Dimension
Description
Example
Site
Site key. Your site key is the attribute taken from the script tag located on the head of your page
data-sitekey="browsi"Here, your "Site" is browsi.
URL
Specific urls of the Browsi integrated site.
Query Param
Query parameters are a defined set of parameters attached to the end of a url.
Device Type
Desktop, Tablet or Mobile.
Layout
Name of the layout that targets your audience.
To navigate to your layouts go to Inventory Manager > Layouts Manager(Layouts report available starting Jan. 14th).
To navigate to your layouts go to Inventory Manager > Layouts Manager(Layouts report available starting Jan. 14th).
Position Type
Type of ad position type to identify the type of ad that has been served and where.
Position Types:
Position Types:
- Top
- Bottom
- Rail | Right
- Rail | Left
- Adhesive (Sticky)
- Inline
Traffic Source
Direct: Visitors that visit your site by typing your URL into their browser, or through an undefined channel.
Search: Visitors that discover your website by searching a keyword in a search engine (Google, Bing, Yahoo) and that click on your listing.
Social: Traffic sent from social media sites such as Facebook or Twitter.
Search: Visitors that discover your website by searching a keyword in a search engine (Google, Bing, Yahoo) and that click on your listing.
Social: Traffic sent from social media sites such as Facebook or Twitter.
Benchmark Traffic
Percentage of traffic where Browsi is not running ads on the page. This helps us understand and measure user engagement the page.
Demand Type
Type of demand that has been served on a page. ex: header bidding, google ad manager (gam), amazon dsp.
Ad Unit
Ad units are the first component of your DFP inventory. They define the size of an ad and the specific location where an ad would appear on a page.
Viewability Prediction
Number representing a percentage for viewability prediction rate that the engine targets to place ads. ie: 0.7 represents 70%. Here the engine will find a predictive placement that has a viewability prediction of 70% and above. When this placement is found and the engine ran its algorithm it will serve the ad accordingly to the user engagement on the page.
Bidder Name (for Header Bidding)
Bidder name of the demand ad placed on the page.