Showing posts with label data. Show all posts
Showing posts with label data. Show all posts

Friday, February 11, 2011

Web Analytic Tools – Which is Right for You?

Analytics are a web-site owner’s best friend. They can help you optimize your strategies and tactics. They help you get a better understanding of what your customer wants, needs and is searching for.

Website analytics can be the most valuable asset you have. However, choosing the right analytic tools can be overwhelming. There are many to choose from. Here’s a brief list of some of the more popular analytic tools, and advice on how to choose the right one for you.

Google Analytics

Google Analytics is free. You simply register with Google if you don’t already have an account. Sign up for the analytics tool by providing a bit of information about your website. Then it’s merely a matter of copying and pasting the code into your website.

You can choose your settings and the data you track. Google tracks visits, average time on site, page views and the referral source. It also tracks geographic data and can be used to track split testing results. It’s a comprehensive analytics tool that provides just about everything a website owner could need.

Piwik

Piwik is a free open source type of analytic tool. It’s also open for development. This can be a big advantage if you want your analytics to accomplish something new. Piwik is designed to be the open source alternative to Google analytics so their offerings are similar. With Piwik your analytic data is on your server. You own your data. Additionally, you can customize your interface to suit your needs.

AWStats

AWStats is another popular analytics tool. Again, it provides much of the same data as most other analytics tools. However, it also provides some unique data. For example:

* Visits of robots

* Worm attacks

* HTTP errors

* Number of times your site is added to a visitor’s favorites

AWStats doesn’t work with all websites. You’ll need to double check before you install it. It can work with all web hosting providers which allow Perl, CGI and log access.

Site Meter

Site Meter offers two options. They offer a free version. They also offer a paid version that starts at $6.95 for 25,000 page views. The rate increases depending on your page views. Site Meter offers a vast amount of information including page views, bounce rate and time spent on your site. Site Meter also tracks the path your visitor takes when they arrive at your website. This is extremely valuable information. It can help you tighten your website content and copy to achieve a desired result.

Which Analytic Tool Do You Choose?

Decide which data points will be most useful. What do you need to know to optimize your website?

Also consider who you trust with your data. If you utilize a service, then they have access to your website data. If you install the software on your server then you’re the only one that has access to your data. Also make sure you can easily read and understand the reports. All of the tools mentioned provide demo data and reporting.

Once you have a trusted source and the data you need to grow your business, it comes down to price and personal preference. Most analytics tools are free or very inexpensive. Choose your tool, install it and start taking advantage of the information website analytics provide.

Is there another service you use that you’d like to share with the readers? Please feel free to leave a comment.

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Sunday, December 5, 2010

When’s the Best Time to Publish Blog Posts?

This guest post is by HubSpot’s social media scientist, Dan Zarrella.

Of all the data analysis that I’ve done, day-of-week and time-of-day data has been consistently the most popular. So in preparation for my upcoming webinar, titled Science of Blogging, I decided to combine all of my existing data on timing with my new research into one master post on the subject.

The first time I looked at blog post timing was when I was analyzing retweets. I found that retweets exhibit a strong diurnal pattern, in that they’re more common during the day and less so at night. I noticed that retweet activity tended to peak around 4pm EST, suggesting that this might be the best time to tweet a blog post for maximum potential retweet reach.

When I looked at retweet activity over the days of the week, I saw that they peaked later in the work week, specifically on Friday.

Since I first published this graph, the most frequently cited piece of this research has been the idea that Friday at 4pm is the most retweetable time of the week. While your niche maybe different, this data was based on analysis of nearly 100 million retweets, so in aggregate, Friday at 4pm is indeed the most retweetable time of the week.

Moving on from retweets, I started studying Facebook sharing and discovered some things that surprised me about timing there, too.

First, while major news sites and blogs publish articles during the work week, articles that are published on Saturday and Sunday tend to be shared on Facebook more than those published during the week. Perhaps one reason for this is that (as Wired reported), more than 50% of American companies block Facebook at work.

Next, I looked at the effect that the time articles were published had on the number of times they were shared on Facebook. I found that while there is a fair amount of variation, articles published in the morning, around 9a.m. EST, tended to be shared more on Facebook than articles published at other times of the day.

Looking back at these four data points, it may seem that they’re contradictory, but thinking through them a bit more, we can see that they is not necessarily so. Both day-of-week charts tell us that we should experiment with publishing articles later in the week—on Friday and Saturday specifically.

And by publishing posts early in the day, but tweeting them later in the afternoon, we can stimulate both Facebook shares and retweets.

I recently did a survey of over 1,400 blog readers and I asked them what time-of-day they read blogs. Morning was the most popular, followed in decreasing popularity by the rest of the day. Most respondents reported reading blogs at more than one time, so this piece of data reinforces my suggestion to publish early in the morning.

The best timing advice, however, may actually be around frequency. Last week, I analyzed 1000 of the most popular blogs on the web, according to Technorati. I compared their posting frequency with the number of incoming links and visitors they had attracted (according to Yahoo and Compete).

I found that among very popular blogs, publishing multiple times per day led to a huge increase in a blog’s success. This tells us that rather than focusing one perfect day or time, we should aim to publish at many times, and on many days.

Have you experimented with post timing and tweeting? What has your experience shown about the best times of day or week to reach your readers?

Dan Zarrella is HubSpot’s social media scientist. This post contains data from his upcoming webinar The Science of Blogging, taking place on December 9th.

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