At PainLeads.com we use a proprietary model to build a profile of Americans likely to be suffering from pain. We use age, lifestyle, sports interests, professions, and geography to demographically target American Citizens who may benefit from a pain remedy or pain relief product.
Pain data will be representative of legal citizens with a minimum of 5 years residency here in the United States. Additionally, we will filter for residents that meet the requirement for insurance coverage that takes care of the bills for their policy holders.
All phone numbers are scrubbed against the National Do Not Call Registry. Records come with typical outputs that include: first name, last name, physical address, phone number and age. Where available the data may also come with outputs specific to occupation, lifestyle, interests, activities and sports. Modeled pain data is crafted to be in the sweet spot of people whose age and lifestyles expose them to pain and the need of relief.
Another pain data strategy is using a specific age related data (Birthdate Data) that is approximated for legalized residents turning age 65. This would allow pain relief products sales organizations to reach people right as they are turning the age required to pick up Medicare Plan B Insurance. Getting in early as they set up their insurance gives them a leg up in marketing campaigns to Americans that would benefit from pain relief products. When sales teams are able to reach people that are nearing 65 years of age and applying for Medicare Plan B Insurance they are in a really good demographic to successfully offer and sell pain related products.
As it was the case with the modeled pain data, all phone numbers are scrubbed against the National Do Not Call Registry. It comes in a CSV or Excel Format for your loading into a dialer or submitting to a mail house for a direct mail campaign. In the case of a direct mail campaign, the data will be pre NCOA scrubbed and Cass certified. Data may be pulled along carrier routes in a way that will reduce the postage paid on the campaign.
