Consumers' post-use Evaluation Research Solutions
Consumers' post-use Evaluation Research Solutions

Problems Faced by Enterprises

The overall survey planning is unreasonable

Small and medium-sized enterprises often do not pay attention to market research, so they often have insufficient preliminary planning and conduct temporary research. This can easily cause problems such as unclear purpose, inconsistent survey objects and target populations, changeable survey content, and confusion in answering, resulting in poor survey results.

The survey questionnaire design is not professional

An excellent questionnaire can collect data with small errors. How to design excellent questionnaires troubles many companies. Due to lack of professional knowledge, it is easy to cause logical confusion, difficult understanding, ambiguity or not comprehensive options, and lack of sufficient content to meet the purpose of the survey.

Long data collection time

Due to the lack of research experience in many large and medium-sized companies, the entire process from questionnaire design to recruitment of target respondents to final data analysis and conclusion extraction takes too long. As a result, the research project loses timeliness and loses its guiding role in the business.

Data collection is costly

The larger the sample size, the better the representativeness and the smaller the survey error. Many companies have no way to get in touch with existing or potential target consumers. Not only do they have low response rate and low efficiency, but they are also prone to complaints. Moreover, it will cost too much to recover a sufficient sample size.

Through professional consumer insight analysis to help companies succeed in today's on-demand global economy

- KuRunData has a million-level active membership panel that can be used on-demand across the country, which can help customers quickly and accurately listen to the voice of target consumers and make the most correct choice.

- We also have a professional research and analysis team, an executive team, and provide enterprise-level support services to help enterprises complete consumer insights.

Help iterative planning by describing the core advantages and disadvantages

- Create a two-dimensional coordinate map according to consumers' attention and preference for certain product features.

- Divide each feature into bright spot area, defect area, bright spot area with divergence, and defect area with divergence.

- Improve the consumer experience by achieving better product iterations.


Help iterative planning by describing the core advantages and disadvantages

- Create a two-dimensional coordinate map according to consumers' attention and preference for certain product features.

- Divide each feature into bright spot area, defect area, bright spot area with divergence, and defect area with divergence.

- Improve the consumer experience by achieving better product iterations.


Through the ACSI model to fully grasp and manage consumer satisfaction.

- consumer satisfaction is related to the three variables of product quality, product value, and expectations.

- Each structural variable in the ACSI model cannot be directly measured and is called a latent variable. Therefore, they all need to be obtained by a weighted summation of a set of related observed variables, that is, an manifest variable. The significant variables are obtained by collecting data through actual consumer research.

- Differentiating and comparing across companies, products, industries, and time periods can be realized, guiding consumers to develop user groups to a greater extent, and establishing a loyal consumer network. 




Use the KANO model to quickly understand the priority of consumers' needs for new features

- Dividing different needs into foun research and development work in all walks of lifer types: Expectation, Charm, Essential, and Undifferentiated.

- Targeted analysis can effectively improve the demand for consumer satisfaction, so as to find room for product growth.

- Suitable for product function planning, concept creativity, product iteratio

Use the KANO model to quickly understand the priority of consumers' needs for new features

- Dividing different needs into foun research and development work in all walks of lifer types: Expectation, Charm, Essential, and Undifferentiated.

- Targeted analysis can effectively improve the demand for consumer satisfaction, so as to find room for product growth.

- Suitable for product function planning, concept creativity, product iteratio

Use MaxDiff model to quickly make product attribute combination selection

- Use the least number of comparisons to obtain consumer preferences for most product attributes.

- The number of comparisons between each product attribute is the same, ensuring fairness and science.

-  "Favorite" and "Least Like" counts, intuitively select attribute combinations.


Quickly evaluate consumer loyalty through the NPS net recommendation value model

- Compared with other measures of loyalty (satisfaction, repurchase rate, retention rate), there is a very strong correlation between NPS score and corporate profit growth.

- We help companies quickly and concisely measure consumer feelings and attitudes, intuitively see the gap with competitors, and establish more scientific marketing goals.

Quickly evaluate consumer loyalty through the NPS net recommendation value model

- Compared with other measures of loyalty (satisfaction, repurchase rate, retention rate), there is a very strong correlation between NPS score and corporate profit growth.

- We help companies quickly and concisely measure consumer feelings and attitudes, intuitively see the gap with competitors, and establish more scientific marketing goals.

Quickly evaluate consumer loyalty through the NPS net recommendation value model(缺)

- Compared with other measures of loyalty (satisfaction, repurchase rate, retention rate), there is a very strong correlation between NPS score and corporate profit growth

- We help companies quickly and concisely measure consumer feelings and attitudes, intuitively see the gap with competitors, and establish more scientific marketing goals

Quickly make pricing decisions through the PSM price sensitivity model

- Combining research data, market data and model calculation capabilities to help consumers find the most correct market competitors.

- Multi-channel, multi-dimensional, multi-label, to meet consumers' various competing product data analysis needs.

Quickly make pricing decisions through the PSM price sensitivity model

- Combining research data, market data and model calculation capabilities to help consumers find the most correct market competitors.

- Multi-channel, multi-dimensional, multi-label, to meet consumers' various competing product data analysis needs.

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