Profiling Data


For campaigns that involve targeting the higher Net Worth individual we recommend using profiled and modelled data.

We will tailor a prospect list for you from a database of over 37 million names.

  • Initially sourced from Census Data
  • Overlaid with electoral roll, credit card applications; extended warranties and 70,000 random face to face home interviews.
  • Geo-demographics (i.e. a certain type of person lives in a certain type of house etc.)
  • All records are opt-in and have therefore agreed to be contacted for marketing purposes.

We can profile your prospect by age, house size, income, property value and current investment portfolio amongst others.

After tailoring a database for you we will screen it against 8 different processes to ensure maximum quality and responsiveness: Gone-away supression file, National Change of Address file, Postal Address File, 3 different bereavement registers, Telephone Preference Service and Mailing Preference Service.

Database Options

We can supply the data as name, address and telephone number on a multi-use basis. You will then own this database and have exclusivity.

We recommend that you use the database at least three times to get the maximum response from the data. For example: mail followed by telephone contact. After one month re-mail and telephone.

Experience has proven that second and third mailings receive a similar response to the first.

Seminar Mailing

With this option you can rent the database on a single use basis. We can discuss the format of your letter or seminar invitation, response mechanisms and even collate and mail for you. An average response for this type of campaign is generally between 1 - 1.6%.

How Profiling Works

CPR Marketing Solutions provide one of the most comprehensive ranges of targeting systems in the industry. Our years of experience means we are able to create formulas that we know have produced excellent results for varying types of campaign ranging from High Net Worth individuals to Council tenants. Click here for demographic basis and overlay types.

The Elite Addresses database consists of High Net Worth individuals who are sophisticated enough to realise the need for financial services. They are rarely targeted and therefore more receptive to your direct mail.

These neighbourhoods consist of larger detached or semi-detached properties with good size gardens; home to a wealthy populus with high levels of disposable income starting at £50,000 per annum. These residents can afford the luxuries in life and their homes are well equipped with modern conveniences.

There are 3 options:

  • 1. Numbered i.e. 18 Larkin Grove etc
  • 2. Name and number i.e. Woodlands, 18 Larkin Grove
  • 3.Name only i.e. Dolphins, The Parade etc

The latter option offers access to a rarely targeted section of the population. These properties are excluded from the Quick Address System which is used extensively by utility companies etcetera.

Choose an initial demographic basis below, then use the options to the right for overlay types.

Type % of UK Households
Young Affluent Singles 4.57
Professional single home owners 0.75
Affluent singles in quality rented flats 0.82
Younger couples and families in single neighbourhoods 1.10
Affluent single flat owners 0.76
Affluent singles and students 1.15
Wealthy Retired Neighbourhoods 14.42
Affluent couples in large detached houses 1.31
Retired homeowners in pleasant suburbs 4.97
Older home owners in mixed accommodation 4.97
Couples in smaller houses 4.59
Older couples in retirement towns 1.86
Affluent Home Owners 16.88
Younger families in larger dwellings 2.06
Wealthy older families occupying spacious houses in exclusive areas 1.56
Affluent commuters in large family homes 3.45
Wealthy older families in suburban areas 2.99
Professional couples with school age children 3.17
Affluent older families in urban areas 3.64
Smaller Private Family Homes 15.67
Younger families and singles in larger houses 1.80
Well off school age families in semi-detached homes 2.55
Rural older families 1.16
Suburban families with school age children 2.03
Younger families in urban developments 3.95
Younger households in urban areas 2.40
Urban families with younger children 1.78
Poorer Home Owners 16.89
Younger families in poorer terraced housing 0.90
Older families in larger dwellings 3.33
Suburban families with school age children 4.04
Young couples and families in urban areas 5.05
Young families in suburban semi-detached and terraced 0.66
Younger couples in smaller terraced housing 2.91
Less Affluent Older Neighbourhoods 6.33
Active home owners in larger dwellings 2.52
Rented flats in retirement towns 0.56
Smaller privately owned dwellings 2.04
Older rural communities 0.52
Older couples and young singles 0.68
Council Tenants on Family Estates 10.81
Young families and singles 1.38
Older flat dwellers 0.68
Retired couples in terraced family homes 3.32
Poorer elderly couples and singles 3.21
Poorer younger families 1.80
Elders in sheltered housing 0.42
Poorer Council Tenants - Many Single Parents 9.56
Younger families and singles in lower quality housing 1.37
Young families in terraced housing 3.51
Single parents in high rise flats 1.37
De-industrialised Scotland 0.16
Older families in council accommodation 2.29
Older families in council terraces 0.85
Poorer Singles 4.87
Young student areas 1.12
Young families and singles in low quality flats 1.10
Single parents and young singles in low quality flats 0.98
Young families and singles in low quality terraced properties 1.67

The following classification types can either be used as individual basis or overlaid with each other to refine a targeting selection:

  • Financial
  • A postcode classification system for assessing credit risk through County Court Judgement levels
  • Income
  • A Postcode classification system for assessing household income
  • Investor
  • A system for assessing shareholder activity and financial sophistication. This system is screened against over 300 different share registers.
  • Property
  • A post sector classification of house prices for assessing wealth
  • IAN
  • An individual predictor of age by Christian name providing an accuracy of approximately 75%