RTB House boosts sales team

Everyone loves a good challenge, but some are tougher to tackle than others. For marketers, the big one is the personalization paradox. 71% of consumers prefer personalized ad content, but 74% are also concerned about how advertisers are actually using their personal data. This creates a problem for marketers. They want to reach out to their customers with personalized content but often rely on tracking technologies that are considered invasive. Fortunately, there is an answer to this particular paradox. Brands can use data-driven strategy to leverage large anonymized datasets that provide rich personalization at scale without compromising on privacy.

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.

In early 2020, Google first announced its intention to retire third-party cookies from Chrome. Despite numerous twists and turns, one thing remains certain: the relevance of third-party cookies is on a downward trend across most browsers, and this will likely affect Chrome as well. This development has marketers worried about the future of personalized and relevant advertising. The good news is they don’t need to be concerned. RTB House has managed to fine-tune Chrome’s new cookieless tool—the Privacy Sandbox—so that it can tailor ads to specific users while protecting their privacy. How is this possible, and what role does the Product-Level Turtledove play in the process? Let’s dive into it.