Using large data to realize intelligent marketing

As a market http://www.aliyun.com/zixun/aggregation/38848.html "> Marketer, a lot of fashionable words and jargon about brand quality and standard are undoubtedly equivalent to mastering a" cutting-edge technology ", Be able to help yourself get more contracts. But the bottom line is that you have to build a strategy that helps your company. While modern technology may make it cheaper to initiate marketing campaigns, it also leads to confusion and fatigue in customer perceptions. In recent years, the "brand recall" effect of such campaigns is declining and less than once.

Now we are surrounded by a lot of confusing data and need to sort it out. For data scientists, this is a great opportunity to show Big data [note] in the field of marketing. How does big data analysis bring a smarter way to your product marketing?

Personalized：

Providing personalized information to your potential customers is key to successful marketing campaigns. It is impossible to provide personalized information to a large potential customer base without the help of large data. For example, Avis Budget, a leading car rental company, has about 40 million customers each year. Car Rental is a very competitive field, there is little difference between each company. But through large data analysis, Avis budget can subdivide customers according to their trading channels, selected products and customer lifetime values, and then provide them with personalized solutions.

Track the performance of marketing channels:

Did you know that Google tested 41 different shades of blue before it finally decided on the button color? When you have the data, all the challenges can be solved using data. These are not just online things. When marketers changed from two to three, do you adjust the booth? How much has the customer contract increased by moving the meeting application or the extra banner on the booth? A comparison of each of the two scenarios can help you significantly improve system efficiency and optimize the distribution of marketing funds.

Behavioral Prediction:

The most impressive thing for a marketer might be to predict the behavior of the customer. Have you noticed that Amazon after each product has shown a "customer who buys the product also browses:" Area (+ micro-letter Attention Network World), and a list of products in this area. This may not be a direct example of large data, but it is already very close. Imagine: There is no intersection between the computer and the glasses. But if your big data analysis shows that customers who buy a new computer also buy a new pair of glasses, you can offer a more attractive set of packages for your customers. Customers may also be very happy because you provide them with exactly the packages they think of at the right time.

Intelligent Marketing is the best way to make the right decisions at the right time for the user. Large data can reduce human intervention, such as explanations and introductions, and provide a data-supported alternative. Now more and more companies have realized that this is the future trend of marketing.