Benchmark Email

Estimated reading time: 6 min

In this article, you’ll find the answers to the following questions:

Creating an Integration

From your Slemma account, head over to the Library page and click the plus button at the bottom right. Select Integration from the submenu.

In the following page, you can find Benchmark Email with one of the following ways:

  1. Scroll down and select Benchmark Email from the list of Integrations.
  2. Use search to find Benchmark Email from the list of Integrations.
  3. Choose Benchmark Email using All dropdown list > Marketing.

You’ll see the Integration settings dialog window. You can select the frequency for the automatic updates on the DATA REFRESH tab, or set weeks settings on the ADVANCED tab.

To complete a setup, here you need to insert the API Key. Follow the Benchmark documentation to find your API Key. Copy it and past to the Integration settings window. Click OK.

After that, the integration will be created and it will appear in your account in the list of objects. Now you are able to share the integration with either individuals or the entire Team, rename or remove the integration. To view the options available for the integration, right click it in the list.

Creating a Dataset

A dataset is a collection of data in a tabular format that is created on one of the possible data sources. The datasets can be used to create dashboards or individual charts.

To create a dataset, click your Benchmark Email integration in the list and select Browse datasets. From the following page, select which data you want to add to use in your charts.

NOTE: Cloud Service Integrations have prebuilt datasets that are not editable.

Click dataset’s name for a description of each dataset.

This data source contains information about your surveys such as answers and question type.

Dimensions

  1. Survey Name – The name of the survey
  2. Title – The title for the survey
  3. Question – The question for this survey
  4. Status – The current state of a survey
  5. Live Date – Date a survey was running
  6. Created At – Date the survey was created
  7. Question Type – The type of question
  8. Input Comment – “Yes”, If provide area for comments
  9. Possible Answers – Possible answers for each question
  10. Is required – “Yes”, if the respondent is required to answer this question
  11. Url – Url Survey

Measures

  1. Responses Count – The number of responses for each possible answer
  2. Number of Records – Number of Records

Templates

Instead of starting from scratch when building a chart, you can use a pre-built visualization. Simply click one of the templates from the list and it will be added to the dashboard filled with your data. You can then edit and customize this template like a usual chart created by you.

The following templates available for this dataset:

  • Survey. Number of Responses by Possible Answers – View a bar chart showing the total number of responses by questions and possible answers for the survey of your choice. By default the first survey is selected.

This data source contains statistics about your polls such as poll status and response count.

Dimensions

  1. Poll Name – The name of the poll
  2. Question – The question for this poll
  3. Status – The status of the poll
  4. Created At – Date the poll was created
  5. Possible Answers – Possible answers for this question

Measures

  1. Responses Count – The number of responses for each possible answer
  2. Number of Records – Number of Records

Templates

Instead of starting from scratch when building a chart, you can use a pre-built visualization. Simply click one of the templates from the list and it will be added to the dashboard filled with your data. You can then edit and customize this template like a usual chart created by you.

The following templates available for this dataset:

  • Polls. Number of Responses by Possible Answers – View a bar chart showing the total number of responses by possible answers for the poll of your choice. By default the first poll is selected.

This data source contains information about open messages of the recipients segmented by geography.

Dimensions

  1. Campaign Name – The name of the campaign
  2. Subject – The subject for the campaign
  3. From Name – The ‘from’ name on the campaign (not an email address)
  4. List Name – The name of the list
  5. Status – The current state of a campaign delivery
  6. Send Date – Date a campaign was sent
  7. Created At – Date the campaign was created
  8. Country – The opens of the recipients segmented by geography

Measures

  1. Opens Count – The number of opens for a campaign
  2. Number of Records – Number of Records

Templates

Instead of starting from scratch when building a chart, you can use a pre-built visualization. Simply click one of the templates from the list and it will be added to the dashboard filled with your data. You can then edit and customize this template like a usual chart created by you.

The following templates available for this dataset:

  • Number of Opens by Country (last 30 days) – Track the number of opens from different countries for your campaigns sent over the last 30 days.

This data source contains daily statistics about your campaigns, opens count, clicks count and etc.

Dimensions

  1. Campaign Name – The name of the campaign
  2. Subject – The subject for the campaign
  3. From Name – The ‘from’ name on the campaign (not an email address)
  4. List Name – The name of the list
  5. Status – The current state of a campaign delivery
  6. Send Date – Date a campaign was sent
  7. Created At – Date the campaign was created
  8. Date – The statistic date

Measures

  1. Hard Bounces Count – The total number of hard bounced email addresses
  2. Opens Count – The number of opens for a campaign
  3. Soft Bounces Count – The total number of soft bounced email addresses
  4. Forwards Count – How many times the campaign has been forwarded
  5. Unsubscribes Count – The total number of unsubscribed members for this campaign
  6. Unopens Count – The number of unopens for this campaign
  7. Click Emails – The number of the receipients clicking on URLs for a campaign
  8. Number of Records – Number of Records

Templates

Instead of starting from scratch when building a chart, you can use a pre-built visualization. Simply click one of the templates from the list and it will be added to the dashboard filled with your data. You can then edit and customize this template like a usual chart created by you.

The following templates available for this dataset:

  • Statistic of Campaigns over the last 30 days – View the engagement of an automation series and see how it trends in a given time period.

This data source contains statistics about your campaigns, opens count, clicks count and etc.

Dimensions

  1. Campaign Name – The name of the campaign
  2. Subject – The subject for the campaign
  3. From Name – The ‘from’ name on the campaign (not an email address)
  4. List Name – The name of the list
  5. Status – The current state of a campaign delivery
  6. Send Date – Date a campaign was sent
  7. Created At – Date the campaign was created

Measures

  1. Emails Sent – The total number of emails sent for this campaign
  2. Opens Count – The number of opens for a campaign
  3. Clicks Count – The number of clicks for a campaign
  4. Bounces Count – The total number of bounced email addresses
  5. Forwards Count – How many times the campaign has been forwarded
  6. Unsubscribes Count – The total number of unsubscribed members for this campaign
  7. Abuse Reports – The number of abuse reports generated for this campaign
  8. Campaigns Count – Campaigns Count

Templates

Instead of starting from scratch when building a chart, you can use a pre-built visualization. Simply click one of the templates from the list and it will be added to the dashboard filled with your data. You can then edit and customize this template like a usual chart created by you.

The following templates available for this dataset:

  • Automation Engagement (last 30 days) – View opens, clicks, and forwards for the campaigns in your account sent over the last 30 days.
  • Campaign Engagement (last 30 days) – View open, click, and reply rates for the campaigns sent over the last 30 days.
  • Unsubscribe Rate (last 30 days) – View the unsubscribe rate for all your campaigns sent over the last 30 days.

Creating a Chart

Click a dataset or integration and select Create dashboard/Create chart/Create presentation to start building a chart (please note that presentations are available starting from the Standard Plan).

From the next page, you can choose to create your own chart from scratch, or you can apply one of the templates we created.

  • If you choose to build a new chart from scratch (“Blank” option), the Chart designer will open. Go here to learn how to create a chart in the Chart editor.
  • If you choose a template, a new chart will be added to a dashboard/saved chart/presentation (depending on the way you start the chart creation).
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