COLLECTING DATA First, check the data at your disposal

A widely recognized collection for machine learning tasks.
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ariful199
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Joined: Thu Dec 26, 2024 8:42 am

COLLECTING DATA First, check the data at your disposal

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Can you recognize users? Based on what technology? (database, cookie, fingerprint, CRM ). Is it possible to integrate all the information together?
HYPOTHESES ABOUT SEGMENTS It’s essential to leverage profiling to build dynamic segments that create a diverse experience by user type. Who are your customers? What kind of behaviors have you recorded? Try to divide your audience into small, meaningful groups.
UNDERSTANDING THE CUSTOMER JOURNEY What does the user expect after a certain action? What needs can you anticipate? If you are searching or browsing a certain product, what type of commercial experience can you offer? Starting czech republic cell phone number list from the segments, it is possible to draw a story for each user.
MAPPING AVAILABLE CHANNELS Recognizing the user means offering the right thing, at the right time not only when browsing, but also when they have abandoned e-commerce. When is it a good idea to implement personalized automation? How? Pop, up, email, sms, social, etc.
TEST HYPOTHESES As always, each hypothesis must be tested and the successful ones must take the place of the less successful ones. In this sense, it is also advisable to carry out A/B tests, in order to test and optimize the performance of your e-commerce in real time, in favor of a better experience with your brand.
In the next post, we'll explore some ideas to start thinking about the first two points, from data analysis to creating value segments.
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