Automatically send “the right message

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Automated Journey: to the right person at the right time”
Through the customer journey, brands can better understand customer experience, interactive behaviors and touch points. At the touch points of digital marketing, MarTech tools can be used to design automated customer journeys based on customer preferences, consumption frequency and consumption habits , and make full use of Data enables marketing automation, efficiently diverts users, and creates a smooth customer experience.


In order to prevent new friends from being blocked and leaving after receiving the gifts, "zingala Silver Corner Zero Card" specially gives a sense of expectation in the welcome message, emphasizing that "you will get the shopping gold in a week" to give friends an incentive to stay. Silver Point Zero Card triggers an automatic journey through the tag of the new friend gift, and creates a second wave of contact experience seven days later with the "Q&A Roulette Game", achieving an automatic journey iran whatsapp phone number completion rate of up to 92%! Chen Ruixing, senior deputy general manager of Yinjiao Zero Card, said: "The functions provided by Crescendo Labs' all-round marketing platform MAAC are very rich and practical, especially automated marketing , such as automatic responses and automatic journeys , which can reduce labor costs and the chance of human errors. .
For different audiences of Monetary, of course, different resources should be invested, different content should be promoted, and differentiated ways of interaction should be used.

The amount of money a customer is willing to spend at a single time is an important analytical dimension for brands. The two indicators of Recency and Frequency are more related to the appropriate interaction time point, while the Monetary indicator is more related to the product orientation and price band of the push.

GOMAJI, a large e-commerce platform, uses the product recommendation message function of Crescendo Labs MAAC and uses AI algorithms to automatically push featured product graphics that meet consumer preferences. Take GOMAJI's 10th anniversary celebration as an example. GOMAJI targeted LINE friends who interacted frequently within 30 days and used a machine learning model to analyze their friends' consumption footprints. In just 3 days, the click-through rate exceeded 81% and more than 430 orders were received!