This allows you to evaluate product conversion, retention, and other parameters in the channel view. You can optimize advertising campaigns to better convert and retain customers.
A UTM label model is used for attributing traffic in Airgrow. Here are the best practices for creating labels:
|utm_source||Required field. Traffic source. Examples: google, facebook, twitter, domain.com.|
|utm_medium||Traffic type: cpc, cpa, social, organic, referral ...|
|utm_campaign||Campaign name for transmitting advertising campaigns.|
|utm_keyword||Keyword used for search, usually for Google Adwords advertising campaigns|
If UTM labels are transmitted in a URL they will be linked to the user. An example of transmitting a UTM label via URL from Google Adwords:
Here is an example of how this URL is inserted in an Adwords advertisement:
If a UTM label is not created via URL, Airgrow assigns a label depending on the "referrer" field. Possible UTM labels:
|google, baidu, bing, yandex, ...||organic||Organic SEO traffic from search engines|
|gmail, hotmail, ...||Traffic from an email client|
|facebook, twitter, instagram, ...||social||Click-throughs from social networks|
|whatsapp, viber, facebook, ..||messenger||Click-throughs from messengers|
|any-domain.com||referral||Click-through from a specified domain|
|direct||User entered the website manually in the URL bar or clicked on a bookmark|
You can create reports in the attributed traffic database. For example, the following report will show a breakdown of traffic by channel, with percentages of unique users:
You can also analyze which channel best converts traffic to registrations, subscriptions, or any other action.
An animation of this breakdown can help you efficiently discover problems with conversion from a particular channel.
A user may initially arrive at your website via Google, but remain undecided. Later they may return via a referral link. To what channel should they be assigned? You can decide this for yourself. Airgrow collects all labels up to the moment of user registration and allows you to create charts and analyze conversion from any UTM.
window.airgrow.utm("source", "medium", "campaign", "keyword")
You can also acquire a UTM label that was created for a given user. For example, to propose various conditions for users from various traffic channels:
var utms = window.airgrow.utms