Artificial Intelligence has become the component of public opinion.
If one of the campaigns is successful enough, it will make its way to success amidst the complex factors affecting the selection process such as: - customer characteristics, demographics, turnout, impressions.
To buy ads to communicate with customers in a way that affects or even inspires them, massive amounts of personal information about customers must be obtained by means of acquisition ads.
Acquisition campaigns run direct response ads to directly obtain a person's contact information or opinions.
Every ad, phone call, email, and click increases this information.
Many of these personal details come from people who have already made their decisions about the product.
And at the top of the ranks of progress there are billboards equipped with Bluetooth technologies to collect information about clients, although this type of monitoring is not the general rule, but its purpose can be understood.
Personal targeting: -
Personal targeting is based on computer models, which can divide customers into very specific groups.
Social platforms: -
Social platforms differ in the exact type of targeting they allow. Facebook allows campaigns to target small groups and individuals.
With the "custom audience" feature, campaigns can upload a spreadsheet of users' profiles and spread their message with extreme accuracy.
They can also take advantage of a tool called "lookalike," and the tool uses those custom lists to find profiles of customers who are likely to respond in similar ways.
While other platforms have more restrictive policies, especially in election campaigns.
Google recently banned precise political targeting, and Twitter banned political campaign ads as well
Artificial Intelligence shapes public opinion, because:
Cell phone users tend not to answer calls from numbers they do not know (such as pollsters). People have increasingly pretended to be shy when asked for their opinions on something.
In response, campaigns are turning to machine learning and artificial intelligence to predict customer behavior.
Instead of relying on an intermittent measurement of crowd trends, models are now run using constantly updated data sets.
The most common method used by campaigns is called scoring, whereby a number from 1 to 100 is assigned to a group of voters based on how likely they are to do something or hold a certain opinion.
Campaigns use these possibilities to guide their strategies, either by trying to convince clients who have not made up their minds yet, or by leveraging those with established opinions in order to raise money or mobilize audiences.
Technologies that are being actively employed today are building a reality in which campaigns can be guaranteed success.