In 2020, the rise of smart retail and the wave of digitization have promoted the popularization of invoice carrier and the advent of electronic invoices. The rapid development of technology has changed the behavior of people who used to use paper invoices for monthly rewards checking. The method of automatic comparison of invoice data through the invoice carrier and the access by scanning the code is gradually replacing the traditional visual recognition.
The advantage of invoice data is that it can be used for cross-analysis based on consumption power, consumption location, and consumer product items combined with data from multiple sources to accurately outline consumer behavior dynamics. Grasp TA preferences and find target groups for brands to master the business opportunities. Realizing this market trend, we decided to add invoice data to the existing hybrid data, combine mature data analysis capabilities with invoice APP consumption data and online diversified data, and launch invoice data tags.
HOLMES ADs can fully reach potential consumers and implement data remarketing strategies through the following three levels of invoice data application:
1. Analyze the consumption level：Record the amount of consumption and target consumer groups at different levels, such as high-end products, affordable products, etc.
2. Analyze consumption locations：Target the locations where the target groups appear, such as convenience stores, department stores, online footprints, etc.
3. Analyze consumption types：According to consumer products, target the favorite types of target groups, such as: cars, food, beauty, etc.
Collect the user's consumption records through the invoice APP, clearly depict the outline of the crowd's consumption, complete records of consumption habits, location of purchase, consumer products, consumption amount and consumption time and other statistical data. Then return these data to [HOLMES DATA] to do multiple cross-analysis applications. Advertisers can use hybrid data sources, combined with marketing planning and strategy execution, to more accurately grasp actual consumption preferences to place advertisements, and achieve the goal of improving advertising.
The advantage of invoice data is that it can be used for cross-analysis based on consumption power, consumption location, and consumer product items combined with data from multiple sources to accurately outline consumer behavior dynamics. Grasp TA preferences and find target groups for brands to master the business opportunities. Realizing this market trend, we decided to add invoice data to the existing hybrid data, combine mature data analysis capabilities with invoice APP consumption data and online diversified data, and launch invoice data tags.
HOLMES ADs can fully reach potential consumers and implement data remarketing strategies through the following three levels of invoice data application:
1. Analyze the consumption level：Record the amount of consumption and target consumer groups at different levels, such as high-end products, affordable products, etc.
2. Analyze consumption locations：Target the locations where the target groups appear, such as convenience stores, department stores, online footprints, etc.
3. Analyze consumption types：According to consumer products, target the favorite types of target groups, such as: cars, food, beauty, etc.
Collect the user's consumption records through the invoice APP, clearly depict the outline of the crowd's consumption, complete records of consumption habits, location of purchase, consumer products, consumption amount and consumption time and other statistical data. Then return these data to [HOLMES DATA] to do multiple cross-analysis applications. Advertisers can use hybrid data sources, combined with marketing planning and strategy execution, to more accurately grasp actual consumption preferences to place advertisements, and achieve the goal of improving advertising.
