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Posted by Dr-Pete
After a period of relative quiet, MozCast detected a major "temperature" spike in Google's algorithm at some point on Monday, May 19th. This occurred after some historic lows, including the 3rd coldest day on record (May 11th).
Tuesday afternoon, Google confirmed two updates, Panda 4.0 and Payday Loan 2.0. Matt Cutts tweeted the Panda 4.0 announcement:
Posted by OliGardner
Landing pages rule. Blah.
Homepages suck. Blah.
Do some A/B testing. Blah.
Base your optimization strategy on customer feedback. Blah.
All of those statements are true. But they sound boring and being boring is lame. It's twenty fourteen and I refuse to be lame.
Posted by CraigBradford
Before joining the world of digital marketing, I was a product design engineer. Most of my clients at Distilled are now CRO projects and I've found my background to be surprisingly useful. There's a lot of overlap between designing physical products and designing websites that convert well. I'd like to share some of the research methods that I use for CRO that I learned while designing physical products. I like to use a framework of Learn, Look, Ask, and Try.
Google is desperate to promote Helpouts. I first realized this when I saw the following spam message in my email inbox.
Shortly after a friend sent me a screenshot of a onebox promoting Helpouts in the SERPs.
That's Google monopoly and those are Google's services. It is not like they are:
Posted by randfish
In a way, we often treat our websites like our children. No matter how awful they might be, we rationalize their behavior and tell everyone else how wonderful they are. Those blinders can stop marketing efforts before they even begin. In today's Whiteboard Friday, Rand shows us how to remove the blindfold and make objective decisions to move our businesses forward.
For reference, here's a still of this week's whiteboard!
Posted by JoelDay
Greetings, citizens! It is we, your help team, here with what we're hoping will become both a regular occurrence and household name.
A/B testing is an internet marketing standard. In order to optimize response rates, you compare one page against another. You run with the page that gives you the best response rates.