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IPT Data

IPT Data Rental

IPT Data Rental is the UK's leading source of fresh lifestyle data for direct marketing campaigns. We provide a fast, low cost and effective method of targeting responsive prospects, via our opt-in databases of 3 million unique email addresses and 7.3 million household postal prospects. We also offer 1.7 million recently validated SMS records - the largest file of its type in the UK - and 1.4 million landline telephone numbers.

Our innovative web based data collection techniques provide flexible and cost-effective access to targeted consumers on a 100% opt-in basis. And because our data collection is a continuous online process taking place 24 hours a day, we guarantee the freshest and most dynamic prospect lists available.

By capturing extensive information about the interests and demographic details of the people in our database, we have created over 900 categories which we use to mine the data, drilling down to identify lists of the most appropriate prospects for you to contact to generate the greatest response.

Using the power of our file, we also offer a number of solutions to add value to your own existing database. We can help you to identify the attributes of your typical customers and to target 'look-alike' consumers, and we can append valuable data to your records.

Email Data

OK-mail - The most selectable email list in the UK with over 3 million unique records and over 900 interest categories

Read more about Email Data

Postal Data

IPT Postal - 7.3 million household postal addresses, fully PAF validated and collecting up to 150,000 fresh records per month

Read more about Postal Data

SMS and Telephone Data

IPT SMS and Telephone - The largest SMS file of its type in the UK, with 1.7 million recently validated mobile numbers

Read more about SMS and Telephone Data

Contact Information

Quick Statistics

  • Fresh 100% opt-in email, postal, telephone and SMS data
  • List management to deliver maximum ROI
  • A complete data planning service
  • Solutions to add value to your existing data set