{"id":127582,"date":"2025-03-12T03:21:56","date_gmt":"2025-03-12T03:21:56","guid":{"rendered":"https:\/\/peraltafinancing.com\/analytics\/making-a-first-party-data-strategy-work-for-you-and-your-customers\/"},"modified":"2025-03-12T03:21:56","modified_gmt":"2025-03-12T03:21:56","slug":"making-a-first-party-data-strategy-work-for-you-and-your-customers","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=127582","title":{"rendered":"Making a First-Party Data Strategy Work for You and Your Customers"},"content":{"rendered":"


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At last count, 162 countries<\/a> had enacted data privacy policies of one kind or another. These laws or regulations, without exception, intend to eliminate the use of third-party data. That puts marketing under pressure because third-party data has been the foundation of online marketing efforts since the dawn of the Internet.<\/p>\n

Marketers need to future-proof their operations by switching to first-party data. This will require considerable adjustment to systems and processes, but the reward will be effective marketing campaigns that satisfy privacy compliance requirements and bring the business closer to its customers.<\/p>\n

To do that, you\u2019ll need a coherent first-party data strategy. That\u2019s what this article is all about. We\u2019ll explain the different types of personal data and discuss how to use them in marketing without compromising or breaching data privacy regulations. We\u2019ll also discuss how to build that strategy in your business.\u00a0<\/p>\n

So, let\u2019s dive in.<\/p>\n

The different data types<\/h2>\n

There are four distinct types of personal data used in marketing, each subject to different data privacy regulations.<\/p>\n

Before getting into the different types, it\u2019s essential to understand that all four may comprise one or more of the following:<\/p>\n

\n\n\n\n\n\n\n\n\n\n
Identifying data<\/td>\nName, email address, phone number, etc.<\/td>\n<\/tr>\n
Behavioural data<\/td>\nWebsite activity, app usage, wishlist content, purchase history, etc.<\/td>\n<\/tr>\n
Transactional data<\/td>\nOrders, payments, subscription details, etc.<\/td>\n<\/tr>\n
Account data<\/td>\nCommunication preferences, product interests, wish lists, etc.<\/td>\n<\/tr>\n
Demographic data<\/td>\nAge, gender, income level, education, etc.<\/td>\n<\/tr>\n
Geographic Data<\/td>\nLocation-based information, such as zip codes or regional preferences.<\/td>\n<\/tr>\n
Psychographic Data<\/td>\nInterests, hobbies and lifestyle preferences.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

First-party data<\/h3>\n

When businesses communicate directly with customers, any data they exchange is first-party. It doesn\u2019t matter how the interaction occurs: on the telephone, a website, a chat session, or even in person.<\/p>\n

Of course, the parties involved aren\u2019t necessarily individuals. They may be companies, but people within those businesses will probably share at least some of the data with colleagues. That\u2019s fine, so long as the data:\u00a0<\/p>\n