SceneFlash is developing a mobile app and platform that analyzes TV and movie content to provide contextual information, ads, and commerce links to viewers on their second screens. The platform mines libraries of shows and films to map marketing opportunities to high-converting mobile ads and commerce links. It uses scene analysis, user data, and rules to precisely target ads and content to viewers in real-time based on what they are watching and their interests. SceneFlash aims to scale its content efficiently through software and crowdsourcing while avoiding dependencies on studios or networks.
2. Team
Robert Quinn: CEO Luis Galvez: Marketing VP
Eight-year CTO, Epocrates (IPO) Marketing Director, Warrior Films
VP, InPart Design (acq. by PTC) Communications Director, Rescue Reel
Senior Manager, IBM Business Development
Analytics, AI, Cognitive Modeling
Geppy Parziale: Mobile Architect Sudhir Rao: Server Architect
Senior iOS/Mac Engineer, Apple Inc. Lead Rails Developer, Success Factors
Co-founder, iNVASIVECODE Senior App Engineer, Cisco
Head of iOS Eng at Chirpr
3. A major business...
...of the last decade: Contextual Web Ads
The Context
“Screen”
The Ad Space
eneFlash Confidential
4. A major business...
... of this decade: Contextual Second-Screen Ads
The Context
The Ad Space
SceneFlash Confidential
5. Why now?
Mobile Commerce is exploding.
Over a third of women made over half
their 2011 holiday purchases on mobile
devices.
PayPal saw a more than sixfold increase
in global mobile-payment volume on
Black Friday, much of it at home.
Mobile ad tap-thru spikes in prime time,
with high conversion rates.
SceneFlash Confidential
6. Introducing
We analyze all contexts
We mine the libraries of TV shows
and movies for great mobile Ad and
mCommerce launch points,
map them to live, high-yield brand
and mCommerce links, and
deliver them to our mobile app
or yours in sync with the Univision show
SceneFlash Confidential
7. We create connections
We anticipate questions related to every scene
and answer them in sync with the action and
keep viewers deeply connected with their shows
“ Who is that actress?
Where can I buy that dress?
Where have I seen her before?
What have my friends said about this
episode?
Where did they film this?
”
SceneFlash Confidential
8. We create opportunities
We identify the marketing launch points and
map them to high-yield mAds and mComm links
“ Who is she dating now?
Who is that actress?
What brand is that leather jacket?
What happened in the last episode?
Where can I buy that computer?
”
buy now
SceneFlash Confidential
9. Smart Targeting
When our app tells our server:
In March, 2012, a woman in her 30’s with a tap history of fashion and
travel interest is watching a fashion-centric scene of her favorite show
Using our title scene repository and rulebase,
we dynamically identify for that date, viewer
and scene:
1. Highest-yield mAd and mComm category
(travel? handbag?) and the
2. mAd network and mComm sources with the
• best-match inventory for scene and viewer
• highest publisher %
• most mobile-friendly UI
SceneFlash Confidential
10. Business Model
SceneFlash App
to Synced companion app
Served
SceneFlash Server
Rev share $in Time-stamped content, contextual ads,
mCommerce links for TV shows and
movies
Rev share $out
Partner
Provides visibility for app
in electronic programming This is Santa Monica Beach
guide if available on tablet This beach is ten
or smartphone minutes from LA.
Win a trip for
two to LA
The Porsche 911 Turbo
The 911 has a top
speed of 189 mph
with the top down.
Mobile Commerce set Test. Drive. This.
to reach $31B by 2015*
* eMarketer Digital Intelligence, January 2012
SceneFlash Confidential
11. SceneFlash Scalability
Independent Process Content Team
No dependency on studios or networks Crowd of low-cost part-time
means we can set our own fast pace contractors with targeted expertise
Unique Software Increasing Efficiency
Powerful development software enabling Cost and time per title decrease
efficient parallel content development with growing repository of data
12. Competitive Advantages
Engaging, original, scene-specific content at scale
Founder experience with software-supported ‘human content assembly lines’
Most precise and comprehensive targeting
Scene context, user tap analytics, mTail rule base
Marketing opportunities creatively mined and mapped to high-
conversion contextual ads and deep mComm links
Fashion, Accessories, Furnishings, Gadgets, Cars, Travel, Services
Focus on time-shifted viewing enables focus on deep title base
without partnership and process hurdles
Current, back-catalog, international-- with no studio/network bottlenecks
13. Roadmap and Financials
Develop
SceneFlash SceneFlash Beta Distribution Content
Studio V2
Studio V2 iOS Content Beta Test Partnerships Build-out
4Q11 1Q12 4Q12
Now
By YE2013 Break even
Target: 50 TV Episodes, 10 films per month
At YE2013 Gross revenue per title : $10000+
Content cost per title : $500-$1700
$750K in seed funding for content and team build out, server software,
Need: Ad network and affiliate partnerships, and publishing partner integration.
16. Audience Segmentation
Content/Ad Mobile Commerce At-Home
Ad Network/Agency
Publishers Site/Dealer Viewer
Establish SceneFlash as Establish SceneFlash as Establish SceneFlash as
Marketing Establish SceneFlash as an
a key partner for Second the preferred living room the TV viewers sole
Objective ideal system for ad metrics
Screen Viewership link to mCommerce sites second screen option
At-a-glance answers
Engagement
to questions about
Metrics boost from targeting Stickiness
actors, story, location,
individual viewers in context Monetization
Referrals for mobile fashion, props, music,
with TV/Movie content (Ad revenue share)
Value and online purchase of etc.
Proposition products, services and
Analytics intelligence from 2nd Screen Adoption
local deals Easy, in-the-moment
embedded product and tap
access to product info
data Nondisruptive
and purchase
advertising