media center of excellence measurement that’s just …...•half of all u.s. companies use...
TRANSCRIPT
Ethan Rapp, News America Marketing
Vijoy Gopalakrishan, IRI
September 12, 2019
MEASUREMENT THAT’S JUST RIGHT
Media Center of Excellence
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Today’s Presenters
Ethan Rapp
Vice President
Strategy and Insights
Vijoy Gopalakrishan
Principal
Media Center of Excellence
Paul Donato, Chief Research Officer for the Advertising Research Foundation, Contributed to this Content
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Background
• Marketing analytics spend is expected to grow from 5.8% to 17.3%
of budget in 3 years, representing a 198% increase
• Marketers clearly value consumer data models for both offline
and online purchases
• Multi-channel media exposure (traditional / digital / in-store) and
multi-channel purchases (offline / online) begs the question:
How do we accurately attribute advertising and
marketing spend?
• This has given rise to multiple measurement
tools: Lift, MTA & MMx
• How do we integrate learnings from each
of these to take holistic action?
Source: 2018 CMO survey
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Challenges Facing the Marketer in
Lift / MTA / MMX Insights Integration
• Half of all U.S. companies use multi-channel attribution
whether Lift, MTA or Marketing / Media Mix2
• Only 8% of client marketers worldwide have tied
together customer data from multiple channels… even
they agree, there is no perfect solution
• Each approach has pros and cons:
‒ MMx is top down and strategic, less tactical
‒ Lift is campaign specific (very tactical)
‒ MTA is granular, but data intensive (somewhat
subjective)
• Path to purchase is still more art than science
‒ As one marketer put it… “questions still remain on
which drink caused the hangover”
Source: eMarketer, Marketing Attribution 2017: Five Best Practices
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11.7%
49.8%
7.1%
25.4%
6.0%10.5%
43.4%
19.9%
13.3% 12.9%
Manufacturer – Marketing SpendingBy Type
2012
2017
What Should You Measure?
Shopper Marketing and Digital Advertising are Growing Rapidly
But Trade Promotion Still Accounts for Over 40% of Spend
As Much of Trade is Collinear with Other Media, it Makes Isolation Difficult and Highly Correlated
Consumer Promotion
Trade Promotion
Digital Traditional Advertising
ShopperMarketing
Source: Cadent Consulting Corp
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How to Integrate Learnings from Each
Measurement into a Holistic Marketing Agenda
• Many marketers simply conduct MMM and MTA separately and use experience and
judgement to combine the results
• Some companies specializing in attribution have created an algebra for combination
• But many marketers don’t understand the MTA models and think of it as a black box
• This is true with MMM as well: two modelers with the same data will produce different results
• This is not the days of just modeling TV anymore; marketers want to throw the kitchen sink into the models
𝐼𝑛𝑝
1−𝑝= Σ 𝑎𝑖𝐶𝑖 + Σ𝛽𝑗𝑀𝑗 𝑋1, … , 𝑋𝑛 + ΣΥ𝜅Α𝜅
Captures differences in individual customers due to
their distinct attributes
Captures influence of non-addressable drivers measured at the market level as measured by an aggregate model
Captures incremental conversion probability due to Digital Media
drivers for the individual
Source: Neustar
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Myths and Challenges of MTA – the Newest Toolkit
• Some believe attribution models are biased and
under-represent the impact of upper funnel media
– Example: many models rely on smart TV data for
linear audience exposure, but we know this over-
represents OTT viewing
– Traditional media do not have the granularity (or
impression “bread crumb trail”) of digital
• Incrementality is very difficult to measure – it is difficult
to control for baseline – people who were going to
purchase anyway
• Randomized Control Groups are expensive to operate
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What’s So Hard About Measuring Lift?
https://thearf.org/event/best-practices-for-proving-advertising-roi-using-experimental-design/
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What’s So Hard About Measuring Lift?
Correlation is Not Causation
• Low intent customers have weak signals
• Retargeting makes randomized control groups very difficult (digital specific)
• Sales lift doesn’t measure long-term ad stock – upper funnel lift doesn't measure sales
• Lifetime value of incremental buyers is usually ignored
• Lift doesn't take into account type of
targeting or continuity (e.g., Dell, Fabric
Care examples)
• An important drawback of controlled sales
lift is that it is short-term and does not
capture holistic value (lifetime value of
incremental users, share shift, opportunity
cost of competitors, brand equity)
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A Practitioner’s Learnings and Viewpoint
Identifying the Measure of Success / Learning
Priority is KEY, followed by a Measurement Plan:
Tradeoffs to Consider
• Measurement costs / scope relative to campaign investment
• Incremental learning opportunities
• Campaign planning realities
Product Observations
• MTA needs continued evolution and education
• Walled Gardens and Convenience are gaps that need to be scaled
for Lift / MTA to move from directional to fully ascribing what works
• Manufacturer management of paid digital / social data allows for
inclusion in MMM / secondary models
• Lift needs to be more inclusive of additional value propositions
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A Practitioner’s Application Viewpoints
Push MMM Harder
– Deeper cleaner digital data (standardization, best practices)
– Leverage secondary models to create new learning
Leverage Lift for In-Flight
– Speed is required for optimization, especially for shorter flights
– Understanding optimization metric is a priority to simplify application
Identify Opportunities for MTA
– Measuring cross-platform frequency and synergy isn’t
something MTA does well
– MTA attribution challenges to channels beyond digital
– Incremental learning opportunities
Use These Measurement Products in Tandem by Deploying
the right tools for the respective metrics of interest (or focus)
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$2.39 $2.69
$3.26
TV Online Display
Mobile
$ Uplift by Channel
$2.99 $3.31 $7.35 $7.98 $2.69 $2.60
$3.18
$6.90
$2.93
TV + Online Display
TV + Mobile
Online Display +
Mobile
TV + Online
Display + Mobile
Multi-Channel Synergy
Summary: Best Practices
Lift, MTA and MMM Have Unique Complementary Roles
• MMM – Strategic; go-to for media spend allocation at channel level predominantly and long-term impact
• Lift – In-campaign tactic optimization, campaign conversion, closed loop measurement
• MTA – Cross-channel measurement beyond TV / Digital and into online CRM; attractive continuous measurement
Bridging the Gap
• A/B Testing and Forensic approach need to
overcome baseline sales challenges;
evolutionary Ghost Bid and other techniques
solve this
• Cross-Channel Lift is available with MTA features
at an attractive price point
• There is no solution yet that can merge online
and offline touchpoints into one cohesive, rapid
and actionable MTA model
• Approaches to unify Lift, MTA and MMM are
emerging to integrate complementary benefits
of each tool
Figure A: CPG Food Brand Cross Channel Lift
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FOR MORE INFORMATION, CONTACT US…
Vijoy Gopalakrishnan, IRI
Ethan Rapp, News America Marketing
or reach out to your IRI or News America Marketing contact
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What Roles do Lift / MTA / MMX Play in a Marketer’s Tool Box?
Considerations Marketing Mix Lift MTA
What It Does Quantifies brand sales contribution and
ROI for each element of a marketing mix
over the entire year
Quantifies brand sales lift and ROAS generated by a
marketing campaign —typically digital or TV
Quantifies upper funnel & online sales lift and
ROAS generated by a marketing campaign –
typically digital or TV
Benefits Holistic view and strategic budget
planning solution. Disentangle and
simultaneously understand the
contribution that each of a multitude of
marketing mix levers make to brand
sales
Real time tactical campaign measurement. Measure
household level lift of a specific marketing lever or
combination of tactical levers (e.g., creative or
publisher). Read impact on penetration and buying
rate metrics
Daily tactical measurement of upper funnel
campaign elements (views, click thru’s) and
online sales lift daily/weekly. Provides
decomposed effect of tactics but does not
typically decompose sales lift into penetration,
dollars per visit, visits
Timing
Requirements
Requires robust set of observations over
a minimum of 3-6 months in order to
separate out marketing effects
Can read marketing execution of as few as 2-4 weeks,
depending on the number of impressions available
Can read marketing execution on a daily basis
but more robust with less variability over
weeks
Granularity Broader and strategic as the objective is
to explain the contributions of many
different marketing actions and plan for
full year
Narrower and tactical as the objective is to optimize
the effect of a specific marketing action in the near
term
Narrower and tactical as the objective is to
optimize the effect of a specific marketing
action in the near term
Relative Cost and
Timing
Delivery Timing: 7 to 10 weeks. 3-4 X
cost of Lift
Delivery Timing: 2-4 weeks with in campaign weekly
reads available for in-campaign optimization.
Daily, weekly, monthly. 9X+ cost of Lift to set
up. After that variable costing.
Limitations Top down, less granular… Tactical, focused on campaign optimization;
Mass/Conv is probabilistic while other channels are
deterministic
Increased set up cost. More ecommerce
focused currently; combining all platforms is a
challenge