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Rank Dynamics Presentation
- 2. ©2015 Rank Dynamics | All Rights Reserved
2
Vision
Transform search into a
dynamic experience where fluid
result pages respond to user
actions in real time
- 4. ©2015 Rank Dynamics | All Rights Reserved
4
eBay Test #1 (cont.): Substantial Increase in Sales
Increased
Engagement
+32% increase in sales
+30% increase in bids + sales
+3.4% increase in clicks from SERP
+8.2% increase in clicks from SERP beyond top 10 results
Z-test for comparing two binomials:
+33% improvement with 98.8%
confidence (z-score -2.25)
- 5. ©2015 Rank Dynamics | All Rights Reserved
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eBay Test #2: Result Interleaving
More relevant
products
+9% increase in CTR
beyond top 10 results for queries with 200+ results
+9%
increase
in CTR
- 6. ©2015 Rank Dynamics | All Rights Reserved
6
Benefits Delivered
Value Proposition
Distribute technology to web
as well as mobile searchers
• Deliver technology to build “dynamic ranking” into shopping search
• Integrate seamlessly into existing platforms, back-end systems and
new product development
Enhance retention and
increase engagement
Increase bids, sales
and revenue
• Boost RPS with real-time shopping contextualization
- 7. ©2015 Rank Dynamics | All Rights Reserved
7
The Problem with Search
A search can return thousands or
millions of results.
Current search engines:
• Include irrelevant content in the results
• Misinterpret users’ search terms
• Have difficulty handling multiple or
changing intents
• Return predetermined, static result sets
Users often have to dig through pages of results or
reformulate their query in order to find what they need
- 8. ©2015 Rank Dynamics | All Rights Reserved
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Real-time Contextualization for Shopping
Proprietary technology
processes search results
post-query to bring
forward the content that
is most relevant. Now.
Fossil SEARCH
Rank Dynamics surfaces the
relevant search results based
on real-time user actions.
- 9. ©2015 Rank Dynamics | All Rights Reserved
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Customized Subsequent Pages
Navigating to a
subsequent page will
produce an instantly
contextualized experience.
Fossil SEARCH
Works with traditional pagination
as well as infinite scroll
Boost
Activity
+33% increase in bids and sales
- 10. ©2015 Rank Dynamics | All Rights Reserved
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Instantaneous Relevancy & Re-ranking
“On the Fly”Relevance
Rank
Results are targeted using instantaneous
user intent model.
Recalculated relevancies as determined using
instantaneous user intent model
InstantaneousRelevance
©2015 Surf Canyon Incorporated dba Rank Dynamics | All Rights Reserved
10
- 11. dolphins
Subsequent result
pages dynamically ranked
in real-time!
Real-time
recommendations
based on your
activity
©2015 Surf Canyon Incorporated dba Rank Dynamics | All Rights Reserved
11
Organic Results
Completely customized page two
- 12. Real-time
Contextualization
for Shopping
The real-time
inferred intent
model is used to
contextualize a
shopping experience.
Behavior signals will immediately
produce a dynamic response,
significantly facilitating the
shopping experience.
digital camera SEARCH 1 2 3
©2015 Surf Canyon Incorporated dba Rank Dynamics | All Rights Reserved
12
- 13. Subsequent
Shopping Pages
Contextualized
Navigating to the next
Shopping page will
produce an instantly
contextualized page 2.
Subsequent page
contextualization can
produce improvements in
CTR beyond 40%.
SEARCH 1 2 3digital camera
©2015 Surf Canyon Incorporated dba Rank Dynamics | All Rights Reserved
13
- 15. ©2015 Rank Dynamics | All Rights Reserved
15
The Team
Mark Cramer
CEO
Mike Wertheim
Chief Architect
• Founder of Rank Dynamics
• Over 20 years of technology industry
experience, from engineer to executive
• BS in Electrical Engineering from MIT
• MBA from Harvard Business School
• Over 20 years of software development
experience
• Content reviewer on the book
"Bitter EJB," published by
Manning Publications in 2003
• BS in Computer Engineering from
Carnegie Mellon
- 16. ©2015 Rank Dynamics | All Rights Reserved
16
Milestones
2008 2009 2010 2011 2012 2013 2014
Feb 2008
Launched
browser
extension
Apr 2008
Closed $600K in seed funding
Jan 2009
Favorably reviewed in the Mossberg Solution
column of the WSJ
Jul 2009
Research published by SIGIR:
“Demonstration of Improved Search
Result Relevancy Using Real-Time
Implicit Feedback”
Aug 2009
Launched search engine,
achieved 1 million
downloads and 100 million
cumulative queries
Jan 2012
Awarded patent “Dynamic Search Engine
Results Employing User Behavior”
Feb 2012
Awarded patent “Adaptive
UI for Real-Time Relevance
Feedback”
Dec 2012
Surpassed 6
billion
cumulative
queries
Sept 2011
Surpassed 10 million queries per
day – 2.8 billion cumulative queries
Apr 2013
Awarded patent
“Real-Time
Implicit User
Modeling for
Personalized
Search”
Dec 2014
5th patent issued
