Blog about Digital Advertising & Marketing Technology

In this Media Review, you can read about Google’s Privacy Sandbox for Desktop and Android advancements, Meta’s swap from GDPR’s Legitimate Interest to Consent clause, and European Commission’s concerns over Google disrupting competition across MarTech.

Retargeting is a great way to reconnect with users and ultimately convert them into paying customers. However, you’re competing with other businesses for the same users’ attention. In this article, we’ll walk you through our top five retargeting strategies and how you can use them to maximize the success of your retargeting campaign and meet your business goals.

Cookies play an essential role in the modern internet. These small pieces of data stored in your web browser can do everything from saving login details to enhancing website performance to helping marketers show users products that they will love. However, not all cookies are made equal, and there are significant differences between first-party and third-party cookies.

The Privacy Sandbox timeline states that in Q3 2024, “Chrome will phase out support for third-party cookies over a two-month period.” Whether or not Q3 2024 is the right time is an important question, but in this blog post, we’d like to focus on the second aspect of the deprecation—the duration of the time over which it reaches 100% of users. We will argue that a two-month timeframe (a “cliff”) is too quick and therefore, dangerous. To maximize the chances of AdTech successfully transitioning to a cookieless world, the deprecation ramp-up should be more prolonged, gradual, and known in advance.

Any seasoned marketer will happily tell you that retargeting is one of the best ways to engage with potential customers on the open web. The approach allows you to find and connect with people who have previously shown interest and is a powerful tool when used correctly. But how do you measure and optimize a retargeting campaign? Well, that’s where the real fun starts—we use retargeting statistics.

This article aims to complete the round of quality tests performed on the sampled Seller-Defined Audiences signals we received from the sell side. While the previous article investigated contextual SDAs, this one will focus on user SDAs and verify how they reflect reality. The tests in this section varied from the ones performed on the contextual signals as the nature of the user type differs. The first test relied on a manual check of an assignment mechanism, while the second one was based on a survey campaign.