How to Do Marketing Under the Big Data Area

Firstly, though big data we can do customer behavior & feature analysis.
It is obvious that only after that you have collected enough user data that can you analysis customer’s preferences and buying habits, and even “know more than themselves”. This is the premise and starting point of the big data. There were many companies whose slogan is “all take the customer as the core” but how can we know customer’s mind? Just by thinking? Maybe only the big data area can answer you the question.

Secondly, through big data to make precise information push.
In the past years, precision marketing was always be referred by many companies, but there is hardly anyone can do it. The reason is that the so called precision marketing in the past is not precise, because we don’t have the backup of data. RTB shows better precision marketing and it lies on its big data backup.

Thirdly, through big data we can cater to customer’s pleasure.
If we know the potential user’s features and interests before the production of our product, we could easily cater to their pleasure.

Fourthly, through big data we can help enterprises to filtrate VIP customers.
Lots of enterprises confused that among enterprise’s users, friends and fans who is your most valuable customer? We can find the answer from big data. Different data can tell you some relationships between you and the information.

Fifth, through big data you will know more clearly of your product consumers.
At the face of the growing new medias, many enterprises want to transform their fans to potential customers, activate 
the social value of the assets and make the customer feature portrayal from many dimensionalities. The aim of doing these things is to analysis your customer features accurately.

Among the business management modes, UFO is the most famous. U represents for user experience; F is freemium; and O is precise operation. 

Depend on the big data, we can make more precise operation monitoring, personalized recommendation, marketing effect estimation. More specifically:

1. Categorize the users according to the big data. Based on big data it will be able to better segment the users, so that marketers can categorize customers more precisely, sense the interests and spending habits of user groups, design more targeted events and promotions.

2. Evaluate marketing effects of different channels. It’s hardly to assess the true effect of a promotion channel merely according to some superficial indicators, like click-rate. If you can track users behavior and collect data through different channels, you may find the quality of channels by comparison. 

3. User profiling according to the big data. Design personalized recommendation algorithm according to data of user behavior and preference, maximize the efficiency of marketing resource usage and promotion effect.