An example of classic retargeting

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Trigger mailings activate a chain of events that leads the user to a purchase. These messages are sent automatically after certain human actions. For example, the user puts an item in the cart but does not complete the purchase and receives a reminder letter an hour later. After the second day — a discount. It is important that such communications do not require manual intervention and work on autopilot.
Predictive analytics adds forecasting. Instead of simply reacting to a customer’s actions, you can predict what they will do next. For example, the system shows that a user is highly likely to leave a request if they are offered a consultation. This allows you to spend money only on those who are truly ready to buy.
Chatbots have already become a standard. They do not just answer questions, but also actively participate in the sales funnel: they collect data, help the client choose a product and bring it to payment. For example, an AI bot can instantly respond to user questions on the site, without making them wait for a support manager.
Autofunnels combine all these elements. The client enters the system and receives a personalized route: mailings, messages, promotions. All steps are built in such a way as to lead the user to a purchase. The person sees relevant content at the right time. This reduces the cost of the lead and speeds up the client's path to the target action.
Retargeting
Retargeting is an opportunity to re-attract a user who has already shown list of hong kong cell phone number interest in a product to your site. In 2025, this tool has become even more accurate thanks to integration with artificial intelligence. You are no longer trying to “reach” everyone. You show ads to those who are ready to return and complete the order.

Classic retargeting works on a simple principle: the user visited the site, looked at the product and left. A few hours later, he sees your offer again - already on social networks or on other sites. Such reminders bring him back to purchase. But simple repetition of advertising loses its effectiveness if it is not accompanied by data analysis and personalization.

AI is changing the approach to retargeting. Instead of trivial reminders, you get a pinpoint forecast of behavior. For example, the system analyzes which products users most often buy after viewing a certain category. It predicts when the customer is most likely to return, and shows ads at that moment. This not only increases the likelihood of conversion, but also reduces costs. If a certain audience has stopped responding to advertising, AI will tell you what to change. Retargeting is no longer based on assumptions. Data dictates how to act.

Example of retargeting with AI
Another advantage of AI is the automatic determination of priority segments. The system itself decides who to show ads to and who can be left for later development. You do not waste your budget on users who will never buy. Instead, resources go where the probability of a transaction is highest. This approach reduces CPL and increases trust in the brand.