In many cases, you’ll have the option to use events, screen views, and/or a custom metric to track your most important metrics. However, custom metrics can produce more flexible and more readable custom reports and as such are a convenient way to track your most important metrics
By default, the channel labels that you see in Multi-Channel Funnels reports (Paid Search, Organic Search, Social Network, etc.) are defined as part of the MCF Channel Grouping. If you have specific analysis requirements, you may wish to create your own Custom Channel Grouping(s), each with its own set of labels. When you share a Custom Channel Grouping, only the configuration information is shared. Your data remains private. The following channel labels are defined as part of the MCF Channel Grouping and are the labels used by default in your reports. The channel definitions are not case sensitive.
There are only 3 default medium in Google Analytics i.e Organic, Referral and None. Google Analytics detects three mediums without any customization.
Sessions and Bounce Rate come under metrics. That’s why “Sessions / Bounce rate” is not a valid metric-dimension combination.
The User ID enables the association of one or more sessions (and any activity within those sessions) with a unique and persistent ID that you send to Analytics. To implement the User ID, you must be able to generate your own unique IDs, consistently assign IDs to users, and include these IDs wherever you send data to Analytics. For example, you could send the unique IDs generated by your own authentication system to Analytics as values for the User ID. Any engagement, like link clicks and page or screen navigation, that happen while a unique ID is assigned can be sent and connected in Analytics via the User ID.
User-level scope allows you to conveniently group all of a user’s component sessions and hits by a single value. It is ideal for values that don’t change often for a particular use.
Data Import lets you join the data generated by your offline business systems with the online data collected by Analytics. This can help you organize, analyze and act upon this unified data view in ways that are better aligned with your specific and unique business needs. For example, as a web publisher, you could join hits collected by Analytics with data dimensions exported from your CMS and CRM systems to analyze the relative contributions of authors to your site.
If conversion rates are lower than average for particular browsers or platforms, browse the site with those browsers and platforms. Pay particularly close attention to landing pages, checkout forms and any pages that users must navigate in order to convert. Correct any usability issues you find with these pages.
Analytics tracking code send an event hit to Google Analytics whenever a user performs an action with event tracking implemented.
Assist interaction is any interaction that is on the conversion path but is not the last interaction. If a channel appears anywhere—except as the final interaction—on a conversion path, it is considered an assist for that conversion. The higher these numbers, the more important the assist role of the channel.
In the Multi-Channel Funnel Reports, all the channels are credited according to the roles they play in conversions—how often they assisted and/or completed sales and conversions.
Smart Goals are configured at the view level. Smart Goals uses machine learning to examine dozens of signals about your website sessions to determine which of those are most likely to result in a conversion.
When you create a Custom Channel Grouping at the user level or create a new Channel Grouping in a view, you:
A pageview is defined as a view of a page on your site that is being tracked by the Analytics tracking code. If a user clicks reload after reaching the page, this is counted as an additional pageview. If a user navigates to a different page and then returns to the original page, a second pageview is recorded as well.
Similar to custom dimensions, custom metrics can have different scopes. Hit-level custom metrics get associated with all the hit level dimensions with which it was sent. Similarly, product-level custom metrics are associated only with the product with which it was sent. The following examples illustrate these two types of custom metrics.
: Auto-tagging is the recommended approach and ensures that you get the most detailed AdWords data.
Events are user interactions with content that can be tracked independently from a web page or a screen load. Downloads, mobile ad clicks, gadgets, Flash elements, AJAX embedded elements, and video plays are all examples of actions you might want to track as Events.
Secondary dimension actually let you analyze the report more specifically.
some Analytics features fundamentally alter how data is collected or processed in your account in ways that cannot be reversed, you should duplicate the original view before making changes.
To make the Demographics and Interests data available in Analytics, you need to update Analytics to support Advertising Reporting Features and enable the Demographics and Interests reports. When you enable Advertising Reporting Features, you allow Analytics to collect additional information from the DoubleClick cookie (web activity) and from Device Advertising IDs (app activity).
Pairing metrics and dimensions of different scopes is not possible in any report.
Custom dimensions can appear as primary dimensions in Custom Reports. You can also use them as Segments and secondary dimensions in standard reports.
By adding campaign parameters to your URLs, you can identify the campaigns that send traffic to your site. When a user clicks a referral link, these parameters are sent to Analytics, so you can see the effectiveness of each campaign in your reports. Google Adwords gives you an option to track campaign using auto-tagging.
The URL Builder has six fields, but you generally need to use only Campaign Source, Campaign Medium, and Campaign Name.
Site Search lets you understand the extent to which users took advantage of your site’s search function, which search terms they entered, and how effectively the search results created deeper engagement with your site.
