How to do case analysis: Analysis of hot topics on the Internet in the past 10 days
Case analysis is an important method of research and learning. By analyzing real events or phenomena, experience can be refined and rules summarized. This article will combine the hot topics on the Internet in the past 10 days to show how to systematically conduct case analysis and provide structured data for reference.
1. Case selection: summary of hot topic data
The following are the five most popular topics and related data on the Internet in the past 10 days (as of October 2023):
| Ranking | topic name | keywords | Platform popularity index | Number of discussions (10,000) |
|---|---|---|---|---|
| 1 | OpenAI releases DALL-E 3 | AI painting, multi-modal model | 92.5 | 350 |
| 2 | Huawei Mate60 Pro is on sale | Domestic chips, satellite communications | 88.3 | 280 |
| 3 | Hangzhou Asian Games e-sports competition | E-Sports, Medal List | 85.7 | 210 |
| 4 | "Oppenheimer" scheduled for release in Mainland China | Nolan movies, nuclear physics | 79.2 | 180 |
| 5 | Luckin Moutai co-branded coffee | Cross-border marketing, sauce latte | 76.8 | 150 |
2. Four-step method of case analysis
1.Background analysis: Taking "Luckin Moutai Co-branded Coffee" as an example, it is necessary to sort out basic information such as the corporate backgrounds of both parties, differences in market positioning (liquor vs. FMCG), and industry competition pattern.
2.Breakdown of key elements: Compare core elements through tables:
| Feature type | Luckin | Moutai |
|---|---|---|
| target users | Urban youth aged 20-35 | Business people over 35 years old |
| Product unit price | 15-30 yuan | 1,000 yuan+ |
| marketing channels | social media fission | Traditional channels + luxury goods route |
3.Data validation: Collect key indicator changes:
| indicator | Before the event | After the event (3 days) | growth rate |
|---|---|---|---|
| Weibo topic reading volume | 12 million | 680 million | 4567% |
| Single day sales | 38 million yuan | 140 million yuan | 268% |
4.Conclusion output: Refining reusable methodologies, such as: - the "Law of Contrast" for cross-border linkage - the "three-stage rhythm" of social media momentum building (preheating - explosion - long tail) - the "scarcity design" of limited marketing
3. Common analysis tools
It is recommended to use the following tools to assist in case studies:
| Tool type | Represent tool | Applicable scenarios |
|---|---|---|
| Heat monitoring | Baidu Index, WeChat Index | trend following |
| Public opinion analysis | Zhiwei, Xinbang | Emotional tendency judgment |
| data visualization | Tableau, PowerBI | Multidimensional data presentation |
4. Guide to avoid pitfalls
1.Avoid survivor bias: It is necessary not only to analyze successful cases (such as sauce latte), but also to study failed co-branding cases in the same period (such as the co-branding of some Internet celebrity brands)
2.Distinguish between correlation and causation: Luckin’s stock price rise cannot simply be attributed to a single marketing campaign
3.dynamic perspective: Pay attention to the subsequent development of hot topics (such as DALL-E 3 practical application feedback)
Conclusion
Effective case analysis requiresData support + logical deduction + practical verificationTrinity. By systematically dismantling recent hot topics, we can cultivate structured thinking and grasp the essential laws in the era of information explosion. It is recommended to select 1-2 hot cases every week for complete analysis and training to gradually improve business insights.
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