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CONNECTIONS
JOURNEY
DEVICES
DEMOGRAPHICS
&
REACH
PREFERENCE
2016 BRAZIL
O2O
CONSUMER
BEHAVIOR
REPORT
BACKGROUND
This is a brand new study that for the first time maps who are the O2O users
in Brazil, how often the O2O applications are being used and how the
Brazilian O2O users behave on smartphone.
The analysis addressed 2,500 mobile Internet users across the country , of
which 300 were being monitored in their digital habits for a period of 30 days.
And another 300 consumers were interviewed to find out which brands ,
applications and services are of their preference in each vertical or segment
of O2O.
The study was conducted in partnership with the ABO2O (Brazil Association of
O2O) and the market research specialist, NetQuest , over the months of
February and March 2016.
BASIC FACTS
DEMOGRAPHICS
A
B1
B2
C1
C2
MIDDLE-CLASS DOMINANCE: 54%
SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O
61% 39%
GIRLS RULE
4%
27%
43%
18%
6%
2%
15-19 20-24 25-34 35-44 45-54 55-64
MILLENNIALS LEAD: 74%
PENETRATION @
INITIAL STAGE
O2O Users
27%
Non-O2O
Users
73%
Annual Income A: Above R$ 214K Middle Class B1 and B2: R$ 116 to R$ 214K ; C1: R$37K to 52K C2: R$13K to R$57K D: Until R$ 13K
Based on 677 monitored O2O users
DEVICES & CONNECTIONS
SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O
60%40%
758K
Seconds
1,321,341MM
Seconds861K
Seconds
CONNECTION
97%
3%
69K
Seconds
2,119,822MM
Seconds
62%
38%
844K
Seconds
1,346, 415MM
Seconds
DEVICE
DEVICE OS
O2O OCCURS MORE WITH EARLY ADOPTERS, LIKELY USING ON 3/4G
Usage measured on march 2016
86%
14%
IOS
Users
Android
Users
By time
By user
By time
By time
Based on 677 monitored O2O users
REACH AMONG O2O USERS
reach
SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O
GROUP BUYING LEADING, FOLLOWED BY
HI-FREQUENCY O2O APPS
121 120
108
90
83 79
54
30 26 23 22 19
13 10 10 8 8 8 7 7 5 4 4 4 3 3 3 3 2 2 2 2 1 1 1 1
20% 20%
18%
15%
14%
13%
9%
5%
4% 4% 4% 3%
2% 2% 2% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 0% 0% 0% 0% 0% 0% 0% 0%
Based on 677 monitored O2O users
PREFERENCES
TICKETS
in %
PREFERENCES
20
15.5
2.7
1.2
Ingresso.com Ingresso
Rápido
Ticket 360 Ingresse.com
in %
in %
37.3
5.7 3.9
Ifood Pedidos Já Hello Food
FOOD
DELIVERY
54.1
40.8
5.1
De R$ 10 reais a R$
50 reais.
De R$ 51 reais a R$
100 reais
De R$ 101 reais
para mais.
45.5
57.6
41.7
6.8
Cost Eficiency User
Experience
Other
Reason
56.8
37.1
6.1
De R$ 10 reais a
R$ 50reais.
De R$ 51 reais a
R$ 100 reais
De R$ 101 reais
para mais
56
38 40
8
Cost Eficiency User
Experience
Other
Reason
OTA
18.8
8.4 8.4 8.4
2.4
0.6 0.6 0.3 0.3
Decolar Hotel Urbano Trivago Submarino
Viagens
Booking.com SkyScanner Kayak Hotels.com Expedia
66.5
50.9
31.7
4.3
Cost Eficiency User
Experience
Other
Reason
55.3
29.2
10.6
5
R$ 100 reais a
R$ 500 reais
R$ 501 reais a
R$ 1000 reais
R$ 1001 reais a
R$ 2000 reais
R$ 2001 reais
above
Player Preference Reason to Use Average Spending
Player Preference Reason to Use Average Spending
Player Preference Reason to Use Average Spending
SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O
LEADER
DEFINED
FIRST
CONCERN
All tickets players: Movie + Entertainment
All OTA players: Hotel, Flight & Meta Search
Based on 325 interviewed O2O users
TRANSPORT
in %
in %
in %
GROUP
BUYING
MOTO
DELIVERY
Player Preference Reason to Use Average Spending
Player Preference Reason to Use Average Spending
Player Preference Reason to Use Average Spending
20
15.8
8.7
1.8 0.6
99 Taxis Uber Easy Taxi Vá de Taxi Wappa
28.7
23.3
Peixe Urbano Groupon
3.9
3
2.4
2.1 2.1
Mobly Boy Easy Deliver Loggi Rapiddo 99 Motos
47.1
64.3
40.8
7
Cost Eficiency User
Experience
Other
Reason
37.8
62.2
35.6
8.9
Cost Eficiency User
Experience
Other
Reason
72
24.2
3.8
R$ 10 a R$ 50
reais.
R$ 51 a R$ 100
reais
R$ 101 reais
above
30.5
42.5
12.6 9.2
5.2
R$ 10 -50
reais.
R$ 51-100
reais
R$ 101 -200
reais
R$ 201-300
reais
R$ 301 reais
para mais
62.2
22.2
8.9 6.7
R$ 10 a R$ 50
reais.
R$ 51 a R$
100 reais
R$ 101 a R$
200 reais
R$ 201 a R$
300 reais
76.4
36.8 33.9
5.7
Cost Eficiency User
Experience
Other
Reason
SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O
FIRST
CONCERN
FIRST
CONCERN
FIRST
CONCERN
PREFERENCES
Based on 325 interviewed O2O users
BEAUTY
in %
in %
in %
WEDDING
HOME
IMPROVEMENT
Player Preference Reason to Use Average Spending
Player Preference Reason to Use Average Spending
Player Preference Reason to Use Average Spending
9
4.5
2.1
Casamentos.com.br ICasei Emotion.me
7.2
5.4
2.1
Vaniday Trinks Singu
6.9
1.8
3.6
1.5
Get Ninjas Iguana Fix Parafuzo Blumpa
39.1 41.3
50
15.2
Cost Eficiency User
Experience
Other
Reason
40.8
46.9
53.1
10.2
Cost Eficiency User
Experience
Other
Reason
36.7 32.7
18.4
6.1 6.1
R$ 10-50
reais
R$ 51-100
reais
R$ 101- 200
reais
R$ 201 -300
reais
R$ 301 reais
above
23.9
41.3
21.7
10.9
2.2
R$ 10-50
reais
R$ 51-100
reais
R$ 101- 200
reais
R$ 201 -300
reais
R$ 301 reais
above
44.2
48.1
44.2
23.1
Cost Eficiency User
Experience
Other
Reason
SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O
LEADER
BEING
DEFINED
ALL FACTORS
ALL FACTORS
ALL FACTORS
PREFERENCES
Based on 325 interviewed O2O users
FOOD
DISCOUNT
in %
in %
in %
TRUCK
LOGISTIC
HEALTH
Player Preference Reason to Use Average Spending
Player Preference Reason to Use Average Spending
Player Preference Reason to Use Average Spending
4.5
3
1.8
1.5
0.6
TruckPad Zumm FreteBras Quero Frente Sontra
5.7 5.4
3.9
Restorando Grubster ChefsClub
6.9
6.3
1.8
1.2
Help Saúde Easy Doctor Boa Consulta Medicinia
56
38 40
8
Cost Eficiency User
Experience
Other
Reason
37
57.4 57.4
9.3
Cost Eficiency User
Experience
Other
Reason
46
30
16
6
2
R$ 10-50
reais
R$ 51 -100
reais
R$ 101-200
reais
R$ 201- 300
reais
R$ 301 reais
aboce
N/A
31.6
39.5 39.5
23.7
Cost Eficiency User
Experience
Other
Reason
SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O
N/A
FIRST
CONCERN
FIRST
CONCERN
PREFERENCES
Based on 325 interviewed O2O users
ALL FACTORS
SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O
31
19.7
42.7
47.2
40.9
4.7
17.5
7.2
10.7 10.6
20.6 18.9 19.9
OTA TAXI FOOD GROUP BUYING TICKETS TRUCK TABLE
RESERVATION
MOTO HOME
IMPROVEMENT
WEDDING BEUATY MARKET HEALTH
in %
INTERESTED
IN
O2O APP
NOT YET
INSTALLED
SOLID INTEREST
PREFERENCES
Based on 325 interviewed O2O users
JOURNEY
12 AM 1 AM 2 AM 3 AM 4 AM 5 AM 6 AM 7 AM 8 AM 9 AM 10 AM 11 AM 12 PM 1 PM 2 PM 3 PM 4 PM 5 PM 6 PM 7 PM 8 PM 9 PM 10 PM 11 PM
TRANSPORT
FOOD
DELIVERY
TICKETS
SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O
USER JOURNEY BY TIME
WHEN FREE TIME AVAILABLE
DINNER–DRIVEN, NO SOLID HABIT YET DURING LUNCH TIME
PRETTY BALANCED AFTER 7AM
Based on 300 monitored O2O users for 30 days
12 AM 1 AM 2 AM 3 AM 4 AM 5 AM 6 AM 7 AM 8 AM 9 AM 10 AM 11 AM 12 PM 1 PM 2 PM 3 PM 4 PM 5 PM 6 PM 7 PM 8 PM 9 PM 10 PM 11 PM
OTA
GROUP
BUYING
PLANS BEFORE BIZ HOURS, LUNCH TIME & BED TIME
BUYS DURING LUNCH TIME & AFTER DINNER
SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O
USER JOURNEY BY TIMEBased on 300 monitored O2O users for 30 days
USER JOURNEY BY SEQUENCE
BEFORE AFTEROTA
Most apps accessed descending order Most apps accessed descending order
LOOKS FOR SOLUTION ON THE WEB LOOKING FOR OTHER ALTERNATIVES OR
ONLINE CHECK-IN
LOOKS FOR DESTINATION/HOTEL INFOOPINION ALIGNMENT
PARTNERSHIPBRANDINGSEO
PARTNERSHIP INFO INTEGRATION
REASON
OPPORTUNITY
REASON
OPPORTUNITY
OPINION ALIGNMENT
Based on 300 monitored O2O users for 30 days
BEFORE AFTERTRANSPORT
Most apps accessed descending order Most apps accessed descending order
SERVICE COMPARISON TASKS @ DESTINATION
TASKS @ DESTINATION
PURPOSE
AGENDA INTEGRATIONBRANDINGPARTNERSHIP
BRANDING AGENDA INTEGRATION
SERVICE COMPARISON
REASON
OPPORTUNITY
REASON
OPPORTUNITY
USER JOURNEY BY SEQUENCE
Based on 300 monitored O2O users for 30 days
DRIVING
DIRECTIONS
SERVICE
COMPARISON
USER JOURNEY BY SEQUENCE
BEFORE AFTER
GROUP
BUYING
Most apps accessed descending order Most apps accessed descending order
MUSIC LOVER?
INTEGRATIONPARTNERSHIP
BRANDING
REASON
OPPORTUNITY
REASON
OPPORTUNITY
Based on 300 monitored O2O users for 30 days
SHOWOFF
PARTNERSHIP
USER JOURNEY BY SEQUENCE
TICKETS
Most apps accessed descending order
BEFORE

AFTER
Most apps accessed descending order
EN ROUTE TO
SEE A MOVIE TRAILER WATCHING?
TRAILER
WATCHING?
TRAILER
WATCHING?
PARTNERSHIP PARTNERSHIP
PARTNERSHIP PARTNERSHIP
REASON
OPPORTUNITY
REASON
OPPORTUNITY
Based on 300 monitored O2O users for 30 days
BEFORE AFTER
Most apps accessed descending order Most apps accessed descending order
FOOD
DELIVERY
SERVICE
COMPARISON
LOOKS FOR SOLUTION ON THE WEB & APP STORE
YOUNG & SHOWOFF
PARTNERSHIPBRANDING
BRANDING
SHOWOFF
USER JOURNEY BY SEQUENCE
REASON
OPPORTUNITY
REASON
OPPORTUNITY
Based on 300 monitored O2O users for 30 days
SHARING
BEFORE AFTERHOME IMPROVEMENT
Most apps accessed descending orderMost apps accessed descending order
USER JOURNEY BY SEQUENCE
SERVICE
COMPARISON
COMMUNICATION
INTEGRATIONBRANDING
REASON
OPPORTUNITY
Based on 300 monitored O2O users for 30 days
INSIGHTS
O2O PERSONA
NOME Alice
AGE 25, single
PROFESSION Office clerk, 3 years so far
DIGITAL LIFE Using Samsung J5, on a pre-paid 2GB data plan
PERSONALITY Music lover, active in social & dreaming of
having her own business one day
O2O HABIT
• She checks at her leisure time to see interesting promotions @ Group Buying
players
• Whenever visiting client outside, she always uses app of Transport., of which she
knows clearly the options.
• She buys movie ticket on the cell phone inside of Taxi on her way to the cinema.
• Friday evening, she intends to cut some slack and order a pizza via iFood, later
post a photo to amuse her friends
• She is curious and would like to test other services by app, if available.
INSIGHTSFinal considerations about key study
O2O service penetration is still pretty low and at its initial stage. But interest is concrete.
Middle-class, young, female, mid-end smartphone users are O2O early adopters.
Group-Buying, Movie Ticket, Taxi, Food Delivery & OTA are the most popular categories.
In Food Delivery we have dominant leader, other categories still fragmented.
In Group-Buying & Food, price is the key factor. In other categories challenges are various.
Most O2O service have unique peak consumption hours, use it wisely to drive purchase decision.
Cross-selling is the future, build up more partnership to sell more or deliver better experiences
Attached 3 spreadsheet:s for deep analysis: 1. User Journey 2. General Panel 3. Users Preference Survey

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2016 Brazil O2O Consumer Behavior Report

  • 2. BACKGROUND This is a brand new study that for the first time maps who are the O2O users in Brazil, how often the O2O applications are being used and how the Brazilian O2O users behave on smartphone. The analysis addressed 2,500 mobile Internet users across the country , of which 300 were being monitored in their digital habits for a period of 30 days. And another 300 consumers were interviewed to find out which brands , applications and services are of their preference in each vertical or segment of O2O. The study was conducted in partnership with the ABO2O (Brazil Association of O2O) and the market research specialist, NetQuest , over the months of February and March 2016.
  • 4. DEMOGRAPHICS A B1 B2 C1 C2 MIDDLE-CLASS DOMINANCE: 54% SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O 61% 39% GIRLS RULE 4% 27% 43% 18% 6% 2% 15-19 20-24 25-34 35-44 45-54 55-64 MILLENNIALS LEAD: 74% PENETRATION @ INITIAL STAGE O2O Users 27% Non-O2O Users 73% Annual Income A: Above R$ 214K Middle Class B1 and B2: R$ 116 to R$ 214K ; C1: R$37K to 52K C2: R$13K to R$57K D: Until R$ 13K Based on 677 monitored O2O users
  • 5. DEVICES & CONNECTIONS SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O 60%40% 758K Seconds 1,321,341MM Seconds861K Seconds CONNECTION 97% 3% 69K Seconds 2,119,822MM Seconds 62% 38% 844K Seconds 1,346, 415MM Seconds DEVICE DEVICE OS O2O OCCURS MORE WITH EARLY ADOPTERS, LIKELY USING ON 3/4G Usage measured on march 2016 86% 14% IOS Users Android Users By time By user By time By time Based on 677 monitored O2O users
  • 6. REACH AMONG O2O USERS reach SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O GROUP BUYING LEADING, FOLLOWED BY HI-FREQUENCY O2O APPS 121 120 108 90 83 79 54 30 26 23 22 19 13 10 10 8 8 8 7 7 5 4 4 4 3 3 3 3 2 2 2 2 1 1 1 1 20% 20% 18% 15% 14% 13% 9% 5% 4% 4% 4% 3% 2% 2% 2% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 1% 0% 0% 0% 0% 0% 0% 0% 0% Based on 677 monitored O2O users
  • 8. TICKETS in % PREFERENCES 20 15.5 2.7 1.2 Ingresso.com Ingresso Rápido Ticket 360 Ingresse.com in % in % 37.3 5.7 3.9 Ifood Pedidos Já Hello Food FOOD DELIVERY 54.1 40.8 5.1 De R$ 10 reais a R$ 50 reais. De R$ 51 reais a R$ 100 reais De R$ 101 reais para mais. 45.5 57.6 41.7 6.8 Cost Eficiency User Experience Other Reason 56.8 37.1 6.1 De R$ 10 reais a R$ 50reais. De R$ 51 reais a R$ 100 reais De R$ 101 reais para mais 56 38 40 8 Cost Eficiency User Experience Other Reason OTA 18.8 8.4 8.4 8.4 2.4 0.6 0.6 0.3 0.3 Decolar Hotel Urbano Trivago Submarino Viagens Booking.com SkyScanner Kayak Hotels.com Expedia 66.5 50.9 31.7 4.3 Cost Eficiency User Experience Other Reason 55.3 29.2 10.6 5 R$ 100 reais a R$ 500 reais R$ 501 reais a R$ 1000 reais R$ 1001 reais a R$ 2000 reais R$ 2001 reais above Player Preference Reason to Use Average Spending Player Preference Reason to Use Average Spending Player Preference Reason to Use Average Spending SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O LEADER DEFINED FIRST CONCERN All tickets players: Movie + Entertainment All OTA players: Hotel, Flight & Meta Search Based on 325 interviewed O2O users
  • 9. TRANSPORT in % in % in % GROUP BUYING MOTO DELIVERY Player Preference Reason to Use Average Spending Player Preference Reason to Use Average Spending Player Preference Reason to Use Average Spending 20 15.8 8.7 1.8 0.6 99 Taxis Uber Easy Taxi Vá de Taxi Wappa 28.7 23.3 Peixe Urbano Groupon 3.9 3 2.4 2.1 2.1 Mobly Boy Easy Deliver Loggi Rapiddo 99 Motos 47.1 64.3 40.8 7 Cost Eficiency User Experience Other Reason 37.8 62.2 35.6 8.9 Cost Eficiency User Experience Other Reason 72 24.2 3.8 R$ 10 a R$ 50 reais. R$ 51 a R$ 100 reais R$ 101 reais above 30.5 42.5 12.6 9.2 5.2 R$ 10 -50 reais. R$ 51-100 reais R$ 101 -200 reais R$ 201-300 reais R$ 301 reais para mais 62.2 22.2 8.9 6.7 R$ 10 a R$ 50 reais. R$ 51 a R$ 100 reais R$ 101 a R$ 200 reais R$ 201 a R$ 300 reais 76.4 36.8 33.9 5.7 Cost Eficiency User Experience Other Reason SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O FIRST CONCERN FIRST CONCERN FIRST CONCERN PREFERENCES Based on 325 interviewed O2O users
  • 10. BEAUTY in % in % in % WEDDING HOME IMPROVEMENT Player Preference Reason to Use Average Spending Player Preference Reason to Use Average Spending Player Preference Reason to Use Average Spending 9 4.5 2.1 Casamentos.com.br ICasei Emotion.me 7.2 5.4 2.1 Vaniday Trinks Singu 6.9 1.8 3.6 1.5 Get Ninjas Iguana Fix Parafuzo Blumpa 39.1 41.3 50 15.2 Cost Eficiency User Experience Other Reason 40.8 46.9 53.1 10.2 Cost Eficiency User Experience Other Reason 36.7 32.7 18.4 6.1 6.1 R$ 10-50 reais R$ 51-100 reais R$ 101- 200 reais R$ 201 -300 reais R$ 301 reais above 23.9 41.3 21.7 10.9 2.2 R$ 10-50 reais R$ 51-100 reais R$ 101- 200 reais R$ 201 -300 reais R$ 301 reais above 44.2 48.1 44.2 23.1 Cost Eficiency User Experience Other Reason SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O LEADER BEING DEFINED ALL FACTORS ALL FACTORS ALL FACTORS PREFERENCES Based on 325 interviewed O2O users
  • 11. FOOD DISCOUNT in % in % in % TRUCK LOGISTIC HEALTH Player Preference Reason to Use Average Spending Player Preference Reason to Use Average Spending Player Preference Reason to Use Average Spending 4.5 3 1.8 1.5 0.6 TruckPad Zumm FreteBras Quero Frente Sontra 5.7 5.4 3.9 Restorando Grubster ChefsClub 6.9 6.3 1.8 1.2 Help Saúde Easy Doctor Boa Consulta Medicinia 56 38 40 8 Cost Eficiency User Experience Other Reason 37 57.4 57.4 9.3 Cost Eficiency User Experience Other Reason 46 30 16 6 2 R$ 10-50 reais R$ 51 -100 reais R$ 101-200 reais R$ 201- 300 reais R$ 301 reais aboce N/A 31.6 39.5 39.5 23.7 Cost Eficiency User Experience Other Reason SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O N/A FIRST CONCERN FIRST CONCERN PREFERENCES Based on 325 interviewed O2O users ALL FACTORS
  • 12. SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O 31 19.7 42.7 47.2 40.9 4.7 17.5 7.2 10.7 10.6 20.6 18.9 19.9 OTA TAXI FOOD GROUP BUYING TICKETS TRUCK TABLE RESERVATION MOTO HOME IMPROVEMENT WEDDING BEUATY MARKET HEALTH in % INTERESTED IN O2O APP NOT YET INSTALLED SOLID INTEREST PREFERENCES Based on 325 interviewed O2O users
  • 14. 12 AM 1 AM 2 AM 3 AM 4 AM 5 AM 6 AM 7 AM 8 AM 9 AM 10 AM 11 AM 12 PM 1 PM 2 PM 3 PM 4 PM 5 PM 6 PM 7 PM 8 PM 9 PM 10 PM 11 PM TRANSPORT FOOD DELIVERY TICKETS SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O USER JOURNEY BY TIME WHEN FREE TIME AVAILABLE DINNER–DRIVEN, NO SOLID HABIT YET DURING LUNCH TIME PRETTY BALANCED AFTER 7AM Based on 300 monitored O2O users for 30 days
  • 15. 12 AM 1 AM 2 AM 3 AM 4 AM 5 AM 6 AM 7 AM 8 AM 9 AM 10 AM 11 AM 12 PM 1 PM 2 PM 3 PM 4 PM 5 PM 6 PM 7 PM 8 PM 9 PM 10 PM 11 PM OTA GROUP BUYING PLANS BEFORE BIZ HOURS, LUNCH TIME & BED TIME BUYS DURING LUNCH TIME & AFTER DINNER SOURCE: NetQuest | Baidu Brasil | Associação Brasileira de O2O USER JOURNEY BY TIMEBased on 300 monitored O2O users for 30 days
  • 16. USER JOURNEY BY SEQUENCE BEFORE AFTEROTA Most apps accessed descending order Most apps accessed descending order LOOKS FOR SOLUTION ON THE WEB LOOKING FOR OTHER ALTERNATIVES OR ONLINE CHECK-IN LOOKS FOR DESTINATION/HOTEL INFOOPINION ALIGNMENT PARTNERSHIPBRANDINGSEO PARTNERSHIP INFO INTEGRATION REASON OPPORTUNITY REASON OPPORTUNITY OPINION ALIGNMENT Based on 300 monitored O2O users for 30 days
  • 17. BEFORE AFTERTRANSPORT Most apps accessed descending order Most apps accessed descending order SERVICE COMPARISON TASKS @ DESTINATION TASKS @ DESTINATION PURPOSE AGENDA INTEGRATIONBRANDINGPARTNERSHIP BRANDING AGENDA INTEGRATION SERVICE COMPARISON REASON OPPORTUNITY REASON OPPORTUNITY USER JOURNEY BY SEQUENCE Based on 300 monitored O2O users for 30 days
  • 18. DRIVING DIRECTIONS SERVICE COMPARISON USER JOURNEY BY SEQUENCE BEFORE AFTER GROUP BUYING Most apps accessed descending order Most apps accessed descending order MUSIC LOVER? INTEGRATIONPARTNERSHIP BRANDING REASON OPPORTUNITY REASON OPPORTUNITY Based on 300 monitored O2O users for 30 days SHOWOFF PARTNERSHIP
  • 19. USER JOURNEY BY SEQUENCE TICKETS Most apps accessed descending order BEFORE AFTER Most apps accessed descending order EN ROUTE TO SEE A MOVIE TRAILER WATCHING? TRAILER WATCHING? TRAILER WATCHING? PARTNERSHIP PARTNERSHIP PARTNERSHIP PARTNERSHIP REASON OPPORTUNITY REASON OPPORTUNITY Based on 300 monitored O2O users for 30 days
  • 20. BEFORE AFTER Most apps accessed descending order Most apps accessed descending order FOOD DELIVERY SERVICE COMPARISON LOOKS FOR SOLUTION ON THE WEB & APP STORE YOUNG & SHOWOFF PARTNERSHIPBRANDING BRANDING SHOWOFF USER JOURNEY BY SEQUENCE REASON OPPORTUNITY REASON OPPORTUNITY Based on 300 monitored O2O users for 30 days SHARING
  • 21. BEFORE AFTERHOME IMPROVEMENT Most apps accessed descending orderMost apps accessed descending order USER JOURNEY BY SEQUENCE SERVICE COMPARISON COMMUNICATION INTEGRATIONBRANDING REASON OPPORTUNITY Based on 300 monitored O2O users for 30 days
  • 23. O2O PERSONA NOME Alice AGE 25, single PROFESSION Office clerk, 3 years so far DIGITAL LIFE Using Samsung J5, on a pre-paid 2GB data plan PERSONALITY Music lover, active in social & dreaming of having her own business one day O2O HABIT • She checks at her leisure time to see interesting promotions @ Group Buying players • Whenever visiting client outside, she always uses app of Transport., of which she knows clearly the options. • She buys movie ticket on the cell phone inside of Taxi on her way to the cinema. • Friday evening, she intends to cut some slack and order a pizza via iFood, later post a photo to amuse her friends • She is curious and would like to test other services by app, if available.
  • 24. INSIGHTSFinal considerations about key study O2O service penetration is still pretty low and at its initial stage. But interest is concrete. Middle-class, young, female, mid-end smartphone users are O2O early adopters. Group-Buying, Movie Ticket, Taxi, Food Delivery & OTA are the most popular categories. In Food Delivery we have dominant leader, other categories still fragmented. In Group-Buying & Food, price is the key factor. In other categories challenges are various. Most O2O service have unique peak consumption hours, use it wisely to drive purchase decision. Cross-selling is the future, build up more partnership to sell more or deliver better experiences Attached 3 spreadsheet:s for deep analysis: 1. User Journey 2. General Panel 3. Users Preference Survey