Measuring Email Campaign Performance with Mailchimp and Salesforce CRM Data Using Bold BI

Campaigns play a vital role in promoting a product to customers. Marketing campaigns are not limited to only advertisement. They can be in many forms, such as promotional emails and partnership programs. To monitor campaign performance, you need to have the performance metric defined with benchmarks and targets. This article will walk you through the steps to measure an email campaign’s performance through connecting your Mailchimp and Salesforce CRM data with the Bold BI Dashboards.

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What is Mailchimp?

Mailchimp is a marketing platform for growing businesses. It lets you create sophisticated campaigns and gather insights on your successful ones for your next move. Mailchimp gives you the tools to create emails, Facebook ads, Instagram ads, landing pages, Google remarketing ads, signup forms, postcards and to automate your work. Mailchimp also works with e-commerce solutions and web services.

What is Salesforce?

Salesforce is a customer relationship management (CRM) platform. It offers individual CRM applications for sales, service, marketing, and more that can be setup and managed even by non-technical end users. Both small businesses and large-scale enterprises can easily use Salesforce CRM.

How Mailchimp and Salesforce data can be linked

The Email Campaign created in Mailchimp gives you details about the list of members targeted through promotional emails. Also, it helps to identify interested subscribers through the activity data like the number of opens. Marketing people can then convert these qualified leads into contacts, accounts, and opportunities in Salesforce CRM.

Defining metrics to showcase campaign performance

In this blog post, we will be looking at email campaigns and monitoring each of their performances by the lead conversion rate. We will look at the following metrics:

• Mail recipients
• Opens
• Clicks
• Open rate
• Click rate
• Bounces
• Top lead sources
• Leads conversion
• Campaign revenue
• Revenue won

Getting Mailchimp data

Through Mailchimp API 3.0, get the email campaign statistics such as open rate, click rate, and subscriber contacts to estimate the possible conversions.

Also, to enable the connection with your Mailchimp account, your username and API key are needed.

Furthermore, for API key generation, your account should have an admin or manager role. After that, generate the API key as discussed here.

Therefore, the REST API endpoints needed to get the Mailchimp data are available at

https://usX.api.mailchimp.com/3.0/

where, usX should be the last part of your Mailchimp API key.

Firstly, create a data source with this connection endpoint in Bold BI Dashboards. Consequently, this gives you the Mailchimp campaign data required to find the leads and convert them into contacts, accounts and opportunities.

Getting Salesforce data

Further, the next step is to create contacts and leads in Salesforce CRM for marketing people. Certainly, this is needed to estimate the campaign performance with converted leads and opportunities.

Note: Assuming the subscribers with the most opens had been considered as criteria for Salesforce CRM entry. Also, that the campaign names are the same in both the Salesforce CRM and Mailchimp campaigns.

Also, to enable the connection with your Salesforce account, your username and password are required.

Hence, the Salesforce data can be fetched using the SOQL query.

The following table showcases the required tables and fields needed to prepare data for the dashboard.

Creating a dashboard and data sources

First, decide the dashboard layout and the widgets needed to visualize the planned views. Consider the following dashboard layout with the required widgets to showcase the campaign performance.

Creating a new blank dashboard

1. To create a new dashboard, select the New Dashboard tile in the homepage of the Bold BI Dashboards.

   

2. As a result, the Create Dashboard window opens with four options.

   

3. Choose Start from Scratch. Finally, the Dashboard Designer page opens with a new blank dashboard created.

Connecting to Mailchimp

1. First, select the data source icon at the right. Consequently, the data source panel expands as shown in the following.

   

2. Further, select CREATE NEW in the previous panel. Consequently, the list of data connectors will be shown.

   

3. Likewise, in the Categories drop-down list at the top, choose the category Email Campaign.

   

4. Choose the Mailchimp connector. As a result, the Mailchimp data connection window will be displayed in the panel.

Creating a Mailchimp data source

1. Firstly, name the data source MailCampaigns.
2. Also, in the URL section, fill the campaigns endpoint URL as shown here.
3. Further, leave the default value GET selected under the Method section.
4. Likewise, under Max Rows section, set the maximum number of rows to be fetched. The default is 10.
5. Leave the Header(s) section empty, if you have your account username and API key to enter. Otherwise, add the authorization header with the corresponding value like in the following. Also, set the Authentication Type to None.

   Header	Value
   Authorization	apikey {your_api_key}

   

6. After that, define the refresh settings with the interval. As a result, the dashboard can refresh itself with the latest data updates.
7. Let the Data Format be JSON since the Mailchimp API endpoint returns result in JSON format.
8. In addition, if the Authentication Type is set to Basic Http Authentication, enter the user name and API key in the corresponding fields.

   

9. Click Preview & Connect. As a result, a window opens listing the data results, categorized into a table and columns.
10. Choose the desired columns. After that, click Connect. Consequently, the data source with the selected table and columns is created.

    

11. Also, drag and drop the table into the editing window.
12. Furthermore, click Save to save the data source.

Finally, the data source has been created. The data sources panel lists the created data source like in the following.

Connecting to Salesforce

1. First, select CREATE NEW in the DATA SOURCES panel. Consequently, it will display the list of data connectors.
2. Furthermore, in the Categories drop-down list at the top, choose the category Sales & CRM.

   
3. Choose the Salesforce connector. As a result, the Accounts window will be displayed to connect to your Salesforce account. Once the account details are configured, click Continue.

Finally, the Salesforce data connection window will be displayed in the panel.

Creating Salesforce data sources

For this blog post, create four data sources from the Salesforce connection. Their names and the SOQL queries are as listed in the following table.

Finally, the created data sources will get added in the DATA SOURCES panel like in the following.

Shared tables

For conversion calculation and comparative analysis in a dashboard, you need to join some of these data sources. Therefore, the CampaignLeads data source holding the Lead table needs to be joined with two tables. One is the Campaign table of the SalesforceCampaigns data source and the other is the CampaignMember table of the SalesforceCampaignMember data source. This is needed to associate the campaign name for Lead table access.

Similarly, the CampaignOpportunities data source holding the Opportunity table needs to be joined with the Campaign table of the SalesforceCampaigns data source. This is needed to associate the campaign name for Opportunity table access.

Hence, click the edit icon near the CampaignOpportunities data source item added in the DATA SOURCES panel.

Now, the editing view of the data source opens. Consequently, in the left panel, the Shared Tables pane is collapsed at the bottom.

Finally, this pane displays the data sources that you have permission to access. By default, the data sources you created before for this or any other dashboard will be listed here.

Joining with shared tables

1. First, choose the data source whose table need to be joined. In our case, the SalesforceCampaigns data source needs to be selected. After that, expand it.
2. Further, drag and drop the Campaign table in the design view.
3. Select the Join icon in the toolbar of the table design view to open the join editor.

   

4. Create a relationship between the two tables through the CampaignId column as shown in the following.

   

5. Likewise, the same needs to be done for the CampaignLeads data source table joining shown in the following.

   

6. Further, select the Expression icon in the toolbar of the table design view. Consequently, the expression editor opens.

   

7. Create three expression columns in the CampaignOpportunities data source with the following listed expressions.
   

   Name	Expression
   Open Opportunities	IF([IsClosed]=’false’,1,0)
   Expected Revenue	IF([IsClosed]=’false’,[Amount],0)
   Revenue Won	IF([IsWon]=’true’,[Amount],0)

Finally, the data sources are ready to configure with dashboard widgets.

Configuring widgets in dashboard

1. First, configure the widgets in the dashboard with corresponding data sources as described in the following table.
   

   Widget	Data Configuration
   Campaign (Type: Combo Box)	Date source: MailCampaigns Column: Title
   Recipients (Type: Card)	Data source: MailCampaigns Actual Value: Recipients Aggregation Type: Sum
   Opened (Type: Card)	Data source: MailCampaigns Actual Value: Opens Aggregation Type: Sum
   Clicked (Type: Card)	Data source: MailCampaigns Actual Value: Clicked Aggregation Type: Sum
   Open Rate (Type: Card)	Data source: MailCampaigns Actual Value: Open Rate Aggregation Type: Avg
   Click Rate (Type: Card)	Data source: MailCampaigns Actual Value: Click Rate Aggregation Type: Avg
   Revenue Won (Type: Card)	Data source: CampaignOpportunities Actual Value: Revenue Won Aggregation Type: Sum
   Open Opportunities (Type: Card)	Data source: CampaignOpportunities Actual Value: Open Opportunities Aggregation Type: Sum
   Expected Revenue (Type: Card)	Data source: CampaignOpportunities Actual Value: Expected Revenue Aggregation Type: Sum
   Subscribers Conversion (Type: Funnel Chart)	Data source: SalesforceCampaigns Value(s) NumberOfWonOpportunities NumberOfOpportunities NumberOfConvertedLeads NumberOfLeads
   Proportion of Revenue by Lead Sources (Type: Pie Chart)	Data source: CampaignOpportunities Value(s): Revenue Won Column(s): Lead Source
   Revenue won by Campaign (Type: Column Chart)	Data source: CampaignOpportunities Value(s): Revenue Won Column(s): Name
   Conversion Overview (Type: Grid)	Data source: CampaignLeads Column Id FirstName Email LeadSource IsConvertedFirst, configure the widgets in the dashboard with corresponding data sources as described in the following table.

2. After that, define the master-listener configuration to filter across the two different data sources like in the following.

   

3. Also, set Campaign widget as master.
4. Furthermore, make other widgets except Revenue won by Campaign widget as listeners to it.

Finally the dashboard is ready.

Sharing dashboard

You can share this dashboard with your marketing team to assess the campaign performance on the go. We hope this article helps you measure mail campaign performance with the statistical data of Mailchimp and Salesforce CRM. For any questions or clarifications, please post us through the comments section available below. You can also contact us by submitting your queries here or if you already have an account, please login to submit your support query. Bold BI Dashboards now comes with a 15-day free trial with no credit card information required. Give it a try on your own and let us know what you think! We are happy to assist you. Design with a smile!