Analysis of the Competitive Strategies of UGC Model Platforms
Under the Electronic Commerce Marketing Boom: Taking Dianping
as an Example
Linxi Li
a
College of Business Administration, Capital University of Economics and Business,
Zhangjia Road, Huaxiang, Fengtai District, China
Keywords: The UGC Model, Competitive Strategy, Dianping Company.
Abstract: With the development of the internet, a large number of marketing platforms have flooded into market. There
are various advertisements that appear on various platforms. Therefore, the consumption experience and
consumers’ reviews are varies greatly and it affects other consumers’ judgement. Nowadays, lots of
consumers search information about true and highly reliable user reviews because they hope convenience,
high quality and inexpensive goods. They need goods which are high performance-price ratio. Based on this,
the subject of this paper is that taking Dianping as an example to analyze the competitive strategies of UGC
model platforms under the electronic commerce marketing boom. First of all, this paper researched the growth
progress of Dianping Company and the service group. Secondly, this paper researched the competitiveness of
Dianping and the competitiveness advantages of Dianping, which adopts the UGC model, compared with its
competitors. Finally, this paper researched the network effect related to UGC of Dianping and the innovative
strategy of Dianping base on AI. The purpose of this paper is to provide better user reviews for consumers
and to promote rational consumption among consumers by promoting the optimization and upgrading of the
UGC model platform.
1 INTRODUCTION
Electronic commerce is becoming one of the most
popular sales methods with the development of the
internet, and it provides richer consumption channels
for consumers. Due to the feature of electronic
commerce that transactions are completed online, lots
of consumers tend to refer to online information such
as user reviews and ratings. As a result, network
information and consumption evaluations provide
important consumption references for consumers.
However, due to the influence of merchants’
advertisements and even merchant competition, there
are more uneven quality of online information and
consumer reviews confusing the public and lead to
consumers’ inability to make rational judgments. This
will affect the experience of the consumers’
consumption and even lead to inability to consumer
rationally. Therefore, the UGC model platforms
a
https://orcid.org/0009-0005-5612-8032
which can provide genuine and highly reliable user
reviews for consumers is born at the right moment.
This paper researches the competitive strategy
analysis on UGC model platforms by taking Dianping
which use UGC model as an example. Dianping offer
lots of user reviews which avoid the negative impact
of business as much as possible by providing a
platform which can post the real consumption and
user evaluation by users (Xu and Liu,2022). At the
same time, The UGC model platform has formed a
strong community atmosphere by accumulating data
and this can help consumers get more real and
credible reviews. Experimental results show that the
evaluations generated by user-generated content
model can motivate consumers to make purchases
and has positive effect. (Gaoetal.,2024).
This paper aims to promote the optimization and
upgrading of the UGC model platform and then
promote rational consumption among consumers by
making a detailed introduction, comparing and
summarizing the advantages of Dianping.
Li, L.
Analysis of the Competitive Strategies of UGC Model Platforms Under the Electronic Commerce Marketing Boom: Taking Dianping as an Example.
DOI: 10.5220/0013848900004719
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 2nd International Conference on E-commerce and Modern Logistics (ICEML 2025), pages 533-537
ISBN: 978-989-758-775-7
Proceedings Copyright © 2025 by SCITEPRESS Science and Technology Publications, Lda.
533
2 ANALYSIS OF THE CURRENT
DEVELOPMENT STATUS OF
DIANPINGN
2.1 The Company Growth Process and
Service Groups of Dianping
2.1.1 The Company Growth Process of
Dianping
Dianping was established in Shanghai in April 2003.
Dianping and Meituan jointly issued a statement,
announcing a strategic cooperation and establishment
of a new company on 8th October 2015.The new
company will become a leading platform in the
online-to-offline field in China. The new company
still remain the originally personnel structure, brand
and independent operation of business. The new
company will conduct the Co-CEO strategy, which
means that the CEO of Meituan Xing Wang and the
CEO of Dianping Tao Zhang will serve as Co-CEO
and Co-chairman at the same time. Major decisions
will be made at the level of Co-CEO and the board of
directors. Moreover, the valuation of the new
company exceeds 15 billion dollars.
2.1.2 The Service Groups of Dianping
Dianping mainly serves consumers and merchants.
The majority of consumers are aged between 18-45,
with students and white-collar workers being the
majority. The consumers are those who pursue
convenience and good price, they not only care about
the practical value of commodities but also pay
attention to the superiority and self-satisfaction
brought by the added value of commodities.
2.2 The Competitiveness and
Competitive Advantages of
Dianping
2.2.1 The Competitiveness of Dianping
Dianping has a unique business mode because its
product services are comprehensive, detailed and
integrated, it has made multiple uses for one platform.
According to different cities and different keywords,
it provides different information, reflecting its precise
market positioning. According to the data which is
published on TOP10 monthly active APPs for living
and leisure in China in 2022 by iiMedia Ranking
shows that the number of monthly users of Dianping
reached 165.312 million in 2022. Higher popularity
and usage have injected vitality into it. At the same
time, Dianping takes incentive mechanism to
encourage users to post reviews and share
consumption experience through points, rewards and
membership levels, which is conducive to the
sustainable development of UGC model platform.
2.2.2 The Competitive Advantage of
Dianping Compared with Its
Competitors (in Terms of UGC)
Compared to Meituan, as a technology retail
company, Meituan not only provides group buying
and takeout services, but also includes hotel
reservations, travel and so on. Although it merged
with Dianping in 2015, the two companies still
compete with each other. In comparison, the
competitive advantage of Dianping is mainly
reflected in rich and real user reviews (Wang
etal.,2025). As the world’s first third-party consumer
review website, Dianping has accumulated a large
number of real consumer reviews and feedback. The
“2024 Evaluation Transparency Report” released by
Dianping shows that Dianping added 268 million real
reviews, covering over 8 million merchants across
various scenarios such as dining, entertainment,
travel and so on, in 2024.This helps users choose
merchants from a consumer perspective. Data show
that as a trading platform, Meituan uses comments
only 35% of the time.
Compared to TikTok, TikTok as a short video
platform, it influences consumers’ decisions through
recommendations and provides group buying
services to compete with Dianping in catering and
tourism. In comparison, the competitive advantage of
Dianping is reflected in the depth of user-generated
content. Dianping adopts the UGC model,
accumulates a large number of real user reviews, and
forms a strong community atmosphere, which can
help users to have a deeper understanding of
merchants. However, the TikTok’s UGC is more
entertainment and instant promotion. So, it can only
give a superficial understanding of merchants. The
report published by Hexun shows that Dianping
platform dealt with illegal evaluations beyond 20
million resolutely and punished more than 60,000
illegal merchants. Moreover, it ontercepted 156
instances of negative review harassment by reviewing
one by one in 2024.In order to protect the authenticity
of user reviews.
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3 THE NETWORK EFFECT OF
DIANPING (UGC RELATED)
3.1 The Underlying Logic of Network
Effects
Dianping adopts the UGC model. It formed a strong
community atmosphere and increased user
engagement. It is good for enhance network. effects
(Pengetal.,2020). Dianping has both bilateral network
and multilateral network effect. First of all, about
cross-border network effects. Dianping connected
consumers and business, forming a typical cross-side
network effect. When consumers post comments and
share them consumption experience, it can help
merchants increase exposure, attract more consumers
to the store, earn profits for merchants, and thus
attract more merchants to enter. Therefore, when the
scale of C-end users expands, it will promote the
enrichment of B-end merchant resources. When the
number of merchants in Dianping increases, it will
provide consumers with more consumption choices,
thus promoting healthy competition among
merchants, improving service level, providing better
services for users, and ultimately attracting more
consumers to consume. Therefore, when the
resources of B-end merchants are enriched, the scale
of C-end users expands. Second, regarding the
network effect of the same side, Dianping adopts the
user-generated content model, accumulates a large
number of real user reviews, and forms a strong
community atmosphere (Formosa et al., 2024).
Therefore, it has a strong network effect on the same
side. When users release real comments, ratings and
other consumption experiences, they will attract more
consumers to use Dianping for consumption
reference, which will bring good reputation to
Dianping. As a result, the brand effect enables
Dianping to attract more users to join, achieving the
same side network effect of attracting C-end users to
C-end users (Wang, 2023). At the same time, through
the user does not Breaking the sharing consumption
experience and conducting interactive activities such
as asking questions and answering questions can
enhance the stickiness between users and promote the
sustainability of network effect Continuous
development. It can be seen that the network effect of
Dianping is essentially synergy of two-sided market
and the self-consistency of content ecology It's a dual
driver. For the mutual benefit and protection of
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Author’s authorization to publish the Contribution.
3.2 The Network Effect Amplification
Mechanism of the UGC Model
Platform
The amplification mechanism of the UGC mode
platform is mainly reflected in the increase of
information density, social media fission, long tail
demand activates three aspects. First, about
information density improvement. The model of user-
generated content provides good convenience for the
release of a large amount of information. In the
consumer review and experience published by users
in Dianping, other consumers can provide clear self-
views. This concise expression directly cuts to the
theme and is conducive to other consumers making
decisions quickly.
At the same time, in the consumption evaluation
and experience published by users, users will use
vivid and colloquial expressions to make the
evaluation content clear and easy to understand. In
addition, the consumption evaluation and experience
published by users contain the true feelings after user
experience, which are true opinions proved by
practice and have relatively fair and objective
credibility and persuasiveness. To sum up, the user-
generated content model is conducive to improving
information density, making information
transmission more accurate and better quality, so as
to enhance the network effect of C-end users. Second,
about social communication fission. As a reference
platform for consumers before consumption,
Dianping adopts the mode of user-generated content,
which greatly promotes social communication fission.
By sharing their consumption experience on
Dianping, users will attract consumers with the same
hobbies together, forming a strong community
atmosphere.
Through forwarding and liking, the content will
quickly spread, forming social communication
fission, enhancing the interactivity and dependence
among users, thus promoting the amplification of
network effect among C-end users. Third, about the
activation of long tail demand. Due to the user-
generated content model, Dianping can pay full
attention to various demands and provide
personalized service recommendations for more
niche users. According to the data of China Business
News, In 2024, the evaluation volume of Dianping's
spare rib and rice cake increased by+468.1%, while
the evaluation volume of Gansu spicy hot pot surged
by +441 times; in 2024, the evaluation volume related
to Jiangxi cuisine increased by+212%, Guizhou
cuisine by +136%, and Northwest folk cuisine
by+121%; in 2024, the number of notes related to
Analysis of the Competitive Strategies of UGC Model Platforms Under the Electronic Commerce Marketing Boom: Taking Dianping as an
Example
535
"local flavors" increased by +215%, and the number
of notes related to "food travel guides" increased by
+209%, indicating a trend towards "exploring local
flavors." In 2024, the number of notes related to "fly-
in restaurants" and "street stalls" increased by+132%;
the evaluation of snack and fast-food categories grew
by+56%; and the evaluation volume for supermarkets
and convenience stores rose by+45.3%. This suggests
a trend towards "returning to the warmth of daily
life." Combining these two trends, we can summarize
that there is a preference for small eateries and a
desire to explore local culinary flavors. It reflects that
Dianping uses big data and AI technology to
understand users' preferences based on their past
consumption and provides personalized
recommendation services to effectively improve user
experience. It promotes the activation of long-tail
demand and effectively enhances network effect.
4 INNOVATION STRATEGIES OF
DIANPING UNDER AI
DEVELOPMENT
4.1 AI Reconstruction of Content
Production and Distribution
4.1.1 AI Assisted Writing
With the continuous development of technology and
the constant upgrading of AI technology, UGC
creation tools have also been upgraded. When
consumers write post-consumption experiences, they
often share their views in fragmented or colloquial
ways to AI. Through AI-assisted creation, it is hoped
that AI will play the role of an auxiliary assistant to
help refine consumer reviews (Formosa,2024).
Through AI polishing, more accurate and concise
language is used to make the consumption evaluation
more vivid and realistic. At the same time, the
assistance of AI enables Dianping to realize multi-
modal content generation, breaks the limitation of
traditional AIGC (AI-Generated content) technology,
makes consumer evaluation rich in pictures and text,
so as to attract more users to join, and makes the user-
generated content model of Dianping sustainable
development. In addition, the combination of text and
visual images has been realized in the search and
recommendation scenarios of Dianping, realizing
multi-modal content generation.
4.1.2 Precise Content Recommendation
The development of AI can provide users with more
accurate content recommendations. AI provides
personalized merchant recommendations and
preferential information by analyzing users' historical
behaviors, preferences and geographical locations. At
the same time, AI bravely analyzes user comments
and reviews through natural language processing,
extracts key information, enriches interest maps, so as
to meet users' personalized interests.
4.2 Intelligent Transformation of
Merchant Services
Dianping uses AI to optimize its operations and use
AI as an assistant for merchants (Ali et al., 2024).
Artificial intelligence enables Dianping to develop
sustainable enterprises. Dianping has launched a
hybrid mode of "AI assistance + human customer
service", which uses AI to answer simple questions
and reduce the waste of labor resources. At the same
time, Dianping launched virtual scene marketing,
such as AR store exploration and VR panoramic
display. Through the pending improvement of AR
and VR technology means, consumers can help to
experience a more real consumption environment
through multi-sensory experience (Agost et al., 2024).
4.3 Technology-Enabled Ecological
Governance
AI maintains the community environment. Research
has found that content homogeneity and information
authenticity have a significant impact on the
countermeasures of brand marketing information in
social media (Zhang and Wang, 2024). Therefore, it
is necessary to strictly govern the community
environment of Dianping. As mentioned in the
Xinhuanet article, in recent years, the number of
negative feedback related to users who "induce good
reviews" on Dianping has increased. In 2024, in
response to key violations such as "users writing
reviews with the interference of interests", Dianping
will promote multiple governance actions such as AI
identification, undercover visits by black people and
manual visits on the basis of four lines of defense. In
this way, a good community environment can be
guaranteed. However, due to the imperfect laws
related to AI, legal supervision should be
strengthened, ethics and morals should be observed,
and users' data privacy should be paid attention to
when ecological governance is enabled by AI
technology (Chen et al., 2025).
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5 CONCLUSION
This paper adopts the method of qualitative analysis
to study the strategies of UGC model platforms with
mass point as an example from multiple perspectives.
The advantages of the UGC model platform are
summarized as follows, Dianping adopts the UGC
business model, accumulates a large number of real
users reviews, forms a strong community atmosphere,
helps users to have a deeper understanding of
merchants, facilitates rational consumption by
consumers, and promotes economic growth. It further
elaborates the innovation strategy of Dianping under
the empowerment of AI, which is embodied in the AI
reconstruction of content production and distribution
and the intelligent transformation of merchant
services and ecological governance enabled by
technology.
In recent years, the booming development of short
videos has caused a great impact on Dianping.
Therefore, Dianping should explore more content
forms to attract young users. Considering its
advantages and challenges, in order to promote the
optimization and upgrading of UGC mode platforms,
UGC mode platforms should strengthen supervision
to ensure the authenticity of user reviews. Strengthen
data management to ensure the information security
of users. Combine with AI to carry out personalized
recommendations, attract users and form a good
community atmosphere.
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