What is Contextual or Context-Driven Optimization?
Optimization describes the algorithms that a bidder uses to determine bid prices, whether or not to bid, and how often to bid depending on the performance goals of a campaign. In other words, optimization describes ways to optimize an ad in order to get the best engagement in the most efficient way possible. Once the methods for optimizing the ad campaign have been determined, tools such as Google Analytics 4 make it easy to track success or failure. Analyzing website data with such tools can help determine what changes to make to strategies and what causes poor performance. It is possible to learn such programs by going through online resources (like this set of google analytics 4 exam answers you can find here) so that you can use all the tools at your disposal to optimize your strategies and achieve better results.
Programmatic optimization is the process of improving a programmatic ad campaign’s performance in real-time based on data. It’s what makes programmatic advertising the most efficient use of your digital ad budget. With that being said, research shows that programmatic media buying now accounts for 85% of all digital ad spending (Strategus). If you haven’t already made the switch to programmatic, now is the time.
Platforms optimize performance in a variety of ways from cookies to creatives. On the simplest level, optimizing for brand and content works well most of the time; that is what most b2b companies start off with-hire a web3 copywriter and optimize all the creatives, including website content. This strategy often works itself towards the right target audience, but may take time. Context-driven optimization is optimization without using user data or cookies. Contextual optimization is Bidtellect’s key differentiator that uses contextual signals to optimize performance.