Like Amy in the picture below, she often goes to Appier Store to purchase fresh food. After collecting and analyzing her transaction data and online interaction behavior through AIXON, the brand predicted Amy's extended interest in "organic food" and therefore launched the latest organic food. Special offer information is provided to Amy, so that the products that customers may be craving for appear in front of their eyes, helping brands accelerate the opportunity to transfer orders.
After creating a complete customer profile, brand owners can launch belgium phone number data a "membership system" to effectively scale the value and influence of the overall channel resources, turn customers into member operations, explore their potential needs, and tailor personalized programs for each customer. Experience, for example, by analyzing member usage scenarios and generating different behavior patterns in response to different channels and interaction time points, corresponding and appropriate brand marketing activities can be formulated, for example: providing different point feedback according to the member's consumption level. Incentivize consumption and improve member loyalty, analyze member tags, optimize product recommendation results, and promote sales.
For example, Baodao Eyewear, the largest chain of eyewear brands in Taiwan, uses AIXON to integrate online and offline data to enrich the analysis dimensions of consumer profiles and audience segmentation, and uses AI technology to understand the preferences or behavior patterns of high-value or sleepy customers, etc. Insight, while avoiding missing opportunities to understand customers and provide quality services, put out more accurate marketing materials and optimize each marketing activity. For details, please refer to: Baodao Eyewear Creates OMO Customer Experience .
Personalized experience consolidates loyalty and drives omni-channel revenue growth
Consumers want a personalized and consistent experience across every channel. Appier uses its hybrid deep learning engine to simultaneously learn and process online behavior and offline data on websites, apps, messages, and even physical stores. On smart TVs and display booths, the most touching recommended content is launched to bring revenue conversion to brand owners.