Know Your Data Types: From Zero-Party to Third-Party Data
August 7, 2024
August 7, 2024
The Australian government’s review of 1998’s Privacy Act should make one thing clear to businesses: where you get your data—and how you handle it—matters more than ever.
But although much of the Privacy Act Review coverage paints “consumer data” with a broad brush, there are several distinct types of data your business may be collecting and using. Understanding the distinctions between these types is critical to forming a data strategy that’s secure and compliant—and that meets your customers’ demand for personalised experiences.
Whilst you may be familiar with the difference between first-party and third-party data, there are actually four major data types you may encounter.
Zero-party data encompasses the data points customers give you voluntarily in order to improve their experience with your brand. Common types include:
Even though customers offer this information, your company is still responsible for ensuring it’s collected and stored in a compliant way. For example, depending on country-specific regulations that apply to your business, you may need to proactively capture customers’ consent to store this information, prove that it’s being stored in a secure manner, and offer a mechanism for customers to request that it be deleted.
Compared to zero-party data, first-party data includes the data points you can glean from your brand’s interactions with a customer. Popular sources of first-party data used by marketers include:
First-party data can be used on an individual level to personalise customer experience, but it can also be interpreted in aggregate to support business decision-making. That said, most privacy regulations require that users be notified that this information is being collected, which is often achieved through cookie notifications and privacy policies.
Second-party data is essentially first-party data, but in the specific instance that the company gathering the data has shared it with another business (or sold it to them). This may occur in business partnerships, in specific industries (car dealerships are a common use case), or through events like trade shows where attendee information is collected and sold to sponsors or exhibitors.
Second-party data can help companies to understand more about the customers they share with another entity, giving it slightly more value than indirect third-party data. However, the sharing of first-party data in this manner can be subject to privacy regulations—even if it’s only shared, not sold. As a result, customers should be asked to consent to their information being shared in this way.
Finally, there’s third-party data. Until recently, marketers and salespeople have relied heavily on third-party data, which is gathered by entities with no direct relationship to the customer. Common forms of third-party data include:
Third-party data isn’t as accurate as zero, first, or second-party data, since it isn’t gathered directly from customers. However, before the recent proliferation of affordable data collection and analysis tools, this was often the only real source of customer data, at scale, many companies had access to.
Changes to privacy regulations and the phasing out of third-party cookies on platforms like Google Chrome has made third-party data harder to come by—and, consequently, more expensive. Third-party data may still play a role in your company’s marketing operations, but amidst these changes, it’s a good idea to pair it with a strong focus on capturing your own proprietary data.
With all of that said, how do you bring these different types of data together into a cohesive strategy that both meets your legal requirements and allows you to drive exceptional experiences for your customers? The following are a few tips for elevating your brand experience through the use of data.
Above all, prioritise consumer consent as you grow your data supply chain, whether through customer authentication, opt-ins, cookies, or any other mechanisms that are appropriate to your country and data collection methodology. This will increase the accuracy and completeness of your data, further improving your ability to use it to deliver highly personalised customer experiences.