistic overview of the return on investment based on typical marketing activies.

Next step: Use the quote form below, our online chat facility or give us a call. We’ll discuss your requirements and offer the best solutions for your immediate needs. Our data audit reports are provided at no cost and will give you a clear understanding of your current data.