by our SEO Agency and our SEA Agency Optimize 360
In the world of digital marketing conversion is a key concept to measure the effectiveness of SEO (Search Engine Optimisation) strategies and SEA (Search Engine Advertising).
Thanks to the development of machine learningIn this way, it is possible to significantly improve the performance of these traffic acquisition levers.
In this article, our SEO Agency (and SEA) explores the definition of conversion and its usefulness in the context of SEO and SEA, as well as the benefits of machine learning for optimising results.
Before looking at the specifics of machine learning as applied to SEO or SEA, we need to look at the concept of conversion, which lies at the heart of the approach. Conversion is theaction carried out by a user following his visit to a websiteThis action is considered an objective for the site owner.
These actions can be many and varied, depending on the objectives pursued by the site:
Conversion should not be confused with transformation, the latter term referring rather to a passage from one state to another, without necessarily achieving a specific objective.
SEO and SEA are two essential digital marketing levers for generating traffic to a website with the aim of improving the conversions. To do this, it is essential to have a clear understanding of their respective uses.
Le Search Engine Optimization (SEO) consists of a series of actions designed to improve a site's visibility in natural search results and thus increase its targeted traffic. These actions include
When we talk about conversion in SEO, we are talking aboutattract qualified traffic to the site and maximise the likelihood of users taking the desired action.
Alongside SEO, the Search Engine Advertising (SEA) is a paid solution for buying visibility on search engines and generating targeted traffic. SEA is mainly based on :
With SEA, the aim is also to maximise conversions while keeping acquisition costs under control.
Machine learning is an innovative technology that involves developing algorithms capable of learning automatically from data. The principle is based on an iterative approach that reveals predictable patterns.
Machine learning offers considerable potential for optimising SEO actions. Some of the areas where this technology can be exploited include :
Deep learning, a sub-branch of machine learning based on deep artificial neural networks, can also be applied to the SEA field to improve the performance of advertising campaigns. Here are a few examples of applications:
To sum up, integrating machine learning into SEO and SEA campaigns enables :
In the final analysis, machine learning appears to be an innovative response that can enhance the effectiveness of SEO and SEA strategies in meeting conversion targets.
This technology makes it possible to stand out from the crowd in a constantly evolving digital world.
To provide the best experiences, we and our partners use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us and our partners to process personal data such as browsing behavior or unique IDs on this site and show (non-) personalized ads. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Click below to consent to the above or make granular choices. Your choices will be applied to this site only. You can change your settings at any time, including withdrawing your consent, by using the toggles on the Cookie Policy, or by clicking on the manage consent button at the bottom of the screen.