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Dialing up Mobile
Research with
Behavioral Data
Roddy Knowles
Sr. Delivery Manager, Mobile
Research Expert
Smartphones Are Used Everywhere

2
Can This Be Dangerous?

3
Mobile Screen Time Continues To Rise

4
What Is Meant By “Mobile” Today?
Which devices?

5
US

Census vs. Mobile and Brand Demos
Census
49% 50%

Mobile

51% 50%

25%

25%
17%

20%

18%

23%
12%

15%

12%

15%
4%

Male

Brand

Female

6%

4% 5%

Less than $25K25K - $49K$50K - $74K$75K - $99K100K - $149K
$
$
$150K - $199K $200K+

Gender

Income

Male

Female

< $25K

$25K $49K

$50K $74K

$75K $99K

$100K $149K

$150K $199K

$200K+

Android

57%

39%

53%

56%

48%

37%

44%

23%

24%

iPhone

33%

50%

32%

37%

43%

50%

44%

63%

70%

Blackberry

3%

3%

1%

3%

4%

4%

4%

8%

4%

Windows

3%

2%

2%

3%

1%

4%

4%

2%

-

Other

5%

7%

12%

3%

4%

5%

4%

4%

3%

6
US

Census vs. Mobile and Brand Demos
Census

Mobile
72%73%

33%
29%
13%13%

18 - 24

Brand

18%18%

25 - 34

18%19%

35 - 44

19%20%

45 - 54

16%15%

55+

Hispanic

13%15%

Caucasian

Age

Black

5% 6%

9%

6%

Asian

Other

Black

Asian

Other

Ethnicity

18-24

25-34

35-44

45-54

55+

Hispanic Caucasian

Android

51%

54%

54%

45%

40%

59%

42%

57%

53%

74%

iPhone

43%

42%

36%

39%

45%

28%

47%

30%

35%

19%

Blackberry

2%

1%

2%

5%

5%

5%

3%

8%

-

2%

Windows

2%

2%

4%

4%

0%

3%

2%

2%

8%

2%

Other

2%

1%

5%

7%

9%

6%

7%

4%

4%

3%

7
What Is Captured

2

Primary Mobile Platforms

7

Types of Data Collected Passively

Location: GPS
Apps: usage
Phone calls: incoming, outgoing, missed, duration
Text/SMS Messages: sent, received
Email: sent, received
Web: URL/websites visited
Camera: usage

8
What Can Be Done With…
Location Data (GPS)

 Target and push
surveys
 Derive location
type
(e.g. home, work)

 Filter behavioral
data by location

Considerations(GPS)
Considerations
• Not everyone is trackable
• GPS accuracy: Satellite vs.
Network
 Not everyone is
trackable
• Type and frequency of
 Type and frequency of
communication
communication and
fencing

 Advanced
analytics

9
What Can Be Done With…
App Data

Considerations(GPS)
Considerations
• Not everyone is trackable

 Survey targeting
based on usage
 Measure
“stickiness”
 Slice and dice

• GPS accuracy: Satellite vs.
Network
 Foreground or
background usage passive or “active”
• Type and frequency of
communication
 Data structure and
size

10
What Can Be Done With…
Web/URL Data

 Track
websites/URLs
visited
 Aggregate – top
sites by
domain/property,
category

Considerations(GPS)
Considerations
• Not everyone is trackable
• GPS accuracy: Satellite vs.
Network
 What is and isn’t
captured
• Type and frequency of
communication
 How much granularity
is needed

 Compare website
usage vs. app
usage

11
What Can Be Done With…
Text, Music, Email, Camera
Data

 Track ingoing and
outgoing
communications
 Log Camera
usage

 Capture specific
details of music
played

Considerations(GPS)
Considerations
• Not everyone is trackable
• GPS accuracy: Satellite vs.
 Music listening varies
Network
by platform
• Type and frequency of
 Boolean capture
communication
 When content is
important, ask

12
What This Means for Research
Behavioral data stands alone…
or hand in hand with other data points
On its own/
Aggregated

• Key indicators
and measures
• Trend spotting

Sliced and diced

Combined with
survey data

• Place and time

• Stated vs. actual

• Demographics

• Trust but verify

• Attitudes and
behaviors

• Understand the
“why”

13
Aggregated Behavioral Data
Top Level Report on User Activity

December 2013
Summary Report of US
Mobile Users

14
Website Visitation
December, 2013
Top 10 Most Visited
Websites

Top 10 Websites with
the Most Unique Visits

1.

google.com

1.

google.com

2.

facebook.com

2.

facebook.com

3.

amazon.com

3.

amazon.com

4.

wikipedia.org

4.

yahoo.com

5.

youtube.com

5.

wikipedia.org

6.

walmart.com

6.

youtube.com

7.

ebay.com

7.

ebay.com

8.

answers.yahoo.com

8.

espn.go.com

9.

twitter.com

9.

accuweather.com

10.

walmart.com

10. ups.com

Designates website ranks in top 10 for most visits and unique visits.

15
App Usage
December, 2013
Top 8 App Categories Used
% Reach
Communications

29

Average
Number of
Apps Used
Per Day

Social Media

155%

Email

124%

App Stores

4

App
Categories
w/ 100%+
Reach

160%

100%

Music

80%

Streaming Video

76%

Mapping & Nav.

70%

Shopping

42%

16
App and Web Usage
December 2013

17
Behavioral & Survey Data Combined
In-store Phone Usage

Grocery shoppers’
phone usage was
captured, verified, and
contextualized.

18
Shopper Profile
Suzy Shopper
Stop &
Shop –
March
28, 2013

Female,
38, Marri
ed

Stock Up
Trip,
46-60
Minutes

$96
Phone, E
mail, Ret
ailer App
Coupon
Used
19
App Usage
Stated and Actual

Types of Apps Used

Text/SMS

Phone

Social

31%
25%

24%

Shopping/
Retail

Games

21%
13%

16%

12%

14%

11%
5%

Stated

Actual
20
App Usage
What & Why

39%
46%

Call about
a purchase

Message about
a purchase

What did you
buy?

21
App Usage
What & Why

Shopping List

83%

Coupon

45%

Compare Prices

41%

22
23
Thank you!

Roddy Knowles

roknowles@researchnow.com

24

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Dialing up Mobile Research with Behavioral Data

  • 1. Dialing up Mobile Research with Behavioral Data Roddy Knowles Sr. Delivery Manager, Mobile Research Expert
  • 2. Smartphones Are Used Everywhere 2
  • 3. Can This Be Dangerous? 3
  • 4. Mobile Screen Time Continues To Rise 4
  • 5. What Is Meant By “Mobile” Today? Which devices? 5
  • 6. US Census vs. Mobile and Brand Demos Census 49% 50% Mobile 51% 50% 25% 25% 17% 20% 18% 23% 12% 15% 12% 15% 4% Male Brand Female 6% 4% 5% Less than $25K25K - $49K$50K - $74K$75K - $99K100K - $149K $ $ $150K - $199K $200K+ Gender Income Male Female < $25K $25K $49K $50K $74K $75K $99K $100K $149K $150K $199K $200K+ Android 57% 39% 53% 56% 48% 37% 44% 23% 24% iPhone 33% 50% 32% 37% 43% 50% 44% 63% 70% Blackberry 3% 3% 1% 3% 4% 4% 4% 8% 4% Windows 3% 2% 2% 3% 1% 4% 4% 2% - Other 5% 7% 12% 3% 4% 5% 4% 4% 3% 6
  • 7. US Census vs. Mobile and Brand Demos Census Mobile 72%73% 33% 29% 13%13% 18 - 24 Brand 18%18% 25 - 34 18%19% 35 - 44 19%20% 45 - 54 16%15% 55+ Hispanic 13%15% Caucasian Age Black 5% 6% 9% 6% Asian Other Black Asian Other Ethnicity 18-24 25-34 35-44 45-54 55+ Hispanic Caucasian Android 51% 54% 54% 45% 40% 59% 42% 57% 53% 74% iPhone 43% 42% 36% 39% 45% 28% 47% 30% 35% 19% Blackberry 2% 1% 2% 5% 5% 5% 3% 8% - 2% Windows 2% 2% 4% 4% 0% 3% 2% 2% 8% 2% Other 2% 1% 5% 7% 9% 6% 7% 4% 4% 3% 7
  • 8. What Is Captured 2 Primary Mobile Platforms 7 Types of Data Collected Passively Location: GPS Apps: usage Phone calls: incoming, outgoing, missed, duration Text/SMS Messages: sent, received Email: sent, received Web: URL/websites visited Camera: usage 8
  • 9. What Can Be Done With… Location Data (GPS)  Target and push surveys  Derive location type (e.g. home, work)  Filter behavioral data by location Considerations(GPS) Considerations • Not everyone is trackable • GPS accuracy: Satellite vs. Network  Not everyone is trackable • Type and frequency of  Type and frequency of communication communication and fencing  Advanced analytics 9
  • 10. What Can Be Done With… App Data Considerations(GPS) Considerations • Not everyone is trackable  Survey targeting based on usage  Measure “stickiness”  Slice and dice • GPS accuracy: Satellite vs. Network  Foreground or background usage passive or “active” • Type and frequency of communication  Data structure and size 10
  • 11. What Can Be Done With… Web/URL Data  Track websites/URLs visited  Aggregate – top sites by domain/property, category Considerations(GPS) Considerations • Not everyone is trackable • GPS accuracy: Satellite vs. Network  What is and isn’t captured • Type and frequency of communication  How much granularity is needed  Compare website usage vs. app usage 11
  • 12. What Can Be Done With… Text, Music, Email, Camera Data  Track ingoing and outgoing communications  Log Camera usage  Capture specific details of music played Considerations(GPS) Considerations • Not everyone is trackable • GPS accuracy: Satellite vs.  Music listening varies Network by platform • Type and frequency of  Boolean capture communication  When content is important, ask 12
  • 13. What This Means for Research Behavioral data stands alone… or hand in hand with other data points On its own/ Aggregated • Key indicators and measures • Trend spotting Sliced and diced Combined with survey data • Place and time • Stated vs. actual • Demographics • Trust but verify • Attitudes and behaviors • Understand the “why” 13
  • 14. Aggregated Behavioral Data Top Level Report on User Activity December 2013 Summary Report of US Mobile Users 14
  • 15. Website Visitation December, 2013 Top 10 Most Visited Websites Top 10 Websites with the Most Unique Visits 1. google.com 1. google.com 2. facebook.com 2. facebook.com 3. amazon.com 3. amazon.com 4. wikipedia.org 4. yahoo.com 5. youtube.com 5. wikipedia.org 6. walmart.com 6. youtube.com 7. ebay.com 7. ebay.com 8. answers.yahoo.com 8. espn.go.com 9. twitter.com 9. accuweather.com 10. walmart.com 10. ups.com Designates website ranks in top 10 for most visits and unique visits. 15
  • 16. App Usage December, 2013 Top 8 App Categories Used % Reach Communications 29 Average Number of Apps Used Per Day Social Media 155% Email 124% App Stores 4 App Categories w/ 100%+ Reach 160% 100% Music 80% Streaming Video 76% Mapping & Nav. 70% Shopping 42% 16
  • 17. App and Web Usage December 2013 17
  • 18. Behavioral & Survey Data Combined In-store Phone Usage Grocery shoppers’ phone usage was captured, verified, and contextualized. 18
  • 19. Shopper Profile Suzy Shopper Stop & Shop – March 28, 2013 Female, 38, Marri ed Stock Up Trip, 46-60 Minutes $96 Phone, E mail, Ret ailer App Coupon Used 19
  • 20. App Usage Stated and Actual Types of Apps Used Text/SMS Phone Social 31% 25% 24% Shopping/ Retail Games 21% 13% 16% 12% 14% 11% 5% Stated Actual 20
  • 21. App Usage What & Why 39% 46% Call about a purchase Message about a purchase What did you buy? 21
  • 22. App Usage What & Why Shopping List 83% Coupon 45% Compare Prices 41% 22
  • 23. 23