You can deploy certain tricks to track users across domains, devices, browsers, and time but there are limitations in tracking codes. Since you are limited to what you are currently using, let’s attempt to solve the problem of tracking consumers onto your competitor’s website with what you are already using.
The fundamental problem with competitor tracking is ownership.
Since all the tracking codes embedded on websites all over the web are running all the time, you’d think that there would be a way to find out what happened after consumers leave your website. The short answer, sorry… you don’t get to see it. Why? You see, the reason you do not get to know is that you may only see data from tracking codes that you own and utilize. It would require you to have your tracking code installed on every website to get all of that tracking data.
Well, then how do websites obtain competitor data? At least for now, as of writing this, everyone’s information is considered private. The web browsing data across the internet is tracked by dozens of big data companies who have access to every businesses’ competition, but that information isprotected by privacy laws.
For the most part, an individual’s data is private, secure, and encrypted. When large data queries are made to analyze the data and pull out insights into competitor’s, every user is made as anonymous as footprints in the snow. This means that marketing research and analytics tools can have access to trackable data, but at a steep price for those with deep pockets and access.
Here are the basic steps you can follow to widen your tracking capability:
Switch to a Tag or Code or Pixel Manager
Utilize Cross Domain Tracking
Improve The Quality of Data with Custom Dimensions
1. Switch to a Tag or Code or Pixel Manager
The most common manager isGoogle’s Tag Manager. I will refer to this as that is what I have been using for years and it allows me to make manageable changes and customization to a vast amount of websites.
I would recommend that you take the time to set it up with the best practices of implementation including conventions, standards, protocols, etc. The result will be a single-stop-shop of all things tracking.
2. Utilize Cross-Domain Tracking
I will again reference this regarding Google Tag Manager because that is what I have been using and what I know best. Before you can start utilizing Cross Domain information you need to set up your tracking code to allow for it. You’d want Cross Domain tracking if you want to track individual users that hop around on your websites. The alternative is that every visit will be seen as a unique user and your traffic numbers will be inflated with artifacts.
Within Google Tag Manager, using the newer interface of creating a Google Analytics Settings Variable, you will see the Tracking ID field, and the Cookie Domain field, at the beginning of creation. I am skipping beginner steps here to focus on the ability to implement cross-domain tracking between websites you own and have tracking codes on.
The setup for one of our variables may look familiar. The value you want to consider is the cookie domain field, entered as “auto.” Second, you will drop downMore Settings, andFields to Setto allow inter-linking as shown below:
In the field value, type “allowLinker” or select it from the list that will appear. Enter “true” for the value. Now you are ready to add your referral websites. I will give you a shortcut after I explain.
Referral lists are the URLs of the websites that you own with tracking codes that will be sending traffic between them. This is done to facilitate the cross-domain transfer of individual users between the sites you list. So gather up the list of your websites and write them down. We are going to add them to a constant in Google Tag Manager.
The final field in the Google Analytics Variable is the Auto Link Domains field. Here you will click the grey “add” block on the right and add a constant. In the constant value add all of your website domains and subdomains one after another, separated by commas. Example: “callsource.com, marketing.callsource.com.”
Taking control of your Cross Domain tracking ends inside your Google Analytics. Navigate to your Google Analytics, and within each website, you need to add referrals to all the others.
This sounds tedious. It is.
There are workarounds, but this is the manual approach.
The referral exclusion list is located in your administrative panel, under the property, and finally nested under Tracking Info.I feel for youif you have over a hundred websites, I really do. For most of us, there might only be one to twenty websites to add and keep track of.
Once you have added all of your websites here that could be sending traffic, you are done. You should be tracking multiple sites now and that traffic will not fall under referrals and will be associated across domains that you own.It’s a work of beauty.
3. Improve The Quality of Tracking Data with Custom Dimensions
I will summarize and interpret the information from his extensive post for you. Essentially, there are ways to log extra data into your google analytics that will be useful in adding depth and dimension that is unprecedented.
Custom Dimensions are fields that can exist in Google Analytics with values that you set, without requiring the API. Instead, we can use Google Analytics to run scripts and generate values from the information that is scraped off the cookie and page and inject it into the tracking code. These custom dimensions will then show up on your dashboard after a few days, and you can run reports on it.
The 4 Custom Dimensions that Simo refers to are:
You would want to know this to get more detailed session information out of your users. Do not go through the trouble of getting thisunless you plan on utilizing it. This leads us to the next Custom Dimension…
The Session ID is also based on the session metric but is randomized in the way Simo is using it. The values are grouped into sessions, but they blend together in the front end. The only way to identify if two distinct visits belong to the same session is to ungroup these sessions.
Unlike the two Custom Dimensions before it, this dimension is hit-scoped, meaning it will be based on logged in visitors. Simo points out that this is done for privacy reasons so that I would stick with a hit-scoped method. The hit scope does require users to be logged in when they are visiting to get these metrics. You may be able to get this information by switching to a session or user-scoped view, but that is a “grey area,” as Simo says.
This value is found in Google Analytics but is not passed into the reporting. The value represents the exact moment that a tracking code is fired. You can use this to verify databases but also to see discrepancies between collected times and reported times.
The final Custom Dimension is the User ID, from the Universal Analytics tracking that groups together the fires, sessions, and Client IDs. The reason you would add this is to tie everything you have done so far all together. The User ID matches a user to their session and timestamp by the Client ID. If you have a very complex network of web pages… these four methods allow you to merge them into a clearer picture. You should know that users arenot the most accurateto begin with, which is why robust solutions are created to clean it up.
If you receive an error message when your trying to connect your SugarCRM with Gmail: The server response was: 5.5.1 Authentication Required. This resolution is for those of you who have tried everything possible and still, SugarCRM will not send the email.
The server response was: 5.5.1 Authentication Required.
How to Fix:
Login into your gmail account which is connected to your SugarCRM account.
On April 21st Google made a massive change to it’s algorithm that could already be negatively impacting your site and business. Many are calling this change “MobileGeddon,” although it doesn’t have to be the end of the world for your website. From here forth all none mobile friendly sites will be severely downgraded.
I have the habit of being very meticulous when doing SEO. When developing, I am scrupulous about using header tags and syntax’s in thinking it will make the keyword even more powerful when being searched. While repeating this method, my fellow work mates noticed my odd habit of placing quotes around all my keywords. He asked, does placing quotes around keywords effects or harms SEO? I had to admit that I did not actually know so I was forced to do some research.
So here we go, does quoted text work?
It is accurate to say that most searchers do not place quotes around their search string when they go to a search in a search engine; however, there are those few whom actually do place quotes around a string. It is important to understand that when you do place quotes around your keywords you are telling most search engines to perform an exact match of the text that you placed in the quotes. So you are significantly limiting your search and many times that is exactly what you want to do.
But again, this is not the initial question. The ignition question is this. As I create a blog post, article, landing page, or website and I am creating a keywords bank for my work, does it matter if they are in quotes? Is the keyword phrase “managed IT services” any different than managed IT services for a key word?
After all of my search I find that For SEO, It does not matter. In other words, putting quotes around words are generally ignored by Google in matching your pages to search queries. Pages that match the exact search terms and in the exact word order entered by the searcher will beat out other pages, all other things (such as incoming links) being equal. So it is to your benefit to try to figure out not just what words your customers search for, but in what order.
Hope this helps all you do it yourselfers. And please do post comments here everyone:)