But beyond that, how much use do we actually get from checking our stats? How often is it a real, useful business tool and how often is it just another distraction?

I was using analytics the wrong way for years and you’ve probably done the same. In this post, let’s kick our bad habits and look at how to use analytics to actually improve your online business.

Watch the Video Below:

Links: learn about a critical limitation in the way Google Analytics measures bounce rates and check out this review of Google Analytics alternatives.

The Top Down Approach to Analytics

The right way to approach web analytics is to start with a result in mind: what is it that you want to improve on your website? What's your main coversion goal? What are your secondary goals? Depending on your business model, the answers can vary. They might include:

• Make more sales.
• Get more leads/opt-ins.
• Get more clicks on affiliate links.
• Get more ad impressions (page loads).
• Increase user engagement.
• Get more visitor participation (user generated content).
• Get a better idea of what people in your niche want and need.
• Improve social sharing.
• etc...

Once you know what your goals are, you need to ask yourself what kind of data you need, to be able to make changes to your website intelligently, in order to reach those goals. Think of it as performance-based analytics.

Finally, figure out which tools you need, that will provide the necessary data and help you make the right improvements to your site. The answer simply isn't always (or even often) going to be "Google Analytics". In general, you'll probably need a good analytics solution as well as a split testing tool such as Google Website Optimizer (basic and free) or Visual Webite Optimizer (awesome).

My question for you is: what are the main goals for your website? What do you need to improve? What kind of data and tools would the perfect analytics solution provide for you? Leave a comment and let me know!

Unfortunately, a closer look under the hood reveals that there are a few things GA does not do well at all. Depending on your business model and your needs, a different analytics solution might serve you far better and be a lot more useful to your business.

Read on to discover the drawbacks of using Google’s own system and learn about the best Google Analytics alternatives.

Quick Navigation

What’s Wrong With Google Analytics?

From a technical standpoint, there is at least one glaring mistake in the way Google Analytics tracks pageviews and visitor actions. We’ve written about it extensively in the post about bounce rates, where you’ll also find something of a hack, to help improve the situation.

In short, GA cannot truly measure how long a visitor stays on your site, unless they perform another action like a new page load. Many visitors will show up as having stayed on your site for zero seconds, even though they might have spent minutes or more, reading a page or watching a video. This leads to skewed bounce-rate and time-on-site data. This is not necessarily a deal-breaker, but it’s something you should be aware of.

By all means, use GA, it’s infinitely better than not analyzing your traffic at all.

For many website owners, there’s one other reason not use GA: Google. GA is free and the trade-off is obvious: you get a great, free service in return for data. Keep in mind that Google does not condone most of the things we do to get better rankings and more traffic. If you do any kind of active link-building, no matter how legitimate it is, Google might just decide that they no longer tolerate that and start cracking down on it. One way or another, many or all of your sites are probably in some way involved in manipulating search results in your favour. Google no likey.

What if one of your sites gets caught up in a Google cleanup/slap and it just so happens to be sitting in a GA account along with all of your other sites? Could that compromise every single website you own? Possibly. I, for one, would rather not find out the hard way.

How to Spy on Your Website Visitors

Here are some of the criteria I looked for, in the different analytics services:

• Does it do real-time tracking, so that you can see what’s going on on your site right now?
• Does it properly measure time on site, even if only one page is viewed?
• Does it make a distinction between a “bad bounce” (short, one-page visit) and a “good bounce” (long, one-page visit)?
• Does it allow useful sorting and filtering of the stats, so you can make intelligent decisions based on your analytics?
• Does it allow easy goal/conversion tracking?

Woopra

Woopra is extremely attractive and highly customizable. You can either use it online or download a desktop client or mobile app to track what’s going on on your site.

The customization options are this service’s strongest point: to any set of data you’re looking at, you can add any kind of filters you can think of. Do you want to look specifically at the conversion rates from people who discovered your site through twitter and viewed at least two pages? No problem. Do you want to attach a specific label to anyone who leaves a comment on your site and also pass their name and email address to Woopra? With a bit of custom coding, it can be done.

To top it off, Woopra also comes with a live chat feature, which lets you display a “chat with us” widget on your site, or lets you automatically invite visitors to chat when a certain set of criteria are met. For example, you could set the chat window to pop up when a visitor is spending a certain amount of time on the checkout page, to help them with any last questions or objections they might have. As I’m sure you can see, Woopra is powerful, if it’s used right. But therein also lies a big problem with the service…

There are three big disadvantages to Woopra:

1. Their pricing plans don’t allow you to group multiple sites together. You have to create a new subscription for every website you want to add.
2. Woopra don’t do customer support. They have a support desk, but from what I can tell, they ignore tickets, even if they contain very simple questions.
3. There’s no documentation to speak of. At the time of writing, there are API and developer docs, but no basic instructions for how to use Woopra.

Woopra Features and Highlights

Conclusion: Woopra is an extremely promising service that has the potential to be hugely beneficial to your business. Unfortunately, since they severely lack support and documentation and because of their pricing model I can’t recommend them.

Link: Check out Woopra here.

Mint

Mint is a very stylish “less is more” kind of analysis software. Where many others pile on feature after feature, Mint strives to show you the most relevant data about your website in a simple “at a glance” kind of way.

The “less is more” principle is take a tad too far, sadly. The standard view shows you the visitor count (total and unique), the top referring websites, your most popular pages and the most popular search terms people are using to find your site. You can edit each view for a certain date-range or to show you recent terms/referrers rather than popular ones. Interestingly, there’s also a separate view for traffic coming through image searches, which could be a very interesting feature for certain types of websites like portfolio sites, sites about design or any other image-heavy sites.

Data digging is almost non-existent with Mint. It also doesn’t show bounce rates, time on site or any other useful user engagement metrics. My impression is that Mint shows you mainly “vanity stats”, but fails to give you the tools necessary to sort your data in such a way that it can lead to intelligent changes on your website, that improve your business.

The basic functionality of Mint can be expanded with so-called “Peppers”. These are plugins for Mint, which are provided by the developers themselves as well as third-party providers. Possibly, some of the features I was missing in the standard version can be added through these extensions (I did not spend a lot of time searching through them).

Mint is a self-hosted script and it costs a flat rate of $30 per website, making it very affordable.

Mint Features and Highlights

Conclusion: Mint is stylish and light-weight, but is it also useful? Unless there’s a very specific feature found in one of the many “pepper” extensions, that you’ve been looking for, I can’t see a reason to use Mint.

Link: Learn more about Mint here.

Clicky

I’ve been using Clicky for quite a long time now. In the beginning, I had mixed feelings about the user interface, but once I got used to it, I recognized it’s merits. The standard dashboard gives a very comprehensive overview over all of the core data: visitors (today vs. yesterday or any other date-range you set), visitor actions and bounce rate, top content, top search terms and traffic sources.

One thing Clicky does reall well is allow you to dig down and segment/filter your data in many ways. It doesn’t just show you some fancy graphs, it let’s you get right down to the stuff that matters the most: you can find where your best converting traffic is coming from, you can see which pages are grabbing your visitors’ attention and which aren’t and much more.

Clicky also offers a simple way to set up campaigns and track earnings. An interesting feature is that it allows you to set up custom twitter searches, so that you can monitor mentions of your site or brand on twitter, from within the Clicky dashboard. The service also integrate with a service called SheerSEO as well as Visual Website Optimizer for rank tracking and split testing respectively. Plus, it comes with a very well-made WordPress plugin.

Clicky calculate bouce rate differently from most analytics solutions and they’re proud of it. Clicky considers every visitor who spends more than 30 seconds looking at a page as an “engaged” visitor and doesn’t count them as a bounce, even if they don’t view a second page on your site. This makes a lot of sense, since you can’t really say that someone who visits your site, reads a whole post and then leaves was “bouncing”. They just found what they were looking for. With this, Clicky has more relevant bounce stats, especially for blog-style sites where the goal is not necessarily to get every visitor deeper into a sales-funnel.

Clicky Features and Highlights

Conclusion: Intuitive and clean user-interface, reasonable pricing and some innovative features make Clicky a Google Analytics alternative worth taking a closer look at. Clicky has become my favorite analytics solution and I gladly recommend it.

Link: Click here to get Clicky with it.

StatCounter

StatCounter is one of the better-known free Google Analytics alternatives and it’s been around for a while.

There’s no way to be nice about this, so I’ll just say it: Compared to the other solutions listed here, StatCounter is ugly. But, just because you don’t get the “oooh, shiny!” effect when you log into StatCounter, doesn’t mean it’s a bad product. The basic data is all there and you can get insights into visits, visitor paths, popular pages, entrance- and exit-pages, incoming keywords etc.

In terms of segmentation, goals, campaign/funnel tracking and fancy stuff like that, StatCounter lags behind the competition. As with Mint, I found that StatCounter fails to deliver the kinds of insights that will actually help you make meaningful changes to your site.

StatCounter Features and Highlights

Conclusion: StatCounter has one saving grace: it’s free to use. Given that, it’s no surprise that it doesn’t come with all the bells and whistles of premium solutions. Unfortunately, some of those bells and whistles are really important, which is why I can’t recommend this product.

Link: Learn more about StatCounter here.

reinvigorate

Reinvigorate looked very promising, back when I was using the beta version. It still looks exactly the same, now. And that’s a bad thing.

Reinvigorate still feels like a beta product, even thought it’s been on the market for a while now. It has a very attractive looking user interface and it comes with a built-in heatmapping feature which can be very useful.

Unfortunately, in terms of actual traffic analysis, reinvigorate is mostly frustrating. It offers a great overview of the basic stats such as number of visitors, visit lengths and so on, but it doesn’t let you go any deeper than that. I found myself constantly clicking on elements of the UI, expecting to get a more detailed view for a specific page or specific search term. But nothing happens when you click, because more detailed reports are not available.

To make things worse, it seems that this service has been abandoned: at the time of writing their blog has been offline for more than a week (but a link to it from the sales-page remains) and their customer support is unresponsive.

reinvigorate Features and Highlights

Conclusion: in its current form, reinvigorate is a basic heat-mapping tool with some analytics added on. This could be quite useful, but especially since it seems to be abandoned, I’d recommend using a dedicated heatmapping service and a better analytics solution instead. Reinvigorate is not recommended.

Link: Take a look at what reinvigorate could have been, right here.

Piwik

Piwik is advertised as an open-source alternative to Google Analytics and this seems an accurate description. It’s completely free to use and fairly easy to install. Currently only available as a self-hosted script (which has it’s advantages), there’s also the possibility of a hosted version of the service in discussion.

While the Piwik dashboard is nowhere near as fancy looking as some of the competitors’, I immediately took a liking to it. It’s a bit reminiscent of the WordPress admin interface and it just seems to have all the data and all the buttons in the right places. I found it very easy to navigate the data and set up some basic goals for performance tracking. It’s also a breeze to add as many websites as you like to one and the same Piwik installation. Much like with Mint, the Piwik dashboard is very customizable and additional plugins are available to add to the system.

One of the best features is that you can very easily set up and track goals. Beyond the basic stats, I would have liked options for deeper and more detailed segmentation, which is often lacking.

Piwik Features and Highlights

Conclusion: For a free analytics tool, Piwik is quite impressive. I would have liked a few more features, but the only big drawback is that Piwik has the same, inaccurate way of tracking bounce rates and visit lengths that Google Analytics has.

Link: Get a taste of Piwik here.

Open Web Analytics

Open Web Analytics (or OWA) is another free, open source web stats solution, like Piwik. It’s also self-hosted and it’s available as a WordPress plugin, which creates one instance of OWA to track the specific WP site it’s installed on. Installed separately and independently from WordPress, you can use OWA to track multiple websites.

The user interface is reminiscent of one of the older Google Analytics interfaces in the choice of colors as well as the general navigation. It’s not a carbon copy of GA by any means, but it offers the same general navigation options and if you’ve used GA for a while, it won’t take long until you feel right at home with this new interface.

Open Web Analytics is very feature-rich, especially considering that it’s free to use. It can track goals along several steps of a conversion funnel, it offers separate stats filtered by pretty much any factor you can think of and it even offers heatmaps and mouse-tracking. However, be warned: with those last two options active, OWA will gobble up server resources like nobody’s business. A shared hosting account will not find this agreeable.

Open Web Analytics Features and Highlights

Conclusion: OWA is amazing, for a free product. It offers very deep analytics with an intuitive interface. Unfortunately, it also has the same bounce-rate and time on site weakness of most analytics tools. In short, it’s not perfect, but possibly the best free solution available.

Link: Grab your copy of Open Web Analytics here.

Chartbeat

Chartbeat is like reinvigorate on steroids. Which is to say that it’s extremely pretty, but also mostly useless.

Chartbeat has a very strong focus on what’s happening right now, as opposed to the emphasis on historical data analysis that most tools have. On a second-by-second basis, it shows you how many visitors are on your site, how many of them are reading or writing (e.g. comments), the geographic location of the visitors, an action stream and much more. Like Clicky, it also comes with twitter monitoring, so you can see who’s talking about your site or brand, at any given moment.

One very interesting and potentially useful user engagement metric is that Chartbeat shows you a graph of the average scroll-depth for your visitors (i.e. how far down a page they are scrolling). Apart from that, I find it difficult to envision the actual use of all these metrics. Chartbeat shows me what’s buzzing on my site at any given moment, but unless I can match up factors like conversion rates, traffic sources etc. none of this really helps me make intelligent decisions about my site.

Chartbeat Features and Highlights

Conclusion: Chartbeat is very pretty and maybe there are some uses to it. To me, it seems more like a super-attractive distraction than a useful tool.

Link: Marvel at Chartbeat here.

Honorable Mentions: Mixpanel and Kissmetrics

Mixpanel and Kissmetrix are two analytics services that were specifically made for businesses selling services or products. Both of these tools are especially useful if you are selling a subscription service, as they can not only track conversions, but also track retention rates. With that, they can give you insights into where your highest-converting visitors are coming from and what steps they usually take before signing up. In addition, they can help you analyze what makes customers stay with your service for a long time and what makes them leave in a hurry.

Mixpanel and Kissmetrix are very interesting services for a specific type of business. Because they are closely analytics-related, I wanted to mention them here. However, they aren’t necessarily meant to replace your “regular” website analytics and because of how highly specialized they are, they don’t quite fit in with the other services here. Perhaps I will review them separately, sometime.

Go here to check out Mixpanel and Kissmetrics.

My Personal Preferences

Leading up to this review I was using a huge range of different analytics apps for my various websites and I had fun experimenting with all the different features and options. However, at some point I wanted to consolidate my data and not have to log into a dozen different panels to see the traffic stats for all my sites. Currently, I use Clicky as my main analytics tool. I’d love to be able to recommend Woopra, as I think it’s the most promising of all tools, but the disadvantages I mentioned outweigh all it’s great features.

I only use GA on sites that I created a long time ago, using GA from the beginning. I keep it there, along with Clicky, so that I don’t lose the historical data. When creating a new site, I would only use GA if it’s a site monetized with AdSense. With AdSense, Google is already spying on your site anyway and linking AdSense and GA can give you great insights. Any other site goes on Clicky.

I originally wanted to use either Piwik or OWA, but I didn’t like how resource-intensive they were, sitting on my hosting account. So just be warned: if you have sites with a fair amount of traffic, the self-hosted analytics solutions can become quite the resource gluttons.

Conclusion

As you can see, for anyone wanting to keep Google’s googly-eyes away from their visitor data, there’s no shortage of excellent Google Analytics alternatives. Most of these services come with either a free version or a free trial, so there’s nothing stopping you from giving them a test-drive. If you don’t want to spend anything extra for your analytics, then you should give either Piwik or Open Web Analytics a try.

What do you use for analysing your website visitors? And how do you make use of the data you get? Let me know in the comments below!

Cheers,

While we can’t be certain exactly what these signals are, it is widely suspected that bounce rate is an important ranking factor. In this post I’ll define exactly what bounce rates are and describe when a bounce isn’t actually a bounce.

Plus, you’ll discover why the bounce rate data shown in Google Analytics is mostly useless and see what you can do to fix this problem.

What is the Bounce Rate?

Here is Google’s official definition of bounce rate:

Bounce rate is the percentage of single-page visits (i.e. visits in which the person left your site from the entrance page. Bounce rate is a measure of visit quality and a high bounce rate generally indicates that site entrance (landing) pages aren’t relevant to your visitors. You can minimize Bounce Rates by tailoring landing pages to each keyword and ad that you run. Landing pages should provide the information and services that were promised in the ad copy.
- Source

So, effectively – if someone visits a page on your site and then leaves without visiting any other pages on your site (either by hitting the back button on their browser, by visiting another site, closing the browser, or by entering a new domain into the address bar) then that’s classified as a bounce.

When is a Bounce not really a Bounce?

Here’s where it gets slightly more confusing…Consider the following two scenarios:-

By definition, both visitor A and visitor B have bounced, however when used in conjunction with the time on site metric you can see that while visitor A probably didn’t find anything useful on the landing page (having spent only 5 seconds on site), visitor B has stuck around for over 5 minutes, probably found the answer the he/she was looking for and then bounced.

In the search engine industry, this time on site metric is called “dwell time” and dwell time has a very high positive correlation with user engagement.

Consider the example that we used in the “New Rules of SEO” webinar: If a user types in “USD to GBP conversion”, it’s likely that the user will land on a page with a calculator and bounce away when he/she finds the answer that they’re looking for.  In this example, the landing page catered exactly to the needs of the user, but the user still bounced (by definition).

However, when bounce rate and dwell time are used in conjunction with one another, a more reliable insight is gained into how engaged a particular user is with a piece of content.

There is significant evidence to suggest that search engines are looking very closely at dwell time and using it as a signal:

While it may feel like you’ve poured your heart and soul into creating the content on the website, quality is in the eye of the visitor, and short page dwell times can indicate the content is not capturing the visitor’s interest. Something about the content is not grabbing their attention.

- Duane Forrester – Public Outreach, Bing Search Engine

So, what we really should be doing as webmasters is paying attention to bounce rates in conjunction with dwell times.  If we find content that has a high bounce rate and low dwell time, then that is a good signal that the content is not giving the users what they expect.

Here in lies the problem….

Bounce Rates and Google Analytics

The most obvious way to track down content that is under performing in these key metrics is to use Google analytics and apply a filter across all your content.

However, Google analytics only tracks bounce rate and time on site metrics through pageviews.  This is really important to understand – if you don’t then you may start hacking out content from your site that you think is performing badly, but in reality may not be.

For example, if a visitor lands on one of your pages, stays for 8 minutes and 12 seconds before “bouncing” back to the search engines then two things will happen:-

1. The search engines themselves will see this as a positive signal because of the extended dwell time (high dwell time = good user engagement)
2. Your Google Analytics tool will show “100% bounce rate” and “0:00:00” time on site which most webmasters will interpret as a bad signal!  To reiterate: Even though the visitor has stayed for 8 minutes before leaving, it will be shown as “0:00:00″ time on site because the visitor hasn’t loaded another page on your site.

As you can see, there is a huge disconnect between what’s really happening and what’s being reported in Google Analytics.  The disconnect is so vast that less knowledgeable webmasters may end up removing content from their site that’s actually performing well!

Here are some more examples of the disconnect between what actually happens and what’s reported in Google Analytics:-

And here is the quote from Google Analytics themselves to confirm that this is what happens:-

When a page is the last page in a session, there is no way to calculate the time spent on it because there is no subsequent pageview. For this reason, when Page A is the last page in the visitor’s session, its time calculation is not counted for that view. In addition, when that page is the only page viewed in the session, no time on page is calculated.
- Source

Here’s something else that matters: Google does not use any data from your Google Analytics account to calculate rankings.  Sometimes, you have to take what Matt Cutts says with a pinch of salt due to the obvious conflict of interest that someone in his role is faced with – but on this occasion I’m very confident that Google don’t use Analytics data.

I can guarantee that the bounce rate  and time on site stats you see in your Analytics accounts are not the same metrics that the Google Rankings Team use to determine the best results for any given query.  The rankings team need far more accurate data than Analytics can provide.

What This Actually Means for Us

When you notice in your Analytics tool that a page has 100% bounce rate and a “0:00:00″ time on site, this doesn’t mean that the page is necessarily not performing well.  It could be that all visitors to that page stick around for more than 5 minutes before leaving, effectively sending a positive “dwell time” signal to the search engine.  In other words: we have no way of using Google Analytics to reliably determine the worst performing content on our site.

We need a better way of identifying poorly performing content pages.  A way that enables us to make decisions and understand what content is being appreciated and what content is holding our rankings back.

How do we Fix this in Google Analytics?

What we’d really like to know is:- “For each page on my site, what percentage of visitors stick around for longer than x seconds?”.  The value of x is up for negotiation.  Shane and I have agreed that for this site we think a suitable benchmark is 30 seconds.

If someone lands on a page and bounces within the first 30 seconds, that’s a pretty sure sign that they haven’t really found what they’re looking on an information site like ImImpact.  On the other hand, if someone stays for longer than that, then they’re at least somewhat engaged (started reading or watching a video).

Thankfully by using a feature called “Event Tracking”, we can set this up relatively painlessly simply by adding a line of code to our Google Analytics snippet:-

Synchronous Analytics Code (Old Version)

If you’re using the original Analytics tracking code (not the asynchronous version), then this is the code you need:-

Just add the following line under the pageTracker._trackPageview(); line:

Synchronous Analytics Code (New Version)

If you’re using the new version of Google Analytics tracking code (the asynchronous version), then this is the code you need:-

Just add the following as the last _gaq.push declaration in the script:

Thanks to padicode for these Analytics snippets

How Does this Work?

This script will countdown 30 seconds from when the page loads and then will “push” an event to Google Analytics.  Once the event is triggered, Analytics will no longer count this user as a “bounce” even if he/she doesn’t load any other pages on your site.  The net result is that you should see a decrease in the bounce rate on your site.

Here is a screenshot showing the bounce rates before and after the script is applied:-

The Best Way to Find Underperforming Content

Now we have set a bounce to only be recorded if a visitor stays for less than 30 seconds we have a much more reliable set of data that we can use to identify the pages that perhaps aren’t giving the end user what they expect.

To find these pages, I recommend navigating to content -> site content -> pages, clicking on “Bounce Rate” to sort from highest to lowest and changing the sort type to “weighted”.  This will give you a list of pages with the highest bounce rates to the lowest weighted by pageviews:-

With this view you can then sort through the pages to identify those with the highest bounce rates and the lowest average time on page.

Alternatives to Google Analytics

Of course, there are alternative solutions to Google Analytics.  Both Woopra and Clicky have a more accurate way of measuring both bounce rates and time on site through a process called “pinging”. Shane will be updating his Alternatives to Google Analytics post very shortly with more information about this and other new features.

In Summary

This is a mighty long post, so I wanted to write a very quick executive summary for you:-

1. If someone visits a page on your site and then exits that page without visiting any other page on your site then that is a bounce
2. Search engines use a metric called dwell time to determine whether a bounce is a “good” bounce (ie. the user found what they were looking for) or a “bad” bounce (ie. the visitor leaves within 10 seconds because your page sucks)
3. Google Analytics calculates bounce rates and time on site through pageviews.  This means that if someone “bounces” off your page then it’s always reported as 0:00:00 time on site no matter how long the visitor stays for.
4. Event tracking can be used to manipulate the bounce rate metric so that bounces are only recorded if a visitor leaves after less than 30 seconds (example script above)
5. Both Woopra and Clicky are great alternatives to Google Analytics for more accurate data.

We think that Google Analytics should do a better job of providing accurate time on site and bounce rate metrics because lesser versed webmaster may be misled into removing content that appears bad but is actually performing well.

What are your thoughts on this? Leave a comment and tell us what you think!

Split-testing, sometimes also called A/B testing, is the process of testing two or more variations of a webpage against each other in order to determine which one performs better. The goal of split testing is simply to find out how to structure your page so that you can get more clicks, more conversions, more sign-ups or whatever else may be the purpose of the site.

Read on for to learn how and what to test.

How Split Testing Works

Lets begin with a very simple example: We take a hypothetical campaign where we try to get people to sign up to a mailing-list. To run an A/B test, we create two different versions of our squeeze page, one with a blue colour-scheme and the other with a pink colour-scheme.

We will now send our traffic either to a page that serves up one version of the page or the other via some type of script or we will send the to a script that will redirect to one variation of the page or the other. There are different ways to accomplish this on a technical level, but whatever the solution, the result is that 50% of our visitors get to see the pink-themed page and 50% get to see the blue-themed page.

Now, we want to find out which version of our squeeze page gets more sign-ups. To do this, there are again several possibilities, but it always comes down to tracking the source of all our sign-ups or conversions.

Your auto-responder system will almost certainly feature some kind of tracking for this purpose. If you’re measuring click-throughs (to a sales-page or offer), you can track the conversion rates with a tracking system like Tracking202 or similar. You can also set up two separate redirects, one for each of the page-variations, but both pointing to the same sales/offer-page, to see which one of the redirects is used more often.

Again, there’s no shortage of tracking options, but it all comes down to this: Split your traffic evenly between two variations of a page and keep track of which one gets more clicks, sign-ups, sales or whatever it is you’re after.

What to Test

There are three basic rules to follow when doing split-testing:

1. Test only one variable at a time
   If you change several things on a page and get better conversions as a result, you won’t know what exactly caused the increase in conversions. Was it the new font? The different headline? The new pictures? The only way to know for sure is to only change one thing at a time.
   
2. Test big differences first
   Don’t test tiny details as they will rarely make a difference (e.g. exclamation mark vs. period in the headline). Test large, significant variations first.
   
3. Keep testing
   Test two variations of a page against each other. When you’ve found the winner, make another variation of that page and test it again. Repeat this process until no change you can think of still produces better conversions. The worst thing you can do in online marketing is not to test. The second worst is to stop testing to early.

Here are some examples of what you can test:

• Text vs. Video
  Have a text-based squeeze-page and test that against one where you read the text and record a slide-show or some other type of video. You could also test video vs. video and text.
• Long vs. Short
  This goes for text as well as video: Test a long, extensive sales-page against a short one. Test a two-minute video against a 30-minute video.
• Bullet-Points vs. Paragraphs
  Write out a few paragraphs highlighting the main benefits that come with your product or offer. Then test that against a brief description and bullet-points listing the main benefits.
• Different Incentives
  Most squeeze-pages offer some type of incentive for signing up, like a free report or something along those lines. If you have more than one incentive at your disposal, test them against each other as well as one against several (remember that too many incentives can make you seem desperate). Also try giving your incentive a more compelling name and/or description.
• Colour-Themes and Design
  Test a “naked” squeeze-page against one with more graphical elements. Test different colour-schemes against each other. Even fonts and background-colours can make a difference. At the end of the day, you have to make sure that your page is visually appealing to your target demographic otherwise they’ll leave before taking a closer look at it.

Whatever you do, you should be testing your sales-pages and squeeze-pages. Check out Google Website Optimizer, for a free way to do some basic split testing. If you’re a WordPress user, there’s a review of the WP Split Test Optimizer plugin here, which will help you integrate Website Optimizer with your site. Finally, if you just want the overall best split testing solution available (complete with visual editor, super-easy setup and WordPress integration), I can warmly recommend Visual Website Optimizer.

Now go forth, test and prosper.

Cheers,

Market research is usually concerned with the demographics of a market, the amount and kind of competition you can expect, evaluation of what type of content and delivery the target demographic responds to etc.

For this article, I want to take the market research down a notch and present you a very simple, very basic research “method” that you should be applying on a regular basis as an online marketer. Especially if you are new to this game.

Competition “Spying”

To get a feeling for a market (or even Internet marketing in general), go and take a look at websites and sales-pages created by other Internet marketers.

How do you find those pages? If you are already selling products or affiliate offers yourself, simply find some more offers in your niche and run a search on the product names as well as some closely related keywords. Especially for the product names, most of the resulting pages will be pure marketing sites. For your “typical” money-makers like “weight loss”/”how to lose weight”, “dog training”, “make money online” etc. you’ll also find lots of pure money-sites.

If you haven’t decided on a niche yourself yet, just go to ClickBank or CBtrends and search through the product catalogue there. Not that ClickBank is the only or even the most important online marketplace, but it’s the most easily accessible and you can find lots of product names and keywords to search for within minutes.

If you’re a member of some CPA networks, apply the exact same method. Search for the product/offer names as well as closely related keywords and browse some of the results.

What to Look Out For

As you are browsing these sites and pages, here are some things to take note of:

• Types of Sites
  Are you encountering many squeeze pages or sales pages? How are they set up? Is there an order-button right on the page or do they squeeze your e-mail address first? Or are you encountering blogs and blog-style pages?
• Use of Media
  What are you finding on the resulting pages? Is it mostly text, test with images, audio or video? What’s the writing style like? How is the information in the video delivered?
• Visuals
  Are the sites visually appealing? How are they making use of colours and fonts? Are they simple or graphically elaborate?
• Incentives/Promises
  What is being offered on the pages? Are there free giveaways or other incentives? What’s being promised?

Once you’ve taken note of these things, simply ask yourself: Could you do the same? Or could you even do better?

Remember that many of the people behind those pages you’re looking at are making money from them. Of course, not every offer and every sales-page is profitable, but particularly the top listed pages in organic search results are almost guaranteed to turn some kind of a profit for the site owner.

The reason I mention this is because especially those new to online marketing can easily feel overwhelmed by it all and not know where to start. If you just take a close look at what other marketers are doing, you’ll soon realize that there’s no real magic to it. Many a successful sales-page is not particularly pretty and you don’t have to be a genius to create something similar, or superior, yourself.

Allright, now go forth and research! And once you’ve researched, build!

Cheers,

Here’s another video I made after a reader made a suggestion to me. Someone recommended the SEO Quake Firefox plugin and asked me if I could make a video about it. I took some time to play around with the tool and liked it quite a bit. Here’s the video I ended up making:

The plugin is mainly a website analysis tool, although it comes with a few features that go beyond that. While I always try to show both sides of a story, I can’t really find anything to complain about with SEO Quake. It’s fast and functional, you can easily deactivate it an re-activate it (so it’s data and toolbar doesn’t annoy you during regular surfing) and it’s completely free.

If you don’t have a program for analyzing websites yet, I recommend you hop over to the SEO Quake homepage and give this one a try.

Cheers,

Someone made the suggestion to me to make some tutorials about Squidoo, an interesting article/webpage publishing service that many online marketers use for a bit of article marketing and backlink building. I will be publishing a series of Squidoo tutorials here, shortly. Before that, let’s take a look at some of the top-ranked lenses out there to see what we can learn about making great Squidoo lenses.

Method

To learn about the best lenses on Squidoo, I simply took a look at all of the top ranking ones within Squidoo itself. The site has it’s own ranking system that evaluates the lenses according to how many visitors they’ve had, how frequently they are updated, how many ratings they get and probably many more factors.

I spent some time browsing the top entries in every category as well as some random, not highly ranked lenses to get a feel for what contributing factors to a high rank might be.

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Content

While I will be talking about some objectively measurable metrics in just a minute, you always have to keep one thing in mind: There are many factors that play a part in getting your lens noticed, liked and ranked highly, but above them all is the quality of your content. If your content is not compelling, interesting and generally worth reading, it doesn’t matter how much you tweak other aspects of your lens, it will simply never fly.

Having said that, let’s go ahead and take a look at some of the other factors that I found the most popular Squidoo lenses have in common.

Length
This one is quite surprising, actually. It turns out that the majority of Squidoo pages that are getting a lot of visitors, are very long. Since Squidoo is very multimedia rich, I didn’t do a word-count. Instead, I just counted how many pages I had to scroll down on my screen in order to get to the end of the page.

The shortest lens among the top ranked ones I analyzed was 5 pages long.
The longest one was a whopping 32 pages long!
The 20 top pages I analyzed had an average length of 17.5 pages.

Image Density
With only very few exceptions, the most successful lenses all feature a lot of images and the occasional video. I didn’t count the images in the Amazon ads modules or the user-pics in comment-modules, only the images and videos the author inserted themselves, by hand.

On average, the lenses I analyzed have exactly one image or video per page. So when you go through them, you’re never just staring at text.

Here is how the image density (imaged per page) was distributed for the lenses I analyzed:

What this shows is is that there are some exceptions with lots of pictures and some with very few (steep bits at the beginning and end of the curve), but the majority of the lenses have around 0.8 to 1.2 images per page. So, having at least one image per page seems to be a good rule of thumb.

Interactive Modules
On Squidoo, you can include different interactive modules in your articles. From simple comment boxes to polls there are lots of possibilities to get the readers involved. I noticed that practically every successful lens contains at least one interactive element. Practically every lens I looked at had a comment section. Most of them also included a poll or some similar type of interactive module. I can imagine that these modules motivate readers to return to the lens several times, to see whether someone has replied to their comment, for example.

On average, the analyzed lenses had 1.7 interactive modules. Most of them had two.

Trending Topic
Finally, I noticed that around one third of all the top ranked lenses are about a topic that is something of a trend. For example, you can find quite a few highly ranked lenses about twitter, the new Twilight movie, celebrities and, currently a real winner, Christmas.

This is no big surprise. Content about current and trending topics tends to do well and Squidoo is no exception.

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Build That Lens!

So, there you have it. Head on over to Squidoo and build a lens. Add lots of images, make sure your readers get to have their say once or twice on the page and write about a current issue and you could potentially have a traffic-driving winner on your hands. Give it a shot!

For more instructions on how to go about building a lens, check out my upcoming video series.

Cheers,