SlideShare a Scribd company logo
URL VS IRL.
HOW ON-LINE AND REAL WORLD ADS INTERACT TO INFLUENCE
BEHAVIOUR
Mark Melford - Founder Captive Media
“Look everyone!
- Oh, never mind”
CRISISEUROHOUSINGATTENTION
ATTENTION
• exposed to over 600 advertising
messages a day)
• filter these messages as never before
• watch lessTV, and consume less
traditional media
• are out and about 30% more than a
decade ago
“CONTINUOUS PARTIAL ATTENTION”
“I KNOW that half of all I spend on
advertising is wasted.
...I just dont know which half”
John Wanamaker
TARGETING
TARGETING ≠ ATTENTION
=fn (Targeting, Cut-through, Impact)
£££
Value for Money?
0
0.25
0.5
0.75
1
Global Ad Spend Retail Spend
94.1%
70%
5.9%
30%
On-line / "URL"
Real World / "IRL"
Source: Magna Global, Centre for Retail Research, eMarketer
$22 trn 2014$600 bn
2017
0.5
6.7
6.2
5.9
12.2
11.4
19.6
37.4
Share of global ad spending by Media:
Source: Advertising Expenditure Forecast from ZenithOptimedia
0
25
50
75
100
2005
0.4
6.6
8.4
13.1
29.1
5.6
36.8
TV
Internet
Mobile
Newspaper
Magazine
Radio
Outdoor
Cinema
2013
0.5
6.9
6.9
7.9
17
20.6
40.2
The TV anomaly. Spend keeps growing…
0
8
16
24
32
40
48
56
64
72
80
2012 2013 2014 2015 2016
73.77
70.5968.5466.3564.54
Source: eMarketer
The growth in TV spending US $bn
Source: Neilson
Linear TV Viewership in US
as audience declines
Linear TV now accounts for less than half of video viewing… 2014
Linear TV now accounts for less than half of video viewing… 2015
43.5%
So… URL - On-line and Mobile - to the rescue?
Recent Issues with On-line: ‘Viewability,’ ‘bot-Fraud’, UX , ad blocking
“Part of it is the industry needs to
be better at producing ads that are
less annoying”
Larry Page, CEO of Google,
when asked about this at Google Shareholder meeting June 2015:
=fn (Targeting, Cut-through, Impact)
Outdoor TV
Mobile Close Prox On-line
Cut-through
Outdoor TV
Mobile Close Prox On-line
0
12.5
25
37.5
50
Very unliklely (1)2 3 4 Very Likely (5)
0
12.5
25
37.5
50
Very unliklely (1)2 3 4 Very Likely (5)
3.7 3.7
0
12.5
25
37.5
50
Very unliklely (1) 3 Very Likely (5)
2.8 0
12.5
25
37.5
50
Very unliklely (1) 3 Very Likely (5)
1.90
12.5
25
37.5
50
Very unliklely (1) 3 Very Likely (5)
3.5
Outdoor TV
Mobile Close Prox On-line
0
12.5
25
37.5
50
Very unliklely (1)2 3 4 Very Likely (5)
0
12.5
25
37.5
50
Very unliklely (1)2 3 4 Very Likely (5)
3.7 3.7
0
12.5
25
37.5
50
Very unliklely (1) 3 Very Likely (5)
2.8 0
12.5
25
37.5
50
Very unliklely (1) 3 Very Likely (5)
1.90
12.5
25
37.5
50
Very unliklely (1) 3 Very Likely (5)
4.4
=fn (Targeting, Cut-through, Impact)
Outdoor TV
Mobile Close Prox On-line
Impact-fullness
Outdoor TV
Mobile Close Prox On-line
0
10
20
30
40
Very unliklely (1)2 3 4 Very Likely (5)
0
12.5
25
37.5
50
Very unliklely (1)2 3 4 Very Likely (5)
2.6 2.8
0
12.5
25
37.5
50
Very unliklely (1) 3 Very Likely (5)
2.1 0
12.5
25
37.5
50
Very unliklely (1) 3 Very Likely (5)
1.70
12.5
25
37.5
50
Very unliklely (1) 3 Very Likely (5)
2.5
Outdoor TV
Mobile Close Prox On-line
0
10
20
30
40
Very unliklely (1)2 3 4 Very Likely (5)
0
12.5
25
37.5
50
Very unliklely (1)2 3 4 Very Likely (5)
2.6 2.8
0
12.5
25
37.5
50
Very unliklely (1) 3 Very Likely (5)
2.1 0
12.5
25
37.5
50
Very unliklely (1) 3 Very Likely (5)
1.70
12.5
25
37.5
50
Very unliklely (1) 3 Very Likely (5)
2.7
0
0.75
1.5
2.25
3
0 1.25 2.5 3.75 5
On-line
Mobile
Outdoor
TV Close Prox
Impact-
fullness
Cut-through
=fn (Targeting, Cut-through, Impact)
Courtesy: Litaagroup
• Wifi ON
• BlueTooth ON
• Push Notifications ON
• APP Downloaded AND all above
On-line advertising influences real world
purchase decisions
Path to Purchase (old)
…and vice versa!
Path to Purchase (New)
Source: Google,TNS and Ogilvy. Six-month survey of 2,458 recent purchasers of auto vehicles, beauty products and smartphones
Consumers’ top 10 influences
% citing factor
Word of Mouth
Retailers and store visits
YouTube - "how to" videos
Twitter
Company / brand websites
Facebook
Pinterest
Newspapers and Magazines
TV and Cinema
Search
0 20 40 60 80
51
56
56
59
61
64
51
55
69
74
Real World / "IRL" On-line / "URL"
“Knives out for boss of blunder pollsters”
Peter Kellner, YouGov
Voters change their mind ‘in the booth’
40%McKinsey
% of purchase decisions made in store
70%Ogilvy Active
>> “DOoH” growing faster than paid search
=fn ( )
advertiser consumer
2007
Consumers’ new relationship to media
CONSUMERS ‘TRADE’ THEIR ATTENTION
2015
>> Be Entertaining
‹#›
Over 70,000 game engagements/week. Significant data capture
Data Capture
163,896 games played over 14 days
512,480 tomatoes were thrown
Campaign Impact
23,351 visitors to Anthony Nolan’s website
1,572 donor registrations, and uplift of 74.9%
See more at: http://www.captive-media.co.uk/election/
www.captive-media.co.uk
@Captive_Media
mark@captive-media.co.uk

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IRL vs URL Digital Marketing Midterm 2016

  • 1. URL VS IRL. HOW ON-LINE AND REAL WORLD ADS INTERACT TO INFLUENCE BEHAVIOUR Mark Melford - Founder Captive Media
  • 2.
  • 3. “Look everyone! - Oh, never mind”
  • 6. • exposed to over 600 advertising messages a day) • filter these messages as never before • watch lessTV, and consume less traditional media • are out and about 30% more than a decade ago “CONTINUOUS PARTIAL ATTENTION”
  • 7. “I KNOW that half of all I spend on advertising is wasted. ...I just dont know which half” John Wanamaker
  • 10.
  • 13. Value for Money? 0 0.25 0.5 0.75 1 Global Ad Spend Retail Spend 94.1% 70% 5.9% 30% On-line / "URL" Real World / "IRL" Source: Magna Global, Centre for Retail Research, eMarketer $22 trn 2014$600 bn
  • 14. 2017 0.5 6.7 6.2 5.9 12.2 11.4 19.6 37.4 Share of global ad spending by Media: Source: Advertising Expenditure Forecast from ZenithOptimedia 0 25 50 75 100 2005 0.4 6.6 8.4 13.1 29.1 5.6 36.8 TV Internet Mobile Newspaper Magazine Radio Outdoor Cinema 2013 0.5 6.9 6.9 7.9 17 20.6 40.2
  • 15. The TV anomaly. Spend keeps growing… 0 8 16 24 32 40 48 56 64 72 80 2012 2013 2014 2015 2016 73.77 70.5968.5466.3564.54 Source: eMarketer The growth in TV spending US $bn Source: Neilson Linear TV Viewership in US as audience declines
  • 16. Linear TV now accounts for less than half of video viewing… 2014
  • 17. Linear TV now accounts for less than half of video viewing… 2015 43.5%
  • 18. So… URL - On-line and Mobile - to the rescue?
  • 19.
  • 20. Recent Issues with On-line: ‘Viewability,’ ‘bot-Fraud’, UX , ad blocking “Part of it is the industry needs to be better at producing ads that are less annoying” Larry Page, CEO of Google, when asked about this at Google Shareholder meeting June 2015:
  • 22.
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  • 26.
  • 27.
  • 28. Outdoor TV Mobile Close Prox On-line Cut-through
  • 29. Outdoor TV Mobile Close Prox On-line 0 12.5 25 37.5 50 Very unliklely (1)2 3 4 Very Likely (5) 0 12.5 25 37.5 50 Very unliklely (1)2 3 4 Very Likely (5) 3.7 3.7 0 12.5 25 37.5 50 Very unliklely (1) 3 Very Likely (5) 2.8 0 12.5 25 37.5 50 Very unliklely (1) 3 Very Likely (5) 1.90 12.5 25 37.5 50 Very unliklely (1) 3 Very Likely (5) 3.5
  • 30. Outdoor TV Mobile Close Prox On-line 0 12.5 25 37.5 50 Very unliklely (1)2 3 4 Very Likely (5) 0 12.5 25 37.5 50 Very unliklely (1)2 3 4 Very Likely (5) 3.7 3.7 0 12.5 25 37.5 50 Very unliklely (1) 3 Very Likely (5) 2.8 0 12.5 25 37.5 50 Very unliklely (1) 3 Very Likely (5) 1.90 12.5 25 37.5 50 Very unliklely (1) 3 Very Likely (5) 4.4
  • 32. Outdoor TV Mobile Close Prox On-line Impact-fullness
  • 33. Outdoor TV Mobile Close Prox On-line 0 10 20 30 40 Very unliklely (1)2 3 4 Very Likely (5) 0 12.5 25 37.5 50 Very unliklely (1)2 3 4 Very Likely (5) 2.6 2.8 0 12.5 25 37.5 50 Very unliklely (1) 3 Very Likely (5) 2.1 0 12.5 25 37.5 50 Very unliklely (1) 3 Very Likely (5) 1.70 12.5 25 37.5 50 Very unliklely (1) 3 Very Likely (5) 2.5
  • 34. Outdoor TV Mobile Close Prox On-line 0 10 20 30 40 Very unliklely (1)2 3 4 Very Likely (5) 0 12.5 25 37.5 50 Very unliklely (1)2 3 4 Very Likely (5) 2.6 2.8 0 12.5 25 37.5 50 Very unliklely (1) 3 Very Likely (5) 2.1 0 12.5 25 37.5 50 Very unliklely (1) 3 Very Likely (5) 1.70 12.5 25 37.5 50 Very unliklely (1) 3 Very Likely (5) 2.7
  • 35. 0 0.75 1.5 2.25 3 0 1.25 2.5 3.75 5 On-line Mobile Outdoor TV Close Prox Impact- fullness Cut-through
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  • 37.
  • 40. • Wifi ON • BlueTooth ON • Push Notifications ON • APP Downloaded AND all above
  • 41. On-line advertising influences real world purchase decisions Path to Purchase (old)
  • 42. …and vice versa! Path to Purchase (New)
  • 43. Source: Google,TNS and Ogilvy. Six-month survey of 2,458 recent purchasers of auto vehicles, beauty products and smartphones Consumers’ top 10 influences % citing factor Word of Mouth Retailers and store visits YouTube - "how to" videos Twitter Company / brand websites Facebook Pinterest Newspapers and Magazines TV and Cinema Search 0 20 40 60 80 51 56 56 59 61 64 51 55 69 74 Real World / "IRL" On-line / "URL"
  • 44. “Knives out for boss of blunder pollsters” Peter Kellner, YouGov
  • 45. Voters change their mind ‘in the booth’ 40%McKinsey % of purchase decisions made in store 70%Ogilvy Active
  • 46. >> “DOoH” growing faster than paid search
  • 47. =fn ( ) advertiser consumer
  • 48.
  • 49. 2007 Consumers’ new relationship to media CONSUMERS ‘TRADE’ THEIR ATTENTION 2015 >> Be Entertaining
  • 50.
  • 51. ‹#› Over 70,000 game engagements/week. Significant data capture Data Capture 163,896 games played over 14 days 512,480 tomatoes were thrown Campaign Impact 23,351 visitors to Anthony Nolan’s website 1,572 donor registrations, and uplift of 74.9% See more at: http://www.captive-media.co.uk/election/