demystifying programmatic tv - 4c webinar - sept 2016
TRANSCRIPT
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Limitations of today’s audience building methods
Purchase data, survey data, CRM/1st party data is not ideal for building audience targeting segments for television
Not great for prospecting new customersSmall sample sizeLack of customizationLag time slows you down
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Social Audience Targeting
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CUSTOMIZATION
Create your ideal definition of a target audience not one that’s pre-packaged
Target audiences never available to you before
SPEED
Use fresh data versus studies done months or years ago
Leverage a rolling data set of recent consumer behavior
SCALE
1.6 billion people vs. 40,000 households
Unbiased, demo audiences in local markets can be small and invite bias to your targeting and measurement
Examples of Social Audiences
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Consumers who have engaged with
your brand on social media.
Consumers who use certain keywords or
mention specific social handles.
Consumers who have engaged with specific programs
and movies.
Consumers who have engaged with
your competitors but not your brand.
Social engagement is already a key indicator for TV marketers
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“A few years ago, the only thing that mattered was ratings. Now what
matters more is the level of social engagement around the content.”
Keith Hindle, CEO, Digital and Branded Entertainment, FremantleMedia
The first market solution for TV advertisers to target customizable audience segments based on
the real actions, interests, and connections of over 1.6 billion social media consumers
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4C’s Data Science Approach to Social Data
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4C’s data science detects the strength of connection between hundreds of millions of consumers and brands on Facebook and Twitter.
This scoring system of trillions of social interactions to determine the strength of connection between consumers and brands
This patent-pending Affinity Analysis has had market success for years:
4C’s industry leading self-service social advertising platform offers powerful, Affinity-driven targeting segmentation that outperforms native platform targeting
4C’s differentiated analytics suite leverages Affinity data to help brands, agencies, and networks better plan and allocate marketing resources
SOCIAL ADS:
ADVERTISING ANALYTICS:
Affinity Analysis of the Target Audiences
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1. Tap into Facebook and TwitterPublically available, non-PII engagement data
Billions of engagements, trillions of calculations
2. Identify your target audiences
3. Score social media consumers by affinity
4. Build TV program “fingerprint” of that audience
TV viewing patterns cross demos
“You are what you watch”
5. Score the TV program affinity (4C patent pending algorithm)
Correlate to Respondent Level Data
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Match to linear panel• Works with what you’re doing today but applicable to any
viewership data set
Output respondent level target for loading into an optimizer/planner
Fits into Your Existing Process
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Load output into any analysis system supported by NPM respondent level data (i.e. NPower) to create custom audiences
Load into optimizer (Tardis, Lake 5, Rovi, etc.)
Rank custom audiences(Programs, networks, dayparts, etc.)
Plan and buy based on custom audiences
Post-Campaign Measurement
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Reach Measurement • Did I reach more of my custom audiences or not?
Response Measurement• 4C provides social engagement lift
Closed Loop
• Measure back to objective metrics
• Sales, leads, etc.
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TV Ads Optimized to Social Audience Segment For a Major Motion Picture
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Step 1
4C analyzed the people who historically engaged
with a list of recent, successful films which were
similar to the studio’s upcoming release.
Step 2
4C mapped that affinity behavior to respondent
level TV viewership data in order to form a targetable audience segment for TV
advertising.
Step 3
This socially-optimized target audience segment was then
input into Turner Broadcasting’s TargetingNOW product which
produced an optimal TV schedule for the four-week marketing campaign leading up to the release of the film.
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The result was measured by analyzing the lift in social engagement that occurred within 2 minutes before and 2 minutes after each commercial for the film aired, across each TV ad that ran for the entire film campaign on all TV networks. We then aggregated the lift scores for each TV ad and calculated Turner’s average lift versus other cable networks’ average lift.
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The optimized Turner schedule generated a 2.89x lift in social engagement with the film versus other cable advertising during the same period.
Measurement and Results
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For more information…
For more information on Programmatic TV, download our white paper.
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