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Archive for the ‘Analytics’ Category

The Internet Conference: Powerpoint Presentations

Sunday, May 16th, 2010

If  you missed The Internet Conference 2010 then you missed one amazing day.  Our expert speakers shared a huge amount of knowledge, and feedback from the delegates says it was a great opportunity to network and connect with other businesses using the Internet.  We will be organising another event next year, even bigger and even better, so watch this space!

In the meantime, our speakers have kindly agreed to share their slides with you:

What’s New With Google

Susan Hallam:  Hallam Communications Ltd

Getting it Wrong:  Change and Measurement on the Internet

Charles Arthur: The Guardian

Essentials of Search Engine Optimisation

Ian Lockwood:  Ian Lockwood Digital Consultancy


Using Google Analytics to Improve Your Business Results

Dr Dave Chaffey -Smart Insights Digital Marketing

Finding Your Voice on Twitter

Kelly Herrick -Abacus Lighting

Improving the Ecommerce User Experience

Dr Mike Baxter – Sales Logiq

Writing for the Web

Mark Shaw – Nutshell

View All  presentations from The Internet Conference.

The Internet Conference 2010

Friday, March 12th, 2010

The Internet Conference 2010

Join me and my handpicked selection of Internet marketing experts for a full day of discussing the latest tools and techniques for promoting your business on the Internet. Book now for your early bird registration discount.

Date: 14 May 2010
Location: East Midlands Conference Centre
Cost: Early Bird Registration only £195 +VAT, rising to £245
Full Details: www.theInternetConference.co.uk

Bit.ly Review: Measuring Social Media

Tuesday, March 2nd, 2010

bitly_logo

Bit.ly isn’t just a URL shortener, turning long web addresses into short addresses. It’s also a social media measurement tool that counts clicks, monitors conversations,  and store your data all at the click of a button.

If you ever share links via social media then you’ve probably used an URL-shortening tool at some point. Bit.ly with its extra data collection features is well worth consideration amongst the broad stable of shortners that also includes services such as Google’s goo.gl, Cligs, and the grand daddy of shorteners, TinyURL.

Just as you wouldn’t launch a website and never check how it’s performing (shame on you if you would) you need to keep an eye on social media too. Not analysing your performance on social media could be the kiss of death for your campaign. The data offered by bit.ly will help you to check how your campaign works, so let’s see what they tell you:

Number of Clicks

Beauty of bit.ly - measuring clicks

The basic stuff – how many people have clicked on your bit.ly link – whether you’ve tweeted it or used it in an email. Use this data to test what your customers want to read about. Find out if your method of delivery makes a difference to click through rates. Keep trying out different styles until you find one that works.

But bit.ly has a nifty trick up its sleeve. It can tell you how many people have clicked on a link to your page altogether. They can monitor any bit.ly link to your URL – so even if someone creates a different short link to your fantastic blog article bit.ly will still show you the data.
And, they’ll even tell you who’s linking to you:

Conversations

Beauty of bit.ly conversations

The bit.ly feature conversations pulls together all conversations containing your link into one handy place. So you can see at a glance if someone said “brilliant article…” or “I can’t believe they wrote this…!” This shouldn’t be your only guide to how people are responding to your content, but it’s useful for a quick thumb in the air test.

The one draw-back here is that you will only see conversations from Twitter and FriendFeed so if you only use Facebook you aren’t likely to find anything of use.

Traffic Data

Beauty of bit.ly traffic info

As with every good measurement package this can tell you when people used your link, which site referred them to you and which country your customers come from.

*Warning*

If you are new to twitter and only have a small number of followers your traffic figures are likely to be low. (What do you mean 50% of my customers are in Singapore??) Don’t set too much store by this data, it should just be a useful guide suggesting the days when your target customers are most likely to read what you have to say.

Bit.ly at the moment is relatively limited in what it can measure. That said, it could help you to test, monitor and refine your social media strategies – much more than your bog-standard URL shortening tool. Data is great, but it’s what you do with it that counts – do you really need to know more?

+ + +

Katie Saxon

Track Campaigns Better: Google Analytics URL Tagging

Thursday, December 31st, 2009

Google AnalyticsI am frequently surprised by the amount of people using Google Analytics who aren’t familiar with URL tagging. This is the process of adding extra information to a link, so that Analytics can identify it as coming from a particular source, keyword and/or advert.

In fact, URL tagging happens automatically for all AdWords users – it’s how Analytics knows the difference between “paid” and “organic” traffic in your Search Engines and Keywords reports. But its use reaches far beyond AdWords. Consider an email newsletter or “e-shot”. If you make a plain, normal link in your email, the traffic it generates will be split between the Direct Traffic report and the Referral Traffic report.

Why? Because if you use an email client like Outlook, clicking a link in an email is like copying and pasting that link directly into the web browser’s address bar. If you use webmail like GMail, Hotmail or similar though, you are already visiting a website (the webmail site) and clicking a link is a referral from that site. So visitors from an email campaign will be split between the two. Worse, they will be lumped in with the Direct or Referred traffic you got that day anyway. Hardly the ideal method of measuring the success of your email marketing.

If those links in the email had been tagged, you could identify every single visitor generated by that email as a distinct group. You could then measure their engagement (time on site, pages per visit etc.) and their conversion rate, as well as making them an Advanced Segment to delve deeper into their visits and compare them to other groups of visitors, or even the last email marketing you did (if that was tagged too).

How does it work then? Pretty simple, as it happens. You simply need to add some information in Google’s defined format on to the end of the link addresses in your email. It looks like this:

http://www.website.com/page.htm?utm_campaign=campaign-name&utm_medium=marketing-medium&utm_source=website-or-email&utm_content=advert-content

Looks exciting eh? ;) If you break it down, you have a list like this one on Google’s help page:

Banner Ad E-mail Campaign Pay Per Click Keywords
Campaign Source citysearch newsletter1 overture
Campaign Medium banner email cpc
Campaign Term Boston July the keyword you purchased
Campaign Content
Campaign Name productxyz productxyz productxyz

So:

  • Source is the place that the visitor comes from
  • Medium is the type of marketing (cpc stands for Cost Per Click and is the standard term for defining pay-per-click advertising in Analytics)
  • Term is the keyword used (or any other defining feature of the advert)
  • Content is only really required for distinguishing between pay-per-click advert content for the same keyword
  • Name is the name of your campaign, whether it is a specific campaign or maybe something like “Newsletters”

In the example of an email newsletter, I might define the Name as “Newsletters” and the Source as “December Newsletter”, thereby grouping all my newsletters in one campaign, but being able to distinguish between each month’s newsletter within that campaign.

You could also use the Content tag to define which link in an email someone clicks. For instance, you might link to the same page three times: once at the top of the email, then in the body copy and finally at the bottom in case people missed the point. If you don’t differentiate between those links, you won’t know which one got clicked on most, because they all go to the same page. So, my URL tag for the first link might look like this:

?utm_campaign=Newsletters&utm_medium=email&utm_source=December&utm_content=Top

My URL tag for the body copy link would be the same, but it would say “utm_content=Body” at the end instead, and so on. If you don’t want to mess around writing your own link tags in HTML, Google provides a URL Builder here.

The uses for URL tagging don’t end there, as you can tell from the table. If you do any pay-per-click (CPC) advertising anywhere but AdWords, you won’t be getting the URL tagging automatically, so traffic from the likes of Yahoo Search Marketing or MSN AdCenter will be appearing as either Direct or Organic traffic, meaning you have no information on the performance of those paid-for adverts once the visitor lands on your site.

What about advertising on a site that also links to you organically? Again, all traffic will be referred, but you won’t know how much of it comes from the paid-for advertising. If you tagged your advert links, you would see those visitors as a distinct group. The same is true if you use Google Merchant Centre (formerly Base) to list your products in Google Shopping search results – if you don’t tag your Base feed URLs, all the traffic will be lumped in with normal Google organic traffic and you won’t see how your Shopping listings are performing. The screenshot below shows how Shopping traffic has been separated by tagging the visitors as coming from “base”, with Yahoo pay-per-click traffic also distinguished from organic Yahoo visitors:

analytics-tagging

By using URL tagging, we can then see the visitor engagement statistics for those groups, along with their conversion rate, per-visit value etc. It gives us much better information to use when deciding what works and what doesn’t in our online marketing campaigns.

If you want to learn more about using Analytics, I have Google Analytics training events scheduled for next year in London and Nottingham. You can see all my planned training events here.

New Google Analytics Features

Tuesday, December 1st, 2009

Google AnalyticsGoogle recently announced a number of new features for Analytics, and I thought I would share some of the tips that will be incorporated in my forthcoming Google Analytics training course.

The first, most noticeable one, is the appearance of the Intelligence button in the main navigation. This is an alerting service that will automatically notify you of significant changes to data patterns. Be sure to change the Alert Sensitivity setting to high if your site doesn’t get large numbers of visitors.

IntelligeGoogle Intelligencence has already given me useful insights.  I wrote an article about Michelle Obama Image Spam recently that received prominence in the Google search results and was also linked to from Obama’s web page. My site received an unexpected wave of traffic.

Google Intelligence notified me of the unexected spike in traffic on the day of posting, and provided me with 4 Alerts letting me know I had:

  • more Visitors than normal, up 306%
  • more New Visitors than normal, up 394%
  • more Organic Search visitors than normal, up 493%
  • and finally more Google Organic Search, up 406%

Custom Alerts lets you set a number of options to have alerts sent to you if anticipate something unusual might happen. In the example below, I am setting up an alert in case there is a significant drop in AdWords (PPC) traffic. You can apply alerts to any of the profiles in your account and choose whether it should be on a daily, weekly or monthly basis. You’ll notice that the settings follow the pattern for Advanced Segments with the “condition matching” format for choosing what data to use.

analytics-custom-alerts

I’m sure you can think of many other uses for this tool – how about setting up an alert ahead of an email campaign or some PR being published, so that you are told if traffic from a certain source rises above a threshold?

Goals

Another significant change is to Goals. Previously you were limited to four Goals per profile, which were views of a particular page. Now, you have four sets of five goals (i.e. 20 goals) and you can choose from URL Destination (page view), Time on Site and Pages per Visit. You can see below the new format for choosing Time on Site as a Goal:

analytics-goal-sets

This is brilliant news for sites with multiple goals or goals with more subtlety than simply the view of a particular page.

Advanced Filters

Another excellent new feature, Advanced Filters let you analyze your data with much greater granularity than previously available – it used to require exporting to a spreadsheet and some fancy formulas.

Now, you can very quickly drill down into specific detail within a report. The example below shows me filtering a report by a particular keyword that led to a conversion. I’m looking for those phrases containing that keyword that actually generate revenue. You can see at the bottom how filtering can be applied – it’s very straightforward:

analytics-advanced-filters

Other New Features

Other items of note, which some of you will find useful:

The Unique Visitors metric can now be used against any dimension in custom reports, so you can see unique visitors in a particular segment.

Extra Mobile tracking features: Google now provides code you can add to your mobile website to enable tracking of devices without JavaScript enabled (this is how standard Analytics code works, but some mobile devices don’t suppor it). Google also announced a method for tracking usage of apps on the iPhone and Android operating systems.
Multiple custom variables: Some advanced users will be utilising custom variables (using additional Analytics code) to track things like users who are logged in or users who viewed a particular page/section. Analytics now supports multiple variables at once.

Share Custom Reports and Advanced Segments: If you have a report or segment you’ve created and want to share it with someone else so they can use it in their own Analytics account, you can now do that with the Share link under the Manage Custom Reports or Manage Advanced Segments page.

So, there you have it – some very useful and powerful new features, as Google tries to keep its free Analytics software up to speed with the paid-for packages available. If you want help on using and understanding Google Analytics, take a look at my training events page for upcoming Analytics courses.