Programmatic buying presents many opportunities for brands including increased scale, efficiency, control, and precision. To date, programmatic has been widely adopted across direct response campaigns, but the tide is shifting and brand dollars are beginning to activate against programmatic channels. Questions around transparency and effectiveness still remain.
Join Andrew S. Feigenson, managing director of digital at Nielsen, as we uncover brand measurement best practices to help both buyers and sellers extract maximum value from programmatic.
What does the future of programmatic look like? Brand marketers will continue to invest in this area.
Though the way media is being bought and sold has changed, advertiser’s fundamental marketing objectives have not changed. Marketers still need their ad to reach the right audience, resonate with the audience, and drive them to the desired action (e.g. purchase, viewership). Programmatic’s promise to brand advertisers have largely been in reaching the right audience, but has not done much to bring more efficiency around resonance and reaction.
Programmatic’s promise lies in automation and machine based learning. The idea that the “right formula” is already built into the algorithm may make measurement unnecessary. However, marketer’s should not just take someone’s word that the algorithm is right for them. Because of it’s automated nature, and because of the convoluted chain of players involved, anything that is “off” can replicate itself very quickly, turning small problems into very big ones.
Measurement can provide the transparency that is missing today. It provides the proof points that brand advertisers are looking for. It can also be used to identify the behaviors and characteristics that brands are looking for at scale, enabling the improvement of programmatic buying.
Understanding reach, resonance and reaction – the three Rs – is the foundation of our business. Reaching specific audiences will remain a core strategy for advertisers— focused on reaching the right consumers, not simply the most people. Indeed, the need for impact-based rather than reach-based advertising mechanisms will be a principle factor leading the convergence of TV and online.
As true cross-platform measurement is enabled, as well as the use of resonance and reaction insights to tie in media investments to business outcomes, we believe this will start to begin to shape the ad market for television.
What I am going to walk you through in the next 15 minutes is Nielsen’s approach to cross platform that we believe will enable Web-style precision marketing and audience-based delivery that will help set the stage for a future convergence between TV and online video
Here are some examples of how our customers are using measurement in a programmatic world
Marketers have used solutions like Nielsen Online Campaign Ratings to ensure that their programmatic campaigns are actually meeting their brand objectives, and reaching their target audiences. It’s tempting in a programmatic world to “trust in the algorithm”, but the data sources that the algorithm is based on isn’t always accurate. Platforms, you can use this approach to audit your data sources, and get a better internal understanding of where certain audiences are on your network
Measurement doesn’t just have to be about accountability though. What’s exciting about programmatic platforms is the increased ability to take hundreds of data points to improve campaign delivery. One of those data points can be the measurement itself.
For example, one of our clients, a video advertising platform (TubeMogul), wanted to provide TV comparable metrics to attract more brand advertisers to their video platform.
Solution
Used OCR to measure GRP, age/gender metrics
Used API to pull those metrics into their interface
Run this on everything, allowing them to start to predict, at the placement level, age/gender reach
Built this into their platform to allow
Customers to plan and buy based on GRP
Platform to automatically optimize age/gender audience delivery
CAMPAIGN BACKGROUND:
Client: service software company, large TV spend
Demo: P18-29
Shifting budget from spot TV to Online Video
In-target guarantee for Online Video
Nielsen Cross-Platform Campaign Ratings as the basis for audience guarantee
We saw an instance in which a selling/buying algorithm may not have been built using the most accurate data. Another “watch out” brand marketers have in a programmatic world is to make sure that what they’re focused on is even part of the decisioning factors that inventory is bought and sold with – that it’s even part of the algorithm.
Many different information sources can be used as a “proxy” for brand opinion, but unless this is verified with a brand-focused measurement solution, it won’t be clear if the campaign actually achieved the brand marketer’s objectives.
Measurement doesn’t just have to be about accountability though. What’s exciting about programmatic platforms is the increased ability to take hundreds of data points to improve campaign delivery. One of those data points can be the measurement itself.
For example, one of our clients, an agency trading desk (Annalect) wanted to ensure that their campaigns were consistently achieving their brand KPIs – brand lift.
Solution
Used OBE to measure brand lift
Used API to pull those metrics into the programmatic platform they were working with
Platform auto-optimized campaign delivery, shifting impressions to placements, sites, frequencies, and creatives that were driving higher brand lifts
Platform also pixelled positive brand responders and built a look alike model to deliver the campaign to similar positive brand responders, increasing reach.
This allowed the trading desk to ensure they were driving brand lift (via optimization) at scale (via look alike modelling).
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The promise of programmatic is that it is supposed to be more efficient. No matter how advertising is bought, advertisers at the end of the day need to ensure that it’s driving the desired reaction, whether that be sales or tune in, in order to justify continued investment.
Marketers are always looking for opportunities to get the most from their advertising budgets. One of the challenges of successfully executing an integrated campaign across platforms is ensuring budget is not being wasted by reaching the same audience with the same message too many times, across their devices.
CHALLENGE: At the beginning of the busy holiday season, a luxury auto brand wanted to maximize the effective reach of their national TV advertising using digital media to fill in audience gaps. They wanted to minimize the impressions wasted on their A25-54 audience already exposed to the TV campaign 3 or more times.
More than half of TV GRPs were delivered to just 14% of the population, yielding an over-exposure
61% of the target population remained un-exposed or under-exposed
SOLUTION: Use TV viewing behavior data to focus delivery of digital campaign to unexposed and under-exposed audience.
Create custom segments based on audience exposure to TV campaign
Review the TV plan programming details and audience based on Nielsen panel – the networks, genres, shows, day-parts and exposure
Develop custom “TV Extension Audience Segments” – apply look-a-like models based on thousands of characteristics including demographics, technology and location
Deploy digital programmatic video campaign to deliver TV extension
Measure audience
RESULTS: 3% incremental reach from digital advertising.
32% of digital impressions were served to audience never exposed to TV campaign
Frequency Extension to under-exposed audience: 6% reach for audience exposed less than 3 times to TV advertising
Marketers are always looking for opportunities to get the most from their advertising budgets. One of the challenges of successfully executing an integrated campaign across platforms is ensuring budget is not being wasted by reaching the same audience with the same message too many times, across their devices.
CHALLENGE: At the beginning of the busy holiday season, a luxury auto brand wanted to maximize the effective reach of their national TV advertising using digital media to fill in audience gaps. They wanted to minimize the impressions wasted on their A25-54 audience already exposed to the TV campaign 3 or more times.
More than half of TV GRPs were delivered to just 14% of the population, yielding an over-exposure
61% of the target population remained un-exposed or under-exposed
SOLUTION: Use TV viewing behavior data to focus delivery of digital campaign to unexposed and under-exposed audience.
Create custom segments based on audience exposure to TV campaign
Review the TV plan programming details and audience based on Nielsen panel – the networks, genres, shows, day-parts and exposure
Develop custom “TV Extension Audience Segments” – apply look-a-like models based on thousands of characteristics including demographics, technology and location
Deploy digital programmatic video campaign to deliver TV extension
Measure audience
RESULTS: 3% incremental reach from digital advertising.
32% of digital impressions were served to audience never exposed to TV campaign
Frequency Extension to under-exposed audience: 6% reach for audience exposed less than 3 times to TV advertising
Programmatic, because of it’s automated nature, has unique measurement needs. Brand measurement in a programmatic world needs to be…
BRAND FOCUSED
…address the fundamental brand objectives that marketers are trying to achieve, online and across screens
ACCURATE, STABLE
…more accurate and stable than the modelling being used for the programmatic buy in the first place
REAL-TIME
…real-time in order to make and assess the impact of in-flight optimizations
GRANULAR
…granular enough to identify the specific campaign components on which to take action
ACCESSIBLE
…have the ability to be funneled directly into your platform for you to take action on it at scale
INDEPENDENT
…from a neutral, third party source to remain unbiased