The cornerstones of online shopping success are marketing efficiency and customer understanding. In this digital age, Google, Meta and TikTok are key channels through which Online Stores can reach their audience.
Learning visitor behavior using algorithms
Google, Meta and TikTok use sophisticated algorithms that analyze user behavior and preferences. These algorithms play a key role in understanding how visitors act in online stores. They collect data on how users browse products, react to advertisements and make purchase decisions.
For example, Google Ads uses machine learning and artificial intelligence to predict the user's likely actions after seeing an ad. On meta-based platforms like Facebook and Instagram, marketers can use algorithms to target their ads to the audience most likely to respond to them. TikTok, on the other hand, uses similar algorithms to personalize its user experience, offering users content that matches their preferences.
The power of automation in audience identification
It is challenging for a person to perceive a wide audience individually based on behavior alone. Automation tools, unlike humans, are able to analyze massive amounts of data and identify user segments in an online store. These tools are able to design just the right kind of content and automatically adapt marketing messages based on the behavior of individual users.
For example, if a user has searched for a certain product, the automation can react by offering him similar products or advertisements. This happens in real time and automatically without manual input from the marketer.
Scheduled activities and personalized campaigns
Automation tools can also schedule marketing campaigns in online stores. For example, users who shop at a certain time can receive tailored offers just when they are most active. This increases the likelihood of a successful conversion.
In summary, Google, Meta and TikTok ads in the AI Commerce Cloud online store are based on the analysis of user behavior. The algorithms of these platforms learn the audience's preferences through the AI Commerce interface and automatically process the marketing messages and actions of the personas. This enables even more accurate audience identification and marketing, significantly improving e-commerce advertising revenue (ROAS).
