Yieldbot dramatically improves your performance with a new channel of premium keyword
inventory and true real-time matching of your consumer Intent. Learn more
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The lifeblood of Yieldbot is our dynamic Intent Graph® created by capturing and shaping the constant flow of events on our Publishers. Analysis of site-events, both in real-time and historically provides a continually updated data loop that includes site, click-stream, referrer and page-level dimensions around Intent. After a few weeks of learning the Intent Graph powers real-time ad matching decisions with performance tracked to optimize future decisions. The longer Yieldbot is on a Publisher the more intelligent and valuable the Intent Graph becomes. This is true business intelligence.
Delivering relevant advertising based on real-time Intent is a challenging problem that requires intelligence, and lots of it. At Yieldbot we employ bleeding edge data science to collect, identify, organize and act on Intent data in real-time. Across the platform we do supervised and unsupervised learning, inference, optimization, time series modeling and prediction amongst other approaches. Collecting, cleaning, storing and extracting value from the massive amount of first-party generated by publishers today is the job of Yieldbot's data science team. While data science has found a home on many research teams or smaller groups within larger companies, there are far fewer companies doing real applied data science in production as Yieldbot does. Building on top of a strong foundation of proven technologies such as Hadoop, Cascalog and Lucene, Yieldbot is able to apply our knowledge to increase value for both publishers and advertisers.
Yieldbot has been recognized by the Massachusetts Technology Leadership Council as a “Big Data Innovator” and MITX as an award finalist in the “Analytics/Business Intelligence” category. Our Big Data Analytics development is in Cascalog, a Clojure-based DSL implemented on top of the Hadoop Cascading API. Our intelligent UI uses the latest libraries like D3.js and CrossFilter.js for dynamic and interactive navigation of large complex data. In the middle-tier and backend systems we use technologies such as Celery, Redis, ElephantDB and Storm. We manage our deployments, development environments, and complete node configuration with Chef. If you are interested in working with this type of technology please drop us a line.
Yieldbot is built to crunch publisher data - lots of it – with the express purpose of understanding ‘why” every landing, click and exit is happening on your site. Our technology captures data and distills it into Intent-based analytics for the people visiting and pages viewed on your site. As a web publisher visitor Intent is arguably the most valuable data about your business. We’ve spent the past two years building a technology for publishers to understand it.
A Bridge to Search Budgets
Yieldbot gives you more than analytics on Intent. We turn Intent data into dollars for you. New dollars. Our platform has been built to enable you, for the first time, to do business with digital advertising budgets of Search and Keyword buyers. They spend twice as much as the ad budgets you have already built your business around. There is $46 Billion (eMarketer Search Spend 2013 estimate) of ad budget out there waiting for you once you have Yieldbot live. We are delivering it right now to Publishers and it is performing phenomenally. What are you waiting for?
The Yieldbot Publisher Pledge:
1. It’s Your Data. It is only used with your media.
2. It’s Your Audience. Our analytics about their Intent is free.
3. It’s Your Media. We work with you as a buyer or seller.
Are your other partners willing to sign that pledge?
Contact us for More Info
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A New Keyword Channel
Intellectually we know that consumer Intent is not only in Search. In fact there is more consumer Intent in content. Yet, before Yieldbot it was not being captured. Yieldbot is the first technology built to capture Intent outside of Search and enable Advertisers to keyword match their ads to Intent in real-time. In the process Yieldbot has not only created a new kind of publisher inventory but a new channel.
Outstanding Performance Driven by Real-Time
Our session-based decisioning provides the most relevant match of consumer and message in environments rich in context and making use of precise message timing to ensure performance. For a number of advertisers Yieldbot is already their best performing channel – beating conversion rates of Paid and Organic Search and destroying the conversion rates of Display, Contextual and Affiliate. We are constantly sharing these results online so check out our Blog and Twitter or better yet contact our Sales team to find out more.
Buy on CPC – No Minimums
Our marketplace is all about performance. Yieldbot keywords are purchased on a CPC basis and our campaign set-up, management and optimization works just like Search Advertising. You can even upload your current Search campaigns right into Yieldbot! We serve multiple ad formats including text and integrate with your campaign tracking. There are no minimums to get started. Test once and we’re pretty sure the only thing you’ll ask us for are more clicks.
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Jonathan is recognized as a pioneer in digital media optimization having spearheaded the rise of real-time matching rules technology with online advertising and web pages. Prior to Yieldbot Jonathan was Chief Strategy Officer of Offermatica through its acquisition by Omniture and founded its agency business that is now Adobe Digital. Jonathan's performance record in optimization is likely without parallel having achieved 15 years of success across SEO, Email, Affiliate, SEM, Display and Site-side channels. He has worked on optimizing performance for over 60 companies in digital media including Amazon.com, AutoNation, Disney, Citibank, H&R Block, IBM, Intuit, Microsoft, Salesforce, Sears, Skype and T-Mobile. He is a frequent speaker at industry events and is a noted blogger.
Prior to Yieldbot, Rich spent 15 years working in startups and leading teams that created powerful products. Most recently at BlueNote Networks (acquired 2008 by Aspect Software) as Software Architect, building enterprise distributed voice-over-IP systems with web service business process integration. Prior to that as Software Architect at WaveSmith Networks (acquired 2003 by CIENA) where the team built industry-leading carrier-class ATM, Frame-Relay, MPLS switches (the architecture of which is still used as the basis for CIENA next generation systems). And it all started with New Oak (acquired 1998 by Bay/Nortel) where Rich helped define the architecture and implement the industry first dedicated enterprise edge VPN device.
Soren is Chief Data Hacker (nee Scientist) at Yieldbot. Prior to taking on the task of building the brains of the Yieldbot, Soren Co-Founded StockTwits, the largest real-time financial idea network. Prior to being bitten by the startup bug, Soren worked as an information security engineer and analyst for Fortune 500 companies such as Apple Computer, Symantec Corporation, and Safeway where he specialized in reverse engineering, threat modeling and penetration testing of networked computer systems and applications. Soren likes: hacking, startups, data visualization, machine learning, data mining, statistics, entrepreneurs, photography, building and learning new things.
Yieldbot is on a mission to make the web experience more relevant.
If you’re in the Boston area and want to join us on our mission, we want to hear from you.
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Building our batch and real-time analytics over huge datasets
Applying machine learing algorithms to spin big data straw into smart data gold
Working on the bleeding edge of big data: Cascalog, Storm
What (we hope) You’ve Done
Algorithm work around large datasets, especially involving NLP
Wrestled with Hadoop, and won
Worked in multiple languages (Clojure is big here)
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What You’ll be Doing
Building our world-wide distributed, fault tolerant, real-time event processing platform
Working with cutting edge systems and db technology: elephantdb, mongodb, redis, Storm, Chef
What (we hope) You’ve Done
Developed scalable web solutions
Solved complex problems in distributed systems
Significant work with dynamic languages like Python or Ruby
Front-End Software Engineer
What You’ll be Doing
Pushing the UI limits to show the most relevant data, often in real-time
Building a next generation analytics UI for publishers
Building a next generation ad campaign management UI for advertisers
What (we hope) You’ve Done
Client-side MVC (we use backbone.js)
Data Viz (we are heavy users of d3.js and crossfilter.js)