Google search results show more and more advertising campaigns. Thus, it becomes more complicated to effectively hit your target. Indeed, Internet users click on many ads before carrying out a conversion action. An action that greatly reduces your chances of converting, even more if the keyword on which you are positioned is highly competitive. However, the data-driven strategy makes it possible to counter this problem. And your paid SEO agency has analyzed this new method and we explain everything to you!

What Is a data-driven Strategy? Agency Has Analyzed

Also called “data-driven marketing”, data-driven is an approach to marketing guided by data. Closely linked to the rise of Big Data, it makes it possible to make decisions or implement strategic actions through the interpretation of data. A technique made possible by the increase in data created every day. It is an ongoing process that allows us to better identify consumers and prospects. The end goal is to create optimized and personalized marketing campaigns to effectively reach an audience.

The data-driven therefore allows, thanks to the data, to better know its target and its environment. But also to trace and enter into a relationship with the consumer during his journey. Data-driven attribution, or “data-based attribution” is a new marketing attribution model Oman Phone Number List that has emerged thanks to various data collection tools. During their navigation, Internet users are led to carry out marketing actions (registration, purchase, etc.). Only before performing this action, they often perform several searches and may click on different ads. Data-driven attribution then helps determine the performance of your ads by understanding which ads or keywords are most effective at converting. The objective is therefore to analyze the consumer’s buying journey to understand what it contributed to the final conversion.

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Data-driven attribution is a method based on calculating the

Data-driven attribution is a method based on calculating the contribution of each keyword to conversion. Although it may be interesting to evaluate an advertisement on the basis of the “last click”, it may also be relevant to analyze the other clicks made before the one that led to the conversion. Thus, it is necessary to compare the click routes that led to conversion with those that did not. The goal is to understand which ads or keywords worked best for future cities among clicks that drove conversions and see which ads have the most impact.

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