rank dynamics presentation

October 16th, 2015

Product & Company Presentation

Mark [email protected]

©2015 Rank Dynamics | All Rights Reserved 2

Vision

Transform search into adynamic experience where

fluid result pages respond to user actions in real time


eBay Test #1: Splitting Traffic


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)


eBay Test #2: Result Interleaving

More relevant products

+9% increase in CTRbeyond top 10 results for queries with 200+ results

+9% increase

in CTR


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


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


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.


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


Instantaneous Relevancy & Re-ranking “On the Fly”

Rele

vanc

e

Rank

Results are targeted using instantaneous user intent model.

Recalculated relevancies as determined using instantaneous user intent model

Inst

anta

neou

s Re

leva

nce

©2015 Surf Canyon Incorporated dba Rank Dynamics | All Rights Reserved 10

dolphins

Subsequent result pages dynamically ranked in real-time!

Real-time recommendations

based on your activity


Organic Results

Completely customized page two

Real-time Contextualizationfor Shopping

The real-time inferred intentmodel 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


SubsequentShopping PagesContextualized

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


Real-time Contextualizationfor Image Search

Real-time Contextualization with a grid layout.

Behavior signals trigger immediate contextualization with grid results. Subsequent pages, even with infinite scroll, are contextualized in real-time.



The Team

Mark CramerCEO

Mike WertheimChief 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


Milestones

2008 2009 2010 2011 2012 2013 2014

Feb 2008Launched browser extension

Apr 2008Closed $600K in seed funding

Jan 2009Favorably reviewed in the Mossberg Solution column of the WSJ

Jul 2009Research published by SIGIR: “Demonstration of Improved Search Result Relevancy Using Real-Time Implicit Feedback”

Aug 2009Launched search engine, achieved 1 million downloads and 100 million cumulative queries

Jan 2012Awarded patent “Dynamic Search Engine Results Employing User Behavior”

Feb 2012Awarded patent “Adaptive UI for Real-Time Relevance Feedback”

Dec 2012Surpassed 6 billion cumulative queries

Sept 2011Surpassed 10 million queries per day – 2.8 billion cumulative queries

Apr 2013Awarded patent “Real-Time Implicit User Modeling for Personalized Search”

Dec 20145th patent

issued

rank dynamics presentation

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