Examples of using Purchasing behavior in English and their translations into Vietnamese
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Colloquial
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Ecclesiastic
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Computer
Consider your own purchasing behavior.
Shifts in purchasing behavior are also reflected in the role of the store.
The true power of a brand lies in its ability to influence purchasing behavior.
Understanding the purchasing behavior of a specific demographic is one of the most important sets of research data available to marketers.
The survey asked, among other things, about the factors that influence purchasing behavior.
These track and incentivize purchasing behavior and engagement, ultimately rewarding customers in different ways for their repeat business.
To some degree,consumers in the same social class exhibit similar purchasing behavior.
To administer and analyze our client base(purchasing behavior and history) in order to improve the quality, variety, and availability of products/ services offered/provided;
Identification of attitudes andpersonality characteristics that affect a person's lifestyle and purchasing behavior.
AI andmachine learning algorithms are routinely used to predict our purchasing behavior and to recognize our faces or handwriting.
Effective advertising often requires multipletouch points to effectively influence a customer's purchasing behavior.
These particular segmentation variables havebeen chosen as they are likely to influence the purchasing behavior of books and, therefore, should lead to the identification of interesting segments.
Explain the similarities, including in the evolutions observed in terms of consumer perception,expectations and purchasing behavior;
Cultural influences on purchasing behavior vary from country to country, therefore sellers must be very careful in the cultural analysis of various groups, regions or even countries.
For example, if you worked in e-commerce, you would need to learn the purchasing behavior of online shoppers.
When researching past customer purchasing behavior data, management can forecast the company's revenue in the future, as well as gain a deeper understanding of the impact on customer behavior. .
A clustering problem is when you want to discover the inherent groupings in the data,such as grouping customers by purchasing behavior.
The company has mined data from over 152 million customers(and counting)to understand purchasing behavior and recommend products based on purchase history and related products.
Marketers are concerned with social class for the reason that people within a particular social class tend to demonstrate like behavior, including purchasing behavior.
Their purchasing behavior is very impulsive and driven largely by social media, with over 70% of young adults in China between the ages of 18-22 willing to purchase products through social media according to an Accenture survey.
The experience people have through the application andinterview process directly impacts purchasing behavior, irrespective of whether they secure the job.
Some marketing materials are designed to inform, others attempt to portray the product or service attractively,yet others attempt to influence purchasing behavior.
However, by layering these already-powerful targeting options with additional data- say,by incorporating purchasing behavior on top of demographic data- you can leverage these combinations to create timely, relevant campaigns.
To do this, we need to review the list of segmentation bases/variables and choose two or three of those variables that we think(or know from market research)affect the purchasing behavior of book consumers.
Still today, the label“Made in…” likely has one of the most significant impacts on people's perceptions,value attribution and purchasing behavior across product categories, both positively and negatively.
Since 1998, Cotton Council International(CCI) has regularly conducted the“Global Lifestyle Monitor” consumer survey to gain valuable insights into a broad range oflifestyle-relevant consumer products with a focus on clothing, purchasing behavior and textiles of all kinds.
The huge volumes of data produced by IoT devices will provide critical insights into product development,customer purchasing behavior, and the manufacturing process.
For instance, if a customer browses for a gift for someone,dynamic segmentation will categorize them with the segment most appropriate to their present purchasing behavior, by using real-time data; and sending relevant offers for targeting.