adtech SF 2012 The next big idea by Jeff Crowe
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Transcript of adtech SF 2012 The next big idea by Jeff Crowe
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The Next Big Idea:
VCs Weigh in on Their Big Bets
for the Future
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The Next Big Idea
Moderator: Jeff Crowe, General Partner, Norwest Venture Partners (NVP)
Panel:
Mark Siegel, Managing Director, Menlo Ventures
Indy Guha, Senior Associate, BainCapital Ventures
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Key Themes
Key themes we will be covering today:
1. Big Data
2. Social / Mobile
3. Personalization + Scale
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The Next Big Idea: Big Data for Marketers
How machine learning is unlocking deep customer insights and revenue for next gen marketers
Indy Guha
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We have Big Data. Now what?Data is the future… and marketers want more than ever
“By 2017, a CMO will spend more on IT than the CIO.” —Gartner Group
… but are unable to optimize our business around it
“Despite the large quantity of data that marketers may acquire, 42% said it was still too difficult to tie that data back to individual customers, and 45% said personalizing marketing communications—closely related to linking data to customers—was a major challenge.”
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Answer: Cloud Marketing Solutions
Goal – Go beyond data. Deliver revenue and profitability.
DNA – Data mining, analytics and machine learning.
Improving product search and discoverability
Personalized user reengagement & retargeting
Personalized optimization of marketing & merchandising
Mobile app user acquisition platform
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The Solution
Real-time, algorithmic natural search discoverability product
Relevant content gets discovered via natural search traffic revenue
Dynamic routing and optimization of landing pages
Increases the ratio of paid clicks to conversions
The Tech
Web Relevance Engine 1B+ web pages crawled.1B+ user interactions interpreted. 1K+ Hadoop jobs.All daily.
Intelligent Page Router with real-time, dynamic content creation
Results
80% more traffic
50% better ROI on advertising
Custom
ers
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The Solution
Transactional retargeting - using machine learning to identify most valuable shoppers and serve highly personalized ads / coupons
Personalization includes:• Showing ads based on
user’s browse/buy history• Keeping inventory in sync -
products imported real time• Managing impression
frequency
The Tech
In Dec 2011: Handled 9.5B web requestsMore than 10K requests per second at peak traffic
Reached 23MM unique users
Received clicks from 9 out of every 100 users
Results
5%+ revenue growth / 10s of millions of $$
Personalized ads are an extension of the UX 10x better click through rates
Custom
ers
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The Solution
Turnkey marketing platform for mobile app ecosystem without complexity of managing multiple sources:• Ad networks & exchanges• Incentivized download
networks• Email and SMS
The Tech
SEM-inspired algorithmic optimization across 3 dozen sources for paid downloads
Algorithm tuned over 140MM downloads and over 6.5B app opens
Results
100+ clients / 150+ apps / 140MM+ downloads
10X+ sales growth YoY
Custom
ers
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The Solution
Personalized optimization of marketing (channel, promotion) & merchandising
Sample output (for each user)• Top X favorite brands • Price / offer sensitivity• Relevant merchandise• Optimal media touch points
The Tech
Taste Cube – aggregate transaction data, product attributes, reviews, web logs, etc. to drive deep modeling of customer behavior
Modeling on 3 dimensions• Product (attributes, feedback)• Price / value (sensitivity to promotions)• Time (seasonality, trends)
Evoke different ways to engage the user
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The Next Big Idea:Monetizing Social and Mobile
Mark Siegel, Managing Director, Menlo [email protected]
@msiegel11
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Social/Mobile are fastest growing Ad segments…
2011 U.S. Ad Spending vs. Consumer Time Spent by Media
Sources: VSS, Mary Meeker (KBCB), comScore, Alexa, Flurry Analytics
Ad Spend Per Media Time Spent per Media
29%
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…but Conventional Advertising Doesn’t Work
Source: Microsoft Tag
Social Media Use Mobile Phone Use
Source: IBM Institute for Business Value analysis, CRM Study 2011
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• Mobile Analytics
• Audience segmentation
• App promotion
• Targeted advertising with broad reach
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• Look-alike targeting in display advertising
• Now applied to social graph
• Brand affinity with new customers
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• Social Promotions
• Audience engagement
• Campaign management
• Analytics
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Will TV Lose Share of Ad Revenue?
• 30-40% connected TV penetration in 2012
• Over-the-Top content delivery WILL happen
• A new licensing and advertising model
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The Next Big Idea:Personalization + Scale
Jeff Crowe
General Partner
Norwest Venture Partners (NVP)[email protected]
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Personalization + Scale
• The combination of personalization and scale together drives greater value for consumers and consequently more valuable companies
• As consumer scale grows, the personalization becomes more valuable, which in turn drives more scale
• This applies to e-commerce, digital couponing, online publishing, digital advertising
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Online Publishing
Since launch, company more than 10 X‑ed average click through rate on the network (from about 0.6 percent to over six percent)
Currently serves more than 20 billion links to content each monththrough placement on premium content sites
Outbrain offers publishers the ability to deliver personalized content to readers on the fly and at scale in order to increase recirculation and generate more revenue
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E-commerce
Enables crowd-sourced product conceptualization, design and commercialization that results in more popular consumer products to sell online and through retail
195k Global Community Members
1500+ Idea submissions per week
7,000: Number of retail doors Quirky products can be found in worldwide (Target, Bed Bath & Beyond, The Container Store)
70 Employees (up from 27 in April 2010)
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Digital CouponingWhaleshark Media and its consumer site, RetailMeNot, drive increasingly personalized coupons and deals to consumers at scale.
Better results lead to better deals from merchants, which in turn leads to more traffic and increased scale.
Monthly visits (U.S.): 30 million
# Coupons: 500,000+
# Merchants: 100,000
GMV: $1.7 billion
Revenue (2011): $80 million
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Online Advertising
Turn, utilizes massive scale and machine learning to target increasingly refined audience segmentation and personalized brand, video and mobile advertising
700 million uniques
500,000 decisions per second
30 billion transactions per day
1 petabyte of campaign performance data stored
1.5 trillion customer attributes managed
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