blogspot tracking issue

[Update: This has been fixed!]

On Friday, Google appears to have made a change that's affecting tracking for blogspot.com hosted sites. A significant portion of our userbase is tracking blogspot.com sites so we want to get this figured out as fast as possible.

The issue is strange. The majority of people saying tracking broke, it's only affecting visitors from Germany. This raises a red flag to me, as I know Germany has strict privacy laws. Google may have agreed to block third party scripts from loading for people who visit blogspot.com sites and live in Germany. That's a stretch but... who knows.

Another possibility is that Google is "forcing" their dynamic view templates on visitors in certain countries now, either as a test or that's just the way it is. I know that it is not possible to track blogspot sites that use this new format, so that would explain it. However it seems strange Google would do such a thing, especially without publicly announcing it first. The last post on their blog was 3 weeks ago.

The frustrating thing is that everyone who has contacted us, I've gone to their site and verified the code is still installed. I click around on multiple pages, then view their visitor report on Clicky and verify every page I viewed was logged correctly. So everything seems fine. The code is there. I get tracked. But the stats for all of these sites are definitely way off compared to last week, so yes, something is wrong - but it's not on our end.

And of course, there's no way to contact Google about this, other than praying they see this post.

Does anyone know what is going on or have any ideas?
8 comments |   Mar 19 2012 12:40pm

Filter visitors by time spent online

We've had the ability to filter by actions, e.g. exactly 10, or greater than 10, or less than 10, for quite a while now, but we didn't have the same things for time spent online. Also, we didn't have double boundary support, e.g. more than 10 AND less than 20, which means we couldn't link to these filters directly from our engagement reports, something that has always driven me crazy (and you too, based on the emails we've received).

All of this is now fixed. It also works with the API, and the docs have been updated.

Time online is specified in seconds. Formats for both parameters are specified as shown below, if you are manually typing one in to filter by, or using the API:

10 = exactly 10
>10 = more than 10
<10 = less than 10
10,20 = range of 10 through 20 (including 10 and 20)

0 comments |   Mar 16 2012 4pm

Unique ID tags and filters (yes, finally)

The ability to "tag" visitors based on IP address is a very popular feature and something we've had for 5 years now, well before we ever started using cookies to better track unique visitors. When we added tracking cookies to the mix, we never updated the tagging system to support them. That was almost 2 years ago but as of today, we now finally support these cookies too.

When viewing the details of a visitor session, there used to be a "name this visitor" link next to their IP address. We've reworded this to just say "tag", but there's now two of these links: one for the IP and one for the UID so you can click either one.

In site preferences, the sub-menu has been renamed from "IP tags & filters" to "Visitor tags & filters", and in here you can manage all of them. When creating one from scratch, we determine if it's an IP or a UID based on the pattern of the string you enter. UID's are just numbers like 123456 so if that's what you enter, we'll use it for UID tagging or filtering. If however it's standard IP format (1.2.3.4) then it will be a normal IP tag/filter as has always been.

That may sound confusing but the good news is that the vast vast majority of you create tags and filters directly from the session details page, so you don't have to worry about the number you're actually entering, it's done for you automatically. It still works that way, so just keep doing what you're doing and all shall be good.
10 comments |   Mar 15 2012 2:36pm

Track your Facebook storefront with Clicky and Zibaba

We have partnered with Zibaba to offer real time analytics to anyone who sells, or wants to sell, products or services through Facebook.

Zibaba lets you create an online store directly on your Facebook fan page. Visitors can buy, share, recommend, and "like" products, ask advice, and share discounts, generating buzz among their growing networks of Facebook friends. And now, thanks to Clicky, you can track it all in real time.

There numerous advantages to selling through Facebook. Facebook users spend a ridiculous amount of time online, and are 9x more likely to engage with online retailers, to name a few.

If you're interested, but not sure about selling on Facebook, Zibaba offers new users a 14 day trial period to test out the software for free. Sign up here!
1 comment |   Mar 07 2012 5:08pm

Path analysis (beta release)

Almost 3 months in the oven, we are finally ready to release a BETA of our path analysis feature. We're releasing as beta because there are still a few quirks and we want your bugs reports and feedback on the interface and what you think it could do better. This is a Pro or higher feature, of course.

Part of what took so long was making it fast, because we know our visitor filtering isn't exactly the fastest thing in the world, especially for high traffic sites over large date ranges. But we are limiting this to a maximum range of 31 days at once for the time being, to make sure resource usage doesn't get too ridiculous, until we know how you are using it.

There are two different features in this release.

Simple path analysis

I like this one because it's quick and dirty and requires zero forethought. When viewing your Content or Events reports (planning to add downloads and outbounds later), you'll see an icon next to each item:



Click this icon (not the star, the other one!) to see an inline popup of the top 30 next and previous pages, for whatever date range you are viewing. If you're interested in seeing top next/previous pages for a page listed in there, click it and it will keep on going. Here's a good example for our upgrade page:



The top previous page is /user/. Makes sense as that's the starting point for most registered visitors, and there are links to upgrade right from that page.

Second previous page is /user/sites - this is where people register new sites on Clicky. If they're at or over their limits for how many sites they can track or how much traffic they're allowed, we prompt them to upgrade first.

Third previous page is /compare/, which is our competitor comparison matrix. From our upgrade page, we have a link to this comparison matrix, so people can compare our pricing and feature set, which we think will help win over more customers since most of our competitors are 400+% more expensive than us (ouch!). So how would this be a previous page? Well, after people look at it, they go back to the upgrade page! Well, some of them anyways :|

The next two aren't horribly relevant but the sixth one, /user/users is. That's where you add additional user accounts. If you're at your user limit or your account doesn't have access to that feature, then we say, hey, you gotta upgrade!

I could go on all day but the point is simply that seeing what pages are actually pushing people towards paying us for our service is extremely interesting. I of course had a hunch about these most popular paths since I designed the entire flow of our web site, but I didn't actually know. Now I do and it's great!


Real path analysis

This other aspect is much more powerful but takes longer to setup. That's to be expected of course, and if you take the time to do so it is pretty fantastic. In the future, we plan to group this together with goals for multi-step funnels. That's not making the initial cut though.

To reach this report, go to Content, then the Path Analysis sub-tab. It gives a brief overview of how to use it. Click the link at the top to start analyzing. Once you enter in some paths and click "run analysis" on the bottom right, it will analyze your input and return a report like the one below. This example is fairly simplistic but I don't want to showcase too many private details of our business here.



Until we integrate this into goals, you can use this as a kind of faux multi-funnel goal system, because you can save paths to quickly access them later.

Important note: In the screenshot above, see how the green arrow on the right has a little "break" in it? This represents "infinite" steps in between each path. In other words, it means the visitor didn't necessary go directly from the first page to the next, but after viewing the first they eventually viewed the second one. This is always the default when adding new paths in this interface. But if you only want to analyze direct path 1 -> path 2 flow, just click that arrow and it will become closed, representing a direct step:



After you make that change, you will have to click the Run Analysis button again. In fact, any change you make in this interface you will have to do that. The reason for this is if we were auto refreshing it with every change you made, it would take a lot longer to create exactly the report you want. So instead, we let you do all the steps you want first, and only process it when you tell us too. This is an important note because it works differently than all other reports on Clicky, which all react instantly to anything you click.

So, play around with it and let us know of any bugs you find or additional features you'd like. Barring any serious bugs, we're going to take at least a few weeks break from this because we could really use it. So we'd expect that the "official" release with some of your suggestions and hopefully all bug fixes would be out in about 1 month.
9 comments |   Mar 06 2012 4:49pm

Next Page »




Copyright © 2017, Roxr Software Ltd     Blog home   |   Clicky home   |   RSS