Buying incentives: Give customers something to look forward
Posted: Tue Jan 21, 2025 5:24 am
On e-commerce platforms, if brands can improve UI/UX design for festive promotions, such as establishing dedicated pages for all promotional products and making good use of recommendation sections to provide a simpler and more personalized browsing experience, after consumers enter the site, The online shopping experience can also be improved by instantly displaying the products they have viewed and deploying chatbots to answer consumers' questions instantly.
For example, Taiwan's sneaker trading platform AREA 02 uses belarus mobile phone number list AI-driven personalized solutions to automatically detect user behavior and trigger push notifications based on events to display products that may be of interest to individual customers, thereby stimulating consumption conversions. Through more detailed member profiles and targeted communication, AREA 02 has also successfully promoted the number of repurchases and the number of products purchased by members, resulting in a 30% increase in member return visits to the platform and a 2.5-fold increase in the number of repurchases every year, increasing customers' awareness of the brand. loyalty, thereby creating continuous purchasing behavior.
Figure 2: AREA 02 injects personalized experiences into all marketing channels through AIQUA’s one-stop solution
Figure 1: Taiwan’s sneaker trading platform AREA 02 injects personalized experience into all marketing channels to drive sales conversions
During the festival period, brands often offer many discounts and offers in order to attract more consumers to place orders. However, if consumers are still hesitant to face these offers and have no intention of checking out, what countermeasures should brands take to attract these consumers? "Hesitant customer" clicked the checkout menu and cleared the shopping cart smoothly?
Whether a brand can successfully induce consumers to switch depends on two factors: first, whether consumers really consider purchasing; second, what kind of incentives the brand provides to break through the hearts of hesitant customers. Thanks to technology, finding hesitant customers no longer requires guesswork. By analyzing more than 400 digital body language data attributes such as cursor movement and page scrolling , the AI algorithm can calculate a hesitation score for each viewer.
For example, Taiwan's sneaker trading platform AREA 02 uses belarus mobile phone number list AI-driven personalized solutions to automatically detect user behavior and trigger push notifications based on events to display products that may be of interest to individual customers, thereby stimulating consumption conversions. Through more detailed member profiles and targeted communication, AREA 02 has also successfully promoted the number of repurchases and the number of products purchased by members, resulting in a 30% increase in member return visits to the platform and a 2.5-fold increase in the number of repurchases every year, increasing customers' awareness of the brand. loyalty, thereby creating continuous purchasing behavior.
Figure 2: AREA 02 injects personalized experiences into all marketing channels through AIQUA’s one-stop solution
Figure 1: Taiwan’s sneaker trading platform AREA 02 injects personalized experience into all marketing channels to drive sales conversions
During the festival period, brands often offer many discounts and offers in order to attract more consumers to place orders. However, if consumers are still hesitant to face these offers and have no intention of checking out, what countermeasures should brands take to attract these consumers? "Hesitant customer" clicked the checkout menu and cleared the shopping cart smoothly?
Whether a brand can successfully induce consumers to switch depends on two factors: first, whether consumers really consider purchasing; second, what kind of incentives the brand provides to break through the hearts of hesitant customers. Thanks to technology, finding hesitant customers no longer requires guesswork. By analyzing more than 400 digital body language data attributes such as cursor movement and page scrolling , the AI algorithm can calculate a hesitation score for each viewer.