Media Coverage
Online Strategies Magazine, February 28, 2010
Subjectivity is the Key to Driving Site Search Success
"If your site search is failing both you and your customers, you aren’t alone. Marketers, website managers and search professionals across all types of organizations struggle every day to produce sets of meaningful search results that truly help their user base–rather than inundating them."
Computerworld, February 24, 2010
Tap the wisdom of employees — and boost the bottom line
"Unlike Amazon's recommendation engine, which mostly relies on the past behaviors of users to make recommendations, Baynote observes users' behaviors on a site in real time, says Baynote CEO Jack Jia. Then it looks for patterns based on such things as how much time shoppers spend on particular product pages, whether they scroll up or down or through the whole page, or whether they highlight any text, click on any links or add any products to their shopping carts."
inc. Magazine, February 4, 2010
Online Retail: Getting the Right Product in Front of Your Customers
"Recommendations and personalization engines are now available as plug and play components. Outside of search, one of the most important ways for shoppers to discover products has been through recommendation engines. Personalization and recommendation engines have been around for a while and have been a strong driver of sales."
iMedia Connection, January 25, 2010
3 reasons why your site search isn't working
"Site search isn't working for many companies, and there are three key principles to really understand what is going wrong. Once we understand what's wrong, we can arrive at some fundamental conclusions on how to make site search better and, therefore, how you can make your site search a cut above the rest."
Competing on Execution, January 25, 2010
Emergent Intelligence: SocialText and Baynote
"Baynote is a great example of another new breed of software, a new generation of analytical software applications that use data to derive insight, anticipate customer needs, act and learn. This is functionality way beyond traditional definitions of web analytics and business intelligence."
briansolis.com, January 11, 2010
"Jack Jia and Dr. Scott Brave of Baynote are fusing crowdsourced intelligence with social sciences. As such, they built a sophisticated platform that transcends mob rule into swarm intelligence – a form of artificial intelligence based on the collective behavior of decentralized, self-organized systems."
The Institution of Engineering and Technology, December 1, 2009
Getting a purchase on Christmas
"Retailers have come to believe recommendation engines work. Most quote sales increases on the order of 10 per cent. Chris Mann, senior product manager at CoreMetrics, says between 5 and 15 per cent of total webstore revenue can be driven by product recommendations."
BusinessWeek, November 24, 2009
"Whether shopping online or offline, consumers want to re-create the feeling of walking into a friendly store or neighborhood boutique. They want the owners to have intimate knowledge about what's on their shelves and which products similar shoppers have found most useful. By following these simple rules, online retailers can get closer to emulating this experience than ever before."
ReadWriteWeb, November 22, 2009
Top Internet Trends of 2000-2009: E-commerce
"Baynote observes real-time user behavior on a site and looks for implicit, emergent patterns. It uses collective intelligence and an affinity engine to analyze the data. Common behaviors which it tracks include page refers, queries, mouse movement, time spent on a page, peer behavior."
Internet Retailer, November 19, 2009
Online recommendations help House of Antique Hardware boost conversion rate
"I can’t count the times I’d look through our reports and find failed searchers for products that should have been easy to find,” says Treuber. “It was frustrating to know we were sending away customers empty-handed while the exact products they were looking for were just a few clicks away."
Retail Info Systems News, November 17, 2009
Online Retailers Follow “Chemical Trails” to Predict Buying Trends
"In failing to create digital mom and pop experiences, online retailers have placed unnecessary emphasis on promoting popular, lower margin products such as the latest iPhone or Harry Potter book, thereby losing out on profits to be gained from merchandising their niche, or long tail products."
Behavioral Insider, November 13, 2009
The Stuff You Don't Even Know You Want To Buy Yet
"By using what Baynote likes to call the "wisdom of the crowd" to extrapolate behaviors for all visitors, the sales lifts can be dramatic. In the last months, customers using the recommendation engine had a 49% increase in conversion rates."
Forbes, October 30, 2009
"It looks like Baynote can make a serious contribution to personalized recommendations, thus improving the Web fortunes of many merchants trying to sell online."
sramana mitra, October 13, 2009
Simulating The Brain: Baynote CEO Jack Jia
"In 1996 the Internet was starting to take off. I decided I had to do something that had to do with the Internet. I was not a consumer or dot-com kind of guy. I had to use my systems background and do something along those lines."
Online Media Daily, August 31, 2009
Fashion eTailer Raises New Round Of Financing
"According to Baynote and myShape, the result was a 16% lift in average order value, a 30% rise in revenue and a 200% lift in conversions."
Business Week, August 6, 2009
"This provider of online product recommendation technology places special emphasis on real-time behaviors, such as search queries and computer mouse movements, rather than historical buying patterns."
DM News, July 21, 2009
The Knot hears bells when e-mail gets more relevant
"The Baynote technology is what The Knot used for product recommendations. 'The idea is that we wanted to be technology agnostic to our clients,' said John Berkley, VP Product Marketing, Responsys. 'It's almost like a mash-up, you put the e-mail together in Responsys but you can use the technology from Baynote.'"
Read Write Web, April 15, 2009
Lessons from the Ant Colony: Overcoming the Biases of Web 2.0
"The collective intelligence of an ant colony can serve as inspiration to help us solve complex human problems. Businesses in particular are finding innovative ways to apply these lessons from nature, from routing trucks to managing plane congestion on the tarmac... to making Internet search more accurate."
STORES Magazine, March 9, 2009
Adaptive solution helps Sun & Ski custom-fit online recommendations
"Shortly after implementing [Baynote] in fall 2007, Sun & Ski saw an immediate 59 percent lift in the average order on its website, and that figure held steady at 36 percent through the holiday shopping season."
San Jose Business Journal, February 20, 2009
Baynote knows what Web users want before they do
"Baynote’s technology connects users to the products and content based on previous visitors with similar interests."
Sina, February 13, 2009
Overseas Chinese Affairs Office Visits Baynote
"HaiFeng Li, Minister of the Overseas Chinese Affairs Office of the State Council of the PRC, visited Silicon Valley based technology company Baynote, Inc. Minister Li met with Jack Jia (founder and CEO) and Mr. Howard Zhou (overseas development manager) to discuss Baynote's success story." [Chinese]
ReadWriteWeb, February 5, 2009
Baynote: Does Focusing on Real-Time Behavior Trump Amazon's Technology?
"Baynote is not just tracking clicks, but engagement on the page. It says this this approach has led to increases in sales for Disney and other retail clients."
MediaPost, February 4, 2009
Attention Scarcity: Look Here, Look Here, Please?
"By watching what all site visitors do and make connections between people you can start to re-rank search results or recommend particular pages or documents based on what other "like-minded" people have found useful."
Internet Retailer, December 29, 2008
Sporting Gear Retailer Scores w/ Suggestions Based On Wisdom Of Crowds
"After about a month, the average order value for customers who clicked on an item recommended by Baynote was 38% higher than for other customers, and their conversion rate was 35% higher."
AltSearchEngines, December 18, 2008
Plug your site leaks before opening the floodgates
"In the current state of the economy it is even more important to maximize the return on investment for traffic generating methods, such as SEO and SEM. By employing tactics like recommendation engines and social search solutions, website owners are guaranteed to receive higher benefits from their search marketing campaigns."
ReadWriteWeb, December 11, 2008
Shopping 2.0: Current E-commerce Trends
"We explore how e-commerce has evolved over the past few years - what web technologies our expert guests are currently using and the trends they've picked up on."
1to1 Media, December 4, 2008
MyShape Sees Double Digit Growth Using Personalized Recommendations
"We've been growing by leaps and bounds and have a lot of exciting social initiatives on the roadmap. This is really resonating with women."
The World Journal, November 13, 2008
Consul General Gao Zhansheng Visits Baynote
"The new Consul General of China Mr. Gao along with a 20-person, high-tech delegation visited Baynote. Mr. Guo said, 'Entrepreneurship in Silicon Valley is so famous around the world. I came to see and learn how an idea can become a great company, and also have an opportunity to get a clear view of future technology.'" [Chinese]
eCommerce Times, November 8, 2008
The Seven Deadly Consumer Biases
"All humans are subject to bias, and when that bias influences online purchasing decisions, it can impact business. How can you mitigate the effects of people's biases on your livelihood? Scott Brave, founder of Baynote, has some suggestions."
Apparel Magazine, November 5, 2008
myShape Improves Offerings, Increases Revenue with Baynote
"Since implementing Baynote, myShape's revenue has increased by more than 30 percent for those customers using recommendations."
paidContent, October 27, 2008
"Aside from those mentioned above, Baynote’s customers include a range of major online retailers, media portals, and enterprises like Urban Outfitters, Motorola, Juniper Networks, and The Knot."
Behavioral Insider, October 24, 2008
I Know Just What You Would Like
"What has impressed us about it is that the crowd does a pretty good job. It's not just finding things that are alike; it is finding things that are also complementary."
KTSF 26, October 14, 2008
"The current economy is putting the crunch on startups funded by VCs, but some companies are ready to expand and survive the financial dip." [video, Chinese]
Dialogue 360, September 30, 2008
"An interview with Jack Jia, Baynote CEO." [video, Chinese]
ClickZ, September 24, 2008
The Beginning of the End to Privacy Debates?
"This proprietary technology steers clear of privacy concerns because the information is gathered on a visitor's behavior is completely anonymous. Baynote is looking at the bigger picture."
DM Radio, September 18, 2008
Jack Jia on DM Review -- Managing Web Content
"Tune into this episode of DM Radio as we talk to the experts and learn about what goes into a Web content management strategy." [audio]
Fox Business, September 4, 2008
"Jack Jia, Baynote CEO, discusses how Baynote's software gathers and analyzes traffic and user data for Web sites." [video]
Computer World, August 28, 2008
Jack Jia, CEO of Baynote, talks social interaction
"Three things drove the creation of Baynote: a disconnect between content creation versus consumption, the notion that the wisdom of crowds trumps expert opinion, and the need for so-called Web 2.0 engineering to incorporate social science."
IT Business Edge, July 28, 2008
Retailers Blur Line Between Online, Offline Shopping Experiences
"A startup called Baynote is trying to refine the personalization process, which is normally based upon a consumer’s history with a site, by instead assessing more immediate behavior such as how long someone lingers over an item or how many times he or she returns to a product. It also factors in the online behavior of other shoppers looking for similar things, such as pet-friendly hotels in the Midwest."
San Jose Mercury News, July 28, 2008
"Its software analyzes two dozen "fingerprints" users leave behind. This includes how people enter and leave a Web site, how long they linger on a particular item, how many times they return to the product and whether they flip between different open windows to, say, comparison shop. Few companies use the same methodology as Baynote, said Forrester Research analyst Suresh Vittal. "The technology is smart," he said."
CMSWire, June 27, 2008
Accolades Demonstrate Vignette’s Commitment to the Web Experience
"The gang over at Vignette has been doing some celebrating this week picking up two different industry awards for two of their products proving they may actually know a little something about saving an organization a lot of money and delivering outstanding web experiences in this Web 2.0 world."
DM News, June 20, 2008
The Knot uses crowd wisdom for better site search
"The media company has already witnessed the benefits of Baynote's “crowd wisdom” technology. “What's great about it is it's dynamic,” said Kristin Savilia, VP of e-commerce for The Knot."
Internet Retailer, June 19, 2008
Baynote Launches Collective Intelligence Platform
"The New Baynote Collective Intelligence Platform combines five new offerings, expanded APIs, and Baynote’s existing recommendations and social search capabilities in a single, unified platform. In addition, because Baynote is delivered as a software service, businesses can deploy one or more offerings in just days, without the hassle and expense associated with traditional enterprise software installations."
CNET, June 17, 2008
Baynote ramps up offering with Collective Intelligence Platform
"Baynote's platform covers a broad range of potential points of sale and the reach of their statistics, testing, and reporting components is extensive. It is not a new idea that we can use social recommendations to leverage the revenue potential in the long tail, however it's always good to see advances in this area."
Mashable, June 17, 2008
Baynote’s Recommendation "Crystal Ball" Gets a Platform
"Baynote is looking to more directly integrate its collection of stats and services in order to drive more traffic to your site and keep users around once they get there."
Destination CRM, June 17, 2008
Baynote Brings Multichannel Wisdom to the Web
"'This [release] was much needed,' Vittal says. The wealth of knowledge to be gleaned from social search (also referred to as social insight or collective wisdom) is a 'powerful instrument to help make decisions,' he says, adding that, for Baynote, 'this is their way of extending that collective wisdom to multiple channels.' Vittal says that, to his knowledge, Baynote is the only player in the United States with this solution."
Venture Beat, June 17, 2008
Baynote launches recommendation platform to better target content to web site visitors
"Baynote, a company that provides recommendation technology for web publishers, businesses, and others, is launching a new software service — what it calls its Collective Intelligence Platform."
Ecommerce-guide.com, June 17, 2008
Shore Up Multichannel Marketing with New Baynote Platform
"The new software-as-a-service (SaaS) solution allows e-tailers to deploy peer-driven recommendations, social search and other services across multiple channels while also providing a single point of measurement, testing and control. The new CIP is able to identify and leverage the virtual communities of like-minded site visitors to improve shopper engagement, and as a result, improve sales, according to the company."
EBizQ, June 17, 2008
Baynote Launches Collective Intelligence Platform
"The time is here to fundamentally rethink the old way of doing business where we relied on experts' recommendations and judgment to guide us online," said Jack Jia, Baynote CEO. "Dynamically injecting the collective intelligence of site visitors into the editorial and merchandizing process, across any digital channel, makes businesses far more nimble and thus made the Collective Intelligence Platform the next logical step for Baynote."
InformationWeek, May 14, 2008
Baynote Offering Brings Business Value To Social Search
"The Long Tail, the now-famous reference to targeting customers that buy the hard-to-find or nonhit items, got a little shorter with the release of Baynote's Merchandizing and Editorial Console."
Web Marketing Today, May 13, 2008
How to Get Your Business Listed in Wikipedia with Mike Svatek (7:27)
"In this video interview Mike Svatek of Baynote.com explains some of the hurdles his company had to go through to be listed in Wikipedia. He advises: (1) don't use persuasive writing, (2) demonstrate that your business is 'notable' by showing that what you do is important broadly, and (3) get involved in the internal Wikipedia debate of the inclusion of your business in the encyclopedia."
InternetRetailer, April 24, 2008
Horizon Hobby Uses the Passion of Customers to Recommend Products
"“Endeca gives us the ability to help shoppers get to our products, and Baynote is taking that to another level,” Dapper says. “Baynote came up with good recommendations sooner than we expected. Our hobbyists are really into our products, and some of them probably know more about our products than we do.”"
RIS, April 15, 2008
"[Baynote recommendations] does the job store clerks used to do when they had to decide what products to promote to potential customers," says Joe Nashif, founder of US-Appliance. "Now, thanks to the software tool, it's all done automatically. The [product] suggestions are based on what people have recently looked at most frequently.""
CIO, March 28, 2008
Behavioral Targeting: Why This Hot Technology is Burning its Users
"Humans have far too many roles in life – or what personalization systems might call profiles – to possibly predict what a given user wants on that day. A woman shopping for baby clothes, a tie for her husband, and a gift for her sister may appear schizophrenic because she is acting in three different roles – mother, wife, and sister. What do you show her next? Tossing ads at her about strollers is not going to appeal to her now that she’s shopping for a new cocktail dress for herself."
InformationWeek, March 13, 2008
Fixing The Flaws Of The Web Experience
"According to Baynote CEO Jack Jia, that view of personalization is fundamentally flawed. Jia’s company focuses on the new world of personalization and search, one that’s led by the wisdom of the invisible crowds clicking through your website, not a bunch of so-called marketing experts deciding what your customers need. He argues that with intent and context in place, the wisdom of the community will always prevail."
Behavioral Insider, March 7, 2008
"The tag cloud up front is generated by the Baynote software. You see what are the most popular search terms. Perennially the most popular ones are NASA TV, Moon, and Mars. When you click on those, you get the Baynote search results that tell you this is what most people seem to be clicking on for this particular search term."
The Enterprise Content Management Blog, February 29, 2008
Baynote Doesn't Make The WCM System, They Make The WCM System Smarter
"Baynote's expertise is apparently paying off as evidenced by a recent OEM partnership with Vignette Corp., the Austin-based provider of web content and delivery solutions. According to both companies, Vignette is using Baynote to power Vignette Recommendations, a new product that can help organizations deliver highly tailored online experiences."
Read/WriteTalk, February 25, 2008
Read/WriteTalk Interview: Jack Jia- CEO, Baynote
"On this episode of Read/WriteTalk, I sit down with Jack Jia the CEO of Baynote. They have developed a techniques to derive intent & make recommendations from what they call the ‘wisdom of invisible crowds.’ Recommendation Engines are an important trend on the web we cover regularly."
SearchEngineLand, February 1, 2008
Two Approaches to Determining Intent: The Wisdom of Crowds and Personal Values
"A two or three word query, given the complexity of the English language, is just not enough to confidently provide results that will always be relevant and useful. But up to now, it’s been all we’ve had. Today, however, the search arms race is to add another layer of disambiguation on top of the keyword query..."
Blip.tv, January 31, 2008
Scribemedia.org interview with Baynote CEO Jack Jia
"Scribe interviews Baynote Pres. & CEO Jack Jia about contextual search and capturing customer behavior - without intruding on privacy, and the social science behind behavior patterns."
MarketingRev, January 24, 2008
"In this week’s What’s Happening In Marketing, Baynote’s Jack Jia discusses the concepts behind his company’s Product Recommendation software, which analyzes customer shopping behavior online to make dynamic and accurate recommendations to other customers. As Jia notes in his interview, Baynote doesn’t rely on what consumers say they like, but on what they actually shop for and buy online. Find out why Baynote thinks this approach to applied analytics is so important."
Shop.org Blog, January 23, 2008
Strategy & Innovation Forum: Monetizing the Long Tail
"There are not many retailers that have not heard of the long tail (if not go check out Chris Andersen’s book). The final breakout session of the day featured Jack Jia, CEO, Baynote and Brian Elliott, President and CEO, Alibris discussing how the long tail applies to online sales."
U.S. News, January 14, 2008
"Almost anybody can post or edit an article on Wikipedia, the internet's free encyclopedia and the ninth most popular site in the world. But having an article accepted by the site and controlling what others say about your company is an entirely different matter—just ask Baynote co-founder and CEO Jack Jia."
E-Commerce Times, January 7, 2008
The Pitfalls of Behavioral Targeting
"In a given month, an individual will have thousands of roles. Knowing my past is not necessarily a better way to predict my future. In fact, this phenomenon has been known by psychologists and other scientists for years -- humans are animals of context and situations, much less than of historical profiles or roles."
DestinationCRM, January 1, 2008
"...marketers can map the behaviors of like-minded users to determine what the most relevant content should be...[But by] believing they know what the customer wants, marketers fail to reap the benefits of allowing their customers to organize their own preferences."
Entrepreneur.com, December 13, 2007
"Baynote's internet marketing manager now checks [their Wikipedia] article every few days to keep an eye on modifications. 'Prospects who have heard of Baynote often go to Wikipedia to read about us,' says Jia. 'Then they go to our website. That is worth as much as, if not more than, having an article written about you.'"
Experience Matters Blog, December 5, 2007
Moving at the Speed of Light: Upgrading NASA.gov from Web 1.0 to Web 2.0
"The tag cloud displays popular content that people are searching for throughout the site, and provides an interesting method of browsing NASA.gov....eTouch Systems used Baynote’s technology to generate the terms."
iMedia Connection, December 4, 2007
What Online Marketers Can Learn From Ants
"By understanding the silent majority of your website visitors and their intent, you can identify the thousands of micro-segments of shoppers who come to your site and, ultimately, match each one with the best products available. What's even more remarkable is that with this model you can let your customer base do the selling for you, allowing you to stay focused on generating more revenue."
STORES Magazine, December 3, 2007
"Recommendations “tend to lift awareness, but they also tend to make customers aware of the better, more expensive products and higher-margin items,” Jia says. Baynote’s customers (which include Glam.com, eBay and Motorola) have reported revenue boosts of anywhere from 18 to 107 percent, Jia says, and “if you get a 30 percent revenue lift, you’ll likely get a 60 percent profit lift.”"
Vator.tv, October 7, 2007
1:1 Interview with Baynote CEO Jack Jia
"Jack Jia, CEO and founder of Baynote, talks about how his company's on-demand recommendation technology works to automatically display the best content and products on Baynote's customers' websites. Jack explains how the Baynote Recommendation engine taps into the wisdom crowds to provide recommendations aimed at increasing the number of products purchased, site impressions and/or the number of leads."
WebProNews, September 20, 2007
Applying Social Science to the Web
"Product or content recommendations driven by like-minded peers are the web equivalent to passing down collective wisdom. If you are a high-end biker, you would appreciate insight and recommendations from fellow high-end bikers. This guidance not only helps us make better decisions, whether it be items to purchase, articles to read or in the case of web self-service, finding solutions to our problems, it also connects us to web users with similar interests."
L'Atelier, September 11, 2007
Jack Jia, Baynote: “Contextual targeting is like the chemical trail left by ants”
"Baynote’s technology tracks the behavior of Internet users and harnesses the wisdom of the crowds to guide future visitors to the right information. For Baynote’s CEO Jack Jia, contextual targeting beats behavioral targeting any day: it is more efficient with none of the privacy concerns attached to BT."
InformationWeek, September 3, 2007
Baynote Leads Users To Web Content. Will They Drink?
"If Google is the king of PageRank, Baynote wants to be known for "UseRank," a term it trademarked that places value on content usage rather than page links...like-minded people are interested in the same kinds of products and content, so you raise your chances of success in selling to them, or getting them to click through, by pushing products and content in front of them."
DM News, August 8, 2007
Baynote Taps “The Wisdom of Crowds”
"The application of this [Wisdom of Crowds] theory can have dramatic results in online marketers’ results..."
CNET, August 1, 2007
Start-up Baynote taps the silent majority on the Web
"The Cupertino, Calif.-based company has come up with software that allows shopping sites or media outlets to better determine what their customers want by how people interact with their site."
Behavioral Insider, July 25, 2007
"For years, behavioral marketers have been engaged in relentless, often obsessive pursuit of data about individuals — where they've been, and what they've done online. They want to reach that mythic goal of "one-to-one" targeting [but] all that data... may be blinding marketers to a more fundamental fact: It is not behavior in isolation, but rather the charting of similarities and affinities of intent and interest, that ultimately matters."
ecommerce-guide.com, June 26, 2007
Case Study: Baynote Strikes Positive Chord with Customers
"While Amazon may have pioneered the concept of using buyer recommendations to help visitors pick and purchase products, the makers of Baynote have taken that concept to a whole new level."
E-Commerce Times, June 11, 2007
"Today, online retailers must operate with a different set of rules than traditional retailers and embrace new techniques and technologies to increase revenues. By understanding Long Tail economics, improving product recommendations and harnessing the wisdom of crowds, e-tailers can stay competitive and increase visitor-to-buyer conversion rates by 50 percent and more."
the.next.net, June 8, 2007
Startup Watch: Baynote (Improving Search By Observing the Crowd)
"Jia doesn't want to create a social network on corporate sites or explicitly show what everyone else is doing but he does want to help connect users to each other in the background without them even realizing they are being connected."
Social Computing, June 7, 2007
"There's Money in the Wisdom of Crowds," Says Baynote CEO
"[Chris Walshe, Midwest Center for Stress CMO said] 'As a result, visitors stay on our site much longer, view a lot more pages, and consequently our conversion rate has increased by over 20 percent. And generating this revenue lift, without increasing advertising costs, has doubled the profit from our online sales channel. Nothing else we've implemented has even come close to that improvement.'"
Behavioral Insider, June 1, 2007
Context and the Crowd Trump Behavior
"...[past behavior] is a very poor predictor, because humans have way too many profiles... We are raised with the notion that I am unique and don't have needs quite like other people. But the scientists proved we are not unique at all. We are pack animals. Pretty much 95% of people will need the same thing. We only need to find out under what context what things are useful, and then present that product or content given the context. Then the prediction is very accurate."
DM News, May 26, 2007
Retailers should be profiting from the long tail of e-commerce
"The recommendations feel natural because they are drawn from the collective preferences of like-minded shoppers. And the invisible crowd is inherently aware of seasonality and other trends, and naturally promotes those products that are becoming more valuable to your shoppers while demoting those that are losing their luster."
Social Computing, May 18, 2007
Baynote's "Helping Change the Way Business is Done on the Web," Says CEO
"The combined content guidance and Web analytics solution offered by Baynote and Omniture will provide online marketers with a more dynamic way of gaining higher conversion rates and satisfaction among online customers."
Assignment Zero, May 16, 2007
Jack Jia On What Exists Beyond The Seen Crowd
"You can find these unique like-minded peer groups; all sites have their communities, their sub-communities, their sub-sub-communities. There are literally thousands of self-segments within a site, and they all have people behind them."
KMWorld, May 9, 2007
"[Baynote] uses shoppers normal searching, browsing and purchase behavior to automatically tag all products on the site with the same words shoppers use to find them."
Social Computing, May 8, 2007
Baynote's "Wisdom of Community" Approach to E-Commerce Receives $10.75M Series B Boost
"Interest from online retailers in real-time product and content recommendations based on Baynote�s patent-pending UseRank technology has risen sharply."
WebProNews, May 4, 2007
Jack Jia on The Long Tail EffectJack Jia on The Long Tail Effect - podcast
"The Web community is a great outlet for identifying what the consumer's wants and needs are."
Internet Retailer, May 3, 2007
Baynote's Community-Guided eCommerce solution blends search and web 2.0
"By uncovering niche audience segments, [Baynote's] technology allows retailers to profitably offer and sell a wider variety of products than would be profitable for a brick-and-mortar retailer to keep in stock."
Small Business Technology, May 2, 2007
Invisible Crowds of Like Minded Shoppers: Boosting Online Revenue with Baynote
"What if [someone] told you they bought a 2007 Dodge Caravan? Wouldn't you trust their judgment and buy. Sure, you'd think about it a bit, but knowing what 10 others bought, who fit your profile, would help guide you to the right decision. Baynote does this very thing for ecommerce web sites."
bITa Planet, May 2, 2007
IT Can Make Waves in E-Commerce
"If you can match intent and product brand, the likelihood of someone buying something goes up by 7x, according to independent research."
The Software Abstractions Blog, May 2, 2007
Beyond PageRank: Using the Wisdom of Crowds in Enterprise Search
"The addition of WoC knowledge, gained by observing implicit user behavior, is certain to improve the relevance of search results and help web site managers discover (and act upon) non-intuitive connections between content areas."
Destination CRM, May 1, 2007
Baynote Lends an Ear to the Silent Majority
"The product can be likened to the familiar Amazon.com format of 'customers who bought this item also bought,' but Dan Keldsen [senior analyst and chief technology officer at the Delphi Group,] says that Baynote's solution appears to promise a higher level of sophistication."
Computerworld, April 30, 2007
Use the "wisdom of crowds" to win over individuals.
"[Baynote factors] in what similar folks considered - that is, viewed. Does it work? Well, let's say Baynote is putting its money where its heuristics are."
eCommerce-Guide.com, April 30, 2007
Community-Guided Solution Nets Revenue
"Rather than having to click through many categories and model numbers, a shopper will see a list of categories such as "most popular," "people also compared" and "people also considered" that is based on real-time shopping behavior."
MarketingRev, April 30, 2007
Baynote Announces Community Driven eCommerce Solution
"[Baynote] stood out because they do something different and highly compelling. They continuously analyze traffic patterns on a Web site's pages in order to dynamically optimize search engine results, navigation and content."
Folksonomy, April 27, 2007
"What were some of the challenges Baynote faced and how were they addressed? What advice can you give to entrepreneurs that are seeking venture capital funding?"
VentureBeat, April 4, 2007
Baynote peeps at user Web behavior, and says it boosts revenue
"[Baynote] provides a lot of use for retail and information sites that until have relied on regular old (and dumb) key-word search technology."
CMP Media / TechWeb, October 9, 2006
Baynote Launches Open Source Search Tool
"Consumers searching for information at online retail sites can find products 60 percent faster."
eCommerce-Guide.com, October 9, 2006
Success Lies in the "Wisdom of the Crowd"
"Shoppers can follow the crowd to see where the new products or special bargains may lie... buyers benefit by watching the behaviors of peers, experts and the larger community."
Enterprise Open Source Magazine, October 9, 2006
Baynote Announces Free Open Source Search With Free Hosting
"By understanding the site community, Baynote delivers a 15-25% lift in business target conversions such as more customer leads, purchases, downloads, event registrations, and support questions answered."
InformationWeek, October 9, 2006
Baynote Launches Open Source Search Tool
"Increasing query results and improving accuracy, even by a fraction of a percent, can increase consumer interest and company revenue."
Inc Magazine, September 12, 2006
Baynote Recognized as "Best of the Web" by Inc. Magazine
"What's cool: Baynote reduces the average number of clicks it takes to find what visitors are looking for from six to one. It also gets smarter as it tracks more searches."
Forrester, September 7, 2006
Social Search: Can Baynote Hit A Chord With Online Marketers?
"B2B marketers face unique search challenges, not only to select the best keywords and improve on organic rankings, but also to direct buyers to the information they need to make decisions and move closer to a purchase. Once you embed [Baynote] on a Web page, the data gathering and ranking happens automatically... marketers can focus on improving the content, message copy, and offers on popular pages."
The New York Times, June 15, 2006
Web Tracking Firm Baynote Prepares to Open
"Baynote is set to begin operating on Tuesday with on-demand software so Web site publishers can make it easier for visitors to find what they are looking for."
PC Magazine, June 14, 2006
Baynote Aims to Improve Web Site Navigation
"Baynote emerges from stealth mode promising to redefine the way companies organize their Web pages by tapping into what they call 'the wisdom of the community'."
ClickZ News, June 14, 2006
Baynote Launches 'Content Guidance' Service
"Baynote is offering a fresh approach to the knotty problem of how to help users accomplish what they need to on the site. By hooking into the social and behavioral evidence of successful site experiences, the software offers site managers a new source of intelligence about what works."
Marketing Pilgrim, June 13, 2006
"...interesting new site search technology from Baynote. It uses the collective wisdom of others visiting your web site to improve site search and reduce the number of customer clicks."
alarm:clock, June 13, 2006
Baynote Launches Improving Intra-site Search
"Baynote has launched an on-demand software as a service to businesses to make it easier for visitors to find what they are looking for."
Silicon Valley Watcher, June 13, 2006
Community Driven Enterprise Search
"Baynote potentially provides a way to avoid leaving lots of frustrated visitors."
CNET, June 13, 2006
Start-up Aims to Help Web Publishers
"A start-up dubbed Baynote is set to launch Tuesday to offer on-demand software as a service so Web site publishers can make it easier for visitors to find what they are looking for."
John Battelle Search Blog, June 13, 2006
Support From a Passive Search Community
"Baynote features search backed by community confidence without requiring explicit tagging actions by users, instead tracking user interest by cues such as bookmarking, clipping, or printing."
Business 2.0, June 13, 2006
"It is not a search engine. Rather its technology sits on top of any enterprise search engine and guides its results with observations of the actual behavior of everyone who visits the site."
ZDNet, June 13, 2006
Baynote Applies Wisdom of Communities to Search
"By providing more targeted results with fewer clicks via its technology, Baynote's customers should see higher conversion rates, turning site visitors into registered users, customers, or more active users who download presentations, white papers and other materials."
MIT Technology Review, June 13, 2006
"Creating a good way to search company websites might seem like a lot easier task than the job facing, say, Yahoo or Google -- which have to cover the entire Internet. But, in fact, companies can often face more difficult search-related problems."
BusinessWeek Online, June 13, 2006
Baynote: The Search Beat Goes On
"Lots of people assume Google will be the last word in search, but I think it's kind of early to assume that. One more sign that search ain't over yet is Baynote, which launched early today."
