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Email Campaign Comparison

Learn more about campaign comparison analytics that are available within Bluecore’s enhanced analytics.

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Email Campaign Comparison overview

The email Campaign Comparison report compares your email campaigns’ top-level metrics over two specified time frames. Leverage this report to understand performance trends for specific campaigns or your email campaign portfolio as a whole.

Note: The email Campaign Comparison report shares a name with the Site Campaign Comparison report. For information on the Site report, see Site Campaign Comparison.

Global Campaign Comparison

If you use more than one Namespace, the Global Campaign Comparison report consolidates all Namespaces in one view.

View Campaign Comparison

To access the Campaign Comparison report , navigate to Analytics and in the Campaign Analytics section, click Enhanced. The page defaults to Email Report Card. Click Campaign Comparison.

To access the Global Campaign Comparison report, navigate to Analytics and in the Campaign Analytics section, click Enhanced. The page defaults to Email Report Card. Click Global Campaign Comparison.

Filters

The following filters are available to refine the data:

  • Subaccount

    • The Namespace.

    • Only available in the Global Campaign Comparison report.

  • Current Period Filter

    • The first time period used in the comparison.

  • Comparison: Date Value

    • Sets the comparison's lookback time frame.

  • Comparison: Date Unit

    • Sets the comparison time period unit. Can select Day(s), Week(s), Month(s), Quarter(s), or Year(s).

Note: Quarters are mapped based on standard calendar quarters where January through March is Q1, April through June is Q2, July through September is Q3, and October through December is Q4.

  • Campaign Name

    • The name of the campaign.

  • Campaign Classification

    • Select from promotional, triggered, transactional, and undefined (audience exports) campaigns.

Adding a comparison filter

The Current Period Filter sets a time period for the initial comparison, and the two Comparison filters are used in tandem to set the second time period.

The following examples demonstrate how to set up the filters for specific use cases, and you can apply the same principles to compare other time periods.

Compare the last full week to the previous week. For example, if you ran this on Thursday, August 29, compare Monday, August 19 through August 25, 2024 to August 19 through August 25, 2023.

  • Current Period Filter: is previous week

  • Comparison: Date Value: 1

  • Comparison: Date Unit: Week(s)

Compare the last month, to six months before. For example, compare July 2024 to January 2023.

  • Current Period Filter: is in the month July 2024

  • Comparison: Date Value: 6

  • Comparison: Date Unit: Month(s)

Compare the last seven days to the same timeframe last year. For example, if you added this filter on August 29, compare August 23 through August 29, 2024 to August 23 through August 29, 2023.

  • Current Period Filter: is in the last 7 days

  • Comparison: Date Value: 1

  • Comparison: Date Unit: Year(s)

Compare the previous quarter to the same quarter last year. For example, if you ran this in Q3 2024, compare Q2 2024 to Q2 2023.

  • Current Period Filter: is previous quarter

  • Comparison: Date Value: 4

  • Comparison: Date Unit: Quarter(s)

Note: If the comparison date does have any data, only the Current Period Filter date is displayed.

Campaign Comparison definitions

Field Name

Definition

Campaign Name

The name of the campaign.

Total Conversions

The aggregate number of times a link is clicked and a customer makes a purchase within the attribution window.

Delivered

The aggregate number of emails successfully delivered to the customer’s inbox.

Total Attributed Revenue

The aggregate revenue attributed to an email campaign after a customer clicks on an email campaign and makes a purchase within the attribution window.

RPE

The revenue per email.

RPE = Revenue / Delivered

Total Click-to-Conversion Rate

Total click-to-conversion rate = Total clicks / Total conversions

Total CTOR

The total click-through open rate.

Unique CTOR = Unique clicks / Unique opens

Total CTR

The total click-through rate.

Total CTR = Total clicks / Delivered

Total Open Rate

Total open rate = Total opens / Delivered

Unique Click-to-Conversion Rate

Unique click-to-conversion rate = Unique clicks / Unique conversions

Unique CTOR

The unique click-through open rate.

Unique CTOR = Unique clicks / Unique opens

Unique CTR

The unique click-through rate.

Unique CTR = Unique clicks / Delivered

Unique Open Rate

Unique open rate = Unique opens / Delivered

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