Buy Lists Online

There is no more important aspect to your marketing list than data cleansing, and we are at the forefront of this process.

We have created a groundbreaking online marketing list ordering system we call D-MOS.

Once registered, you will have over 12 million opt-in consumers and 3 million businesses at your fingertips, selectable by over 300 lifestyle variables and multiple geography variables. This product is truly unique in the marketplace.D-mos offers the complete service for the end user and list broker alike.

Registration is easy… You will receive an activation e-mail in minutes, and your count result is only a few short steps away!

Our selections will constantly be updated, and if you don’t find the consumer list you’re looking for please contact a member of our dedicated support team who will be happy to help.

As a member you can run as many counts as you like using our pay-as-you-go service, or alternatively you can use our retainer option; Simply send payment for your estimated data spend this month and it will be credited to your account until you use it, with no timescales, expiry date or hidden charges. You pay for 10,000 records and you receive 10,000 records, whenever you need them, it’s that simple!

Register now to browse and buy marketing lists online…




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Satisfied Customers


“Accurate, intelligent marketing at its best.”


“The devil is in the detail! We use Targets Located because our clients need customers ready to buy not likely to buy. We need a list built from facts not guesswork, but mostly we need a supplier that recognises exactly what we want and delivers every time.”


“I just wanted to thank you for all the help we received to identify the right data for our business. Your response was always fast and efficient and we will certainly come back to you when we need more data.”


“The data provided by Targets Located has proven to be very successful for my clients. The response rates have been at least five times the industry average and this speaks volumes for the quality of the data.”