function track_msdynmkt_websiteinteractions_114741865() { window["msdynmkt"].setUser({ authId: ""}); // ID, e-mail or phone number - see instructions window["msdynmkt"].trackEvent({ name: "msdynmkt_websiteinteractions_114741865", //Trigger title: Website Interactions ingestionKey : "d12470e34c7a4283ac8769a2797687ca-fab4c50f-f357-4516-a3f8-b908fdfbc681-7154", version: "1.0.0" ,     properties: { "dateandtime" : "", "url" : "", "bindingid" : "" } }); } global eia # ID, e-mail or phone number - see instructions user = User(auth_id='') eia.set_user(user) #Trigger title: Website Visit sampleEvent = Event('msdynmkt_websitevisit_083156767') sampleEvent.set_property("bindingid", "") eia.track_event(sampleEvent)
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Cross selling

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The need

Analyse and identify opportunities for cross-selling.

Forecast customers behaviour predicting their interests. 

Develop microtargeted marketing campaigns to address customer’ unique needs.

Tailor cross-selling efforts according company’s requirements.

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The solution

Machine Learning model to predict the probability that customers contract the new product.

Analysis of the most important features to understand the customer behavior.

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Select the best 3000 clients for the marketing campaign.

It allows the company to optimize its marketing efforts.


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