Peter Field on maximising campaign efficiency using the IPA Effectiveness Databank

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Maximising Efficiency Key learning from the IPA Databank

Transcript of Peter Field on maximising campaign efficiency using the IPA Effectiveness Databank

Page 1: Peter Field on maximising campaign efficiency using the IPA Effectiveness Databank

Maximising EfficiencyKey learning from the IPA Databank

Page 2: Peter Field on maximising campaign efficiency using the IPA Effectiveness Databank

• Analysis of 996 IPA cases over 30 years.

• Covers 700 brands in 83 categories.

• Identifies the ingredients for effectiveness, over the short and long term.

• “Effectiveness” measured in hard business terms.

Page 3: Peter Field on maximising campaign efficiency using the IPA Effectiveness Databank

“Long-term results cannot be achieved by piling short-term results on short-term

results.” Peter

Drucker, 1993

Page 4: Peter Field on maximising campaign efficiency using the IPA Effectiveness Databank

This presentation

• 5 drivers of efficiency• 5 implications for performance measurement

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What do we mean by efficiency?

0% 2% 4% 6% 8% 10% 12%0%

2%

4%

6%

8%

10%

12%

Share of market

Shar

e of

voi

ce

SOV > SOM: brands tend to grow

SOV < SOM: brands tend to shrink

Equilibrium: SOV = SOM

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What do we mean by efficiency?

Share growth α 0.04 x ESOV

Above average

Below average

Grow

th

Investment

Page 7: Peter Field on maximising campaign efficiency using the IPA Effectiveness Databank

Drivers of efficiency

Page 8: Peter Field on maximising campaign efficiency using the IPA Effectiveness Databank

1. Balanced campaign of long-term brand-driven growth and short-term activation

The 60:40 rule

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Time

Sale

s upl

ift o

ver b

ase

Sales activationBig direct effect,

but decays quickly. Brand buildingSmaller effect on all metrics.Decays slowly.

Two ways marketing can affect sales

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Time

Sale

s upl

ift o

ver b

ase

Sales activationShort term sales uplifts, but no long term growth

Brand buildingLong term sales growth

Brand building drives long-term growth

Short term effects dominate ~6 months

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Different time-frames favour different strategies

0-3 months 3-6 months 6+ months0%

10%

20%

30%

40%

50%

60%ADMA data

Brand-build-ing

Activation

Campaign evaluation period

Shar

e gr

owth

effe

cts

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For maximum profit, you need both

Brand buiding Both Sales activation0%

5%

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25%

30%

Campaign objectives

Profi

t effe

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For maximum efficiency, you need both

Brand buiding Both Sales activation0.0

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Campaign objectives

ESO

V Effi

cien

cy

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Balance is important to effectiveness

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Balance is very important to efficiency

Optimum: ~35%

Page 16: Peter Field on maximising campaign efficiency using the IPA Effectiveness Databank

Balance is very important to efficiency

The 60:40 ruleBrand:Activation

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2. Pricing effects

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Volume is not enough

Neither Sales/share only Price only Both0%

10%20%30%40%50%60%70%80%90%

100%

Improvements reported in…

Profi

t effe

ct

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Volume is not enough

Neither Sales/share only Price only Both0.0

1.0

2.0

3.0

4.0

5.0

6.0

Improvements reported in…

ESO

V Effi

cien

cy

Insufficient data

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But price effects are long term

3 months 6 months 1 year 2 years 3 years0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

3.0%

3.5%

Campaigns periods up to

Pric

ing

effec

t

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Brand building is key to lower price sensitivity

0 1 2 3 4+0%

2%

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Number of brand metrics improved

Pric

e eff

ect

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3. Emotional engagement

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Emotional campaigns work harder

Rational Combined Emotional0%1%2%3%4%5%6%7%8% Price effect

NONE

Rational Combined Emotional0.0

0.1

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0.6 ESOV Efficiency

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4. Fame

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Fame drives volume and pricing

Fame campaigns

Other campaigns

0.00.20.40.60.81.01.21.41.61.82.0

SOV Efficiency

Fame campaigns

Other campaigns

0%1%2%3%4%5%6%7%8%9%

10%Price effect

4:1

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5. Creativity

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Creativity amplifies fame

0.0

2.0

4.0SOV Efficiency

0%3%6%9%

Price effect

10:1

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And creativity is getting more efficient

Up to 2002 Post 20020.0

0.5

1.0

1.5

2.0

2.5

3.0

ESO

V effi

cien

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Implications for performance measurement

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A challenge for performance measurement

0%

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35%

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19%

31%27% 26%

35%

Shor

t-ter

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ctiva

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effec

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Pre-testing has promoted short-term effects

≤ 6 months 1 year 2+ years

-15%

-10%

-5%

0%

5%

10%

15%

Campaign duration

Upl

ift to

cam

paig

n sa

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ffect

s pr

etes

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us n

on-p

rete

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Balancing the metrics

1. Beware of quarterly sales measures or shorter-term activation sales as a sole measure of success: balance short term sales responses with long-term metrics:– Year-on-year sales uplifts – econometrics will help

apportion these to the campaign– Annualised efficiency – ESOV is not a short-term metric– Price elasticity - econometrics will be needed

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Balancing the metrics

2. Beware persuasion scores as a sole measure of success: balance these with emotional responses and emotional brand equity shifts: these relate to long-term effects

3. Measure buzz and advocacy4. Encourage creativity – reward major achievements5. Aim for a balanced scorecard of a wide range of short and

long-term metrics – the more metrics, the more reliable the indication.

Page 34: Peter Field on maximising campaign efficiency using the IPA Effectiveness Databank

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