1. Introduction
In recent years, designer toys have gradually moved from a minority collectible to mainstream consumption and have become an important vehicle for expressing identity and emotion. The "blind box economy" model, represented by Pop Mart, has aroused the "sense of surprise" and "desire for collection" of young consumers through random selection mechanisms, IP co-naming and scarcity strategy [1]. Under this consumption mechanism, the blind box is not only a commodity but also a cultural experience and an interactive ritual.
According to industry reports, China's trendy toy market has grown at an average annual rate of more than 30 percent since 2017 to reach about 47.8 billion yuan in 2022 and is expected to exceed 100 billion yuan by 2026 [2]. This shows that blind-box and trendy consumption have become trend-carriers of cultural consumption upgrading and social ritualized consumption. In this context, Pop Mart stands out as an industry leader with its efficient IP operations and channel placements.
The marketing practices of Pop Mart have been the subject of several in-depth studies. For example, relevant studies explore the driving forces behind the temptation of blind boxes from the perspective of consumer psychology, pointing out that uncertainty meets consumers' expectations of scarcity and rarity [3]. Scholars use the “Political, Economic, Social, Technological (PEST) + Segmenting, Targeting, Positioning (STP)” model to analyze the market strategy of Pop Mart and believe that its success lies in the accurate positioning of young consumer groups and differentiated IP operations [4]. Other studies have analyzed the marketing mechanism and promotion means of Pop Mart and have pointed out that its interaction and community-building ability significantly enhanced consumer stickiness [5]. Related research further emphasizes the comprehensive advantages of Pop Mart in IP strategic narrative, online and offline integration ecological construction and globalization expansion, although Pop Mart also faces the risk of loyalty decline and homogenization [6].
The cultural background of Chinese consumers is another key to understanding the popularity of trendy toys. In the new era, consumers prefer to express their self-identity and community belonging through consumer behavior. Pop Mart's blind-box narrative and social media communication mechanisms just meet this psychological need [7]. Similarly, in the aspect of digital narrative marketing, storytelling marketing can effectively enhance brand image and consumer trust, thus affecting purchase intention [8]. Meanwhile, social media platforms, especially short-video platforms and community platforms like Douyin and Xiao Hongshu, have become the new battleground for trendy marketing.
2. Research design
Data collection employed a questionnaire survey targeting users aged 15–40 with experience browsing or purchasing collectible toys, and exposure to Pop Mart content on Douyin or Xiaohongshu. The survey was distributed via an online platform, yielding 501 valid responses to ensure sufficient representativeness. Subsequently, chi-square tests were conducted to determine whether different marketing content types exerted a significant influence on consumer purchase intent. Finally, regression analysis was used to determine which type of marketing content had the most significant effect on consumer purchase intentions.
2.1. Variable explanation
The independent variable used in this paper is the marketing content type, which refers to the different forms that POP Mart releases on Douyin and Xiaohongshu platforms to engage consumers and transmit brand and product information. Measurement categories include groups: the new product group, the IP story group, the interactive unpacking group, and the control group. Among them, the new product group takes product information transmission as the core, and the content focuses on the design concept, role image, hidden figure probability, release time and other key information of the new series of blind boxes, often in the form of 3D product display, detail close-ups, and so on, so as to meet consumers' cognitive needs for new products. The IP story group revolves around POP Mart's own IP (such as Molly, Labubu) or joint IP. It deepens the emotional value of the IP through animated shorts, graphic narratives, and character interviews to enhance consumers' sense of identity and loyalty to the IP. The interactive unpacking group takes "Blind Box unpacking" as the core scene, including Key Opinion Leader (KOL) evaluation, fan challenge, online lottery and other interactive forms, highlighting the randomness and social properties of the blind box, and stimulating consumers' sense of participation and desire for imitation. The control group selects conventional content that does not include the above three types of characteristics (such as brand public welfare publicity, store activity notification), which is used to eliminate the interference of non-target variables on purchase intention and to clarify the independent influence of marketing content types.
The dependent variable used in this paper is consumers' willingness to buy, which refers to the subjective likelihood and propensity of consumers to buy POP Mart products after being exposed to the marketing content. This reflects the initial interest of consumers upon receiving the information and reflects the arousal effect of the targeted marketing content, is the starting point for purchasing decisions, and further reflects specific brand preference. This dimension measures the strengthening effect of marketing content on the perception of brand differentiation and reflects consumers' brand preference among similar products. Finally, it extends to future purchase expectations, reflecting the influence of marketing content on long-term consumer behavior, and reflecting consumers' trust in the brand's continued innovation and consumer stickiness. Together, these three dimensions constitute a complete evaluation system for purchase intent, which forms a logical closed loop from immediate interest to long-term loyalty and can adequately capture the path of influence of marketing content on consumers' decision-making [9].
2.2. Research hypotheses
In the social media marketing environment, brand content is considered to be an important factor driving consumer attitudes and behavior. According to the Stimulus-Organism-Response Model (S-O-R Model), external stimuli (such as brand marketing content) will trigger consumers' cognitive and emotional responses, which in turn affect their behavior (such as purchase intention). Empirical studies have shown that social media marketing can effectively enhance consumers' willingness to buy by enhancing brand image, consumer trust and participation [10-12]. At the same time, the type of marketing content is an important factor affecting consumers' psychological reaction and transformation, and different forms of content will bring different emotional experiences and participation effects [11]. Therefore, it can be inferred that different types of marketing content (new spoilers, IP stories, interactive challenges) on social platforms will have a positive effect on consumers' willingness to buy. As a result, it is proposed that Hypothesis
H1: POP Mart's new spoiler content, IP stories and interactive challenge marketing content on social platforms all have a significant impact on consumers' willingness to buy.
In addition, previous studies have found that emotional and narrative-oriented content can enhance consumers' emotional resonance and brand identity more than pure informational content or single interactive content. For example, narrative and immersive social media content can significantly improve consumer trust and brand attitudes, thereby increasing willingness to buy. In contrast, although the new spoiler content can provide information value, its role in emotional connection is limited; interactive challenge content can promote participation, but its effect on purchase transformation is often restricted by individual interest and motivation [12].Consequently, it can be inferred that among these three content types, IP story-based marketing content exerts the most pronounced effect on purchase intent. This leads to the following hypothesis:
Hypothesis H2: The impact of the three types of marketing content on consumer purchase intention varies, with IP story-based content exerting a greater influence than new product previews and interactive challenge content.
3. Research findings
3.1. Chi-Square test
|
Group |
1 |
2 |
3 |
4 |
5 |
Total |
|
IP Story Group |
40 |
19 |
34 |
34 |
14 |
141 |
|
Unboxing Interaction |
27 |
32 |
17 |
30 |
34 |
140 |
|
Control Group |
18 |
17 |
14 |
15 |
16 |
80 |
|
New Product Group |
24 |
27 |
26 |
34 |
29 |
140 |
|
Total |
109 |
95 |
91 |
113 |
93 |
501 |
As shown in Table 1, the chi-square test results for purchasing intent regarding "willingness to consider purchasing related products" across different groups yielded a Pearson chi-square value of 23.2784 (degrees of freedom = 12) and a p-value of 0.025. Since 0.025 is less than the significance level of 0.05, this indicates a significant influence of different groups on "willingness to consider purchasing related products".
|
Group |
1 |
2 |
3 |
4 |
5 |
Total |
|
IP Story Group |
34 |
30 |
32 |
21 |
27 |
141 |
|
Unboxing Interaction |
15 |
19 |
44 |
26 |
36 |
140 |
|
Control Group |
15 |
14 |
19 |
14 |
18 |
80 |
|
New Product Group |
41 |
28 |
19 |
24 |
28 |
140 |
|
Total |
102 |
91 |
114 |
85 |
109 |
501 |
As shown in Table 2, the chi-square test results for purchasing intent regarding "prioritising Pop Mart when buying trendy toys" across different groups yielded a Pearson chi-square value of 26.9240 (degrees of freedom = 12) and a p-value of 0.008. Since 0.008 is less than the significance level of 0.05, this indicates a significant influence of different groups on the purchasing intent to "prioritise Pop Mart when buying trendy toys".
|
Group |
1 |
2 |
3 |
4 |
5 |
Total |
|
IP Story Group |
28 |
30 |
27 |
33 |
23 |
141 |
|
Unboxing Interaction |
33 |
34 |
28 |
24 |
21 |
140 |
|
Control Group |
22 |
13 |
13 |
13 |
19 |
80 |
|
New Product Group |
23 |
16 |
31 |
30 |
40 |
140 |
|
Total |
106 |
93 |
99 |
100 |
103 |
501 |
As shown in Table 3, the chi-squared test results for purchasing intent regarding "very likely to purchase future new products" across different groups yielded a Pearson chi-squared value of 21.7363 (degrees of freedom = 12) and a p-value of 0.041. Since 0.041 is less than the significance level of 0.05, this indicates a significant influence of different groups on the likelihood of purchasing future products. The three chi-square test results collectively demonstrate that different marketing content types exert a significant influence on purchase intent.
3.2. Regression analysis
|
buy_future |
Coefficient |
Std. err. |
t |
P > |t| |
[95% confidence interval] |
|
|
group_dummy1 |
-0.3925025 |
0.1695343 |
-2.32 |
0.021 |
-0.7255948 |
-0.0594103 |
|
group_dummy2 |
-0.5857143 |
0.1698357 |
-3.45 |
0.001 |
-0.9193987 |
-0.2520299 |
|
group_dummy3 |
-0.4178571 |
0.19915 |
-2.1 |
0.036 |
-0.8091368 |
-0.0265775 |
|
_cons |
3.342857 |
0.120092 |
27.84 |
0 |
3.106907 |
3.578808 |
As shown in Table 4, in the regression analysis for "high likelihood of purchasing future new products (buy_future)", the dummy variables for the new product group (group_dummy1), IP story group (group_dummy2), and and the unboxing interaction group (group_dummy3) all yielded P-values (0.021, 0.001, 0.036) below 0.05. This indicates that, compared to the control group (group_dummy4, omitted here due to multicollinearity), the new product group, IP story group, and unboxing interaction group all exerted a significant influence on consumers' willingness to purchase future new products. Among these, the IP Story group (group_dummy2) exhibited the smallest P-value of 0.001, indicating the most pronounced effect on consumers' intention to purchase future products.
|
buy_consider |
Coefficient |
Std. err |
t |
P > |t| |
[95% confidence interval] |
|
|
group_dummy1 |
-0.0357143 |
0.169773 |
-0.21 |
0.833 |
-0.3692756 |
0.297847 |
|
group_dummy2 |
-0.3838399 |
0.1694717 |
-2.26 |
0.024 |
-0.7168093 |
-0.0508706 |
|
group_dummy3 |
-0.1964286 |
0.1990765 |
-0.99 |
0.324 |
-0.5875639 |
0.1947067 |
|
_cons |
3.121429 |
0.1200477 |
26 |
0 |
2.885565 |
3.357292 |
As shown in Table 5, in the regression analysis for "willingness to consider purchasing related products (buy_consider)", the p-value for the IP story group (group_dummy2) is 0.024 (less than 0.05). Therefore, the IP story group (group_dummy2) has the most significant impact on "willingness to consider purchasing related products".
|
buy_priority |
Coefficient |
Std. err. |
t |
P > |t| |
[95% confidence interval] |
|
|
group_dummy1 |
0.0937183 |
0.1687242 |
0.56 |
0.579 |
-0.2377824 |
0.4252191 |
|
group_dummy2 |
0.5642857 |
0.1690242 |
3.34 |
0.001 |
0.2321957 |
0.8963758 |
|
group_dummy3 |
0.2892857 |
0.1981984 |
1.46 |
0.145 |
-0.1001244 |
0.6786958 |
|
_cons |
2.785714 |
0.1195182 |
23.31 |
0 |
2.550891 |
3.020537 |
As shown in Table 6, in the regression analysis for "buying bubble toys with priority selection for Pop Mart (buy_priority)", the regression coefficient for the IP story group (group_dummy2) is 0.5643, with a P-value of 0.001 (less than 0.05). This indicates that, compared to the baseline group, the IP Story group exerts a significant positive influence on consumers' willingness to "prioritise selecting Pop Mart"; consequently, relative to the New Product group and the Unboxing Interaction group, the IP Story group exerts the most pronounced effect on "prioritising selecting Pop Mart when purchasing trendy toys".
In summary, IP story-based marketing content exerts the most pronounced influence on consumer purchase intent. Social e-commerce platforms must precisely grasp the impact logic of IP story content, strengthening its creation and dissemination—for instance, by producing serialised IP story shorts and fostering deep, contextualised collaborations between IP characters and products. With the help of emotional connections, this study can effectively deepen consumers' brand preferences; when brands/marketers are promoting new products in the future and encouraging consumers to "consider buying related products", to avoid the disconnection between IP stories and the core values of products, it is necessary to naturally integrate the selling points such as product design innovation and quality advantages into IP narration, so that the story not only conveys emotional attraction, but also clearly shows the value of the product itself that is worthy of attention. In the face of marketing content, if consumers are exposed to the marketing of IP story-related goods, they can more rationally strip away the emotional element of the story and focus on the innovation of the product itself to judge whether it is worthy of attention; when facing the marketing of related products in the IP story category, they should actively tap into the value of the product itself and make purchasing choices based on their own real needs, rather than just because of the passion or feelings of the story.
4. Conclusion
This study employed chi-square tests and regression analysis to examine the impact of IP narrative-based, interactive challenge-based, and new product teaser-based marketing content by Pop Mart on Douyin and Xiaohongshu platforms, specifically on consumer purchase intent (measured across three dimensions: "considering purchasing related products," "prioritising Pop Mart purchases," and "purchasing future new products").
Specifically, the chi-square test results indicate that the p-values for all three dimensions of purchase intent are below 0.05 across all three content types. This confirms that Pop Mart's new product preview, IP storytelling, and interactive challenge marketing content on Douyin and Xiaohongshu significantly influence consumer purchase intent. In regression analysis, the p-value for the IP story group was below 0.05 across all three regression analyses, making it the most significant indicator among all independent variables. This indicates that the IP story group exerts the most pronounced influence on consumers' future purchase intentions.
Furthermore, Hypothesis 1 holds true: Bubble Mart's marketing content across Douyin and Xiaohongshu—specifically new product teasers, IP storytelling, and interactive challenges—significantly influences consumer purchase intent. Hypothesis 2 is also confirmed: IP storytelling content exerts a greater impact on purchase intent than interactive challenges. This research provides empirical guidance for Pop Mart to refine marketing content and enhance consumer purchase intent. However, limitations exist, with potential future extensions including expanding sample size and platform dimensions to deepen analysis of marketing content's effect mechanisms.
Authors contribution
All the authors contributed equally and their names were listed in alphabetical order.
References
[1]. Chen, S. (2024) The Psychological Analysis of the Blind Box Craze in the Chinese Market: A Case Study of POP MART. Journal of Education, Humanities and Social Sciences, 43, 128–133.
[2]. Zhu, X. (2023) About Blind Box Economy – Analysis of the Business Environment and Marketing Strategies of Pop Mart. Advances in Computer Science Research (Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)), 803–816.
[3]. Lin, Z. (2023) Exploring Pop Mart Marketing Mechanics and Related Effects. Highlights in Business, Economics and Management, 7, 415–420.
[4]. Ding, K. (2025) Analysis on the Marketing Strategies of the Pop Mart. Highlights in Business, Economics and Management, 60, 342–348.
[5]. Wang, Z. (2023) A Case Study of POP MART Marketing Strategy. Advances in Economics, Management and Political Sciences, 20, 32–38.
[6]. Guo, J. and Li, X. (2023) Social identity and Gen Z’s consumption of designer toys. Journal of Business Research, 156, 113473.
[7]. Kaur, J., Saini, S., Behl, A. and Poonia, A. (2024) Impact of Digital Storytelling on Improving Brand Image Among Consumers. Journal of Promotion Management, 30(1), 1–29.
[8]. Luo, C., Hasan, N.A.M., Ahmad, A.M.Z.B. and Lei, G. (2025) Influence of short video content on consumers purchase intentions on social media platforms with trust as a mediator. Scientific Reports, 15, 16605.
[9]. Sokolova, K. and Kefi, H. (2020) Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of Retailing and Consumer Services, 53, 101742.
[10]. Ali, I. and Naushad, M. (2023) Examining the influence of social media marketing on purchase intention: The mediating role of brand image. Innovative Marketing, 19(4), 145–157.
[11]. Qiao, L. and Sun, P.J. (2024) The dynamics of social media marketing: Unravelling the impact on customer purchase intentions through engagement and trust. Journal of Distribution Science, 22(3), 21–31.
[12]. Shien, O.Y., Yan, N.L. and Huei, N.S. (2023) The impact of social media marketing on young consumers’ purchase intention in Malaysia: The mediating role of consumer engagement. International Journal of Academic Research in Business and Social Sciences, 13(1), 1540–1570.
Cite this article
Ouyang,Y.;Xu,M. (2025). The Influence of Social Media Marketing on Consumers' Purchase Intention. Advances in Economics, Management and Political Sciences,229,155-161.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Chen, S. (2024) The Psychological Analysis of the Blind Box Craze in the Chinese Market: A Case Study of POP MART. Journal of Education, Humanities and Social Sciences, 43, 128–133.
[2]. Zhu, X. (2023) About Blind Box Economy – Analysis of the Business Environment and Marketing Strategies of Pop Mart. Advances in Computer Science Research (Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)), 803–816.
[3]. Lin, Z. (2023) Exploring Pop Mart Marketing Mechanics and Related Effects. Highlights in Business, Economics and Management, 7, 415–420.
[4]. Ding, K. (2025) Analysis on the Marketing Strategies of the Pop Mart. Highlights in Business, Economics and Management, 60, 342–348.
[5]. Wang, Z. (2023) A Case Study of POP MART Marketing Strategy. Advances in Economics, Management and Political Sciences, 20, 32–38.
[6]. Guo, J. and Li, X. (2023) Social identity and Gen Z’s consumption of designer toys. Journal of Business Research, 156, 113473.
[7]. Kaur, J., Saini, S., Behl, A. and Poonia, A. (2024) Impact of Digital Storytelling on Improving Brand Image Among Consumers. Journal of Promotion Management, 30(1), 1–29.
[8]. Luo, C., Hasan, N.A.M., Ahmad, A.M.Z.B. and Lei, G. (2025) Influence of short video content on consumers purchase intentions on social media platforms with trust as a mediator. Scientific Reports, 15, 16605.
[9]. Sokolova, K. and Kefi, H. (2020) Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of Retailing and Consumer Services, 53, 101742.
[10]. Ali, I. and Naushad, M. (2023) Examining the influence of social media marketing on purchase intention: The mediating role of brand image. Innovative Marketing, 19(4), 145–157.
[11]. Qiao, L. and Sun, P.J. (2024) The dynamics of social media marketing: Unravelling the impact on customer purchase intentions through engagement and trust. Journal of Distribution Science, 22(3), 21–31.
[12]. Shien, O.Y., Yan, N.L. and Huei, N.S. (2023) The impact of social media marketing on young consumers’ purchase intention in Malaysia: The mediating role of consumer engagement. International Journal of Academic Research in Business and Social Sciences, 13(1), 1540–1570.