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1 of 51
MARKETING
EFFECTIVENESS
Getting the balance right in 2019
My evidence base
How does the
context the brand
operates in
influence strategy?
500 digital era
cases
Short-termism is killing effectiveness
0%
5%
10%
15%
20%
25%
30%
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2.0
2002 2004 2006 2008 2010 2012 2014 2016
%casesshort-term
Avg.no.VLbusinesseffects
6 years ending
Effectiveness
% short-term
Source: IPA Databank, 1998-2016 for-profit cases
What does the new short-termism
look like?
Salesupliftoverbase
Time
Source: Binet & Field 2013
The deception of the short-term model
Sales activation
Short term sales uplifts only
Salesupliftoverbase
Time
Source: Binet & Field 2013
The deception of the short-term model
Sales activation
Short term sales uplifts only
Brand building
Long term sales growth
Growing pricing power
Short term effects dominate ~6 months
4 wrong assumptions at work
1. Targeting people at the moment of purchase is best
2. Tight targeting is better than broad reach
3. Relevance beats brand-building and creativity
4. Big data makes brand building irrelevant
1. The moment of purchase is too late
You need brand and activation
0.8
1.5
2.0
2.4
0.0
0.5
1.0
1.5
2.0
2.5
Low Brand, Low
Activation
Low Brand, High
Activation
High Brand, Low
Activation
High Brand, High
Activation
Numberofverylargebusinessfx
Balance of brand and activation effects
Source: IPA Databank, 1998-2016 for-profit cases, based on scale of activation effects and number of brand effects
Brand building boosts short-term effects
17%
36%
42%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
0 1 ≥2
%Reportingverylargeactivationfx.
Number of very large brand effects reported
Source: IPA Databank, 1998-2016 for-profit cases
Brand is the key to premium pricing
0%
2%
4%
6%
8%
10%
12%
0 1 2 3+
%Reportingverylarge
pricesensitivityreduction
Number of very large brand effects recorded
Source: IPA Databank, 1998-2016 for-profit cases
The moment of purchase is too late
2 Tight targeting doesn’t work
in the long term
“Market share increases depend on substantially
growing the size of your customer base.”
1-1 at scale is no substitute for brand building
0%
10%
20%
30%
40%
50%
60%
70%
80%
Did use Did not use
Verylargeactivationeffects
Use of Big Data for real-time marketing
1-1 at scale drives short-term
activation
0.0%
0.2%
0.4%
0.6%
0.8%
1.0%
1.2%
1.4%
1.6%
Did use Did not use
Annualmarketsharegrowth
Use of Big Data for real-time marketing
Broad early targeting drives long-
term growth
Source: IPA Databank, 2014-16 cases
“We targeted too much, and we went too
narrow…The bigger your brand, the
more you need broad reach and less
targeted media.”
Marc Pritchard, CMO P&G
Wall Street Journal, Aug. 17, 2016
Tight targeting doesn’t work
3. Fame (TapForward) and Creativity beat
everything
The Rational model doesn’t work as hard
0.2
1.0
1.3
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
Rational Emotional Fame (TapForward)
SOVefficiency
Source: IPA Databank, 2004-16 cases
What drives fame?
Source: Unruly / IPA Databank
Unruly advertising
response metric
(top 5 correlations)
Correlation with fame
(TapForward) effects
Shock 28%
Surprise 27%
Amazement 14%
Disgust 11%
Hilarity 10%
What doesn’t drive fame?
Source: Unruly / IPA Databank
Unruly advertising
response metric
(top 5 correlations)
Correlation with fame
(TapForward) effects
Shock 28%
Surprise 27%
Amazement 14%
Disgust 11%
Hilarity 10%
# 17 correlation of 18
Knowledge -13%
Unruly advertising
response metric
(top 5 correlations)
Correlation with fame
(TapForward) effects
Shock 28%
Surprise 27%
Amazement 14%
Disgust 11%
Hilarity 10%
Creativity amplifies fame
0%
10%
20%
30%
40%
50%
Creatively awarded Non-awarded
Verylargefameeffects
The more creative the better
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
Highly creatively
awarded (4+)
Less creatively
awarded (1-3)
Not creatively
awarded
SOVefficiency
“Shit that arrives at the
speed of light is still shit”
Creativity beats everything
4. Brand building is getting more
important
Brand-Activation balance matters
0
0.5
1
1.5
2
0 10 20 30 40 50 60 70 80 90 100
Numberofbusinesseffectsreported
% Budget allocated to brand building
Source: IPA Databank, 1998-2016 for-profit cases
Peak at 62% brand
20% loss of effectiveness
Brand remains strong
56% loss of effectiveness
Brand weakens
When activation is easy, up-weight brand
61 69
39 31
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Low consideration High consideration
OptimumBrand/activationsplit
Nature of purchase decision
Activation
Brand
Source: IPA Databank, 1998-2016 for-profit cases
When brand building is easy,
up-weight activation
76
55
24
45
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Low High
OptimumBrand/activationsplit
Role of emotions in purchase decision
Activation
Brand
Source: IPA Databank, 1998-2016 for-profit cases
Up-weight brand in Financial Services,
down-weight brand in Other Services
58 60
80
51
64
42 40
20
49
36
0
10
20
30
40
50
60
70
80
90
100
Durables FMCG Financial services Other services Retail
Optimumbudgetsplit%
Activation
Brand
Source: IPA Databank, 1998-2016 for-profit cases
Online selling makes activation easier
Source: IPA Databank, 1998-2016 for-profit cases
30%
40%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
Offline brand Online brand
VLargeActivationfx.
55
74
45
26
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Offline brand Online brand
Brrand/activationoptimum
Activation
Brand
Brand building is becoming
more important, not less
55 57 63
76
45 43 37
24
0
10
20
30
40
50
60
70
80
90
100
98 to 10 00 to 12 02 to 14 04 to 16
Optimumbudgetsplit%
Period
Activation
Brand
Source: IPA Databank, 1998-2016 for-profit cases
61%
39%
UK advertising spend split, 2000
Share of display
Share of direct
response
Source: Enders Analysis estimates based on AA/WARC
The tide of short-term activation spend
From: ‘Advertising after the turning point’ [Enders Analysis June 2018]
45%
55%
UK advertising spend split, 2017
The damage mirrors short-termism
-80%
-70%
-60%
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
0% 50% 100% 150% 200% 250% 300% 350%
Lossofeffectiveness2014-16vs.2006-08
Growth of short-termism
2014-16 vs. 2006-08
76% Correlation
Other services
Financial services
Durables
FMCG
Retail
Source: IPA Databank, 2006-2016 for-profit cases
5. The way forward: getting the balance right
brings big rewards
AA Roadside recovery
Churchill insurance
Abandoning the brand:
AA Roadside Assistance
The damage done to the AA brand
The damage done to AA search response
The damage done to AA pricing
42%
42%
40%
40%
39%
39%
2011 2012 2013 2014 2015 2016 2017
Shareofmembership(%)
Year
The damage done to AA market share
SOURCE:AA
Complete collapse
predicted in five
years
Reversing the damage to the AA Brand
Reversing the damage to the AA Brand
42%
42%
40%
40%
39%
39%
42%
2011 2012 2013 2014 2015 2016 2017 YTD
Shareofmembership(%)
Year
AA market share recovered rapidly
SOURCE:AA
2017 ads
Brand metrics improved
Branded searches increased
Acquisition increased
Retention increased
Despite less discounting
Policy pricing increased by 5%
Churchill Insurance: the value of a brand in a
market dominated by price comparison sites
Churchill brand effect
Source: Direct Line Group IPA case study 2018
Churchill’s brand equity delivered a price premium in the £10-20 range
Why TV?
“We could find compelling evidence for both the long-term and
short-term effectiveness of media lines such as TV and radio. By
contrast, our research did not support continued investment in
a number of programmatic digital media lines even on a short-
term basis.”
Direct Line Group 2018 IPA case study
How do we restore effectiveness?
• Rebalance expenditure back to brand building and established
brand media.
• As resistance to data gathering and usage grows, repurpose
data from last minute targeting to strategic brand insight
• Invest in creativity and fame (TapForward)
• Stop measuring shit at the speed of light
2019 has to be smarter than this
Thank you

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Marketing effectiveness 2019 Wim Vermeulen and Peter Field Part 1

  • 1.
  • 2.
  • 4. My evidence base How does the context the brand operates in influence strategy? 500 digital era cases
  • 5. Short-termism is killing effectiveness 0% 5% 10% 15% 20% 25% 30% 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2002 2004 2006 2008 2010 2012 2014 2016 %casesshort-term Avg.no.VLbusinesseffects 6 years ending Effectiveness % short-term Source: IPA Databank, 1998-2016 for-profit cases
  • 6. What does the new short-termism look like?
  • 7.
  • 8. Salesupliftoverbase Time Source: Binet & Field 2013 The deception of the short-term model Sales activation Short term sales uplifts only
  • 9. Salesupliftoverbase Time Source: Binet & Field 2013 The deception of the short-term model Sales activation Short term sales uplifts only Brand building Long term sales growth Growing pricing power Short term effects dominate ~6 months
  • 10. 4 wrong assumptions at work 1. Targeting people at the moment of purchase is best 2. Tight targeting is better than broad reach 3. Relevance beats brand-building and creativity 4. Big data makes brand building irrelevant
  • 11. 1. The moment of purchase is too late
  • 12. You need brand and activation 0.8 1.5 2.0 2.4 0.0 0.5 1.0 1.5 2.0 2.5 Low Brand, Low Activation Low Brand, High Activation High Brand, Low Activation High Brand, High Activation Numberofverylargebusinessfx Balance of brand and activation effects Source: IPA Databank, 1998-2016 for-profit cases, based on scale of activation effects and number of brand effects
  • 13. Brand building boosts short-term effects 17% 36% 42% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 0 1 ≥2 %Reportingverylargeactivationfx. Number of very large brand effects reported Source: IPA Databank, 1998-2016 for-profit cases
  • 14. Brand is the key to premium pricing 0% 2% 4% 6% 8% 10% 12% 0 1 2 3+ %Reportingverylarge pricesensitivityreduction Number of very large brand effects recorded Source: IPA Databank, 1998-2016 for-profit cases
  • 15. The moment of purchase is too late
  • 16. 2 Tight targeting doesn’t work in the long term
  • 17. “Market share increases depend on substantially growing the size of your customer base.”
  • 18. 1-1 at scale is no substitute for brand building 0% 10% 20% 30% 40% 50% 60% 70% 80% Did use Did not use Verylargeactivationeffects Use of Big Data for real-time marketing 1-1 at scale drives short-term activation 0.0% 0.2% 0.4% 0.6% 0.8% 1.0% 1.2% 1.4% 1.6% Did use Did not use Annualmarketsharegrowth Use of Big Data for real-time marketing Broad early targeting drives long- term growth Source: IPA Databank, 2014-16 cases
  • 19. “We targeted too much, and we went too narrow…The bigger your brand, the more you need broad reach and less targeted media.” Marc Pritchard, CMO P&G Wall Street Journal, Aug. 17, 2016
  • 21. 3. Fame (TapForward) and Creativity beat everything
  • 22. The Rational model doesn’t work as hard 0.2 1.0 1.3 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 Rational Emotional Fame (TapForward) SOVefficiency Source: IPA Databank, 2004-16 cases
  • 23. What drives fame? Source: Unruly / IPA Databank Unruly advertising response metric (top 5 correlations) Correlation with fame (TapForward) effects Shock 28% Surprise 27% Amazement 14% Disgust 11% Hilarity 10%
  • 24. What doesn’t drive fame? Source: Unruly / IPA Databank Unruly advertising response metric (top 5 correlations) Correlation with fame (TapForward) effects Shock 28% Surprise 27% Amazement 14% Disgust 11% Hilarity 10% # 17 correlation of 18 Knowledge -13% Unruly advertising response metric (top 5 correlations) Correlation with fame (TapForward) effects Shock 28% Surprise 27% Amazement 14% Disgust 11% Hilarity 10%
  • 25. Creativity amplifies fame 0% 10% 20% 30% 40% 50% Creatively awarded Non-awarded Verylargefameeffects
  • 26. The more creative the better 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 Highly creatively awarded (4+) Less creatively awarded (1-3) Not creatively awarded SOVefficiency
  • 27. “Shit that arrives at the speed of light is still shit”
  • 29. 4. Brand building is getting more important
  • 30. Brand-Activation balance matters 0 0.5 1 1.5 2 0 10 20 30 40 50 60 70 80 90 100 Numberofbusinesseffectsreported % Budget allocated to brand building Source: IPA Databank, 1998-2016 for-profit cases Peak at 62% brand 20% loss of effectiveness Brand remains strong 56% loss of effectiveness Brand weakens
  • 31. When activation is easy, up-weight brand 61 69 39 31 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Low consideration High consideration OptimumBrand/activationsplit Nature of purchase decision Activation Brand Source: IPA Databank, 1998-2016 for-profit cases
  • 32. When brand building is easy, up-weight activation 76 55 24 45 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Low High OptimumBrand/activationsplit Role of emotions in purchase decision Activation Brand Source: IPA Databank, 1998-2016 for-profit cases
  • 33. Up-weight brand in Financial Services, down-weight brand in Other Services 58 60 80 51 64 42 40 20 49 36 0 10 20 30 40 50 60 70 80 90 100 Durables FMCG Financial services Other services Retail Optimumbudgetsplit% Activation Brand Source: IPA Databank, 1998-2016 for-profit cases
  • 34. Online selling makes activation easier Source: IPA Databank, 1998-2016 for-profit cases 30% 40% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% Offline brand Online brand VLargeActivationfx. 55 74 45 26 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Offline brand Online brand Brrand/activationoptimum Activation Brand
  • 35. Brand building is becoming more important, not less 55 57 63 76 45 43 37 24 0 10 20 30 40 50 60 70 80 90 100 98 to 10 00 to 12 02 to 14 04 to 16 Optimumbudgetsplit% Period Activation Brand Source: IPA Databank, 1998-2016 for-profit cases
  • 36. 61% 39% UK advertising spend split, 2000 Share of display Share of direct response Source: Enders Analysis estimates based on AA/WARC The tide of short-term activation spend From: ‘Advertising after the turning point’ [Enders Analysis June 2018] 45% 55% UK advertising spend split, 2017
  • 37. The damage mirrors short-termism -80% -70% -60% -50% -40% -30% -20% -10% 0% 10% 20% 0% 50% 100% 150% 200% 250% 300% 350% Lossofeffectiveness2014-16vs.2006-08 Growth of short-termism 2014-16 vs. 2006-08 76% Correlation Other services Financial services Durables FMCG Retail Source: IPA Databank, 2006-2016 for-profit cases
  • 38. 5. The way forward: getting the balance right brings big rewards AA Roadside recovery Churchill insurance
  • 39. Abandoning the brand: AA Roadside Assistance
  • 40. The damage done to the AA brand
  • 41. The damage done to AA search response
  • 42. The damage done to AA pricing
  • 43. 42% 42% 40% 40% 39% 39% 2011 2012 2013 2014 2015 2016 2017 Shareofmembership(%) Year The damage done to AA market share SOURCE:AA Complete collapse predicted in five years
  • 44. Reversing the damage to the AA Brand
  • 45. Reversing the damage to the AA Brand
  • 46. 42% 42% 40% 40% 39% 39% 42% 2011 2012 2013 2014 2015 2016 2017 YTD Shareofmembership(%) Year AA market share recovered rapidly SOURCE:AA 2017 ads Brand metrics improved Branded searches increased Acquisition increased Retention increased Despite less discounting Policy pricing increased by 5%
  • 47. Churchill Insurance: the value of a brand in a market dominated by price comparison sites
  • 48. Churchill brand effect Source: Direct Line Group IPA case study 2018 Churchill’s brand equity delivered a price premium in the £10-20 range
  • 49. Why TV? “We could find compelling evidence for both the long-term and short-term effectiveness of media lines such as TV and radio. By contrast, our research did not support continued investment in a number of programmatic digital media lines even on a short- term basis.” Direct Line Group 2018 IPA case study
  • 50. How do we restore effectiveness? • Rebalance expenditure back to brand building and established brand media. • As resistance to data gathering and usage grows, repurpose data from last minute targeting to strategic brand insight • Invest in creativity and fame (TapForward) • Stop measuring shit at the speed of light
  • 51. 2019 has to be smarter than this Thank you