In fact, many brands only focus on expert placement, but ignore the importance of placement review. In fact, in a sense, placement summary is more important than placement. Today I’m going to share how to do a good job in expert placement and a review summary of Xiaohongshu placement!
Many brands just ignore it after launching it. This is actually an irresponsible performance and a loophole in the data analysis of their own products.
In fact, a launch review is really important. In this way, it is not only a summary of the experience of the previous launch, but also a discovery of the advantages and disadvantages of the launch strategy, as well as an understanding of the target audience, thereby providing reference and reference for future launches.
You can also carefully analyze the review results to discover the shortcomings and problems in the expert's delivery, thereby further improving the expert's delivery results. Through learning and improvement, similar errors and problems can be avoided, and the amount of data and conversion income of the experts can be increased.
Even the launch review can promote team communication and collaboration and promote communication and collaboration among team members. By sharing and discussing review results, team members can better understand each other's work and experience, think and solve problems together, and improve the performance and efficiency of the entire team.
So now that we know why we need to put in a review, the next step is how to review it. Here we share a common method, which is to conduct data analysis.
1. Analysis of delivery results
You can analyze indicators such as the fan conversion rate, attention rate, and activity participation rate of KOC experts. Compare the performance of different experts, find the best one, and summarize its characteristics and successful experiences.
2. User insight analysis
Through the analysis of user data, we can understand consumers' purchasing preferences, hobbies, consumption habits, etc. Based on user insights, conduct personalized creation and delivery to improve user engagement and conversion rates. For example, if you find that users are more interested in products in a specific field, you can choose experts in the corresponding field to collaborate to obtain better results.
3. Content creation analysis
Conducting content creation analysis is a critical step in placing reviews. Through data analysis, find out which types of content users respond more positively to, such as shopping guides, product reviews, usage experiences, etc. Combined with user insights, we can select content that suits user tastes and pay more attention to these directions in subsequent creations.
4. Delivery conversion rate analysis
Paying attention to conversion rate is also very important. By analyzing the conversion rate, you can understand the sales situation, sales volume, sales channels and other information of the product during the launch period.
Combining placement and sales data, analyze the relationship between placement costs and sales, evaluate the value and return of placement, and continue to practice and summarize this process, only then can we make progress day by day, and the results will not be wasted.
The above is the sharing about "How to do a good job in expert placement, Xiaohongshu placement review summary", I hope it will be helpful to everyone.