IMO.IM integrates Skype, AIM, MSN etc.

February 8th, 2010 by David McKillen

imo.im

Have you checked out IMO.IM yet? I have been using Meebo for a while now to combine all my different Instant Messaging applications. Meebo was the first of its kind (that I came across anyway) but still has yet to integrate Skype into it’s list of available tools.

Just today then I happened to be on Skype and noticed a friend of mine had the tagline “I’m on imo.im” and it peaked my curiosity. Basically IMO incorporates all the main IM tools, including Skype, which makes it very useful to me. Not only does it allow you to easily incorporate Skype with your other IM’s in one location but it also maintains the voice capabilities, enabling voice and video chat.

Another cool feature of IMO is the ability to video chat with any of your buddies, regardless of what IM client they use and whether that client has built in video chat capabilities. This is a very useful too for distributed work groups.

IMO can be “popped out” such that it sits as a sidebar on your desktop which is nice as it remains visible while you browse to other websites. Another cool feature of IMO is that it doesn’t require any sign up. At first this was a little confusing to me – seeing a login box but not requiring any sign up (but then I’m pretty simple :) ). IMO simply allows you to login to any of the list of IM’s you currently use (say Gmail). You can then log into each one in turn and then “link” them all so you can access all from the same spot. IMO encrypts and stores your passwords and you never have to login again – pretty nifty :) .

The interface might not be a pretty as say meebo.com but it’s clean and simple, and it works!

Nice extra features: You can send broadcast messages to other IMO users in your network, there’s a whiteboard that allows colaboration between IMO users in your network, invisibility and blocking and more.

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How To Include Only Specific Referral Sites In One Google Analytics Profile

January 31st, 2010 by Chris Leone

Here’s the scenario: You’re using Google Analytics and have been assigned the task of separating a slew of different traffic sources. This includes PPC, Organic, Direct, and Referral. The first three are very straight forward: a new profile with a basic include filter. However for referral, you need to get more specific. In this case, you want to breakdown individual affiliate referral sites. Once you’ve done that, you want to categorize them based on Daily Deal sites, coupon sites, etc.

You have a couple options. One option is to tag the URL’s using the utm method. This allows you to add extra information to the destination URL which then shows in the traffic sources report. Adwords already does this and Google has a great resource for generating them for your campaigns.

One drawback to this method is if you are running many campaigns, you would need to ask each individual affiliate to change the destination URLs for your ads. This could take a long time and could lead to plenty of user error. Another issue is after you’ve tagged the URL’s you need to create advanced segmentation to track them in your profile. Because of the way Google collects their data, you are unable to view certain metrics for advanced segments including Absolute Unique Visitors, Keyword Positions, Goal, Funnel and Benchmarking reports.

goalfunnel

Advanced Segmentation is convenient and I love it for breaking down data (especially historical data), but some of the above drawbacks have forced me to explore an alternate method for collecting and analyzing specific affiliate data.

If advanced segmentation won’t show me everything I need, I need to create a new profile and implement filters so I only see the data I came to look at. Here’s a step by step process to do just that:

1) Identify/categorize the specific sites you want to track. Work with the marketers/consultants/whomever to single out the specific affiliates you want to track as well as how they should be categorized. Start with an export of referral source data. This way you are selecting sites using the way Google Analytics displays them in the reports. This will be important when you set up the filters.

2) Backup. Using filters is a very, very powerful way to manipulate data collection, but you should take some precautions before ever implementing a single one. Ensure you have a backup profile off all raw data that will never be touched or manipulated. Create this and never worry about it again.

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3) Create a new Affiliate profile. In an example like this when you’re tracking a specific traffic source, it’s better to start fresh than use an existing profile. This way all of the data ever viewed in this profile is representative of the sources you’ve specified.

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4) Use advanced filters to rename affiliate traffic. What makes the affiliate traffic a unique problem is there’s no inherent way to separate it from other referral traffic. Meaning you can’t filter them simply based on a characteristic of the URL. Using a combination of UTM and filters would be the one exception to this because it allows you to create a unique characteristic for the URL that you can then use to filter. But by default, you won’t have this so you need to do it yourself. Below is an example.

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Site.com is considered a deal site affiliate, so in field A I extracted the URL then renamed it placing the “- deal site” at the end. Note: Be sure to double check the format Google Analytics uses in its referral report when filling out Field A.

Once you’ve done this,  site.com shows as “site.com – deal site” in my referral reports. Do this for every affiliate and then create an include filter that only allows sites with the new extension into the reports. Be sure the include filter is at the bottom as filters are implemented in the order in which they are listed.

Now you have a Google Analytics Profile exclusively showing your hand picked affiliate sites.

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Help Haiti

January 25th, 2010 by David McKillen

You can make a difference even just by making Google code available on your site

On January 12 2010, a 7.0 magnitude earthquake struck Haiti. It’s easy to sit back and almost ignore the news reports. In most cases neither you nor people you know have been directly affected, however, as of this moment in time, estimates of the numbers killed in the Haitian earthquake range from 50,000 to 200,000. Did you know that’s about the population of Richmond, VA? It might be a cliche at this stage but even $1 can help and might be the difference in saving another Life. You can join recovery efforts mobilizing around the world to assist earthquake victims and your donation will help disaster victims rebuild their lives and their communities.

There are however other ways you can help too if you don’t feel like helping financially. Google Crisis response is an application which you can embed in your website or in your blog to help other peoples to share any kind of information they have about the victims of Haiti disaster.

Use the following code snippet and put it in the text/HTML box widget.

Quote:
<iframe
src="http://haiticrisis.appspot.com/?small=yes"
width=350 height=300 frameborder=0
style="border: dashed 2px #77c"></iframe>

You can also donate to save the lives there. Follow this link to donate.

The organizations are accepting SMS donations in the US :

  • SMS text “HAITI” to 90999 to donate $10 to Red Cross relief efforts
  • SMS text “YELE” to 501501 to Donate $5 to Yele Haiti’s Earthquake Relief efforts
  • SMS text "GIVE10" to 20222 to donate $10 to Direct Relief
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The Maturity of the Tail

January 20th, 2010 by Gerald Glickman

Years ago, the internet was kind of this untapped void that we were all excited about.  As industry, business, and culture have absorbed more and more of the internet into our daily life and processes, we have a better sense of what the internet might be able to do for us.

We’ve searched, and found.  If we don’t find exactly what we’re looking for, we have a decision to make.  Do we change the search term in general or perhaps make it more specific?  Research shows us that over the years we have done both.

In 2000 I might have searched for “pizza Blacksburg Virginia”.  In 2010 if I want pizza I search for “pepperoni pizza specials 23221”.  Why?  Because in the last decade we’ve all grown more and more accustomed to being able to find what we are specifically looking for.  If the search is too specific we can always make it more general – but this model has flipped as usage and growth of the internet has taken place.

Take a look at the average amount of keywords per search query over the last few years. Between 2004 and 2005, 1 and 2 word search terms comprised more than 50%.  Since January of 2009, more than 50% of all search terms are 3 words or more.  Not surprisingly, research also tells us that user satisfaction increases with the length of a given search term.  People know that they can look for whatever they want and most likely find it.

Keywords per Search

Keywords per Search

The implications involved with this to me aren’t always apparent to most business owners.  To me, this is what that means for any business (especially niche businesses or B2B): whatever you do – it’s no longer a niche because the world has the ability to look for exactly what you do at any moment – and they are!  If you have one single competitor, you should probably look into making sure you are in front of the people that are looking for you regardless of how your business has been successful in the past.

Sources: http://ils.unc.edu/~dianek/belkin-sigir03.pdf

http://www.trendsspotting.com/blog

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Web Analytics – Ya Gotta Go Deep

January 18th, 2010 by Chris Leone

Many (and by now I HOPE most) sites have some form of web analytics implemented; be it Clicktale, Webtrends, Yahoo, or the ever popular Google Analytics. Many business owners or internal marketers speak of their web analytics like a grandmother speaks of her new computer: “It’s looks complicated. What do I do with it?” For something that’s free and relatively easy to install, it’s no wonder so many have it. The reality is most don’t harness its true power, but only scratch the surface – the equivalent of using your brand new Macbook Pro to only check Facebook.

Like social media sites, just having the analytics (or Facebook page, or Twitter account) won’t get you anything. It won’t get you traffic, it won’t build your brand, it won’t explain why your shopping cart has a 99.8% abandonment rate. Yes, the data and potential is there, but without the proper groundwork and planning, you’ll have a very difficult time adding any value to the business.

To have any impact, you first have to identify what you’re trying to impact.

It sounds obvious, but it isn’t always. Most managers/bosses/owners will tell you “Well, I want sales to improve, of course!” While it’s an understandable response, it’s the equivalent of telling a doctor, “Doc, make my life better.”

On the bright side, learning that their sales need improving gives us a starting point. We can view shopping cart funnel data, bounce rates and conversion by traffic source and keywords, etc.. Basic run of the mill web analytics analysis, more or less. Continuing with the medical analogy, after being asked to improve your life, the doctor would give you a physical, interview your friends and family members, then come back with a list of recommendations on how you can make your life better.

This isn’t too hard to pull off, but the problem is the method is not unique to you. A turn key approach is never unique enough to solve and improve your unique problems.

So how do you get past the generic “make my sales better,” response? You ask to dive deeper. If the owner doesn’t have the time to get into the nitty gritty (which is understandable – they’re trying to run a business, after all) ask who’s the next best person to speak with. It could be internal marketers, analysts, consultants, etc.

Now that you’re speaking to more micro-focused individual or team, we need to start identifying more manageable goals to achieve the ultimate goal of “better sales.”

Sales happen because of customers. If we want sales to improve, we need to better understand our customers. “Customers” as one large bucket is still way too large to analyze and draw actionable insight from (at least, in the age of web analytics it is). Find out which kind of customers they want to know more about. A large ecommerce site may want to know how effective its email marketing and affiliate program channels are doing when it comes to sales. BOOM! A couple new Account profiles here, some custom filters there, and now we have two reports for just email marketing visitors and affiliate program visitors.

Screen shot 2010-01-18 at 1.03.56 AM

Sticking with the ecommerce scenario, identify next what product categories are most profitable for the business. If UberWidgets are the most profitable followed by SuperWidgets, use custom segments to break your reports into those who purchase UberWidgets and SuperWidgets as well as those who look at UberWidgets and SuperWidgets but don’t purchase.

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Combining these segmentations with the reports showing only email or affiliate traffic, we can see how each referral source performs when it comes to producing the highest ticket sale. Comparing the purchased traffic versus the non-purchased traffic for a single product category, we can easily uncover what’s different about those who buy versus those who don’t. If your product lines and prices range significantly, you can break down price levels using custom segments (more achievable with properly configured ecommerce reporting).

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We’re starting to get some great data, but don’t stop here!

Say your business offers incentives or extended options for those in close geographic proximity to the physical store. For example, you’re headquartered and have stores in Richmond, Virginia but ship nationwide. Central Virginia residents can have their purchase picked up in store to save on shipping costs. With this added incentive, it would be worth your time to individually segment Virginia web traffic and see how their behavior differs from those who can only have their purchase shipped.

These exercises can be done over and over with different variations – each time uncovering more of your data’s story. We are no longer asking the doctor to make our life better, but instead asking him to fix the pain we experience in our right shin when we go running. The more specific we are in what we’re trying to improve, the better chance we have of making an impact.

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