Research on Marketing and Innovation Strategies in China's Gacha Game Industry--Taking MiHoYo Company as an Example
Bibliographic record
Abstract
With the rapid development of technology and the popularization of the Internet in China, the mobile gaming industry has become a popular segment of the Internet sector in China. As a part of the mobile game industry, gacha games have been developing rapidly in recent years. As one of the world's leading developers of gacha games, MiHoYo, with its unique marketing strategy and innovation ability, has made remarkable achievements in the highly competitive game market. This report analyzes the success path of MiHoYo from the dimensions of marketing and innovation. The results show that MiHoYo's differentiated marketing strategy has effectively attracted target user groups. This success is due to refined positioning and innovative promotional methods. MiHoYo’s emotional resonance marketing has also strengthened user stickiness and brand loyalty. It achieves this by fostering emotional connections with users. Regarding innovation, MiHoYo has diversified its revenue sources through a new business model. Continuous product iteration and optimization have improved the user experience and consolidated MiHoYo’s market position.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".