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Big data has become something of a buzzword over the past year or so, but is it actually useful?
It conjures thoughts of massive amounts of forbidding, almost unfathomable data, and it seems that it has had little impact on the role of web analysts.
In fact, the response of 8% of marketers in our Online Measurement and Strategy Report 2013, created in assocation with Lynchpin, was: 'don’t care – big data is a pointless marketing term'.
We had a hunch that word choice in email subject lines have a strong effect on response rates. So, we tested 287 keywords across a sample of 2.2bn emails to see which work, and which don’t.
Why? Because President Obama has done more for email marketing than any world leader in the history of mankind. How? By focusing on subject line testing, his digital team optimised their donation campaigns to generate hundreds of millions of dollars online.
Despite Obama’s best efforts, most marketers still view email marketing as the Bluth Company’s Banana Stand of Arrested Development fame: a more boring and less sexy marketing channel than pretty much anything else imaginable.
But – and never forget this – there’s always money in the banana stand! There is great power in optimising subject lines.
In case you missed my presentations at MarketingWeekLive last week, you can find out more about our findings after the jump.
There’s no doubt that Pinterest has grown incredibly quickly, if not too quickly some may argue. The site, which is nearly the second most popular social media site in the United States and most recently had $200m poured into the business.
The backstory for Pinterest is that the image-based, social information sharing network has been one of the fastest-growing consumer sites, with comScore at one point last year noting a 4,000% rise in Pinterest traffic (Tumbler up 168%, Facebook up 4%).
After using Pinterest from the beginning there have always been several features that could’ve improved the usability for everyone.
All the statistics have proved Pinterest to be a leading site with conversion rates been much higher than it’s counterpart Facebook but there’s still room for some significant changes to be made, which will ultimately improve the experience for marketers.
The hangout featured Tom Cunniff from ANA Digital Marketing Committee, Jim Sterne of eMetrics Marketing Optimization Summit, and Jon Baron of Tagman.
Here's a breakdown of what was discussed:
The next Hangout will be: Measurement, analytics, and attribution.
Universal Analytics is the next iteration of Google Analytics, and last month it launched into public beta.
Universal Analytics is a completely new version of the Analytics tracking code, and it’s also a completely new way of looking at how we track and analyse our users.
In short, it’s going to change everything.
An innumerate marketer begs the new species of click-sniffer to make a bit of an effort and translate your undisputed brilliance into some language other than Klingon or Ithkuil.
If you believe the bloggers (and who doesn't?), marketing departments all over the world are clearing out the desks of their PR, advertising and 'corporate communications' dinosaurs to make room for the new breed of data geek.
On the whole, that’s good, but data is only useful if the lessons it provides can be communicated in terms that people can understand.
SEO Tools are a time saver for everyone. However, the majority of the tools are too costly for small businesses or digital startup.
So, here are five cost-effective SEO tools that would be beneficial and helpful to them.
Web analytics is essential for measuring and optimising paid search campaigns, and being able to extract the rind kind of data to improve your campaigns.
This post, which includes some extracts from our new Paid Search Marketing (PPC) Best Practice Guide, looks at examples of how to use analytics to track PPC performance.
Recent surveys suggest that 80% of marketers worldwide plan to use social media data to enhance their overall marketing efforts. However, more than 40% of marketers cite lack of analytics capabilities as a factor that prevents them from effectively collecting social media data.
This presents a significant challenge that needs to be overcome in order for marketers to tailor social communications in ways that encourage meaningful engagement.
Despite the increasing importance of mobile devices for both traffic and sales, fewer than half of businesses (41%) are able to accurately measure the behavioral differences between mobile and desktop visitors.
A further 41% report that they have limited insight into how mobile users browse their sites, while almost a fifth (18%) say they cannot measure the difference at all.
The findings come from the new Econsultancy/Kontagent Mobile Sophistication and Strategy Report, which takes a hard look at how organizations and agencies are responding to the ever-expanding reach and importance of mobile.
The study is based on a January 2013 survey of 1,301 respondents from both client-side and agency backgrounds. To provide context for mainstream marketers, the sample was divided into two main parts.
A couple of weeks ago I wrote a post about some of the problems I’ve encountered when trying to gauge accurate traffic from our social media channels, particularly Twitter.
Based on the overwhelming response in the comments section, and feedback from our own recent social media measurement roundtables, it appears this is a very common problem.
Lots of you took the time to offer up ideas and recommendations, so I thought it would be useful to recap (and test) some of the suggested solutions here...