Search filters

Filters are an important tool for getting a better understanding of how different groups of visitors behave on the site. Not all visitors are looking for the same things, and not all visitors react in the same way when presented with a web page. It is important to be able to understand the different groups of visitors that come to your site, so that you will be able to cater for their different needs, and maximize their use of the site. The ClickTale system offers a range of different filters providing you tools to better understand your visitors. Filters are available across the ClickTale system, allowing you to compare the different groups of visitors using Conversion Funnels, Recordings, Heatmaps and Form Analytics (Note: in Heatmaps and Form Analytics the usage of Filters is limited by the ClickTale Plan subscription). Below is a list of all the filters available in the Recordings search panel. In some cases you can choose more than one value to filter the visitors by. You can also combine a group of filters in your search (for example - visitors from a specific country, who viewed a specific number of pages, in a specific date range). The system is very flexible.

Visited Pages
Filter visitors based on the pages they did or did not visit.

For example, find visitors who:
 * Saw certain products, reached your checkout process, or purchased a product.
 * Visited pages 1, 2 and 3 of a 4 stage conversion funnel but did not reach the final page.

Entry Pages
Filter visitors who came to your site by landing on a certain entry page.

For example, find visitors who:
 * Landed on a specific landing page or promotional page.
 * Came to your site from an e-mail or marketing campaign.

Exit Pages
Filter visitors based on the last page they viewed.

For example, find visitors who:
 * Left during the checkout process.
 * Left after viewing a certain product page.

Page Count
Filter visitors based on the number of pages they visited.

For example, find visitors who:
 * Visited between five and 15 pages, and thus can be considered very engaged.
 * Bounced after seeing only one page.
 * Visit too many pages to be normal customers, and are probably bots.

Previous Pages
Filter visitors based on the various sources they came from, whether internal or external.

For example, find visitors who:
 * Came from a Google Adwords or AdSense campaign
 * Came from specific pages in the domain

Original Referrers
Filter visitors based on the web page they came from when they were first recorded by ClickTale.

For example, find visitors who came from www.google.co.uk or www.facebook.com/ Each visitor receives a single referrer; however, that referrer could change over the course of your recording history. For example, a first time visitor who arrived to your site through a search engine will have that specific search engine as a referrer. Yet, once their recording history had passed, the specific recording of this visitor’s first arrival may be deleted. Unless they had entered again from an external webpage, this visitor will not have a referrer.

New/Returning
Filter your visitors based on whether they are new to your site, or coming back for a return visit.

For example, find visitors who: note: Combining this filter with the "All Time" date range will show no data as visitor activity is not monitored prior to the ClickTale implementation. The visitors are marked as returning if they have visited the site prior to the date range selected.
 * Arrived to your website for the first time.
 * Arrived to your website after a previous visit(s).

Events
Filter visitors based on their specific Events.

''See Searching for users tagged with an Event

Fold Height
Filter your visitors according to their average fold heights. For example, find visitors according to:
 * The smallest and largest page fold height.
 * The most common page fold height.

Mouse Clicks
Filter your visitors according to the amount of mouse clicks on a specific web page. For example, find visitors who:
 * Click on specific web pages most.

Mouse Moves
Filter your visitors according to their percentage of mouse moves on your webpages. For example, find visitors who:
 * Moved their mouse the least on your webpages.
 * Moved their mouse the most on your webpages.

Scrolling Distance
Filter your visitors according to how far down on the page they scroll. Learn what encourages your visitors to go beyond the fold.

For example, find visitors who:
 * Scrolled down your web pages the most.
 * Scrolled down your web pages the least.

Engagement Time
Filter visitors based on their Engagement Time on your site.

For example, find visitors who…
 * Spent less then 5 seconds on your website
 * Only visited one page, but spent a few minutes reading the content.

Countries
Filter your visitors based on the country they browse from.

For example, find visitors who:
 * Only browse from Europe
 * Only browse from USA

Determine what your website's usability rate is, worldwide.

Languages
Filter your visitors according to the language they speak.

For example, find visitors who:
 * Are only English speakers
 * Are only French speakers

See how your form fields perform among your non-native speakers.

Browsers
Filter your visitors based on the different browsers they use.

For example, find visitors who:
 * Use Internet Explorer
 * Use Mozilla FireFox

Screen Sizes
Filter visitors based on their screen sizes.

For example, find visitors who:
 * Have large screen sizes
 * Have small screen sizes

Learn where your fold line lies for different screen sized visitors.

Visitor IDs
Filter visitors according to their visitor IDs. The visitor ID is the first part in the value of the WRUID cookie. You can type or paste up to 5000 IDs into the filter box.

This is especially useful if you have a 3rd-party analytics tool (like Google Analytics or Adobe SiteCatalyst) integrated with ClickTale. Paste the visitor IDs from the 3rd-party tool into the search box and you will get recordings for those visitors.

Introduction
Bounce rate represents the percentage of visitors who enter your site and ‘bounce’ right out (rather than continue viewing other pages). A bounce, thus, occurs when a web site visitor only views a single page on a site. Bounce rate has been regarded as an extremely effective yet simple qualifying metric - it requires very little analysis yet yields highly valuable information. In essence, bounce rate can help determine the effectiveness or performance of an entry page. Depending on the type of site, typically the higher the bounce rate the less effective the landing experience. By the same token, bounce rate can also help determine the quality of your traffic. High bounce rate coupled with large volumes of single source traffic could indicate poor referrals.

But are all ‘bouncer’s a like or could your site’s deserters be comprised of different profiles?

The ClickTale Bounce Rate
ClickTale set out to differentiate between types of bouncers and pushed the bounce rate metric a step further. Based on visitors’ actual Engagement Time, ClickTale broke down the bounce rate into three classes - soft, medium and hard. By doing so, bounce rate is no longer just a qualifying metric it is an actionable one; these three types can shed light on desertion trends while the visitors’ recordings take the guess work out of understanding the motivation behind it. ClickTale’s Bounce Rate filter, consequently, allows for differentiation among users who may have different goals and patterns of behavior.

It is important to remember that there is no definitive desired value to bounce rates. The value of the bounce depends on the site’s goals, its information or the service it provides. In some cases such as blogs, a high bounce rate could indicate returning visitors who are solely interested in reading the latest post.

How is ClickTale's Bounce Rate different from other analytics tools?
Clicktale calculates the bounce rate at the visitor level. We are checking the entire visitor's history and count only visitors, who saw a single page on the site, did not engage and left. This means that, a visitor who entered your site more than once, will not be considered as a bouncer, even if this visitor spent only 2 seconds on the site each time. '''If a visitor’s next page does not have the ClickTale code they will be considered as bounced. For best practice and most accurate results, install the ClickTale code across your entire site.'''

Other analytics tools are calculating bounce rate at the visit level. This means that a certain visitor may spend quite some time on your site on Sunday, but visited a single page with no activity on Monday. The visit on Monday is counted as a bouncing visit. Clicktale, on the other hand, will not count this visitor as a bounce.

Let's clarify this last point with a simple example: The site has 2 pages (A and B), and only 3 visitors (Paul, John and George).

Paul visited the site with the following pageviews order:


 * Monday: Page A -> Page B -> exit
 * Tuesday: Page B -> Page A -> exit
 * Wednesday: Page A -> exit

John visited the site with the following pageviews order:


 * Tuesday: Page B -> exit

George visited the site with the following pageviews order:


 * Monday: Page A -> exit
 * Tuesday: Page B -> exit

Out of the 3 visitors, only John is considered a bouncing visitor, since George and Paul had visited more multiple pages on the site.

Bounce Rate for page A = 0% (0/3 visitors bounced)

Bounce Rate for page B = 33% (1/3 visitors bounced on this page)

In other analytics tools, such as Google Analytics, the bounce rate will be as follows:

Bounce Rate for page A = 66% (2 out of 3 sessions bounced)

Bounce Rate for page B = 66% (2 out of 3 sessions bounced)

Hard Bounce
Hard Bounce visitors are defined as visitors who viewed a single page (within your defined search dates) of your site and had an Engagement Time of less than 4 seconds. Hard Bounce visitors are usually visitors who arrived at your site by mistake expecting completely different content than what they had received. These visitors immediately bounce and are highly unlikely to intentionally return.

Medium Bounce
Medium Bounce visitors are defined as visitors who viewed a single page of your site (within your defined search dates) and had an Engagement Time of 4-10 and seconds. Medium Bounce visitors could very well be visitors who were looking for specific content which they did not automatically find on the page they landed. Perhaps changing the landing page or its content may increase their Engagement Time in the future.

Soft Bounce
Soft Bounce visitors are defined as visitors who viewed a single page of your site (within your defined search dates) and had an Engagement Time of more than 10 seconds. Soft Bounce visitors are likely to be visitors who intended to reach your site. They spent some time reading the content and were actively engaged (moved their mouse). These visitors are probably interested in what your site offers, and may be targeted so that next time they do not bounce but engage even further.

Suspected Bots
Filter visitor recordings to view only visitors the system suspects are bots generating automatic traffic to your site rather than real human visitors. The system identifies suspected bots as recordings of visitors who viewed a single page (within your defined search dates) without exhibiting mouse clicks, mouse moves and their Engagement Time was 0.

Traffic Source Filters
Traffic Source refers to the pages that led visitors to your site. Visitors can arrive at your site from a variety of different sources: Direct– Visitors type the site URL directly into their browser taskbar. PPC/SEM - Visitors click on an advertisement linked to the site. SEO/Keyword Search – Visitors search for a specific site or keyword in a search engine and arrive to the site through the search results. And many more varied traffic sources. Analyzing and learning about the different traffic sources of your own visitors can give you valuable knowledge about your site performance and usability. The Traffic Source filters are captured through information that exists in the referrer URL, the destination URL, and also take into account the date of the visit. A visitor may have multiple entries to a site (for example in various sessions). The entry that will be captured is the first source to your site within the defined date range.

Traffic Source
Traffic source filter provides a list of domains from which your visitors arrived to your site. Each visitor may reach your site through multiple sources throughout their recording history, however the visitor traffic source represents your visitors’ first source within the specified date range. Most often, the Traffic Source is the domain of the Referrer site, listed with the country extension but without www. However, if the page URL includes a specified Source (using parameters such as UTM_Source) the Traffic Source will be extracted from the URL. If there is no indication of a Referral URL – the Traffic Source is ‘Direct’. Internal traffic, where the referrer URL includes the same main domain as the following pageview, is not considered a traffic source.

Marketing Channel
The Marketing Channel filter provides a grouping of the Traffic Sources based on the marketing channel the traffic came from. This is an important filter when trying to establish the nature of the traffic delivered to the site by the various marketing channels used. The parameters of the Marketing Channel filter as defined in the ClickTale system are: Organic Search - Traffic coming from one of the predefined Search Engines, that is not considered ‘paid traffic’. The predefined search engines include: Google, Yahoo, Bing, Ask, Baidu, and AOL. Paid Search - Traffic coming from a Google search engine including “paid search” parameters (e.g. GCLid or ACLK). Unknown - Traffic that includes invalid information in the Referrer site URL. This can happen when a user purposefully blocks their referrer data, or sometimes when sites do not use standard URL conventions. None - Traffic that does not include any Referrer site information, or any parameter indicating the referrer site in the URL itself. This usually indicates direct traffic to the site. Referral - Traffic that includes Referrer information, but does not qualify as one of the other sources as defined above (Organic Search, Paid Search or Internal). Note: If the page URL includes a specified Medium (using parameters such as UTM_Medium), the Marketing Channel will be extracted from the URL.

Search Keywords
The Search Keywords filter provides a list of the Keywords used in searches that led visitors to your site. If the Referrer URL includes one of the main search engines defined in the ClickTale system (Google, Yahoo, Bing, Ask, Baidu, AOL), the search keyword/s used are extracted from the referrer URL. If the page URL includes a specified search keyword (using parameters such as UTM_Term), the Keywords will be extracted from the URL. All Search keywords are listed together in this filter, whether they were included in a Paid Search or an Organic Search. To limit the search to Keywords used in only one type of search, combine the Search Keywords filter with the Marketing Channel filter.

Important note - When keywords are unavailable
On October 18 2011, Google announced that it was making its search more secure by providing SSL-encrypted search results for all signed-in users. When an encrypted search is performed, the keywords of this search are not made available and receive a “[Not Provided]” value within the search keywords filter dialog. Recently, more users are automatically directed to the Google secure search page, for example: All users of Firefox 14 and above, using the built-in search box All users of Apple Safari on iOS 6, using the built-in search box This issue affects all analytics tools and SEO providers. The percentage of searches affected has been rising throughout 2012 and is around 40% on average, towards the end of 2012. In ClickTale you will see the "Search Keywords" filter dialogue displaying a portion of the keywords with a “Not Provided” field.

UPDATE - In September 2013, Google has announced that it was moving 100% of search queries from unencrypted to Secure Search. That means that no keywords will be available to external tools, making keyword-based analytics all but extinct. Current [Not Provided] average is around 80% and is projected to reach 100% towards the end of November 2013 (Source: http://www.notprovidedcount.com/).