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IRL vs URL Digital Marketing Midterm 2016
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Transcript of IRL vs URL Digital Marketing Midterm 2016
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 less TV, 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
0.56.76.25.9
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
0.46.68.413.1
29.1
5.6
36.8
TVInternetMobileNewspaperMagazineRadioOutdoorCinema
2013
0.56.96.97.9
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
73.7770.5968.5466.3564.54
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)
2.80
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)
2.80
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)
2.10
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)
2.10
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-lineMobile
Outdoor
TV Close Prox
Impact-fullness
Cut-through
=fn (Targeting, Cut-through, Impact)
Courtesy: Litaagroup
• Wifi ON
• Blue Tooth 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 MouthRetailers and store visits
You Tube - "how to" videosTwitter
Company / brand websitesFacebookPinterest
Newspapers and MagazinesTV and Cinema
Search
0 20 40 60 8051
5656
5961
64
5155
6974
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 Capture163,896 games played over 14 days512,480 tomatoes were thrown
Campaign Impact23,351 visitors to Anthony Nolan’s website1,572 donor registrations, and uplift of 74.9%
See more at: http://www.captive-media.co.uk/election/