Television's Brand Building Power From GRPs to PRPs

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Television's Brand Building Power From GRPs to PRPs Kelly Johnson VP Advertising & Marketing Intelligence ESPN @themasb1 Frank Findley Executive Director MASB @themasb1

How Advertising Works, Today (2016) Strong showing by traditional media platforms Encouraged marketers to spend smart by adding back traditional media to your digital investments Recommendation well supported by the research Source: Snyder, ARF 2016

Yet some found results surprising Suggested TV advertising retained much of its historic power despite potential attention decline from: Channel fragmentation Time-shifting/ad skipping technology Simultaneous use of laptops, tablets, and smart phones Dearth of research comparing TV power to historic levels As part of its initiative to document drivers of brand value, the MASB BIV team dove into this question

MASB Brand Investment & Valuation Model Source: MASB, 2016

Does television advertising have the same brand-building power as in previous decades? =?

Does television advertising have the same brand-building power as in previous decades? Or more scientifically precise 1. Do television ads on a single-exposure basis still evoke the same level of effectiveness among consumers as in the past? - TV Ad Format 2. Is this impact delivered in-market at the same rate per GRP as in the past? TV Ad Delivery 3. How does television advertising compare to other media in the number of exposures needed to be effective? TV or Ads Generally

Two MASB members provided data and research directly addressing these questions

Datasets Ad effectiveness for a single, quality exposure (1980-2014) MSW ARS database of over 23,000 ads Brand Preference Shift (CCPersuasion TM ) & Category Switching 2,075 distinct television ads, 258 brands, 104 categories Rate of delivery of selling power (1980-2014) MSW ARS (Brand Preference Shift) & Nielsen (GRPs) 188 distinct television ads assessed before & after airing Effective frequency for TV, Radio, and Digital Nielsen Market Mix Modeling 4,677 TV, 268 radio, & 2,830 digital campaigns

There has been no erosion in the selling power of a single, quality 30 second video exposure In fact, format bucked overall consumer switching trend. Source: MSW ARS, 1980-2017

The video format has proved a powerful, flexible creative vehicle over the decades Apple Mac - 1984 Apple Mac - 2006 to 2009

An ad wears out in a predictable manner as media weight (GRPs) is placed behind it Share Change Percent Ad Power Left (measured in-lab as GRPs placed behind ad) Sources: Adams, Blair. Persuasive Advertising and Sales Accountability: Past Experience and Forward Validation. Journal of Advertising Research (1992) Masterson The Wearout Phenomenon Marketing Research (1999)

The wearout model is strongly predictive across time periods Correlations 1987 0.91 1998 0.81 2014 0.87 Source: MSW ARS, 1987-2017

Selling power delivery per GRP has diminished It now takes ¼ more GRPs to deliver half a TV ad s power Source: MSW ARS, 1987-2017

Household growth over same period of time mitigates this decline on an absolute basis +45% Source: United States; US Census Bureau; 1960-2016

All media types can be effective within range of average frequencies typically deployed (<4) While TV campaigns lag for E.F. = 1 they quickly catch up. Source: Nielsen, 2017

Summary of Insights 1. On a single, quality exposure basis the television ad format is as effective now as it was in the 1980s 2. Rate of delivery of ad selling power per GRP has slowed requiring ~25% more GRPs to deliver same power to market as it did in the 1980s 3. More than mitigating this decline, the number of US households has increased by 45% 4. Despite a potential increase in distracted viewing, television advertising still maintains an effective frequency profile that is comparable to other media channels including digital

PRPs predict the sales impact of advertising It is simple to mathematically combine ads preference changing power with GRPs thus creating PRPs Highly predictive of sales Tremendous implication for improved ROI Source: MSW ARS, 2016

Case Study #1 Investment levels StarKist faced daunting task of releasing radical new product form in an 80-year stable category Ads needed to grow both line extension and brand overall PRPs based on planned GRPs predicted sales outcome of first wave and projections led to approval of second wave Predictions vs. Actuals Source: Shepard. A True Return on Investment Developing and Managing Advertising for StarKist Tuna in a Pouch; Quirk s Marketing Research Review, Mar 2003

The results from the initial advertising quarter yielded an ROI of 76 percent, an enormous improvement over the break-even ROI we had expected for the quarter using a traditional approach. Incorporating the costs and incremental profits involved with the unplanned or second flight, we were up to 368 percent return on our TV advertising activity. - Barry Shepard, StarKist VP of Marketing Source: Shepard. A True Return on Investment Developing and Managing Advertising for StarKist Tuna in a Pouch; Quirk s Marketing Research Review, Mar 2003

Case Study #2 Brand/portfolio optimization Major food brand measured all television ads for four brands over a 12 month period Results compared to market mix modeling calculated ROIs Goal: Implement system for allocating TV media weight based on the unique value of each ad in the portfolio for only as long as they are working Source: ARSgroup Innovative Business Solutions for the emerging ROMI Branding Environment 2006

Brand Preference Shift Pre-airing ad power varied dramatically both within and between brands 3.3 3.1 3.0 2.9 2.6 Brand A Brand B Brand C Brand D 5.9 5.5 4.3 2.3 2.3 2.8 2.5 1.5 0.6 0.4 0.7 0.7 0.2 Source: ARSgroup Innovative Business Solutions for the emerging ROMI Branding Environment 2006

Using PRPs, optimized allocations determined for brands as each ad went to air Advertised Product Commercial BP Shift Original GRPs 1 Optimized GRPs 2 Brand A Commercial A:60 5.9 34 166 Brand A Commercial B:60 5.5 116 65 Brand A Commercial C:30 4.3 42 106 Brand A Commercial D:30 3.0 36 18 Brand A Commercial E:30 2.9 58 29 Brand A Commercial F:60 2.6 162 81 Brand A Commercial G:30 2.3 35 18 Source: ARSgroup Innovative Business Solutions for the emerging ROMI Branding Environment 2006

Market Mix Modeling confirmed optimizations Even a 50% optimization yielded a 21% improvement in volume impacted, a $4.9 million increase in a quarter for the same media spend +21% Source: ARSgroup Innovative Business Solutions for the emerging ROMI Branding Environment 2006

Case Study #3 Television s Synergy In addition to its ability to build preference on its own, television is synergistic with other media It serves as the baseline for awareness It drives a significant portion of earned media online

Cross Platform Effectiveness 12% 15% 14% 9% 7% Source: 2016 Model #9, Potential Effectiveness Over 4 Weeks

17 34 51 68 85 102 119 136 153 170 187 204 221 238 255 272 289 306 323 340 357 374 391 408 425 442 459 476 493 Platform Exposure Impact on KPIS: Awareness 8.0% 7.0% 6.0% 5.0% 4.0% 3.0% 2.0% 1.0% 0.0% Incremental Awareness Over 4 Weeks By ESPN Platform Television Digital Video Audio Display Magazine Source: 2016 Model #9, Potential Effectiveness Over 4 Weeks Among P18-54

SPEED (Highest Effect Per Exposure) Broad Learning: How Platforms Drive Ad Awareness Size of bubble= Reach POTENTIAL (Maximum Effect Possible)

TV ADS DRIVE EARNED MEDIA ONLINE TV Other 24.9% 25.0% 33.8% SEARCHES VIEWS SOCIAL ACTIVITIES Source: ESPN XPE; ispot Modeling Exercise

Conclusion While not quite as vigorous as in its heyday, television still has tremendous power to move markets. A brand wanting to build its value must build brand preference. Moving from GRPs to PRPs is an effective way to do this!