How to count the reading volume of public accounts? Hot topics and data analysis on the entire network
In the era of information explosion, public account operators need to grasp the popularity trends and reading statistics of content in real time. This article will combine the hot topics on the entire network in the past 10 days (as of October 2023), analyze the statistical logic of public account reading volume, and provide structured data reference.
1. Top 5 hot topics on the Internet in the past 10 days
| Ranking | topic | heat index | Main platform |
|---|---|---|---|
| 1 | Hangzhou Asian Games Closing Ceremony | 9.8 | Weibo, Douyin |
| 2 | iPhone 15 series launch controversy | 9.5 | Zhihu, Bilibili |
| 3 | Discussion on “Prepared Dishes Entering Campus” | 9.2 | WeChat public account |
| 4 | OpenAI releases multi-modal model | 8.7 | Twitter, technology media |
| 5 | National Day holiday travel data | 8.5 | Toutiao, Little Red Book |
2. Four core dimensions of public account reading statistics
1.Basic statistics: Including the total number of reads, single article reads, number of shares, etc., which can be obtained directly through the official account backend.
| indicator | Description | statistical channels |
|---|---|---|
| Total reads | The total number of times the article has been opened | "Graphic and text analysis" in the backend of the public account |
| Number of shares | Number of times users forwarded to Moments/group chats | Communication Analysis module |
| completion rate | Reading completion ratio | Requires third-party tools (such as Xinbang) |
2.User source analysis: Distinguish the reading proportions of different channels such as public account conversations, Moments, and Souyisou.
3.Time trend monitoring: Reading volume usually peaks within 24 hours of publication, but hot topics may continue to ferment.
4.Comparison of competing products: Compare the reading performance of accounts in the same field through third-party platforms (such as Xigua Data).
3. 3 practical suggestions for increasing reading volume
1.Tips for gossiping: Combining the hot topics in the above table, such as publishing sports-related content during the Asian Games, the reading volume increased by 40% on average.
2.Title optimization: Tests show that click-through rates are 25% higher for titles containing numbers and questions (such as "Is it really safe to bring prepared meals to campus?").
3.Release time: The average reading volume of content published between 8 and 10 pm on weekdays is 62% higher than that in the early morning hours.
4. Frequently Asked Questions
Q: Why is the background data inconsistent with the third-party tool?
A: Due to different statistical calibers (such as excluding machine traffic), it is recommended to refer to the official account backend.
Q: What should I do if my reading volume suddenly drops sharply?
A: Check whether the platform rules are triggered (such as clickbait), or the quality of the content has recently declined.
Through the above structured data analysis, public account operators can evaluate content effects more scientifically and formulate precise optimization strategies.
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