5 ways to use artificial intelligence in digital marketing
Posted: Sat Apr 19, 2025 5:37 am
1 – Content optimization
It is essential that companies produce content on topics that their customers are interested in, in order to deliver a satisfactory and attractive experience that meets their needs.
This is where artificial intelligence and machine learning come in, where it is possible to receive ideas for topics and titles based on reading and analyzing data. This way, brands can produce more personalized materials that are capable of attracting a greater number of leads.
It is possible to create texts with thailand mobile database that processes and analyzes thousands of documents in order to create the best possible content, adapting to the writing style and rules of each company, and generating more value, which makes it easier for these materials to be found by search engines.
2 – Lead qualification
Machine learning also helps in the company's commercial sector, as it makes it possible to qualify leads that already have a certain interest in your service, helping the sales team both in prospecting and in converting leads, based on relevant data available online.
To do this, the data generated is used as a “filter”, indicating the right people for the salesperson to approach. This creates an ideal consumer profile to be used later by the sales team.
With each sale made, the data is updated, improving the prognosis of new possible sales and helping salespeople save time. This makes it possible to prioritize the most qualified leads and channel sales efforts to the right locations and appropriate strategies.
3 – Virtual service or chatbots
A great way to serve a larger number of visitors to your website is with virtual customer service, or chatbots, as they are commonly called. This artificial intelligence program can simulate a conversation with the user, trying to make the language seem natural, and allows the visitor or customer to be served at any day and time.
This way, companies can predict answers to frequently asked questions or even guide users to the product/service they are looking for. Capturing attention in this first phase can be crucial, hence the importance of a more personalized and non-monotonous conversation.
It is essential that companies produce content on topics that their customers are interested in, in order to deliver a satisfactory and attractive experience that meets their needs.
This is where artificial intelligence and machine learning come in, where it is possible to receive ideas for topics and titles based on reading and analyzing data. This way, brands can produce more personalized materials that are capable of attracting a greater number of leads.
It is possible to create texts with thailand mobile database that processes and analyzes thousands of documents in order to create the best possible content, adapting to the writing style and rules of each company, and generating more value, which makes it easier for these materials to be found by search engines.
2 – Lead qualification
Machine learning also helps in the company's commercial sector, as it makes it possible to qualify leads that already have a certain interest in your service, helping the sales team both in prospecting and in converting leads, based on relevant data available online.
To do this, the data generated is used as a “filter”, indicating the right people for the salesperson to approach. This creates an ideal consumer profile to be used later by the sales team.
With each sale made, the data is updated, improving the prognosis of new possible sales and helping salespeople save time. This makes it possible to prioritize the most qualified leads and channel sales efforts to the right locations and appropriate strategies.
3 – Virtual service or chatbots
A great way to serve a larger number of visitors to your website is with virtual customer service, or chatbots, as they are commonly called. This artificial intelligence program can simulate a conversation with the user, trying to make the language seem natural, and allows the visitor or customer to be served at any day and time.
This way, companies can predict answers to frequently asked questions or even guide users to the product/service they are looking for. Capturing attention in this first phase can be crucial, hence the importance of a more personalized and non-monotonous conversation.