A brief talk on user feedback and behavior research: How to find the consumer "truth" from the data

Consumer research has long been a new topic. Even in the highly developed digital today, from the digital marketing level, we have no shortage of user information and data. What is missing is a reliable method of analyzing and using these data.

Usually we think of some information data, complete user behavior research mainly contains a lot of content, the most basic includes user behavior research (quantitative information) and user feedback research (qualitative content).

User Behavior Research:

That is, backstage data analysis, understand this opinion produces behind the data performance, perhaps, the user's opinion is precisely the reason for the decline of a data indicator, this data and user opinion can be mutually validated, if the data can support this opinion, this is effective advice, and based on the impact of depth, urgency, to set priorities. There is also the back of the online test data collection. (Background data analysis, just a way to study user behavior)

User Feedback Research

Perhaps for this opinion, there will be more voices coming out, there are pros, there are objections, maybe they stand at different angles, representing different attributes, different stages of user groups. Therefore, a comprehensive study of this feedback, and if it is in a group, the active user's opinion, may affect the thought of the later respondents, and lead them to follow blindly, these also need to distinguish.

A new Thought in the context of

The rise of social media has brought marketers a lot of unprecedented information about consumers, user group monitoring data, these are valuable information, but the biggest problem is how to more reasonable and effective analysis of this large number of data, and the results of the data will affect the product development and marketing strategy for the implementation of the whole process, This is perhaps the most important challenge for marketers to face in the long future.

The following share of this article on this issue, in-depth understanding of the earliest engaged in social game design companies, through their current use of the solution tools and methods, to provide a large number of marketing owners for reference.

Source: Fast Company
Compiling: Viking wong@damndigital (original content, reproduced please indicate from Damndigital)

When it comes to questions about consumer insights, the rise of social networks can be said to be a double-edged sword: on the one hand, companies have access to a large number of data on the consumer population; On the other hand, companies have to explore new ways to sift through data to get more meaningful results. But for now, there is basically no universally accepted, more feasible and effective reference.

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Every Facebook fan page, Twitter personal page, and mobile apps are a way for companies to get customer data. But if you want to win more market share and attract more consumers, it is not enough for you to get simple numbers like clicks and conversion costs.

Start-ups and marketers who have been involved in the early stages of social game design (Social Game designs) may have begun research in this area and have some solutions. Social gaming companies such as Zynga can quickly decipher meaningful consumer insights from billions of of data events a day. They use customer data to make better plans to engage users, develop high-quality products, and improve user experience.

Dynamic analysis of user behaviors the rise of user behavior dynamics
As more and more data becomes available, the well-known brands are beginning to realize that they can use the behavior of the user to analyze and improve the dynamic way to reach the goal of marketing. "The flow of social networks can capture huge amounts of customer data, far beyond the internet ' pre-social age." "Corporate marketers can now get a deeper understanding of consumers by landing on the Kontagent platform, through the platform's information-mining and analytics tools," said Josh Williams, president and chief scientist of Kontagent, a company that provides user behavior analysis to social software developers. and optimize the marketing plan. To promote effective user access, user participation, relationship maintenance, sales behavior promotion and so on. We are trying to use the analysis of user behavior Dynamic Data to help enterprise customers to provide suggestions on how to build a better marketing system. ”

NoWait: An application developed by a Pittsburg start-up company to simplify the process of waiting in a restaurant. Instead of carrying bulky pagers within a 50-foot range, use nowait, and users simply provide their mobile numbers. When the restaurant is ready, the user will be notified. After the meal is completed, users will also receive a message asking if they are willing to accept discount information from the surrounding restaurant.

But it's just a game-changing program in the dining area. First, the restaurant knows who their audience is and how long they eat. Which customers are most frequent, which customers consume more, use the data, tailor the information to attract every customer who comes to the restaurant.

To understand the needs of consumers and stimulate the participation of consumers, to achieve this goal, the requirements are far beyond the traditional web analytics thinking and methods. Through analysis and monitoring of each contact point that the user touches, including the Internet, social web pages, mobile applications, and so on, then conduct a holistic, systematic analysis to optimize the end-user experience rather than the traditional focus analysis for an electric shock. Enterprises must transform their own thinking angle, pay attention to the user behavior system and dynamic analysis, from the comprehensive data to grasp more consumer behavior insights.

How do you detect and analyze Internet user behavior at present? What kind of problem have you encountered? Welcome Message Discussion