Eliminate duplicate records and create survivorship rules
Industry’s fastest merge purge and deduplication
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What sets WinPure apart from other merge purge tools?

Merge Purge Benefits

  • Creating one standalone data record that contains all of the valuable data for each customer eliminates duplicate mailings and improves efficiency for your sales staff.
  • Reducing costs and improving customer satisfaction.

Merge Purge Features

  • Quickly and accurately combine lists from different sources.
  • Create survivorship rules with simple to use interface.
  • Match on anything – not just name and address, but email, phone number, date of birth, account number etc.

CONNECTS TO ALL POPULAR FILES, DATABASES & CRM’S

Import / Export files, databases & CRM’s including Text/CSV, Excel, XML, SQL Server, Oracle, MySQL, MS Access, MS Azure, Salesforce & more.

MERGE PURGE ANY KIND OF DATA.

WinPure provides instant access to data of any kind with out-of-the-box connectors to everything from personal spreadsheets to enterprise data warehouses and massive big data systems.

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MERGE & PURGE WITH EASE & SOPHISTICATION

SUPER FAST INTELLIGENT MERGE PURGE

WinPure Clean & Match Software can be used to merge together duplicates from various sources to create one master record.

  • Update Field – is used to select the specific columns you want to merge
  • Only Empty – option can be used to ensure only empty cells are updated during the merge
  • Keep All Values – Can be used to ensure all values in the specified columns being merged are kept, without losing any data. Additional columns are created to store all the necessary values. For example, during a merge, addition columns can be created and will store all the fields that have been selected.

Intelligent merge purge with golden record technology

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Stunning visuals to highlight all matching records & scores

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WHAT IS MERGE PURGE?

Merge Purge is the process of combining two or more lists or files, simultaneously identifying and/or combining duplicates and eliminating unwanted records. The goal of the merge/purge process is to produce a unique set of records, such as unique names and addresses. One goal is to cut down on waste by only sending one mailing piece to each person.

Merge Purge software tools like WinPure Clean & Match, can be used to perform merge purge tasks automatically, to help save on duplicate mailings and increase customer satisfaction. Download a free trial and start merging purging your lists and databases today.

FAQs

What Is The Purpose Of The Merge And Purge Process?

The essence of the merge purge software is to create a list that will eventually contain only unique names and addresses without any duplicates. This is particularly important when a business or organization is trying to create a huge mailing list to market its goods and services.

What Are The Benefits Of Merge Purge?

A merge purge software application will clean up the data set to achieve the following benefits:
1. More efficient database performance leading to improved productivity
2. Cost savings due to the elimination of duplicate mailings
3. Improved customer satisfaction

What Is An Example Of A Merge Purge Exercise?

Here is a simple illustration of what may occur in a typical merge purge exercise.
First, examine the following customer records:
ID Customer Name Company Phone City
256 Bob Smith IBM Corp 761 111 216 New York
577 Robert Smith Intl Business Machines 761 111 216 New Jersey
742 William James HP Corp 817 216 761 Georgia
891 Bill James Hewlett Packard 817 216 774 Georgia

A hypothetical company ABC that desired to build up a big mailing list of prospects ended up with these records in their new database. They however desire to remove all duplicates so that they can save money on their mailing and maintain a good customer relationship with their prospects and clients.

What Are The Features Of Merge Purge Software?

Some of the key features of excellent merge purge software include:
* The use of fuzzy matching techniques to identify the percentage of similarities between probable duplicate records
* Effective identification of acronyms (e.g. HP for Hewlett Packard)
* Cleaning up and standardization of data before they are examined for duplication
* Application of massive libraries for standardization of names and states (e.g. Bob for Robert, Tom for Thomas etc.)

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