Screenshot from Apple’s latest ad. Copyright Apple.
The introduction of Intelligent Tracking Protection (ITP) back in 2017 reflects this privacy vision, but the latest update (2.1) takes things even further and will certainly have an impact on advertisers, publishers and tech vendors that use online behavioral advertising, attribution, web analytics, A/B testing and personalization.
What is ITP 2.1?
In this blog post, we will explain the impact of ITP 2.1 on web analytics and online marketing. Apple announced ITP 2.1 in February 2019 and it applies to iOS 12.2 and Safari 12.1. The first version of ITP limited cross-screen tracking by degrading third-party cookies after 30 days. ITP 2.1 introduces a new set of measures:
As a result, every website user who uses a Safari browser will be considered as a new visitor after seven days since the last visit.
Example
In case this is your first visit to our website, a cookie will register you as a new user. Should you return tomorrow you will be identified as a returning visitor. Analytics tools like Google Analytics and Adobe Analytics will even label you as a returning visitor when your second visit is less than two years after the first visit.
As Safari will now automatically delete most first-party cookies this time-frame will be reduced to seven days. There will be a big difference in labeling Safari users and visitors that use other browsers like Internet Explorer or Chrome. Not only Safari but also Firefox announced it will use enhanced tracking protection.
Consequences
So, what does ITP 2.1 exactly means for marketers? Well, it will definitely have an impact on how to analyze, target and personalise online experiences for Safari users. Let’s define a few consequences:
A/B Testing will only have seven days to test and track results. This time window might be too narrow to reach a sufficient sample. Users that visit less than weekly will be considered new visitors and could be assigned into a different test group. This might result in inaccurate tests.
Personalisation will also be affected. Sites that use personalisation tools based on past behaviour and preferences, without login, will not have enough historical data to personalise content over a longer period. This means users will have inconsistent experiences when they visit sites with a time interval larger than seven days.
Attribution becomes difficult. With a look-back window limited to seven days marketers can’t attribute conversions that occur more than a week after a visit. Most likely the last-click model will be overvalued which makes it harder to truly evaluate the return on advertising spend.
DMP's may see an increased audience because new identifiers will be added that aren’t new. Marketers risk building audience segments based on incomplete data.
Web Analytics loses accuracy. Remember, a visitor will be forgotten after seven days so the number of unique visitor will increase for Safari users. When analysing a website, you need to take this into account.
Next to this there will also be consequences for re-marketing, cross domain tracking, affiliate marketing, ... It will take more than a blog post to explain all the potential changes.