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The following definitions are essential to understand the effectiveness of your sales site

Date Range

The date range entered is the order date. It is not the date the transaction was processed. The true value of a page on a particular date requires all the activity on that order be attributed to the date the order was created. Consider the following scenarios:

  • A consumer submits your Lead page at 11:57pm day 1, then proceeds to a Checkout page, and finally submits the Checkout page at 12:02am day 2. The order is attributed to the pages on day 1. Your bank probably attributes that sale to day 2.

  • A consumer submits your Lead page at 11:45pm, then proceeds to a Checkout page, submits the Checkout page at 11:52pm, then proceeds to an Upsell page, and finally submits the Upsell page at 12:02am. The entire order is attributed to the date the lead was submitted.

  • An order is submitted on Nov 12. The order is refunded on Dec 5. The refund is subtracted from order values on Nov 12.

This may be in conflict with the dashboard and reports in the CRM platform. Most values on the CRM dashboard are by Transaction Created Date. The Transaction Summary and Detail reports should be filtered by Order Created Date to get the most accurate comparison.

Visits

The number of unique visits.

For a sales funnel this is the number of unique visits (sessions) on your site. This will not include any visits that submitted an order with a test card.

For a page this is the number of unique visits (sessions) to that individual page. This will not include any visits that submitted an order with a test card. This will count once per session (it does not count a browser refresh).

Funnel and Page visits will not be equal for multiple reasons.

  • A consumer does not visit all pages during a visit to the sales funnel

  • If a consumer lands on your site and visits 3 pages, that will be 1 funnel visit and 3 page visits.

  • If you delete a page then that page no longer shows Visits. But the sales funnel still shows the Visit.

Submits

For most pages this is the number of Visits that submitted the page and moved to the next page.

For Checkout pages this is the total of new complete orders (sales) from that page. Test orders are not included.

For Lead pages this is a combination of leads captured and submitted. Leads are captured as the consumer types. The conversion rate can be higher than expected due to this.

For Upsell pages this is the number of upsells successfully purchased. A consumer that moves to the next page by pressing a No Thanks button is not counted. A consumer whose transaction declines is not counted.

A Thank You page cannot be submitted. The number of Submits on Thank You pages always matches the Visits.

Conversion Rate

Submits divided by Visits

Average Order Value (AOV)

Gross Revenue divided by number of New Sales

For a sales funnel this is the average value of every new order in a date range

For a page this is the average value of every new order in a date range that visited this page. If a sale occurred on your site then every page visited by the consumer during that sale is given the value of the sale. Upsell pages are handled a little differently as the content of an upsell page does not necessarily affect the success of another upsell page. AOV for an upsell page is the value of the individual upsell page only. Consider the following scenario: a consumer visits a lead page, then proceeds to a checkout page, then makes a purchase, then buys an upsell, and then finishes on a thank you page. AOV for the lead, checkout, and thank you page is the total value of the order. AOV for the upsell page is the upsell product only.

Lifetime Value (LTV)

Net Revenue = Gross Revenue - Refunds - Expenses - Chargebacks

For a sales funnel this is the Net Revenue from all new and rebill orders in a date range

For a page this is the Net Revenue from all orders in a date range that visited this page, including all subsequent rebills. The AOV notes about upsell pages apply here too.

Customer Lifetime Value (CLTV)

Lifetime Value divided by number of unique customers in a date range

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