{"id":4473,"date":"2016-08-10T19:00:03","date_gmt":"2016-08-10T13:30:03","guid":{"rendered":"https:\/\/email.uplers.com\/blogs\/?p=4473"},"modified":"2020-08-08T18:56:37","modified_gmt":"2020-08-08T13:26:37","slug":"data-cleansing-data-appending","status":"publish","type":"post","link":"https:\/\/email.uplers.com\/blog\/data-cleansing-data-appending\/","title":{"rendered":"Boost Email Marketing ROI with Data Cleansing & Data Appending"},"content":{"rendered":"

Just as you spring clean your house every year to declutter unnecessary things; the same goes with your email list database as well, isn\u2019t it?<\/p>\n

Email lists decay by 20%-22% every year and data cleansing aka data scrubbing not only helps in maintaining your email list hygiene but also helps in maximizing your email marketing ROI. Thereby, to maintain a healthy email list, email list cleaning is a priority in any email marketer\u2019s schedule so as to ensure maximum CTRs, qualified leads, and open rates.<\/p>\n

According to Experian, 63% of businesses append their third-party behavioral and demographic intelligence. So what actually is data append?<\/p>\n

Marketing practice involved in gathering known customer\u2019s data and thereafter matching it with vendor\u2019s database in order to obtain email addresses.<\/strong><\/p>\n

\"\"<\/a><\/div><\/div>\n

As an email marketer<\/a> you always want to grow your email list<\/a> by appending it with email contacts; but do you know that whenever you try doing that, you also invite duplicate, outdated and incorrect data, which by no means will drive your email marketing business.<\/p>\n

\"Email<\/h3>\n
\"\"<\/a><\/div><\/div>\n

Data Cleansing and Data Appending Process<\/h3>\n

The Data cleansing and Data appending process is carried out in 5 phases:
\n\"Email<\/p>\n

1. Data Identification and Uploading<\/h3>\n

The data that is to be appended is identified by client during this phase.<\/p>\n

2. Database Matching and Enhancement<\/h3>\n

Here, the data of your client database is matched with the master database \u2013 bringing in more effectiveness by adding email addresses to the master database.<\/p>\n

3. E-mail Verification<\/h3>\n

In this stage, all the email addresses are to be verified for final delivery.<\/p>\n

4. Opt-out<\/h3>\n

Here a message is sent to email addresses that are verified by above steps. The message typically offers the subscriber a choice between \u2018keep receiving emails\u2019 or \u2018Opt-out of it\u2019.
\nThe responses collected by doing so are noted for 4-5 business day and thereafter, all the opt-outs are removed from the email list.<\/p>\n

5. Database Download<\/h3>\n

After completion of whole append process, the newly obtained database is downloaded for further use.<\/p>\n

Benefits of Data Appending
\n\"Email<\/h3>\n

Benefits of Data Cleansing<\/h3>\n

\"Data<\/h2>\n

\uf076 Best Practices for Data Cleansing and Data Appending<\/h2>\n

Before embarking with data cleansing, it\u2019s necessary to know the best practices that can help you with inaccurate and messy data. 5 best practices that you can render help from:<\/p>\n

1. Prepare a data quality plan<\/h3>\n

Identify the area with more data quality errors &incorrect links and prepare a systematic quality plan based on the root problem.<\/p>\n

2. Check data at entry point<\/h3>\n

Evaluate the contact information at each and every point. This phase ensures that all the data you have gathered so far is standardized. Hence, when it is registered in your database; there will rare chances of redundancy.<\/p>\n

3. Confirm the accuracy of your data<\/h3>\n

Validate your database information by cleaning out your existing database. You can invest on effective marketing data tools<\/a> like address verification software for merging your various data sets.<\/p>\n

\"\"<\/a><\/div><\/div>\n

4. Check out duplicates<\/h3>\n

Identify the redundancy by implementation of tools that can easily identify duplicate data in your database. This way, you can save more time from such manual work.<\/p>\n

5. Append the data<\/h3>\n

Last step after validation, standardization and removal of redundancy is to use third-party sources for data appending. These third-party sources can impart information that is fetched from first-party sites.<\/p>\n

The data thus obtained is compiled to identify whether it is complete information for analytics and business intelligence. This helps you to not only enhance your customer segmentation, but also send specific information to targeted audience.<\/p>\n

Well, what now? How would you figure out whether you have made successful data cleansing and data appending attempt?<\/strong><\/p>\n

When it is done correctly, data cleansing and appending shows following signs:<\/p>\n

\uf0fc Functions along with various schemas and mapping functions for data transformation.
\n\uf0fc Spots errors in single\/multiple data sources and removes it completely.
\n\uf0fc Employs various tools to reduce manual efforts for inspection.<\/p>\n

Well, now you can reduce the chances of facing \u2018dirty data\u2019 by systematic implementation of data cleansing and data appending on regular time basis. Not only will it save your database from degradation but will also improve your IP reputation.<\/p>\n

So what are you waiting for? Implement data cleansing and appending and paint your email marketing business with bright colors of maximum revenue and ROI.
\nHave anything to add? Shoot in the comments!<\/p>\n","protected":false},"excerpt":{"rendered":"

Just as you spring clean your house every year to declutter unnecessary things; the same goes with your email list database as well, isn\u2019t it? Email lists decay by 20%-22% every year and data cleansing aka data scrubbing not only helps in maintaining your email list hygiene but also helps in maximizing your email marketing […]<\/p>\n","protected":false},"author":1,"featured_media":4474,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[445,444,448,447,446,406],"class_list":["post-4473","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-email-marketing","tag-data-appending","tag-data-cleansing","tag-data-cleansing-best-practices","tag-data-cleansing-process","tag-email-append","tag-email-list-cleaning"],"yoast_head":"\nBoost Email Marketing ROI with Data Cleansing & Data Appending Process<\/title>\n<meta name=\"description\" content=\"Learn here how the Data cleansing & Data appending for successful email list cleaning and maximum email marketing ROI.\" \/>\n<meta name=\"robots\" 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