The Applications Of Artificial Intelligence In Digital Marketing
Artificial intelligence has gained in importance in the field of digital marketing, mainly for three reasons: the explosion of information and data sources, the increase in the capacity of software to process them and the creation of algorithms for more and more complex and advanced. How does AI influence online marketing strategy? What are its main applications today? 1. Facilitate the personalization of the user experience Artificial intelligence changes the Morocco WhatsApp Number List interaction between the brand and users, although the application of this type of technology depends a lot on the nature of the website and the type of business.
For example, in the case of e-commerce , massive data processing using AI makes it possible to analyze the user’s browsing or purchase history in order to display dynamic content, offer him recommendations of products similar to those visited, personalized promotions and even advanced search suggestions. However, in the case of brands that have a powerful content marketing strategy (very common in B2B fields), AI algorithms tailor similar post suggestions based on the customer’s journey through the website. It also facilitates the analysis of lead data in order to classify them and determine according to which variables to measure their quality ( lead scoring ).
Succeed In Capturing Organic And Paid Traffic More Efficiently And Profitably
Google is already transforming its algorithms with artificial intelligence to adjust the results it offers to the search intent that the user displays during a query. Faced with research ambiguity, the RankBrain algorithm delineates the possibilities with different types of content and tests user behavior by identifying patterns . When planning the on-page SEO positioning strategy and content creation, you shouldn’t just think in terms of single keywords. There are many other factors to consider, such as the impact of voice searches or user-centric copywriting techniques. MATÍAS CANDAL , ASSOCIATE PARTNER AT LABELIUM In addition, the application of artificial intelligence tools as part of the paid strategy is on the agenda.
Thanks to machine learning, software learns without having to program it with rigid rules. AI applied to the management of advertising campaigns allows: Optimize advertising actions from a global perspective : Data-driven algorithms test multiple variations and interactions to determine and build on the most effective strategy. Segment audiences with minimal margin of error : AI tools are able to estimate which type of user is more inclined to convert based on the different interactions of those who have already converted. In this way, it is possible to reach new audiences related to the brand and to execute dynamic and very effective targeting .
Google Ha Incorporated Inteligencia Artificial A Sus Algoritmos
Process a massive volume of data to be filtered and analyzed Efficient use of data to segment and reach audiences is the top priority of more than half of digital marketers according to Econsultancy’s 2019 Digital Trends report . In this sense, the application of AI for advanced analytical tasks allows the integration of data from different channels in order to achieve greater visibility of target KPIs. Artificial intelligence (AI) technology is able to aggregate and process data of a very diverse nature from different platforms to draw conclusions and apply a data-driven decision-making approach.
However, consolidating data can prove to be a daunting task as companies use different systems that normally operate as isolated silos. For example, transactional information can be in the hands of the CRM or ERP, while the information on user behavior is contained in the CRM or on Google Analytics, on Social Media platforms and even in the system. e-commerce tracking . A dataset with no context, no defined purpose, has no value. Artificial intelligence tools help deepen data processing, but we cannot ignore the role of the analyst in the whole process: who chooses which KPIs to monitor and on what criteria?