Examples of using Customer behavior in English and their translations into Chinese
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Improving the customer experience: AI provides the opportunity for improved and faster decision making by deriving deep and actionable insights(e.g. customer behavior patterns).
Add your Google Analytics data for example, and see aggregate trends in customer behavior on your site alongside your advertising campaign performance.
From here, Mason says, he sees Groupon expanding into every sphere of local commerce, from analyzing customer behavior and offering customer reviews to scheduling reservations.
Big data analytics is aimed at pattern discovery, correlations and similar insights-- for example, predicting future trends and customer behavior based on past activities.
The purpose of Big Data Analytics is to discover insights and irregularities, and to enhance the understanding of business performance and customer behavior.
The marketers can leverage this data to create impactful insights, identify patterns to capture customer interactions, and predict customer behavior and lifestyle.
Such data can help companies understand and predict customer behavior and gives them the opportunity to provide a more proactive experience.
This information allows us to better understand customer behavior, improve our products and services, and improve the user experience on the Site.
Changing customer behavior, technological breakthroughs and resource scarcity are among the main drivers of circular solutions.
AI can even help companies anticipate customer behavior and provide customer service with advice on how best to address specific issues.
Read the study to discover the true business benefits of implementing IBM customer behavior analytics solutions.
Real-time insights to customer behavior drive content that creates impressions through segmentation and personalization(Figure 2).
AMC Networks' future success depends on truly understanding customer behavior in a multi-channel world.
Fractal Analytics' flagship Customer Genomics™ solution helps marketers learn complex customer behavior at an individual level.
Based on personal data and artificial intelligence algorithms, these virtual assistants are able to anticipate customer behavior.
(D) commercial banks in the estimation of future cash flow, customer behavior adjustment can be carried out in accordance with the precautionary principle transactions.
Anagog's AI-powered software allows companies to understand and predict customer behavior in certain situations.
Such huge amounts of data can help us better understand and predict customer behavior.
Combined with the internet, retailers were able to gain customer behavior information easily, transferring the power to them.
Fraud Detection: Financial companies, retailers and others use Big Data techniques to combine customer behavior, historical and transactional data to detect fraudulent activity.