There are only two ways to increase Earnings per Click (EPC), including (1) Increase Payout/CPA or (2) Increase Conversion Rate. By leveraging the functionality in the Conversion Rate dashboard, you can arm yourself with the other option to increasing EPC -- Conversion Rate. Read how to Configure LimeLight Advanced Tracking so you can take advantage of the Conversion Rate dashboard.
Use the Conversion Rate dashboard to:
- Monitor page performance.
- Make changes (A/B or multi-variant testing) to see how it impacts conversion rate.
Data Elements & Measures
The following data elements and measures are shown on the Conversion Rate dashboard. For comprehensive definitions of data elements and measures, please reference the Glossary of Measures.
|Data Element / Measure||Definition|
|Conversion %||Orders ÷ Sessions|
|Sessions||Group of interactions one user takes within a given time frame on your website. Google Analytics defaults that time frame to 30 minutes. Meaning whatever a user does on your website (e.g. browses pages, downloads resources, purchases products) before they leave equals one session.|
|Bounce %||A bounce is a single-page session on your site. In Analytics, a bounce is calculated specifically as a session that triggers only a single request to the Analytics server, such as when a user opens a single page on your site and then exits without triggering any other requests to the Analytics server during that session.|
|Gross Revenue||Total revenue generated by sales. Refunds, discounts, and expenses are not deducted from Gross Revenue|
|Orders||Total number of approved transactions|
|AOV||Average Order Value -- Revenue ÷ Order #|
|Campaign ID||ID created when configuring a campaign|
|eCPA||Effective Cost per Acquisition is calculated by dividing the total amount paid to acquire customers by the total number of customers acquired|
|CPA||Cost per Acquisition|
|Earnings per Click||Revenue paid to traffic partner ÷ number of clicks/visits the traffic partner sent to a site/page|
You may find the following Help Center articles relevant to Analytics helpful.