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

PARTⅠ: Analysis of consumer behavior affected by influencer-sponsored promotion, group purchase, and live commerce
PARTⅡ: New consuming behavior following up for the past 6 months

1. 2025
Snapshot of TW Consumer
Behaviors 2025
The focus of data:
⚫Analysis of consumer behavior affected by influencer-sponsored
promotion, group purchase, and live commerce
⚫New consuming behavior following up for the past 6 months
Releases on August 31, 2025

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Information

4. PART 1
Analysisofconsumerbehavior
affectedbyinfluencer-sponsored
promotion,grouppurchase,and
livecommerce
Survey Method: EOL Group -EOLembrainOnline Survey
Effective sample size: 1,000, 20-59 years old
Sampling Error: With a confidence level of 95%, the sampling error is ±3.1%
Quota Method: Quota sampling is conducted based on the population's age and region (North, Middle, South) in Taiwan
Sample Screening: EOL’s respondents have all undergone rigorous identity verification, and invalid responses, random responses, and samples
that do not match the background have been excluded, thereby enhancing the authenticity and precision of the online survey.

5. 1
What is your usual shopping pattern? Purchase with influencers, group purchase, or live commerce?
Explore the consumers behavior under the new online shopping
patterns
Thegrowingpopularityofinfluencersandlivestreaming
inrecentyearsalsobringoutseveralnewonline
shoppingpatterns,includinginfluencer-sponsored
promotion,grouppurchase,andlivecommerce.
Forbrands,differentshoppingpatternsprovidevarious
ways,eachwithuniquefeatures,tocontactand
communicatewithconsumers;meanwhile,for
consumers,thesenewpatternsalsodelivermore
informationaboutproductsandpromotions.
Inresponse,EOLGroupconductedasurveyofthese
newonlineshoppingpatternstoexamineconsumers
behavior,withaparticularfocusonlivecommerce.The
analysisaimstoprovideinsightstoguidetheplanning
andoperationofrelatedmarketing.
All Rights Reserved© Eastern Online Co., Ltd.

6. 2
Sample(N=1000) Percentage
Gender
Male 500 50%
Female 500 50%
Age
20-29Y 207 21%
30-39Y 243 24%
40-49Y 243 24%
50-59Y 207 21%
*60-64Y 100 10%
Region
Northern 460 46%
Middle 200 20%
Southern 300 30%
Eastern 40 4%
Structure of survey sampleMethod of
Survey
Respondents
Sample
EOL Group-EOLembrain
Online Survey
1,000, (the sampling
error is ±3.1%)
Male and female consumers
in Taiwan, 20-64 years old
Explanation of survey design
© Eastern Online Co., Ltd.

7. In the past year, conditions of buying
sponsored promotion products after
watching KOL/Influencers/live
streaming hosts’ videos or live
(N=1000)
Purchased
14.5%
Did not
purchase
14.5%
(N=1000)
Purchased
24.7%
Did not
purchase
76.3%
(N=1000)
Purchased
10.4%
Did not
purchase
89.6%
3
EOL Group Survey, N=1,000, 20-64 years old; conducted by: EOLembrainOnline Member Survey (August 2025) © Eastern Online Co., Ltd.
Among the new online shopping methods, group purchase has the highest usage rate, as 24.7%
The rate of buying influencer-sponsored products is 14.5% while live
commerce only has 1%.
ThesurveyconductedbyEOLGroupinAugustshowsthat,theproportionsofconsumerswhohadpurchased
productsthroughinfluencer-sponsoredpromotions,influencergrouppurchase,andlivecommercewithinthe
pastyearwere14.5%,24.7%,and10.4%,respectively.Theoveralladoptionoftheseemergingonlineshopping
methodsremainsrelativelylow,withallthreebelow25%.Amongthem,group-purchaserecordedthehighest
participationrate,whilelivecommercehadthelowest,ataround10%.
In the past year, conditions of buying
group purchase products after watching
KOL/Influencers/live streaming hosts’
videos or live
In the past year, the conditions of
buying products directly when
watching live commerce

8. 14.5%
13.0%
16.0%
17.9%
20.2%
14.4%
8.7%
6.0%
0%
20%
40%
Overall Male Female 20-29Y 30-39Y 40-49Y 50-59Y 60-64Y
N=1000 N=500 N=500 N=207 N=243 N=243 N=207 N=100
66.2%
23.4%
6.2%
0.7% 0.7%
2.8%
0%
20%
40%
60%
80%
1-3times 4-6times 7-9times 10-12times 13times or
more
No buying
NO Category
Overall
N=145
Male
N=65
Female
N=80
1Food/drinks 53.1% 53.8%52.5%
2Household goods 28.3% 26.2%30.0%
3Cosmetic and skincare product26.2% 10.8%38.8%
4Clothes/shoes 25.5% 20.0%30.0%
5
Fresh produce/agricultural
product
19.3% 27.7%12.5%
6Electronic product 18.6% 26.2%12.5%
7Others, please specify 0.7% 0.0% 1.3%
Overall
N=145
Male N=65 Female
N=80
4
© Eastern Online Co., Ltd.EOL Group Survey, N=1,000, 20-64 years old; conducted by: EOLembrainOnline Member Survey (August 2025)
Female consumers aged 30-39 have a higher proportion of buying influencer-sponsored products
60% of consumers have purchased 1-3 times in the past 6 months,
with food/drinks as the most popular items
Regardingpurchasesofinfluencer-sponsoredproducts,14.5%ofconsumersboughtsuchproductsinthepastyear,withaslightly
higherproportionamongfemaleconsumers(16.0%).Acrossdifferentgenerations,consumersaged30–39showthehighest
purchaserate(20.2%),andtheoverallpurchaseratedeclinedwithincreasingage.
Intermsofpurchasefrequency,overthepast6months,mostconsumers(66.2%)purchasedfor1–3times.Asforproductcategories,
foodanddrinksrankedhighest,accountingfor53.1%ofpurchases,andthiscategorywasthetopchoiceregardlessofgender.
Genderdifferenceswerealsoobserved:femaleconsumersshowedamarkedlyhigherpurchaserateincosmeticandskincare
products,whilemaleconsumershadhigherpurchaseratesinelectronicproducts.Notably,maleconsumersalsodemonstrated
significantlygreaterinterestinfreshproduceandagriculturalproducts,withtheirpurchaserateinthiscategoryexceedingthatof
femaleconsumersby15.5%.
Have bought influencer-sponsored products in the past year
by gender, age
Frequency of buying influencer-sponsored products
in the past 6 months by age
Category of influencer-sponsored products being bought
in the past 6 months by gender (choose all that apply)

9. 24.7%
20.2%
29.5%
23.7%
27.2%27.2%
23.7%
17.0%
0%
20%
40%
Overall Male Female 20-29Y 30-39Y 40-49Y 50-59Y 60-64Y
N=1000 N=500 N=500 N=207 N=243 N=243 N=207 N=100
47.7%
29.1%
10.9%
6.9% 4.9% 0.8%
0%
20%
40%
60%
80%
1-3times 4-6times 7-9times 10-12times 13times or
more
No buying
NO Category
Overall
N=247
Male
N=101
Female
N=146
1Food/drinks 56.3% 57.4%55.6%
2Household goods 38.9% 41.6%37.0%
3Cosmetic and skincare product33.2% 32.7%33.6%
4Clothes/shoes 27.1% 22.8%30.1%
5
Fresh produce/agricultural
product
19.0% 17.8%19.9%
6Electronic product 18.2% 25.7%13.0%
7Others, please specify 1.2% 0.0% 1.4%
5
© Eastern Online Co., Ltd.EOL Group Survey, N=1,000, 20-64 years old; conducted by: EOLembrainOnline Member Survey (August 2025)
Females and consumers aged 30-49 have a higher proportion of having group purchases.
Nearly 50% of consumers bought 1-3 times in the past 6 months,
with food/drinks as the most popular items.
Regardingthegrouppurchase,24.7%ofconsumershavesuchbehaviorinthepastyear,withaslightlyhigherproportionamongfemale
consumers(29.5%).Bydifferentgenerations,consumersaged30-39and40-49havethehighestproportion,as27.2%,whichindicates
thatthegrouppurchasepatternisrelativelyattractivetoolderconsumers.
Intermsofpurchasefrequency,overthepast6months,thefrequencyofhavingsuchapurchase1-3timeshasthehighestproportion,
followedbythefrequencyof4-5times,andtheoverallfrequencyishigherthanthatoftheinfluencer-sponsoredpromotionpattern.As
forproductcategories,food/drinksarestillthemostpopularitemsbeingpurchased,withtheproportionas56.3%,regardlessofgender.
Genderdifferencesaresimilartotheinfluencer-sponsoredpromotionpatterns:femaleconsumersshowedamarkedlyhigherpurchase
rateincosmeticandskincareproducts,whilemaleconsumershadhigherpurchaseratesinelectronicproducts.Unlikethepattern
observedininfluencer-sponsoredpromotions,however,maleconsumersdidnotexceedwomeninthepurchaseoffreshproduceand
agriculturalproducts.
Have group purchases in the past year by gender, age
Frequency of having group purchase in the past 6 months by age
Category of products being bought in the group purchase
in the past 6 months by gender (choose all that apply)
Overall
N=145
Male N=65
Female
N=80

10. 10.4% 8.6%
12.2%
8.7%
9.9%
13.2%
11.6%
6.0%
0%
20%
Overall Male Female 20-29Y 30-39Y 40-49Y 50-59Y 60-64Y
N=1000 N=500 N=500 N=207 N=243 N=243 N=207 N=100
20.9%
9.6%
3.6%
3.1% 0.1%
62.7%
0%
20%
40%
60%
80%
1-3times 4-6times 7-9times 10-12times 13times or
more
No buying
Overall
N=1000
Male N=500
Female
N=5000
6
63.5%
45.3%
27.1%
19.3%
16.4%
12.9%
5.1%
Shopee
Facebook
YouTube
Instagram
TikTok
momo
PChome
Overall
N=373
Male N=176
Female
N=197
© Eastern Online Co., Ltd.EOL Group Survey, N=1,000, 20-64 years old; conducted by: EOLembrainOnline Member Survey (August 2025)
Female consumers aged 30-49 have a higher proportion of having live commerce.
Nearly 60% of consumers didn’t watch shopping live in the past 3
months, while Shoppe is the main platform of live commerce.
Regardingtheshoppingbehaviorunderlivecommerce,10.4%ofconsumershaveboughtaproductunderlivecommerce,
whilefemaleconsumershaveaslightlyhigherproportion(12.2%).Fordifferentgenerations,consumersaged40-49havethe
highestproportioninbuyingsuchproducts(13.2%).
Intermsofshoppinglivewatchingbehavior,nearly40%ofconsumershavewatcheditinthepast3months,mostcommonly
1–3times(20.9%).Intermsofplatformchoice,Shopeewasthemostpopular,with63.5%ofviewers,followedbyFacebook
(45.3%)andYouTube(27.1%).Notably,amonge-commerceplatformsofferinglivecommerce,Shopee’sviewingratewas
significantlyhigherthanthatofmomoandPChome,underscoringShopee’sstrongerabilitytoattractlivecommerce
audiencescomparedwiththeothertwomajorplatforms.
Have bought products under live commerce in the past year
by gender, age
Frequency of watching live commerce in the past 3 months by age
The live commerce platform being used in the past 3
months by gender

11. 7
NO Category
Overall
N=373
Male
N=176
Female
N=197
1Food/drinks 54.2%52.3%55.8%
2Clothes/shoes 46.4%36.9%54.8%
3Household goods 40.2%41.5%39.1%
4
Cosmetic and skincare
product
39.1%21.6%54.8%
5
Fresh produce/agricultural
product
33.2%42.6%24.9%
6Electronic product26.8%39.2%15.7%
NO Category
Overall
N=373
Male
N=176
Female
N=197
1Food/drinks 17.2%12.5%21.3%
2Clothes/shoes 15.0%10.2%19.3%
3Household goods 10.2%7.4%12.7%
4
Cosmetic and skincare
product
10.7%5.1%15.7%
5
Fresh produce/agricultural
product
8.6%11.9% 5.6%
6Electronic product 6.4% 9.1% 4.1%
NO Category
Overal
l
MaleFemale
1Food/drinks 31.8%23.9%38.1%
2Clothes/shoes 32.3%27.6%35.2%
3Household goods 25.4%17.8%32.5%
4
Cosmetic and
skincare product
27.3%23.6%28.6%
5
Fresh produce/agricultural
product
25.9%27.9%22.5%
6Electronic product23.9%23.2%26.1%
Purchase Conversion Rate: proportion of viewers who subsequently became purchasers
© Eastern Online Co., Ltd.All Rights ReservedEOL Group Survey, N=1,000, 20-64 years old; conducted by: EOLembrainOnline Member Survey (August 2025)
Food/drinks have the highest viewing rate and purchase rate in live commerce in the past 3 months
Women showed a higher conversion rate from viewers to purchasers
compared with men.
Inlivecommerce,foodanddrinkshadthelargestshareat54.2%,withclothes/shoesandhouseholditemsfollowing.Genderdifferences
wereclear:womenweremorelikelytoviewclothes/shoesandcosmetic/skincareproducts,whilemenshowedgreaterinterestinfresh
produce,agriculturalproducts,andelectronics.
Asforactualpurchases,foodanddrinksagainrankedhighest(17.2%),followedbyclothes/shoesandcosmeticandskincareproducts.
Genderdifferenceswerealsoobserved:womenrecordedhigherpurchaseratesthanmeninmostcategories,whilemenexceededwomen
infreshproduce/agriculturalproductsandelectronicproducts.
Finally,concerningpurchaseconversionrates,whichistheproportionofviewerswhosubsequentlybecamepurchasers,asignificant
differenceappearsingenders.Womenexhibitedhigherconversionratesacrossalmostallcategories,exceptforfreshproduce/agricultural
products,wheremen’sconversionratewashigher.
Categories of products being viewed in
live commerce in the past 3 months by
gender (choose all that apply)
Categories of products being bought in
live commerce in the past 3 months by
gender (choose all that apply)
Purchase conversion rates of categories in live
commerce in the past 3 months by gender

12. 14.9%
21.8%
31.9%
15.4%
9.6%
3.2%
3.2%
10.8%
23.0%
40.5%
13.5%
4.1%
5.4%
2.7%
17.5%
21.1%
26.3%
16.7%
13.2%
1.8%
3.5%
0%
20%
40%
60%
Less than NT$500NT$501
-
999
NT$1,000
-
1,999
NT$2,000
-
2,999
NT$3,000
-
3,999
NT$4,000
-
4,999
NT$5,000 or more
OverallN=188 MaleN=74 FemaleN=114
The consumption amount in live commerce each time
8
© Eastern Online Co., Ltd.All Rights ReservedEOL Group Survey, N=1,000, 20-64 years old; conducted by: EOLembrainOnline Member Survey (August 2025)
Consumption amounts of consumers in live commerce each time are mostly in the range of NT$1000~1999
The consumption amounts of men are basically in NT$1000~1900,
while that of women is categorized into several different ranges.
Intermsoftheconsumptionamountinlivecommerce,thelargestsharefellwithinNT$1,000–1,999(31.9%),followedby
NT$501–999(21.8%)andNT$2,000–2,999(15.4%).TheproportionofconsumersspendingmorethanNT$4,000per
purchasewasrelativelylow,atonlyabout6%.
Bygender,theconsumptionamountofmaleconsumersinlivecommerceeachtimewasconcentratedintheNT$1,000–
1,999range(40.5%),withapproximately75%oftheirpurchasesfallingbelowNT$1,999.Incontrast,femalespendingwas
moreevenlydistributedacrossdifferentpriceranges,with65%ofpurchasesbelowNT$1,999.Overall,women
demonstratedhigheraveragespendingpertransactionthanmen.

13. Reasons for purchasing in live commerce by gender (choose all that apply)
51.1%
43.1%
32.4%
31.9%
25.0%
22.9%
17.0%
0.0%
56.8%
47.3%
35.1%
25.7%
23.0% 23.0%
21.6%
0.0%
47.4%
40.4%
30.7%
36.0%
26.3%
22.8%
14.0%
0.0%
0%
20%
40%
60%
Strong flash
promotion
Convenience in
purchase
Can ask questions
about products
Can view the
actual display of
products
(including effect) Interesting. Fun way to purchaseSave time Can interact with
the host
Others
Overall N=188Male N=74 Female N=114
9
© Eastern Online Co., Ltd.All Rights ReservedEOL Group Survey, N=1,000, 20-64 years old; conducted by: EOLembrainOnline Member Survey (August 2025)
The main reason for spending money on live commerce is the strong flash promotion
Men focus more on the flash promotion in live commerce, while
women like the actual product display.
Analyzingthereasonsforpurchasinginlivecommerce,“strongflashpromotion”isthemainreason(51%),which
indicatesthattheactualbenefitisstillthemainattractivenesstoconsumers.Thefollowingreasonsare“conveniencein
purchase”(43.1%),and“canaskquestionsaboutproducts”and“canviewtheactualdisplayofproducts.”
Intermsofgender,femaleconsumersaremorelikelytoviewtheactualdisplayofproducts(36.0%),whilemale
consumershaveahigherproportioninchoosing“stronglimitedpromotion”(56.8%).

14. 36.2%
61.2% 50.5%
35.1%
37.2%
48.9%
32.4%
31.9%
54.3%
43.6%
49.5%
25.0% 33.0%
45.7% 47.3%
31.9%
51.6%
52.1%
22.9%
36.7%
0%
20%
40%
60%
80%
100%
Be attracted by the
host
Live host can
present the
products rationally and professionallyHost has a friendly
live style
Host has a fast
pace
Host has high
interaction (call out name, send
gifts, etc.)
Products will be used directly on
live (wearing,
using, tasting, etc.)The design of the live is interestingOthers are also
buying
Frequent instant
discount
Snapping up the limited products
Strongly agree
Agree
Normal
Disagree
Strongly
disagree
3.47 3.78 3.76 3.56 3.48 3.64 3.50 3.33 3.89 3.68
When viewing live commerce, the factors to promote the consumption willingness
N=188
10
© Eastern Online Co., Ltd.All Rights ReservedEOL Group Survey, N=1,000, 20-64 years old; conducted by: EOLembrainOnline Member Survey (August 2025)
Frequent instant discount is the best way to stimulate the consumption willingness in live commerce
The friendly host with rational and professional product
presentation can earn more recognition.
Whenviewinglivecommerce,whatfactorscanpromotetheconsumptionwillingness?Theanalysisindicatesthatfrequent
instantdiscountsarethemosteffectivefactorinstimulatingconsumptionwillingness,achievingthehighestscoreof3.89on
a1-5scale.Theothertwofactorsrelatedtolivecommerceare“livehostcanpresenttheproductsrationallyand
professionally”(3.78)and“thehosthasafriendlylivestyle”(3.76).
Thefirstfactorwithalowerscoreis“Othersarealsobuying”(3.33),indicatingthatconsumersarerelativelylesslikelytobe
influencedbyconformity.Thesecondfactor,“beattractedbythehost”(3.47),suggeststhateventhoughthehostisfavorable,
consumerswillnotacceptalltheproductsrecommendedandwillstillconsidertheproductitselfbeforemakingapurchase.
Average
scale

15. Reasons for watching live commerce but not buying products by gender (choose all that apply)
46.5%
40.5%
37.8%
34.1%
24.3%
22.2%
18.9%
4.3%
47.1%
35.3%
44.1%
37.3%
14.7%
24.5%
22.5%
5.9%
45.8% 47.0%
30.1% 30.1%
36.1%
19.3%
14.5%
2.4%
0%
20%
40%
60%
Uncertainty of the
product quality
Live commerce is not
sufficient in judging the product quality
Worry about
exaggerating product
functions or benefits
by hosts
Worry about the fake
presentation of live
commerce
Be unfamiliar with the live commerce shopping process
Worry about not
being able to change or refund products or
having difficulty in
the process
The price is not
beneficial enoughOthers
Overall N=185 Male N=102 Female N=83
11
© Eastern Online Co., Ltd.All Rights ReservedEOL Group Survey, N=1,000, 20-64 years old; conducted by: EOLembrainOnline Member Survey (August 2025)
The main reason of not buying in live commerce is the uncertain product quality
Men worry about the exaggerated and fake function of products, while
women are not familiar with the live commerce shopping process.
Amongthereasonsforwatchinglivecommercebutnotbuyingproducts,thetoptwofactorsareconcernsover
productquality(46.5%)andinsufficientinformationtoassesstheproductevenafterwatchingthelive
commerce(40.5%).Bothfactorsarecloselyrelatedtoproductqualityassurance.Forlivecommerce,improving
productpresentationduringlivecommercesothatconsumerscaneffectivelyevaluateproductsandgraduallybuild
trustiskeytoincreasingpurchaselikelihood.
Genderdifferencesarealsoobserved.Menaremorelikelythanwomentoworrythatthehostmightexaggerate
productfunctionsorbenefits(44.1%)orprovidemisleadingorfalsifiedcontent(37.7%).Incontrast,womenmore
oftenreportunfamiliaritywiththelivecommerceshoppingprocess(36.1%)asareasonfornotpurchasing.

16. 12
© Eastern Online Co., Ltd.All Rights ReservedEOL Group Survey, N=1,000, 20-64 years old; conducted by: EOLembrainOnline Member Survey (August 2025)
Purchaseratesforinfluencergrouppurchase,influencer-sponsoredpromotions,andlivecommerceare24.7%,
14.5%,and10.4%inthepastyear
Inthepastyear,theproportionsofconsumerswhomadepurchasesthroughinfluencergrouppurchase,influencer-
sponsoredpromotions,andlivecommerceare24.7%,14.5%,and10.4%,respectively.Amongtheseemergingonline
shoppingpatterns,grouppurchaseshowsthehighestadoptionrate(24.7%),followedbysponsoredpromotions(14.5%)
andlivecommerce(10.4%).Furtheranalysisofgenderandagestructuresrevealsthatfemalesandconsumersaged
30–39demonstratedrelativelyhigherusagerates.Intermsofproductcategories,foodanddrinksaccountforthe
highestshareofpurchases,whilemaleconsumersshowsignificantlygreaterinterestinfreshproduceandagricultural
productscomparedwithfemaleconsumers.
About40%ofconsumershavewatchedlivecommerceinthepast3months,withShopeeastheleadingplatform
Approximately40%ofconsumersreportedwatchinglivecommerceinthepast3months,mostcommonly1–3times.
Shopeeisidentifiedastheleadingplatform,withmorethan60%ofviewersindicatingwatchinglivecommerceon
Shopee,followedbyFacebookandYouTube.Notably,amonge-commerceplatforms,Shopeefaroutperformedmomo
andPChome,underscoringitsdominantpositioninattractinglivecommerceaudiences.
Strongflashpromotionsandinstantdiscountsarethemosteffectivedriversofconsumerwillingnesstopurchase
duringlivecommerce
Theinstantbenefitsprovidedinlivecommerceareattractivetoconsumersandeffectivelystimulatetheirpurchase
willingness.Inaddition,livehostswhocanpresentproductsinarationalandprofessionalmanner,whilemaintaininga
friendlyandapproachablestyle,aremoresuccessfulinencouragingconsumerpurchases.
Inabilitytoverifyproductqualityistheprimaryreasonfornotpurchasingthroughlivecommerce,highlightingthe
importanceofbuildingconsumertrust.
Analysisofwhyconsumerschoosenottopurchaseafterwatchinglivecommerceshowsthatthemainreasonsare
uncertaintyaboutproductquality,followedbyconcernssuchas“worryabouttheexaggeratedandfakefunctionsof
products,”allofwhichrelatetotrust.Therefore,earningconsumertrustbecomestheprimarymarketinggoal.Potential
strategiesincludeofferinglower-pricedproductstolowertheentrybarrierforfirst-timebuyersorpromotingproducts
backedbyestablishedbrandstoeaseconsumerconcerns—bothofwhichcanhelpgraduallybuildtrustandencourage
long-termpurchasinghabits.
KEY TAKEAWAY Observation and Suggestion

17. PART 2
New consuming behavior following up
for the past 6 month
•Surveytotheusageratioofnewconsumingbehavior
•Consumer’sHotTopics
EOL Group Survey
Method: EOL Group -EOLembrainOnline Member Survey
Effective sample size: 1,000, 20-64 years old

18. Survey to the usage ratio of new consuming behavior
Online Payment usage slightly increased1
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: EOLembrainOnline Member Survey (March 2025 to August 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.
65.3%
25.4% 22.2%
12.1%
0%
20%
40%
60%
80%
Jun.May. Jul.Mar.Apr. Aug.
16.1%
34.0%
2.8%
23.9%
0%
15%
30%
45%
Jun.May. Jul.Mar.Apr. Aug.
Jun.May. Jul.Mar.Apr. Aug. Jun.May. Jul.Mar.Apr. Aug. Jun.May. Jul.Mar.Apr. Aug.
Jun.May. Jul.Mar.Apr. Aug. Jun.May. Jul.Mar.Apr. Aug. Jun.May. Jul.Mar.Apr. Aug.

19. 2Hot Topics Among Consumers
Whether it’s in person, via text message, or sharing on social media platforms, what topics did consumers proactivelyshare with
friends in past 6 months?
May.Jun.Jul.Aug.Mar.Apr.
Food
And
Dining
Investment and
Financial
Management
Shopping
and
Discount
DramaPolitics
International
Issues
Economy
EOL Group Survey, N=1,000, 20-64 years old，conducted by: EOLembrainOnline Member Survey (March 2025 to August 2025) © Eastern Online Co., Ltd
Pets
44.7%
35.9%
31.6%
28.7%
26.1%
23.5% 22.6%
17.3%
0%
20%
40%
60%
May.Jun.Jul.Aug.Mar.Apr. May.Jun.Jul.Aug.Mar.Apr. May.Jun.Jul.Aug.Mar.Apr. May.Jun.Jul.Aug.Mar.Apr. May.Jun.Jul.Aug.Mar.Apr. May.Jun.Jul.Aug.Mar.Apr. May.Jun.Jul.Aug.Mar.Apr.

20. EOL Group is outstanding in consumer
marketing research in Taiwan.
Withrichexpertiseinconsumermarket
research,EOLGrouphasdevelopedmassive
databasesandutilizesAItodeepenits
research,enablingittograspthereal
changesinindustriesandconsumers.
Companies in Taiwan Company in China

21. 37 years
96 thousand
household
1.4+
billion
200
thousand
Member of Macromill
Weekly index Asia
Annual Trend seminar
400
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

22. 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 offeredusing resources
of the Group
ABOUT US
Integrated Big
Database
Database of E-invoice Sales Volumes
Shopping Area Evaluation Analysis
Social Viewing and listening System

23. Services of EOL
E-ICP Lifestyle Database
AI Public Opinion Database
Real-time Online Surveys with
Real-name Authentication
Exclusive Five Major Database
Qualitative and Quantitative Project Research
Qualitative
Focus Group Interview
One-on-one Ind-depth
Interview
Quantitative (online & offline)
Online Survey/Telephone Interview/
Interview at Households
Central Location Test (CLT)
Database for Sales Volumes from all Channels
EOL Social Viewing and listening System
Modeling of Prediction Model for Consumer Purchase Behaviors
Real Estate Land Prices and Building Valuations
Research of Shopping Area
Integrated Big Data Analysis Services
Customized Reports
Workshop for Creation of Business Opportunities
Consultancy Service for Brands and Trends
Trend Reports Looking for Solutions
E-invoiceDatabase
Shopping Area Evaluation
Database

24. Thank You
Eastern Online Co., Ltd.,
7F., No. 306, Sec. 4, XinyiRd., DaanDist., Taipei City, Taiwan
※ Donotcite,distribute,reprint,copy,and/orreproduceany
and/orallpartsofthedataand/orfiguresinthisDocument
withoutpriorconsentofEOL
Amanda Li / VGM
Grace Su / VGM
Casper Wang / Director
Email：[email protected]
Email：[email protected]
Email：[email protected]
【Contacts for Business Cooperation】
Eastern Online Co., Ltd.：[phone]
HueiminShih / Marketing Director
Ellie Chen / Marketing Manager
【Press Contact 】
Email：[email protected]
Email：[email protected]
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