E-marketing relies on artificial intelligence

E-marketing relies on artificial intelligence

E-marketing relies on artificial intelligence. Artificial intelligence has become one of the essential tools in the arsenal of digital marketers, as it has revolutionized the e-marketing industry. Its use is no longer limited to large companies, but is now used by even small companies and projects. A study conducted by Smart Insights showed that 55% of Companies are using or considering using AI in digital marketing.

AI Marketing allows marketers to collect and analyze massive amounts of data from social networks, emails, and the web in no time. Marketers can use the results of these analyzes to improve the performance of their marketing campaigns and improve their return on investment (ROI). We explain all these details on the website Trianvo.

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E-marketing relies on artificial intelligence

We will mention in the following lines how electronic marketing relies on artificial intelligence:

Chat bots

Chatbots are computer programs developed to interact with customers online, answer their questions, provide support, and help them complete purchases. Chatbots can also be integrated into websites and social media pages.

Chatbots improve brand engagement and improve customer experience by providing 24/7 support. It can interact with multiple customers simultaneously. Many companies have become dependent on chatbots to provide support to their customers, due to their low cost. The nice thing is, in many cases, customers don't even realize they're talking to a computer program.

Dynamic pricing

Dynamic pricing (commonly referred to as personalized pricing) is a pricing strategy. The price is determined according to demand, product inventory, and customer profile. Artificial intelligence software can analyze your profile using cookies, history of visits, searches, and other digital activity.

Accordingly, product prices will be determined dynamically. An example of using dynamic pricing is hotel booking sites. Prices fall and rise dynamically based on room occupancy rates, tourist season, previous bookings and customer history.

Targeted ads

By using cookies and browsing history data for digital marketing, AI can target ads to customers based on criteria such as geographic region, age, gender, and more. You can see this very clearly in Google, have you ever noticed that if you search for something on Google.

Then you go to YouTube, and the ads you see are often related to things you were searching for on Google, or topics you were reading. Google has been able to use AI technologies in marketing by analyzing network activity and search history to target ads that match your needs and interests.

data analysis

Data analysis is one of the most important applications of artificial intelligence in e-marketing. There is no room for improvisation in today's world, all your marketing decisions should be made based on data. There is a wealth of data about customers that AI programs can analyze and use to craft attractive and effective marketing messages.

Artificial intelligence techniques can be used to analyze data more quickly and accurately than humans can. Systems exist to analyze market fluctuations, predict general trends, and analyze customer behavior. As a marketer, you must make the most of this technology, and use its superior ability to analyze data to understand your customers and build your marketing strategies and campaigns in order to benefit from electronic marketing’s reliance on artificial intelligence.

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Understanding customers

Artificial Intelligence can be used in digital marketing, as it helps marketers instantly know what consumers are saying about their brand. There are social network monitoring tools that analyze what people on social networks are saying about your brand, which helps you benefit from artificial intelligence in the field of marketing mail.

AI programs have the ability to determine whether your brand is mentioned in praise, slander, or in a neutral way. Based on this information, marketers can modify and formulate their marketing messages to achieve maximum effectiveness.

Recommendation and personalization of content

Content curation is one of the best examples of AI marketing. E-commerce websites, blogs, and many social media networks use artificial intelligence to analyze their visitors' online activities. And provide suggestions and recommendations for products and content relevant to them to increase conversion rates and spend more time on their sites.

Marketers are constantly striving to find new ways to connect with customers, and they want customers to spend as much time as possible on their sites or apps, and this is where artificial intelligence comes in handy. It provides the visitor and user with content or products and services that suit their interests and needs. Based on the user's online activities. The topics he searches for, the websites he visits, and the fields he likes.

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