Zero-party data We are talking about
Looking more specifically at email, the Sparkpost report showed that 76% of marketing leaders think their email marketing program has had a positive impact on the business in 2021, up from 58% in 2020. Additionally, 34% of leaders said they are increasing their KPI metrics related to email marketing to reflect their company's reliance on this digital channel. This suggests that despite the current challenges in collecting marketing data, this channel is still very profitable for businesses, especially when combined with others, as mentioned above. You must understand the types of customer data Granted, your company is already using email to generate revenue as part of its marketing efforts, but what exactly do you need to know about privacy policies to adjust your strategy? First, we need to go through a quick overview of the different data types.Zero-party data We are talking about when the user voluntarily Telegram Number Data and intentionally shares their information with you. An example is interactive content : when the user completes a questionnaire or assessment on a page on your website and then also provides their email address to collect the results. Communication preference pages, phone numbers or landing pages, and social media surveys are other examples. ADVERTISEMENT Own or first-party data Also known as 1P data, it is the information you collect from your customers' interactions and behaviors. Examples include website activity, purchase history, email engagement (email opens and clicks), and customer feedback program scores.
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Second-party data It is when companies sell or share their own data that they have collected with other companies. It is usually shared between parties that have similar audiences and customers. Third-party data Last but not least, we have the third party data. Basically, it is any data that has been collected or organized from a variety of sources and is often managed by organizations that do not directly interact with customers. There are many marketplaces where these massive data sets can be purchased, and some examples are: demographic data, survey responses, income data, and online activities such as websites visited and browsing behaviors.
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