Enterprise traditional advertising: it’s hard to get customers to see specific results
Today, with highly developed social civilization and rapid development of Internet technology, it is difficult to guarantee the traditional marketing effects commonly used by enterprises before. Under traditional marketing methods, such as the media placement that traditional companies often do, they will suffer from the Internet, self-media and other parties. Basically, they can leave very few precise customers. This is also what most companies are facing The problem.
However, no one knows the specific method of advertising, the best coverage and the best effect, only practice.
Operators big data directly reach precise customer groups
The time period of the traditional advertisement and the position of the advertisement are predetermined in advance. We objectively estimate the reach and effect of the advertisement, but the effect of the specific advertisement is "invisible". Because advertising is based on media projections, rather than direct contact with the target audience.
Operator big data is to directly help companies obtain the target audience of their own brands or competitors' brands and reach them accurately.
In this era of emphasis on personalization, consumers will receive advertising exposure from many aspects, and the authority of traditional media advertising is accepting strong challenges.
How can operators' big data be accurately reached?
In fact, whether it is media advertising or corporate promotion, its essence is to say the right words to the right people, in the right way.
Operator big data is based on its big data technology, through accurate modeling of advertising related platforms, such as their own or competitors’ websites, apps, 400 phones, fixed phones, mini programs, keywords, etc., to analyze and Acquire real-time visitors, active users, newly registered users, callers, and related searchers, and filter by region, gender, age, number of visits, length of visit, call duration, number of calls and other dimensions to filter the precise customer target group that matches yours , Bringing the possibility of accurate target customers for related enterprises.
Operator big data helps companies find accurate target customers
Use operator big data to collect and mine accurate customer data, and re-categorize these data from multiple dimensions, such as: accurate customers needed by real estate companies, user A: age 23, male gender, unmarried, often downloads and uses real estate category APP, often browse and visit real estate-related websites and web pages, and conduct housing consultations with relevant real estate 400 calls, fixed-line telephones... etc. The above can label user A as "accurate customer in the real estate industry". After user profile analysis, It is determined that the user is a potential purchaser.
These user groups are real and active, and they are easy to form conversions and transactions, and they are reached through the outbound platform of the operator's big data, which will directly target the core target audience they need.
Nowadays, the big data technology of operators has solved the customer acquisition problem of traditional enterprises. Through the operator's big data modeling and the establishment of user portraits, industry label matching can accurately identify user needs. Through the operator's big data outbound platform, the intended customers can be directly contacted, accurately and effectively.