Artificial intelligence in e-marketing, artificial intelligence in e-commerce, artificial intelligence marketing, artificial intelligence in advertising, employing artificial intelligence techniques in marketing, applying artificial intelligence in marketing, and profit from marketing with artificial intelligence, all these details we will talk about in the following lines.
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Artificial intelligence in electronic marketing
Artificial Intelligence has become one of the essential tools in the digital marketers' arsenal, revolutionizing the digital marketing industry.
Its use is no longer limited to large companies. It is used even by small businesses and projects.
A study it conducted on artificial intelligence in e-marketing showed that 55% of companies use it artificial intelligence Or thinking about using it in digital marketing.
Artificial Intelligence in e-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).
Ways to benefit from artificial intelligence in electronic marketing
We will mention in the following lines the ways to benefit from artificial intelligence in electronic marketing:
Chat bots
- These 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 enhance brand engagement and help improve customer experience by providing them with round-the-clock support.
- These robots can also handle multiple customers at once.
- Many companies have come to rely on chatbots to provide support to their customers, due to their low cost.
- The beauty of this is that in many cases clients do not realize that they are talking with a computer program and this is the most prominent goal artificial intelligence.
Dynamic pricing
- Dynamic pricing (commonly referred to as custom pricing) is a pricing strategy, where 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, you will determine the prices of products dynamically.
- An example of the use of dynamic pricing is on hotel booking sites, where prices fall and rise dynamically based on room occupancy rates, tourist season, past bookings and customer history.
Targeted advertisements to reach target customers
- Using cookies and browsing history data, AI can target ads to customers based on criteria like 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.
- Next, 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.
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Analyzing data to reach marketing goals
- 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 should make the most of this technology and use its superior data analysis power to understand your customers and build your marketing strategies and campaigns.
Understanding customers to deal with the market effectively
- Artificial intelligence can be used in digital marketing, helping marketers know what consumers are saying about their brand in real time.
- There are social media monitoring tools that analyze what people in social networks are saying about your brand, helping you leverage AI in digital marketing.
- 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 craft their marketing messages for 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 networks use artificial intelligence to analyze their visitors' online activities.
- Provide suggestions and recommendations for products and content that suit them to increase conversion rates and spend more time on their site.
- Marketers are constantly striving to find new ways to connect with customers.
- They want customers to spend as much time as possible on their sites or apps.
- Here comes the benefit of artificial intelligence, as it provides the visitor and user with content or products and services that suit their interests and needs.
- This depends on the user's online activities, the topics they search for, the sites they visit, and the areas they are interested in.
- The best example of this is e-commerce sites, especially Amazon.
- Which recommends and suggests products to visitors based on what they are looking for, or products they have purchased before.
- According to McKinsey, 35% of Amazon's (e-commerce site) revenue comes from its recommendation engine.