Big Data Change entity marketing dish a key point

From the first launch of products and services, marketers use data in some form to better understand their customers and provide them with more targeted products and services. Now, with huge volumes of data pouring in from multiple channels, marketers are facing huge "big data" resources, and they need to find ways to get operational marketing strategies from them. Here's a look at how big data can be transformed into a permanent change in marketing 〿/p>

1. Improve personalization: In the glorious times of large department stores, the goal was to provide intimate service to every customer to enhance their competitiveness. To provide customers with more personalized services can improve sales, access to customer loyalty and increase Word-of-mouth advertising. Today, marketers in large and small businesses can leverage large data to more effectively understand customer needs, more targeted, more personalized, and more relevant than ever before. One good example is Amazon, which uses data collected from the wish list, browsing history, and purchase history to provide more personalized product advice to customers through analytical techniques. Large data provides marketers with a good plan to create more personalized strategies 〿/p>

2. Data-driven Marketing: Big data is no longer considered an industry hype term, and now big data has ushered in the era of data-driven marketing. As raw data continues to accumulate, large data platforms, such as Hadoop, have emerged to help marketers better utilize the data. Today, businesses can store, manage, and analyze large amounts of data in real time, allowing marketers to better understand customers rather than through demographic or sample data, but to analyze individuals. With this information, marketers can understand what customers really need and how best to meet these needs to enhance the customer experience 〿/p>

3. Predictive analysis: Have you ever sat behind a wagon and faced a rear seat? I hope there is no such seat now. These seats allow passengers to know where they have been, but give no clues as to where they are going. For data, marketers have been sitting facing the rear seat. Their only views are previous Web Access records, clicks, open rates, downloads, and so on. Only past data can be used to predict future customer behavior, and not long ago, there was not enough marketing data to accurately predict future customer behavior. Now, through external systems such as web and social media, and internal systems such as CRM and purchase history, marketers are enough to analyze the customer's current and future buying behavior, which can drive existing products and services to sell and bring updates and better products and services 〿/p>

4. Virtual activity capabilities: Large data intelligence, coupled with human creativity, can trigger bold ideas and advocacy strategies. At the same time, because of large data simulations, these bold ideas can be tested in virtual markets, eliminating the risk and cost associated with testing in the market. By using real-world data, even the strangest marketing ideas can be tested, challenged, and tested until these marketing ideas become actual activities-and their effectiveness can then be measured by the marketing analysis of 〿/p>

5. Not just for large enterprises: now technology, big data is not just for large enterprises. Even small businesses can derive great advantage from storing, managing, analyzing, and visualizing data, and require very limited costs. In addition, now dish a href= "http://news.pedaily.cn/industry/software/" target=_blank> software allows enterprises to deploy large data analysis to achieve impact targets without the need to hire a number of good data scientists. Small businesses can use the same tools and technologies as large enterprises to improve their marketing strategies to achieve fair competition with large enterprises. Obviously, big data has permanently changed the rules of the marketing game 〿/p>