Author Archive

Crowd-powered Email Marketing

Recommendations offer a key driver for unlocking the value of email marketing campaigns. By adding email recommendations you provide your customers a compelling reason to continue their shopping experience, and drive significant gains in response rates and sales conversion.

Watch the full webinar now.
This webcast features Forrester Analyst Julie Katz, author of “Your Email Marketing Road [...]

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eTail Keynote Opening Video

Jack made some waves at eTail 2009 this morning with his keynote speech “Mob Commerce – A Strategy in Tough Times.” A good presentation technique, of course, is to draw the crowd in with an interesting story, a joke, or something else to capture their attention.
Our choice was to present this bit of silliness – [...]

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If waiters were algorithms…

Another sketch: what ordering breakfast might be like if your waiter only listened to the words you were saying, instead of the intent behind the words. Of course, this would never happen in real life, but it happens with website search all the time. If only there was an intent-aware search system…

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2nd Annual Open Web Awards – FINALIST

Baynote is a finalist in the Mashable 2nd Annual Open Web Awards — an international online voting competition that honors major innovations in web technology.
Now we need your help! By voting for Baynote, you are helping to put our brand in front of the most tech-savvy early adopters, venture capitalists, entrepreneurs, influencers, Web 2.0 enthusiasts [...]

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Where do these stairs go? They go up.

As a web guy, I spend quite a bit of time surfing the tubes. Today I found this interesting bit over at compete.com:

According to their website, compete.com “triangulates multiple data sources, including ISP, Panel & Toolbar to estimate U.S. traffic.” Basically, they follow network traffic to provide usage reports.
The “Visits” chart above shows a steady [...]

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My ZIP code shouldn’t matter.

This little doodle gives some insight into the inherent problems of using visitor profiles to target recommendations. We’ve all been at a site or two where the recommendations just don’t make much sense–what would happen in a real store using that same profile-based targeting system?

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