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The World Needs Better SaaS Analytics

Posted: March 24th, 2011 | Author: | Filed under: Analytics | 2 Comments » New and exotic analytics packages are all the rage nowadays. Traditionally, packages like Google Analytics were most common, and you can even go open source with Piwik (which does much of the same thing). There are also event based services like KissMetrics and MixPanel, which are useful when you have a complex app where events may or may not be interrelated. Those are all well and good, but what I really want is a nice, comprehensive service for tracking software as a service funnels, signups, and paid plan conversions with baked in churn, lifetime value, and other vital SaaS statistics.

Why don't current packages work?

They all seem to cater to specific uses that are more or less useless when you run a business selling subscriptions for online software. For instance, Google Analytics (or GA) is pretty much the web analytics poster child. However, it is really focused on pageviews and e-commerce style goals. It doesn't understand the nature of subscriptions and that not all goals are created equal. For example, a user that signs up for a trial is good, but it doesn't put money in my pocket. Likewise, a user that converts from trial to paid is great but if they only pay for a month or two before cancelling, that's not as good as sticking around for perpetuity. GA also falls short of tracking that user's actions that might lead to a paid conversion. And let's not even mention differing plans. KissMetrics and MixPanel move in the right direction but unfortunately, they fall flat as well. Luckily, you can track and build complex funnels and see which events generally precede other events, but making a conversion an event with no associated cost tracking pretty much brings us back to square one. What are these events worth? Where is the traffic coming from?

What would be the perfect solution?

My perfect solution would that let me tag user types and assign a recurring value to those user types. For example, a free user has little to no value. A trial user has more value, but still very little. A paid user has a distinct value which can be adjusted based on the current plan. Ideally, an elegant solution for tracking signups, conversions, payments, cancellations and various transactions would make things a lot easier. Also, it would collect all the traditional stuff like GA does. Think referrer, entrance page, time on site, etc... Once all that data is server side, we can get an awesome revenue dashboard with baked in analytics similar to GA. We can track churn and lifetime customer value by all the usual metrics: traffic source, landing page, campaigns and more. We can see how certain funnels perform according to metrics that matter to our bottom line. We're talking powerful, decision enabling stuff.

So, would you be interested?

I've been building my own private analytics package for tracking BitBuffet.com, but I am thinking about polishing it up and making it public. You can view my placeholder here: SaaS analytics. What would you want to see? Am I missing any key features?

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Posted: November 2nd, 2008 | Author: | Filed under: Analytics, General, Open Source, Tutorial | 116 Comments »

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Posted: October 14th, 2008 | Author: | Filed under: Analytics | No Comments »

Generic name for macrobid, Web statistics packages are now mainstream and very much accessible to the average web administrator; in the past, this wasn't always the case. When Google bought Urchin in April of 2005, it was already an industry leading company specializing in providing an statistical package to webmasters allowing them to track pageviews, clickthroughs, sales, bounce rates and more for each individual user. Now, it is the number one analytics package available online, does macrobid affect birth control, it is free, and it is extremely popular.

So let's learn a little about web analytics. While it is a great tool and gives insight into your most important of commodities, your users, it has its limitations.

Basic Statistics


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Page Views


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Visits


This stat lets you know how many times your website has been called upon at least once in a given time. Buy macrobid without prescription, This statistic is a bit more advanced than page views because it keeps track of sessions. For example, if a user looks at 5 pages now, leaves and returns 20 minutes later to double check a single page, your analytics package will rack up 2 visits and 6 page views.

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Bounce rate is a bit more advanced and definitely more useful. It tells you what percentage of visitors arrive at your website and leave before viewing extra pages, macrobid 100mg. You want this number LOW, unless for some reason you have a website with only one page. If you only have one page, its impossible to get that second click. Generic name for macrobid, This is an extremely important stat, more on that later.

Average Time on Site


This lets you know how long your average visitor stays on your website, this is usually highly correlated with Pages Per Visit; the more pages they visit, Buy macrobid, the longer they generally stick around.

Percentage Of New Visitors


This is a great stat for letting you know the degree of influx of new visitors. Alone, it just gives you a general outline of the mix of returning and new visitors but without some more information, like growth in visits, it is just a number.

Basic Trending and Forecasting


A great way to use your new found statistics is for trending. You can get an estimation of growth or how your user mix changes over time. For example, a young website will have a new visitor stat in the 90% range while a mature blog will likely dip under 30% or 40%, generic name for macrobid. So a little context is required to make sense of your site's growth, generic name for macrobid.

A major setback in Google's Analytics package is the fact that it lacks a forecasting feature. To top things off, it also doesn't have a robust export function for friendly CSV formats. In a perfect world, your data would be free to analyze and forecast on your own, but I digress. Generic name for macrobid, The most common way to trend growth is with a mix of Page Views and Visits. Macrobid for sale, Using Excel, one can generally graph and project growth with either a linear or exponential curve. Linear curves are more realistic as exponential graphs tend to be great in the short run but highly optomistic in the long run.

Website Optimization


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Another way that analytics packages have transformed the face of the web is with the use of goal funnels. Goal funnel are customizable and track each page leading to a sale. For example, clicking a products page might be the first step. Clicking a buy now might be the second step. Entering your username and password or creating an account might be the third step, generic name for macrobid. Uses for macrobid, Entering your contact information might be the fourth step and so on until the item is purchased and the user is directed to the final step, a thank you page.

By keeping track of how many steps a user takes before changing their mind, you can identify problem areas in your funnel. Asking for too much information to sign up. Do you really need two phone numbers. Generic name for macrobid, Try correcting that and see if your conversions increase.

Get Involved


The best way to get a feel for analytics is to ask your tech guy for assess to the web stats. It is likely that he or she will be more than happy to let you view the statistics for your website. At Mid Mo Design, we employ industry leading analytics packages in conjunction with hands on analysis and optimization. Every project we tackle comes with a unique analytics package and the client is encouraged to become engaged in tracking our success. Contact us today if you need assistance with any of the above.

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