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Accuracy of Mailing List

Accuracy of Mailing List

 

Addressers use only national list compilers for our customer’s mailing. They include companies such as Excelsior, Acxiom, Dun & Bradstreet, Info USA and CoreLogic.

They are all reputable companies with the best available information and lists in the country. However, lists may not be 100% accurate.

Here is what you can to expect from these lists:

Business List

A business list by nature is much more difficult to manage. Even though the file is updated every 30 days, it's not easy to track business closures. The issue is that there isn't a reporting agency for business owners to go to when they go out of business. Also, many business owners don't complete the National Change of Address form at the USPS to avert creditors. Additionally, in a recession or bad economy, there tend to be more business vacancies.

We guarantee 85% deliverability rate on the mailing list. Our average deliverability rate is around 91%. Our guarantee is .40 cents per mail piece returned over 15% up to the price of the mailing list.

consumer List

Hundreds of sources of data (more than 30 primary sources) are merged together, creating a database of 800 million individual records with billions of fields of data. The database is then sent through NCOA , DSF, the deceased file and the DMA Do Not Mail file. Following the list cleansing services, the list is put through a comprehensive compilation process where it is determined which fields are accurate and which records are duplicates. This is done by ranking the sources for accuracy, looking at factual data, such as Birth Certificates, and also seeing which data is multi-sourced (more than one source is used to validate the correctness of information).

Our average deliverability rate on consumer lists are 97%. However, there is a margin of error in any consumer database of 8% to 15% on specific demographic data such as income, age, net worth, age of children, etc. Here’s why…much of the data is sourced by self-reported information as well as registration and survey data.

Here's an example: If a grandmother is buying something for her 13 year old grandson at Dicks Sporting Goods, the item may need to be registered. They may ask for information and the grandmother may put her information in the survey and that record can be caught by the compiler and listed in the file. That does not happen too often, but nevertheless it can happen.

For Consumer, Occupant, New Movers, New Homeowners & Real Property Files: If you receive more than 8% returns, we will pay you $0.40 per return over the 8%, up to the cost of the entire mailing list.

The Consumer database typically has about a 60%-70% national coverage depending on geography and demographics. So, not every record will be included for the intended target.

Here are some FAQs on the Consumer database.

 How often is the Consumer file updated?

The Consumer file is updated every month.

How did my name get on the list?

The primary sources are:

• Internet websites • Contests • Surveys • Warranty registration • Subscriptions

In addition, because the source of the name may be several layers deep (e.g. the original source supplied the name to a source that supplies data to one of the national compiled sources used in the actual Consumer build) it would be impractical to try and get the original source of a single record, even if it were permissible by the compiler.

How is the Consumer file compiled?

Hundreds of sources of data (more than 30 primary sources) are merged together, creating a database of 800 million individual records with billions of fields of data. The database is then sent through NCOA , DSF, the deceased file and the DMA Do Not Mail file. After the list cleansing services, the list is put through a comprehensive compilation process where it is determined which fields are accurate and which records are duplicates. This is done by ranking the sources for accuracy, looking at factual data, such as Birth Certificates, and also seeing which data is multi-sourced (more than one source is used to validate the correctness of information).