Snapshot of Consumer Behaviors of June 2025-EOLiSurvey (EN).pdf

2025
Snapshot of TW Consumer
Behaviors June 2025
The focus of data:
⚫Effective Way to Analyze the Commercial District- Take the
Hand-shaken Drinks Market in Zhongshan District as an
Example
⚫New consuming behavior following up for the past 6 months
Releases on June 30, 2025

Become an EOL Group member and get early
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PART 1
Effective Way to Analyze the
Commercial District-
Take the Hand-shaken Drinks
Market in Zhongshan District
as an Example

Inquiry Duration: 2025Q1
• Commercial district: Taipei Metro Zhongshan Station
• Radius: 500m
• Industry: Food & beverage>Hand-shaken drinks
Source: EOL GooSpots Commercial District Location
Database,25Q1
The summer is coming, and having hand-shaken drinks has become a part of daily life in
Taiwan. Currently, the market size of hand-shaken drinks in Taiwan reaches 10 billion NTD,
with 16 thousand shops and continuing to grow at a rate of around 80 new openings per
month.
Taipei Metro Zhongshan Station is surrounded by numerous department stores and features a
unique mix of retro and artistic boutique shops along Chifeng Street. This combination makes
it the most lively and popular commercial district, but also the prime battlefield for hand-
shaken drinks.
This report utilizes EOL's newly launched GooSpots Commercial District Location Database to
conduct a comprehensive study of the Zhongshan Station commercial district, with a focus on
hand-shaken drink shops. The analysis covers the overall characteristics of the district, as well
as consumer behavior and consumer profiles.
Finally, the report provides a detailed assessment of the strengths and weaknesses of
investing in hand-shaken shops within this area, along with strategic recommendations for
potential shop openings.

24,000
Of monthly consumer
demographic
270,000
Of monthly consumption
volume
19
Of hand-shaken
drinks shops
There are 19 hand-shaken drinks
shops in this area, with a high
level of competition
81 NTD
As the average
order value
It shows the moderate
spending power in this area,
matching the market position
of hand-shaken drinks.
3.19 million NTD
As the highest
revenue/month
The highest revenue of the
hand-shaken drinks shop in
this area can reach 3.19
million NTD, showing a
certain market potential.
1.26 million NTD
As the average revenue of
each shop/month
The average monthly
revenue of each hand-
shaken drinks shop in this
area is 1.26 million NTD.
Source: EOL GooSpots Commercial District Location Database,25Q1
Technical Advantage:
EOL leverages a vast integration of actual transaction records and
model consumer behavior across various types of retail channels so as
to estimate the monthly revenues of individual stores within
commercial districts. The system delivers highly accurate revenue
projections, validated through multiple rounds of empirical testing.
Compared to traditional methods that rely on foot traffic counts or floor
area to approximate sales, EOL's system provides concrete revenue
estimates based on actual consumption frequency and average
transaction value models. This allows clients to quickly assess market
potential and site selection risks with greater precision.
• Commercial district: Taipei Metro
Zhongshan Station
• Radius: 500m
• Industry: Food &
beverage>Hand-shaken drinks
Data analysis of spending
power on hand-shaken drinks
Monthly Number of Hand-Shaken
Drink Consumers within 500
Meters of Zhongshan Station
Consumption frequency in this
area: Each person has 1.1
purchases per month
Have lower purchase frequency
and higher consumer turnover
The hand-shaken drink market in this area is highly competitive, with an average monthly revenue of 1.26 million NTD
per shop, and top-performing shops reaching up to 3.19 million NTD. While the market size is significant, the
proportion of repeat customers remains low, indicatinga high-turnover commercial district.

76%
13%
4%
7%
High-transient
population
Technical Advantage:
EOL utilizes a large amount of consumption records to analyze
consumption frequency and time periods using algorithms, in order
to identify whether the consumers are part of the resident population.
This method overcomes the limitations of traditional analysis
methods, which rely on traditional telegram traffic (passersby without
consumption) and household information. It provides a more
accurate and commercially valuable method for identifying
populations. This identification model dynamically adjusts based on
consumption categories, regional characteristics, and distance
radius, generating residential demographic profiles in real-time
through computational analysis.
Food &
beverage,
42.4%
Food retail,
7.0%
Comprehens
ive retail,
18.9%
Daily life
service,
11.1%
Fashion,
20.0%
Zhongshan Station
• Radius: 500m
Commercial District Characteristics
and Industry Distribution
Analysis of Population
Mobility
This area is characterized by high foot traffic, indicating that the MRT station can bring large numbers of passersby and potential consumers. Since the food
and beverage industries, as well as fashion-related industries, take a higher proportion in this area, this kind of consumer profile is suitable for hand-shaken
drinks shops, which have immediate consumption formats and can effectively convert foot traffic into customer traffic.
The food and beverage industry accounts for over 40% in this area, indicating the high
level of dining-related consumption activity. The proportion of fashion-related
industries and comprehensive retail industries is nearly 20%, respectively. The former
proportion is relatively higher than that in other commercial districts, showing that the
commercial district is fashionable and has diverse shopping types, which could help
drive extra consumption of hand-shaken drinks.
Transient population
Daytime population
Nighttime
population
All-day population
High concentration of
food & beverage and
fashion industries

WUSHILAND
2 2 1
1 1 2
Research advantage:
EOL leverages the diverse data, large amount of consumption records and
decades of research experience to identify and list the leading brands and
popular brands.
Zhongshan Station
• Radius: 500m
Analysis of Major Competitors
QING XIN FU QUAN WooTea
Guiji Milksha KEBUKE

SOMA WUSHILAND WooTea
SOMA WUSHILAND WooTea
Zhongshan Station
• Radius: 500m
Analysis of Major Competitors
3.19 million NTD
(The highest in this area)
Location: No. 23, Ln. 20, Sec. 2, Zhongshan N. Rd.
Monthly revenue: 319 million (The highest in
this area)
Average order value: 122 NTD
2.28 million NTD
Location: 1F., No. 3, Ln. 12, Nanjing W. Rd.
Monthly revenue: 75 NTD
1.89 million NTD
Location: No. 6, Ln 18, Nanjing W. Rd.
Monthly revenue: 1.89 million NTD
The monthly revenue of the top brand in this area is nearly 2 times higher than the average revenue in the overall market
(1.26 million NTD), showing the significance of the brand position.

SOMA
0.1
%
26.4
%
25.5
%
48.1
%
WUSHILAND
3.6
%
30.7
% 20.7
%
45.1
%
WooTea
27.2
%
22.6
%
50.2
%
Research advantage:
Sort out the consumption time period of each shop by
using the actual consumption records, instead of relying
on traditional manual observation or headcounts to
receive the actual records, saving time and money.
06
~
10
11
~
14
15
~
16
17
~
22
06
~
10
11
~
14
15
~
16
17
~
22
06
~
10
11
~
14
15
~
16
17
~
22
Zhongshan Station
• Radius: 500m
Analysis of the
Consumption Period
The evening consumption is higher than the midday consumption
Evening consumption is significantly higher than midday levels, suggesting that staffing
arrangements should place particular emphasis on the late afternoon to evening hours.
17:00~22:00 48%
11:00~14:00 26%
（start from 11:00）
17:00~22:00 44%
11:00~14:00 31%
17:00~22:00 49%
11:00~14:00 28%

Convenience store
Research advantage:
EOL conducts a comprehensive audit and categorization
of brands across diverse industries, not limited to a single
sector, providing clients with various industry information.
Analysis of Popular Stores
Nearby
Various popular brands can have a
stronger cluster effect
Several popular brands are located in this
area, demonstrating the well-developed
nature of this commercial district, which
offers great attractions to customers.
Leaders of the retail
department
• Shin Kong Mitsukoshi
• Eslite
• NET
• Decathlon
Food & beverage brands
• Kura Sushi (1 store)
• CHIN HUAJIAO (1 store)
• Second Floor (1 store)
• TRIPODKING (2 stores) and
other chain stores
• 7-ELEVEN (12 stores)
• Family Mart (11 stores)
• PX Mart (1 store)
• Hi-Life (4 stores)
Personal care store
• Watsons (4 stores)
• POYA (1 store)
• Jpmed (2 stores)
• Cosmed (1 store)
• Daiso (1 store)

Highly Youth-Oriented
15% 10% 14% 17%
45%
Elderly 45%
resident population
16,000
46%
Male
54%
Female
68%
Female
32%
Male
Hand-shaken drinks
consumers in this area
240,000
37% 31%
20%
9%
3%
Research advantage:
Consumer profiles can be analyzed based on the actual
consumption records instead of relying on the household
information. The system can output the actual consumer
profiles with dynamic adjustment according to the
consumption types, area and distance.
Zhongshan Station
• Radius: 500m
Comparative Analysis of Consumer Profile
Residential demographics significantly differ from consumer demographics,
reflecting the consumption characteristics of high-transient consumption.
The comparison of residential and consumer demographics structures shows that, while
the main residents in this area are middle-aged or elderly, actual consumption comes from
foot traffic, which consists of the younger generation. This is valuable information for
selecting a location for a hand-shaken drinks shop.
Residential
demographics structure
Household information shows that the residents are mainly elderly, residents over 50
years old account for 45%, the middle-aged (40-49Y) for 17%, while the young generation
(20-39Y) only accounts for 24%, highlighting a clear trend of population aging in the area.
Actual consumer
demographics structure
Hand-shaken drink consumers in the area are primarily young generations, with the
proportion of consumers below 29 years old as 68% (37% under 19 and 31% between
20 and 29). Consumers aged 30–39 make up 20%, while those aged 40 and above
represent only 12%. Females account for 68% of the consumer base, indicating that
young women are the primary drivers of consumption in this market.

✓ 68% of consumers are aged 29 years old or younger
✓ It is a high-concentration consumer group,
with 68% of female consumers
Pros and Cons Analysis for Investment Decisions-Pros
Large foot traffic & market potential
✓ 76% of the population is transient, and the MTR
station brings large numbers of passersby
✓ A large number of consumers have a certain scale
of consumption market
Main consumers are the young generations Clearly defined peak consumption hours
✓ The primary consumption peak occurs between 5:00
PM and 10:00 PM
✓ It allows for efficient resource allocation and effective
scheduling of promotional activities
✓ The top-performing store in the area reaches a
monthly revenue of NT$3.19 million (SOMA).
✓ It indicates strong revenue potential and high
brand impact.
Strong brand development
potential with high revenue ceiling
✓ It is surrounded by major commercial attractions
such as Shin Kong Mitsukoshi, Eslite, 7-ELEVEN,
and Kura Sushi.
✓ This well-established commercial district has
strong foot traffic spillover.
Various popular stores with strong
cluster effect
Accessible price range
✓ The average spending per customer is NT$87, aligning
well with consumer habits for hand-shaken drinks.

Fierce market competition
Pros and Cons Analysis for Investment Decisions-Cons
• There are already 19 hand-shaken
drinks shops in this 500m-radius area.
• High brand overlap leads to significant
cannibalization effects
Low consumer loyalty and
repeat visits
• Consumers make only 1.1 purchases per
month on average
• High customer turnover makes it difficult
to build long-term relationships.
High trial behavior and rapid
brand switching
• Young consumers like novelty and are
quick to shift preferences.
• Brands without hot topics or innovation are
easy to be ignored.
Difficulty in establishing
membership or loyalty programs
• Most consumers are transient customers,
making it hard to foster stable repeat
purchases.
High operating costs
• Premium locations come with high rent,
marketing, and labor costs
• Without clear brand positioning, businesses
risk falling into price wars
• As the area is highly trend-sensitive, interior
design and branding costs are also elevated

Suggestions and reminders
of store opening
Comprehensive evaluation: This commercial area has a basic level of consumer spending and
customer traffic, but it is also marked by fierce competition. Investors should prioritize
differentiation and create a unique brand image that includes fashionable elements.
Positioning Strategy: Focus on Perceived Value, Not Price Competition
• It is advisable to create a brand with a distinct identity or focus on making "high aesthetic and
high quality" beverages, learning from SOMA and WooTea, which attract young consumers to
come for a premium experience.
Marketing Strategy: Utilize Social Media and Buzz-Driven Tactics
• Leverage young consumers’ interest in novelty and trends by shaping your brand image through
platforms such as Instagram, TikTok, and YouTube. Design social sharing spaces and offer
limited-edition products to create shareable moments and generate social buzz.
• Given the high proportion of female consumers, marketing campaigns can also incorporate
themes and preferences that resonate with female audiences.
Operational Planning: Concentrate Resources During Evening Hours
• Focus operational resources during the peak hours of 5:00 PM to 10:00 PM, and consider
introducing after-work promotions or evening-exclusive drinks to capture demand during this
high-traffic period.
Loyalty & Repurchase Strategy: Short-Term Interactions with Immediate Rewards
• Considering the high number of transient consumers and the low rate of repeat purchases,
loyalty strategies should prioritize short-term engagement opportunities. Implementing long-
term or high-threshold mechanisms, such as demanding 10 purchases within a month, could
greatly discourage consumer participation.

Great｜Open｜Opportunity｜Spots = GooSpots
Choose the right location and gain a
competitive edge from the very start!
Innovative Location Selection System- Exclusively Self-
developed by EOL Group
Easily and efficiently identify prime
business locations!
Pinpoint high-potential hotspots
and commercial cores with precision.

Retail sales data
AI-Powered retail data strongly support the store
expansion decisions
By leveraging advanced AI technologies, Goospots conducts in-
depth analysis and integrates multiple data sources.
Publicly available
information
GIS geographic data

Core Advantages of Goospots
A comprehensive site selection solution that addresses three key challenges
Reduced Labor Costs
Save time and manpower
previously spent on information
gathering.
1-Minute Rapid
Assessment
Instantly evaluate potential
locations or business districts.
Quickly determine the commercial
potential of an area.
Access to Sales
Intelligence
Track sales trends of stores
within the district, providing a
more data-backed foundation for
revenue estimation.

Region Designated
Locations
Targeted Insights on "Point-of-Interest", In-Depth
Analysis of Consumption Structure
Focus on purchasing power in the region and in “single points (stores)”, with
dual data support as the core key.
No more "busy" testing! More efficiency, more
evidence-based!

3 Core Pillars of Research Capabilities: Redefining
Commercial District Analysis
Proprietary predictive models × In-house developed engine = Exceptional flexibility
In-House Development
Built entirely by EOL expert team,
backed by decades of commercial
research experience combining data
science and business district modeling.
Three Patent-Granted
Innovations
Core technologies have received invention
patents, offering a more accurate and
scientific approach to site selection.
High Degree of Customization
Strong in-house R&D capabilities allow
for tailored adjustments to meet the
diverse needs of different brands.

PART 3
New consuming behavior following up
for the past 6 month
• Survey to the usage ratio of new consuming behavior
• Consumer’s Hot Topics
EOL Group Survey
Method: EOL Group - EOLembrain Online Member Survey
Effective sample size: 1,000, 20-64 years old

65.1%
25.2% 24.9%
13.2%
0%
20%
40%
60%
80%
Survey to the usage ratio of new consuming behavior
Posting IG Stories and going to gym have rebounded
1
Online Payment Posting IG Stories
Of all the respondents aged 20 to 64, what were the levels of utilization of various consumer behaviors in the past 6 months?
EOL Group Survey, N=1,000, 20-64 years old，conducted by: EOLembrain Online Member Survey (January 2025 to June 2025) © Eastern Online Co., Ltd
Others
Accessing LINE
Shopping Group
Accessing
Delivery App
Upload
TikTok video
Use online
bank account
Going to gym or sports
classroom,
such as boxing, yoga, TRX,
Fitness Equipment
Subscription-based
streaming video services,
such as Netflix, iQIYI, CatchPlay,
etc.
Jun.
May.
Jan. Feb. Mar. Apr.
May. Jun.
Jan. Feb. Mar. Apr.
Jun.
May.
Jan. Feb. Mar. Apr. Jun.
May.
Jan. Feb. Mar. Apr. Jun.
May.
Jan. Feb. Mar. Apr.
18.6%
32.0%
4.2%
26.3%
0%
15%
30%
45%
May. Jun.
Jan. Feb. Mar. Apr. May. Jun.
Jan. Feb. Mar. Apr. May. Jun.
Jan. Feb. Mar. Apr.

46.5%
37.7%
28.2%
23.9% 22.6% 20.7% 20.3% 19.1%
0%
20%
40%
60%
2 Hot Topics Among Consumers
Whether it’s in person, via text message, or sharing on social media platforms, what topics did consumers proactively share with
friends in past 6 months?
Apr.
May.
Jun.
Jan.
Feb.
Mar.
EOL Group Survey, N=1,000, 20-64 years old，conducted by: EOLembrain Online Member Survey (January 2025 to June 2025) © Eastern Online Co., Ltd
Apr.
May.
Jun.
Jan.
Feb.
Mar.
Apr.
May.
Jun.
Jan.
Feb.
Mar.
Apr.
May.
Jun.
Jan.
Feb.
Mar.
Apr.
May.
Jun.
Jan.
Feb.
Mar.
Apr.
May.
Jun.
Jan.
Feb.
Mar.
Apr.
May.
Jun.
Jan.
Feb.
Mar.
Apr.
May.
Jun.
Jan.
Feb.
Mar.
Food
And
Dining
Investment and
Financial
Management
Shopping
and
Discount
Culinary
Drama Politics
International
Issues
Economy

EOL Group is outstanding in consumer
marketing research in Taiwan.
With rich expertise in consumer market
research, EOL Group has developed massive
databases and utilizes AI to deepen its
research, enabling it to grasp the real
changes in industries and consumers.
Companies in Taiwan Company in China

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96 thousand
household
1.4+
billion
200
thousand
Member of Macromill
Weekly index Asia
Annual Trend seminar
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attendees
200
companies
E-ICP
Taiwan Consumption
Demands Research
Research to changes of consumption
trends, values and lifestyles
Big Data Research
Research on sales using data of
issued invoices
Research on word-of-mouth
among communities
Online Survey
Solid, fast and precise
identification of
registered members
Trend Seminar

EOL Consumer Research Team
Integrated
Platform
Teams and Experts
from Diverse Fields
Marketing Suggestion
Conquering the blind spots
E-ICP consumer profile for 37 years
The Online Survey Database with
200,000 Registered Members
Offline Qualitative and Quantitative
Survey
Teams with practical experience composed
of Experts from fields including:
1.Trned Study 2.Communication
3.Brand Marketing
4.Consumer Behaviors
Precise database
Effective and feasible strategic proposals
Integrated marketing and communication
services could be offered using resources
of the Group
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※ Do not cite, distribute, reprint, copy, and/or reproduce any
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