영어에서 Customer behavior 을 사용하는 예와 한국어로 번역
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Programming
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Customer Behavior.
Digital transformation is a shift in customer behavior.
Analyze customer behavior patterns to boost store profits.
Currently, various systems and methods are used for targeted advertising based on user/ viewer/ customer behavior.
Often customer behavior turns out to be very different from what marketing research predicts.
Use our BI tools to eliminate guesswork, monitor key metrics, and gain valuable insight into customer behavior.
Predicting Customer Behavior in Financial Services With AI and Data Science- Appier.
We lead changes in financial industries by applying big data and mathematical algorithms to predict customer behavior and risk.
Classify customers, predict customer behavior, select market approach or channel.
Obtain near-real-time intelligence about inventory levels in your filling plants and warehouses, as well as dealer inventories and customer behavior.
Today, access to detailed, real-time insights about customer behavior is a core competitive advantage in many industries.
Many retail organizations use predictive analytics to create a 360-degree customer profile and predict customer behavior.
For example, analytics may be used to predict customer behavior or prescribe changes that make the supply chain more efficient.
So, how do you know whether your brand is ready to move on from broadcasting one simple message to predicting and shaping customer behavior?
With a clearer picture of transactions and customer behavior, the company can take action on inventory immediately instead of waiting.
We can now tie this comprehensive customer data model back to the specific advertising and marketing campaigns that drives the customer behavior.
I wanted to learn the fundamentals, get some ideas on customer behavior, and at least be able to adapt to the marketing speak," she added.
Bloomberg predicts that 5.8 million peopleacross North America and Europe will have smart home devices by 2019, capturing valuable data about customer behavior.
To truly understand customer behavior, data must be organized in a way that shows a deep understanding of the way people think and behave.
Hitachi Vantara's Pentaho Business Analytics, used specifically for dashboards and reports, provides customer behavior analysis for more in-depth business insights.
It had billions of data points on customer behavior, email campaigns, and shipping logistics, but it had no way to gain timely insights.
We use the anonymous information, for example, to detect operational issues and feature usage so that we can better understand customer behavior and improve our products and services.
AI is even helping to predict customer behavior, providing advice to customer service reps on how best to solve a particular issue.
Based on this capacity and capability,we see firsthand what happens at the intersection of digital experience and digital security and how that impacts customer behavior and business success.
AI can even help companies anticipate customer behavior and provide customer service with advice on how best to address specific issues.
At the classes students pay attention to the development of marketing strategy and the major components of the marketing mix,they can examine the critical environmental factors of markets and customer behavior characteristics that affect marketing operations.
LBS and RTLS help in understanding customer behavior& interests and offer a digital platform for venders and customers to improve interaction among them.
By collecting, attributing, and analyzing data from across channels,retailers can develop a holistic view of each customer, predict customer behavior, and further personalize products, services, promotions, loyalty programs, and targeted advertising.
Influencing customer behavior- directing customers to different areas, increasing the"dwell time" on the store premises, and a wide range of other uses in service of such influence.
In a previousarticle for Harvard Business Review(“Breaking the Trade-Off Between Efficiency and Service,” November 2006), I related lessons from several companies that have used a range of techniques to modify customer behavior.