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ROI—A WAY OF LIFE IN MEDIA. Presentation speakers. Aaron Fetters Director, Insights and Analytics Solutions Center The Kellogg Company. Howard Shimmel Chief Research Officer Turner Broadcasting System, Inc. Kate Sirkin EVP, Global Research Director Starcom MediaVest Group. - PowerPoint PPT Presentation
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ROI—A WAY OF LIFE IN MEDIA
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PRESENTATION SPEAKERS
Kate SirkinEVP, Global Research Director
Starcom MediaVest Group
Aaron FettersDirector, Insights and Analytics
Solutions CenterThe Kellogg Company
Howard ShimmelChief Research Officer
Turner Broadcasting System, Inc.
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WHAT’S ON THE AGENDA?
• The Media ROI Framework• The Media Company Perspective
• The Agency Experience—Driving the Eco-System
• The Advertiser Strategy
• Table Talk & Panel Discussion
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THE ROI LANDSCAPEBehavioral impact
Smarter allocation, more accountability
Marketing MixA holistic view
Single SourceBuyer graphics & campaign-level ROI
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SINGLE SOURCE ANALYTICS—CLOSING THE LOOPComplementary to other planning and measurement tools
Plan
Buy/Optimize
MeasureForm ObjectivesMeasure ROI
Define Audience
Optimize PlansMeasure Effectiveness
RESEARCH INNOVATIONS
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MEDIA AUDIENCE DATA
DigitalDemographic. Behavioral. Geographical.
TVDemo-based since 1960!
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NEW DATA POWERS ADVANCED MEDIA TARGETING
Nielsen Buyer Insights
Nielsen Catalina Solutions
Nielsen MotorStats
Nielsen Mobile Vector
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FIRST ADVANCED MEDIA TARGETING PRODUCT
targetingNOW
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A NEW WAY TO PLAN MEDIA
Plan still produced within current sales rotation guidelines
Demo delivery still guaranteed as it always was
Optimized within these parameters to maximize delivery
of your marketing target (ex. category buyer)
Same mix Same demo guarantee Optimized against your target
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WE SELL NETWORKS BASED ON SELLING TITLES
Early Morning
Prime Dramas
Series: 3–5p
Late
Series: 5–7p
Moonlight Theater
Prime
Primetime In The Daytime
Weekend
Late 12–2a
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EACH SELLING TITLE CONTAINS RANGE OF PROGRAMS AND TIME PERIODS
Program / Time Period1 2 3 4 5 6 7 8
Early Morning Prime Dramas Series: 3–5p Late Series: 5–7p Moonlight Theater Prime Primetime In The Daytime Weekend Late 12–2a
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TODAY A SCHEDULE WITH THREE UNITS IN EACH SELLING TITLE MIGHT LOOK LIKE THIS
Program / Time Period1 2 3 4 5 6 7 8
Early Morning x xx Prime Dramas xx x Series: 3–5p xxxLate x x x Series: 5–7p x x x Moonlight Theater x x x Prime x x xPrimetime In The Daytime x x x Weekend x x xLate 12–2a x x x
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BUT WHAT IF WE OVERLAID NEW DATA ABOUT THE PROBABILITY OF THE AUDIENCE BEING A CATEGORY BUYER?
Strong Concentration of Cat Buyers
Program / Time Period1 2 3 4 5 6 7 8
Early Morning x xx Prime Dramas xx x Series: 3–5p xxxLate x x x Series: 5–7p x x x Moonlight Theater x x x Prime x x xPrimetime In The Daytime x x x Weekend x x xLate 12–2a x x x
Average Concentration of Cat Buyers
Low Concentration of Cat Buyers
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15Source: Nielsen Buyer Insights. 3Q13 to date (7/1/13–8/25/13) viewing to TBS/TNT; 1 min qualifier. Purchasing via NBI database for 52 weeks ending 3/31/13. Includes credit & debit transactions from NBI database only. Mass Merchandiser category (Kmart, Target, Wal-Mart). Excludes Movies, Marathons, Specials, Sporting Events, Sports Programming. Includes repeats.
EXAMPLE: MASS MERCHANDISER SHOPPERS TN
Early Morning (576)Law & Order (604)Angel (551)
Late: 12–3a (587)CSI: New York (581)Perception (683)Cold Case (546)The Mentalist (630)Franklin & Bash (504)The Hero (593)Falling Skies (480)
Primetime In Daytime (588)Bones (614)Major Crimes (474)Charmed (617)Supernatural (555)Smallville (545)
Late: 12–2a (568)Perception (637)Cold Case (549)The Mentalist (622)The Hero (540)Falling Skies (388)CSI: New York (581)Franklin & Bash (409)
Series: 3–5p (599)Bones (620)Supernatural (505)Castle (601)Major Crimes (447)
Prime (648)Castle (610)Perception (582)The Mentalist (554)Major Crimes (719)Franklin & Bash (572)Rizzoli & Isles (833)Falling Skies (600)
Series: 5–7p (559)Castle (629)Law & Order (557)The Mentalist (466)Bones (503)Supernatural (486)
Weekend (575)Perception (549)Rizzoli & Isles (637)Franklin & Bash (535)Falling Skies (530)Major Crimes (619)Law & Order (522)The Hero (607)
(#) = VPVH
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…AND THEN WE USED THIS DATA TO PUT YOUR ADVERTISER SPOTS IN THE OPTIMAL PROGRAMS/TIMES
Strong Concentration of Cat Buyers
Program / Time Period1 2 3 4 5 6 7 8
Early Morning x xx Prime Dramas xx x Series: 3–5p xxxLate xxx Series: 5–7p xxx Moonlight Theater xxx Prime xxx Primetime In The Daytime xxx Weekend x x x Late 12–2a x x x
Average Concentration of Cat Buyers
Low Concentration of Cat Buyers
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WHY ARE WE EXCITED?
• Targeting works• Solutions delivers materially
more of an advertiser’s target
Great reaction from the market in Upfront
Opportunity to drive greater yield from TV
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TARGETING WORKS!
15.0%
18.1%
UnexposedExposed
P18–49
Auto TBS Campaign
+21%
87% 93%
29.5%
46.9%
+59%
ExposedUnexposed
Heavy Auto Searchers
Significance
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Original
Optimized
GRPs Reach
Demo Marketing Target
50.4 18.050.4 17.8
GRPs Reach
59.1 24.794.3 28.1
Original
Optimized
13.6 9.213.5 8.7
11.2 6.918.2 9.7
Original
Optimized
15.1 9.615.1 9.6
16.4 9.918.5 11.1
Original
Optimized
7.8 4.47.9 4.9
6.3 5.09.8 6.4
+59%
+63%
+13%
+56%
Beer Brand
Domestic Auto Brand
Paper Towel Brand
Toothpaste Brand
MORE OF YOUR TARGET
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+33%Average lift in target grps
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Disclaimer
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CHALLENGES
Predictability and Stability
Scalablity Target Transparency
Systems/Data Access
Cross-Platform Application
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FUTURE PRODUCTS
Use to inform allocation across selling rotations
Use to inform allocation across Turner TV and digital assets
BUYER-BASED DATA HELPING SMG DELIVER MORE PRECISION FOR ADVERTISERS
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THE EVOLUTION OF THE TV/VIDEO MARKETPLACE
Precision video for all screens (convergence)
Data-DrivenLinear
1st Screen Addressability
1st Screen Connected
1st Screen Active Amplification
1st Screen Passive Amplification
Multi-Screen ‘Digital’ Video
Buying TV smarter and more precisely (Social Data, Purchase Data: Tardiis 2.0)
‘Addressable TV’Audience or data-driven TV leveraging STB data
From TV & Digital Video to
Connected 1st screen TV with over the top (OTT) video service
Digital distribution of video—premium, mid and long tail on PC, mobile and tablet
‘Social TV’: Use 1st screen to drive active 2nd screen participation
‘TV Syncing’: Passive approach to syncing TV ad on all other screens
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KEY THEMES
Incorporate more data to drive client value; maximize budget efficacy
Maximize efficiency using best data that feeds brand strategy and optimization agility
Demonstrate accountability—actual sales impact is typically the best way
Real-time, seamless and continuous learning—integrated workflow
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PURCHASER DATASETS—WHICH WILL DRIVE MOST IMPACT IN PLANNING
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HOW DO WE USE IT?
• TV planning via “single source” data
• ROI measurement for TV, print, digital and mobile
• Purchaser-based targeting in digital, mobile and addressable TV
• Targeting Accuracy Tests• Multi Touch Attribution (MTA)
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TV BUYING EVOLUTION WITH SINGLE SOURCE
• Optimized CPMs based on audience value uncovered by buyer-graphics• Much better aligned with client objectives• Allocated within corporate inventory to
maximize portfolio effect
• Larger buys for optimized CPMs• Age/gender
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PLANNING/MEASUREMENT PROCESS
1
5
Define business challenge and
objectives
Develop targets based on strategic
definition
Consider data options and
requirements
Determine communication goals, flights, and budgets
2 3
Forecast corporate needs translated to demo targets
Purchase inventory
Allocate versus buyer-based
brand targets
Design measurement plan
4
5 6 7 8
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ALLOCATING FOR MAXIMUM EFFICACY
Real-time/Right-time• Optimized to consumer response
and marketplace opportunities• Creative allocated to drive buy rate
or penetration
• Point in time (quarterly/upfronts)• Total campaign level
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BRINGING IT ALL TOGETHER—CLOSING THE LOOPIntegrated workflow that works within and outside
Plan
Buy/Optimize
MeasureForm ObjectivesMeasure ROI
Define Audience
Optimize PlansMeasure Effectiveness
THE KELLOGG’S OPPORTUNITY FROM BUYER GRAPHICS
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ENABLING A DATA-DRIVEN MARKETING ECOSYSTEM
Data-Based Decisioning
Data-Driven Buying
Data Analytics & Optimization
Effectiveness Evaluation
Data-Driven Ecosystem
3rd Party
CRMOther 1st
Party
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DOES A BUYER-BASED APPROACH REALLY SELL MORE IN-MARKET AND DRIVE ROI? CASE STUDY
• Develop the financial estimate for TV-driven sales • Validate the estimate in-market• Expand the learnings for multiple brands and for
future periods• Continuously optimize, based on key drivers of ad
response
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Demo Target (F25–54)
THE OPPORTUNITY FOR A BUYER GRAPHIC APPROACH
14% of reach to F25-54 goes to households who do not buy in the category
RTE CerealCategory Buyers
51% of Category Buyers are not reached by the demographic target
Missed Category Opportunity
52% of Kellogg’s Cereal Brand Buyers are not reached by the demographic target
Kellogg’s Cereal Brand
BuyersMissed Brand Opportunity
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THE “SIZE OF THE PRIZE” COULD BE SIGNIFICANT FOR KELLOGG’S
$30 MM–$64MM
$2 MM–$4 MMEst. Incremental Retail Sales/Year*
* Incremental retail sales opportunity derived from Kellogg’s Size Of Prize Deliverable (August 2013)
Kellogg’s Cereal Brand
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KELLOGG’S CEREAL BRAND
2012
Series10
0.02
0.04
0.06
0.08
0.1
0.12
0.0840.092
+10%
2013
Series10
0.02
0.04
0.06
0.08
0.1
0.12
0.0950.109
+14%
TV campaign drove incremental sales lift 10% in 2012 and 14% in 2013
Average volume/household
■ Unexposed HH■ Exposed HH
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2013
Series1250
255
260
265
270
275
280
285
290
295
300
280
296
Series1250
255
260
265
270
275
280
285
290
295
300
283
270
2012
95INDEX
105INDEX
KELLOGG’S CEREAL BRANDTV Campaign Audience Delivery
Kellogg’s Cereal Brand BRPs increased by 10% in 2013 from 2012 while F25–54 GRPs remained constant
■ F25–54 GRP■ F25–54 Kellogg’s
Cereal Brand BRP
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$3.4MM814K
$1.77
ANNUALIZED RESULTS—THE 2013 TV CAMPAIGN GENERATED INCREMENTAL SALES, UNITS, ROAS
$5.2MM1,273K$2.19
2012 Campaign 2013 Campaign
incremental sales +52%
incremental units +56%
ROAs +24%
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CONCLUSIONYes, the buyer-based approach actually increased sales, units, ROI—more can be gained!
Develop the financial estimate for TV-driven sales
Validate the estimate in-market
Expand the learnings for multiple brands and/or for
future periods
Continuously optimize, based on key drivers of
ad response
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CLOSING THE LOOP—IT WORKS!
Plan
Buy/Optimize
MeasureForm ObjectivesMeasure ROI
Define Audience
Optimize PlansMeasure Effectiveness
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c360.cnf.io
Choose Your Session From the List
Click / Tap on Each Poll to Respond
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POLLING QUESTION
Now that you have seen real, large scale application of buyer-based solutions, is the marketplace ready to
go beyond age/gender?
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TABLE TALK QUESTIONS
What are some of the strengths / weaknesses of buyer-based thinking
in the media process?
What would it take to instill confidence in the broad marketplace
and drive adoption?