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Exchange-based media buying has achieved both scale and efficiency. But it is still working on efficacy. Sunil Sharma, CEO of InferSystems, will provide an exclusive preview of his new white paper dealing with these issues and share a more dynamic model of the vectors along which exchange-based media buying is likely to travel to achieve efficacy. He will also discuss the relative positions and possible strategic moves of market participants as they strive for utopia. Presenter: Sunil Sharma, CEO, InferSystems @sunilinboston
Citation preview
The Pulse of RTB
A view through the crystal cube
August 16, 2012By: Sunil Sharma
CEO, InferSystems
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Anything can be called “optimization” these days
Calibration
Thrust vector fulcrum
But, is it meaningful and valuable, or jargon? What really matters?
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Today’s discussion points
1. The “Crystal Cube” market dynamics model
2. How IBM reached Utopia (the real story)
3. Ad tech DNA types
4. Implications surrounding ad tech’s key elements
• Data
• Technology
• Mathematical systems
• People
5. Obstacles to the market’s advancement
6. Final thoughts
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RTB’s future is likely to move to effective advertising along three key vectors: scale, efficiency, and advertising impact
(Utopia)
Best strategy: meaningful contribution(s) toward Utopia (effectiveness)
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A classic example of success by focusing on the market and its future is IBM’s turnaround under Lou Gerstner
The IBM story has been told countless times, but not correctly…
…. That IBM divested hardware and became a services company is a myth…
…. IBM jettisoned the commoditized crest, doubled down on mainframes, and launched services and software businesses to become more client focused…
….Need proof?
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IBM’s Sequoia is the world’s fastest supercomputer; and 5 of the top 10 fastest supercomputers are made by IBM
Speed Rank Name Company
1 Sequoia IBM
2 K computer Fujitsu
3 Mira IBM
4 SuperMUC IBM
5 Tianhe-1A NUDT
6 Jaguar Cray
7 Fermi IBM
8 JuQueen IBM
9 Curie Bull
10 Nebulae Dawning
IBM changed aspects of its strategy, not its DNA
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A company’s DNA can be anything, but it survives and thrives only by moving a market toward the future, toward Utopia
Data: aggregate and organize
Technology (any methodology): scalable, efficient, effective execution
New mathematical systems: redefine meaning and usage of data; find hidden value fast
People: Vision and strategy
Differentiation potential
There are 4 key competencies available around which an ad tech business can be built
•But effectiveness (Utopia) cannot be achieved without all 4•So, to thrive, a company must either excel at all, or collaborate
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Data is the most basic element because it contains the information; but it is largely poorly defined and misused
Data: aggregate and organize
Technology: scalable, efficient execution
New mathematical systems: redefine meaning and usage of data; find hidden value fast
People: Vision and strategy
What is data? An audience segment only?
Url is dataContent and context is data
Ad location is data
Creative type is data
But most of this data is currently wasted, resulting in wasted ad spend and a less than “fair shake” for premium publishers
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Technology is the infrastructure, the backbone of ad tech and RTB media buying
Technology: scalable, efficient execution
New mathematical systems: redefine meaning and usage of data; find hidden value fast
People: Vision and strategy
Publisher Ad server SSP
ExchangeDSP
DMP
Trading desk Agency Advertiser
NetworkConsumer
DMPDMP DMP DMP
Supply DemandTechnology: provided by intermediaries; valuable but commodity; pricing, scale, dependability, services matter
Commodity isn’t necessarily a bad word; oil and water are commodities
Mathematical systems
Data providers
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Mathematical systems: must simultaneously, quickly, and repeatedly model all variables to know what is really valuable
Variables Audience segments Ad placement, creative, browser, time, etc.
Variables Thousands of variables: used to find campaign level performance fast
Typical (regression based) optimization systems
More advanced mathematical systems
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Used Unused
Thousands of variables are wasted
•Advertisers get efficacy benefits from their valuable data•Publishers get a fair deal; credit for the real value they deliver•Agencies are able to take advantage of their creative talents
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The most important thing to remember about data is that it is deaf and mute; it cannot tell us anything
We tend to hear and see what we want to; what aligns with our incentives
…. Which resulted in tragic consequences for poor Galileo
But he was right because he used science and didn’t take the path of least resistance
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And, the human being is still the single most important factor; asking the unasked, imagining the unimagined
This is self evident; and needs no explanation….
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But as always, our greatest strength is our greatest weakness
Ad tech suffers from “innovation fatigue” and turf wars over arid land
But with so many pages unwritten, the winners will be those who keep moving toward the pastures of Utopia… and aren’t afraid of a few rough patches….
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(Utopia)
Ad tech is not a zero sum game… Let’s imagine Utopia, chart a course, and get there together…