Note: This article contains references to Advanced Web Ranking Desktop, a version that is no longer under active development. 

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I have talked in a previous post about custom reports in Advanced Web Ranking and, as I promised, I’m back with details on how to define custom filters.

So let’s get started!

As I said back then, Advanced Web Ranking is a software that allows you to process the data it gathers just the way you like it. But if you thought I was kidding, I can assure you that are about to change your mind.

Although Advanced Web Ranking comes with a list of default filters, you can also set your own rules to be followed when putting data into your reports.

Why would you need custom filters?

The point of rank tracking is to get some actionable data, to get some insights, right? Unless the data your customers receive, gives them answers to some questions, it is useless.

And what insights could your customers possibly get from endless reports with tons of keywords and numbers? The better this data is structured and focused on the important things, the easier your clients will understand what goes on with their rankings, what went wrong and what is to be done next.

Therefore you need to extract from the entire pile of rankings and keywords, the information that points out the important changes. No one knows better than you what information you need to know and what questions you need to get answered. And the only way you could have that is to set up custom reports with custom filters.

Where to go for a custom filter?

The main way of accessing this option is through the Settings -> Printable and Interactive Reports ->Filter Manager menu. There you will find, as the first option from the list “New filter”. It will open a new window for setting the new custom filter.

You can also create a new custom filter while in any interactive report, using the [Filters] dropdown and by selecting the [Define] option. You will be able to further edit the filters you thus create, from the Filter Manager.

Other things you need to know…

Filters are working based on a set of conditions. To define these conditions we are using:

  • the usual comparison operators (less or equal than, greater or equal than, equals with, differs from)
  • some specific comparison operators (moved up, moved down, changed, ranked),
  • logical operators (NOT, AND, OR)

To define a filter you must set:

  • The conditions
  • The data from you report you wish to filter by (position, previous, change, page, best, page rank, alexa rank, priority)
  • A value to compare to (a positive integer value from 1 – 1,000,000,000)

Let’s see how amazing custom filters are:

1. Let’s suppose you want to highlight only those pages that have suffered major droppings in rankings.
You can create a filter to select these pages that have dropped more than, let’s say five positions, in the search engine results.
So, here’s how: You are interested in those webpages that have their rankings changed with more than 5 positions (change >= 5 ) not up, but down (position -> moved down).

Or maybe you are not interested in all ranking droppings but just the most important ones. You can add one more filter to select only the webpages that have dropped but have a PR higher than 4.

2. Or maybe you would like to focus on the pages and keywords that have lower rankings and search for new ways of improvement. For this, you can filter only those pages that rank further than the first page of search results.

3. Now let’s think how could you keep track of your best performing keywords. For the keywords you have or ever had first page rankings, you certainly need to pay a special attention to and you must spot all the changes.

These are just a few examples to show you how useful custom filters can be. But with a little creativity you can build tons of filters to use and to impress your clients. The sky is the limit!

In fact, please give me a hand and share with us your own ideas and tips related to customizing data and reports. It would be awesome!

And if you found this helpful and enjoyed the lecture, you can stay tuned for more by following us on Twitter or joining us on Facebook.

Photo credit: Akash k

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