Google Ipsos Mrg 3 Screen Behaviour

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3 Screen Behaviour The effect of three screen ownership on online and offline behaviour Google and Ipsos MediaCT Friday 16 November

Transcript of Google Ipsos Mrg 3 Screen Behaviour

Page 1: Google Ipsos Mrg 3 Screen Behaviour

3 Screen Behaviour The effect of three screen ownership on online and offline behaviour Google and Ipsos MediaCT

Friday 16 November

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Google Confidential and Proprietary

Shift to continuous, anytime, anywhere online use

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What truth did we want to get to? How, if at all, does being a three screen user affect online and offline behaviour?

Does tablet ownership create new online behaviour or cannibalise existing use on PC and mobile?

Does three screen ownership lead to a change in use of offline media such as TV and print?

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What was our criteria for the ‘truth’? We wanted ‘facts’ or ‘reality’ to help deliver insights from the research

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Truth Definition:

‘Truth’ is most often used to mean

in accord with fact or reality

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What did we do to get to the truth? Short term working memory2 filter limits retention capacity, so delayed recall of online use likely not accurate enough

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Working Memory

Long Term Store

2. Baddeley, A.D., Hitch, G.J.L (1974). Working Memory, The psychology of learning and motivation:

advances in research and theory , New York: Academic Press.

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What did we do to get to the truth?

Online blogs over 5 days amongst

n=15 three screen users. Each

had a device taken away

1 day mobile diary +

follow up survey about

media use amongst

n=243 three screen

users.

30 days of passive device

measurement amongst n=53 three

screen users.

Measured every online action on each

device, including browsing, app use,

across wifi and 3G,

Questions Observation

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Being overwhelmed with data was also a gamble Different data sources gave us more insight opportunities but there was also the challenge of retaining focus on what was important

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75 hours of user generated content

across text and video diaries, in and out of

the home

1,782 diary entries covering 1,546 hours of

media activity

30 days of online use, totalling 30,814

online sessions

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The key truths that we learnt…

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3.3 2.1 1.6

12.1

3.6 3.1

Mobile PC Tablet

Recall is not as accurate as passive at measuring more frequent online mobile use

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Average Daily Online Sessions Mobile diary recall (last 2 hours) vs. Passive Device Measurement

D1a/D5: Which did you use for your main activity? Base: 1,782 entries amongst 243 respondents.

Passive Measurement: Average Daily online sessions per device. Base: 53 three screen users.

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Three screen users are constantly online

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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

Three screen users are ‘always on’ and this is driven by mobile and tablets

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Total

Passive Measurement: Average days per month not connected to the internet per device.

Base: 53 three screen users.

Days online (1-30)

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Tablets create more online use than they cannibalize

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Tablets have created a net increase in online use +4%

13 Measurement: Percentage of total online sessions over 30 days across devices. PC5/MO5: Thinking again about when you used your [DEVICE] would you have done this at this specific moment had you not had access to it? (Base: Behaviours followed up Tablet (230)

Tablets = 16% of online sessions

-3% -3% 10% Unique to

the tablet

+

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This equates to an additional

9 online sessions and

1 hour 43 mins a month per user on tablets

14 Measurement: Percentage of total online sessions over 30 days across devices PC5/MO5: Thinking again about when you used your [DEVICE] would you have done this at this specific moment had you not had access to it? (Base: Behaviours followed up Tablet (230)

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PCs dominate in home online use

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Mobile devices represent more in-home online use than PC

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45% 37% 19%

55%

Mobile NET

Measurement: Percentage of total in-home online sessions over 30 days across devices Base: 53 three screen users

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People use smartphones and tablets while watching TV

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Three screeners use smartphones and tablets more than PCs while watching TV

D1a/D5: Which did you use for your main activity? / Did you also use any of the following? Base: Primary TV usage occasions (369)

2 in 5 use at least one mobile device while watching TV

TV

MOBILE

LAPTOP

TABLET

14% 25%

13%

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PCs dominate secure activity such as commerce

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PCs represent under half of commerce use, though two thirds across devices are in-home

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36%

20% 44%

Measurement: Proportion of online commerce sessions over 30 days across devices Base: 53 three screen users

66%

12%

10%

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Online use is continuous throughout the day across the three screens and each device has different patterns of use...

21 Measurement: Online time use per device over the day – Saturday use over one day Base: 53 three screen users

Weekend - Saturday

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Mobile use is more frequent in the morning at the weekend, possibly planning the day ahead

22 Measurement: Online time use per device over the day – Saturday use over one day Base: 53 three screen users

Weekend - Saturday Weekday - Wednesday

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The key truths that we learnt…

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The research truths we learnt Users cannot accurately estimate the time they spend online: their devices do a better job at this

Only users can tell us whether their behaviour was new because they own a tablet: we just had to help them by reminding them of things they did

Only users can help tell a research story: observation from device measurement and diaries don’t mean a lot without users giving us human context to understand it

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What would do differently to get closer to the truth? Measure the screen rather than devices: currently, we need to use different applications for each screens, which is not scalable

Link actual device behaviour to considered survey responses: meter the respondent devices and then list out key behaviours in a survey to ask them about the context

Mobile or wearable online devices will change everything: online use will be more continuous and fluid and measurement and research questions will need to evolve to reflect this.

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So we took a gamble and felt we got to the truth...

...but the more accurate truth could be yet to come

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Thank You