Tech Talk with R/GA: Algorithmic Matchmaking

Post on 19-Oct-2014

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R/GA approaches media in the same innovative way as we do in our award-winning creative practice. We look at what the market is doing and apply different strategies and tactics to achieve brand goals. When everyone zigs, we zag. We’ll discuss how R/GA has recently built out our Media & Connections department with Data Scientists who specialize in the Decision and Social sciences to create algorithms, performance models and budget allocation scenarios for all types of advertisers and campaigns.

Transcript of Tech Talk with R/GA: Algorithmic Matchmaking

Proprietary & Confidential. © 2014 R/GA All rights reserved.

R/GA Media Connections

Digiday Retail Summit

January 30, 2014

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Marketing Science

sci·ence [sahy-uhns]

knowledge, as of facts or principles; knowledge gained by systematic study.

mar·ket·ing [mahr-ki-ting]

the total of activities involved in the transfer of goods from the producer or seller to the consumer or buyer, including advertising, shipping, storing, and selling.

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R/GA uses Decision and Social Sciences to

exploit undervalued opportunities

OUTSMART

Traditional media strategies typically look

to outspend the competition

OUTSPEND or

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OUTSMARTCREATIVE• Campaigns• Platforms• Products

OPPORTUNITIES• Audiences• Channels• Partners• Timing

AlgorithmicMatchmaking

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IntegratedSearch

Maximize collective returns across search

DMA Lift

Maximize performance in key DMAs

StaircaseApproach

Maintain engagement while growing Likes

Z-Flighting

Efficiently engage interest groups

PerformancePoints

Balance scale and efficiency

Sample Algorithms

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Algorithms to outsmart the competition

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Algorithms to outsmart the competition

Trading Desk

Planning/Buying

Findability/Search

Connections Planning

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Declared Interest: Gourmet Food

Facebook “Auction” Target

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We discovered an undervalued route to the audience

Declared Interest: Gourmet Food

Adjacent Interests:Celebrity News & Popular

MusicTarget

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Thank You.Dan Fradindan.fradin@rga.com