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'''Navigation:''' [[Main_Page]] > [[Reports]] > [[Custom Reports]] > Custom report recipe
'''Navigation:''' [[Main_Page]] > [[Reports]] > [[Custom Reports]] > Custom report recipe


== Custom report recipe: Automation engagement trends ==
== Custom report recipe: Ecommerce store performance ==


=== Introduction ===
=== Introduction ===
The '''Custom report recipe: Automation engagement trends''' is a feature in ActiveCampaign that enables users to build tailored reports reflecting the effectiveness of their automations over a specified period. By utilizing this report, users can gain insights into the total entries and completions of their automations, providing a clearer picture of engagement trends over time. This information is crucial for making informed decisions about future strategies and optimizing automation performance.
The '''Custom report recipe: Ecommerce store performance''' in ActiveCampaign is a powerful tool designed to help users analyze their store performance metrics effectively. This feature allows you to identify insights based on order volume and revenue, facilitating better decision-making based on comprehensive data analysis. By utilizing this report, businesses can achieve a more nuanced understanding of how each store performs over specific periods, evaluate the success of marketing campaigns, and enhance overall business strategies.


=== How to access this feature ===
=== How to Access Custom Reports ===
To access the '''Custom report recipe: Automation engagement trends''', follow these steps:
To access the custom reporting tool, follow these steps:
1. Log in to your ActiveCampaign account.
2. From the primary navigation menu, click on '''Reports'''.
3. Select '''Custom Reports''' to open the custom reports dashboard.


=== Step-by-step instructions ===
# Click '''Reports''' on the left menu of your account.
Creating a custom report for automation engagement trends involves several steps, including setting up filters, dimensions, and measures. Below is a detailed guide:
# Select '''Custom Reports''' from the dropdown menu.


1. **Access Custom Reports**: Navigate to the custom reports section as detailed above.
With this navigation, you are ready to build your custom report.
 
2. **Create Filters and a Dimension**:
  - Click on the '''Automation''' view located in the left pane to access nested dimensions and measures.
  - Create the first filter by hovering over the '''Automation Name''' dimension, then click the '''Filter''' button that appears.
  - Next, expand the options for the '''Event Date''' dimension by clicking it.
  - Hover over the '''Month''' dimension and click the '''Filter''' button to set it as a filter as well.
 
3. **Add Automation Event Date**:
  - Click the '''Month''' dimension to include the '''Automation Event Month''' dimension into the report. This will establish a time frame for your report.


4. **Choose Visualization Type**:
=== Step-by-Step Instructions ===
  - Expand the '''Visualization''' section by clicking on it.
Creating a custom report for evaluating eCommerce store performance involves adding several components, including filters, dimensions, and measures.
  - Select the '''Line''' chart icon to visualize your data trends effectively.


5. **Run the Report**: After your filters and visualization are set up, click the '''Run''' button located at the top right of the report to retrieve the relevant data.
==== Build the Report ====
To build your report, you need to create 5 filters, 1 dimension, and 2 measures as described below.


=== Configuration options and settings ===
==== Create the Filters ====
When creating the report, you will configure the following options:
Add each filter by following these steps. Each filter is located in the '''eCommerce''' view:
- **Filters**:
 
   - '''Automation Name''': To specify which automation you're analyzing.
# Click the '''eCommerce''' view.
   - '''Event Date: Month''': To filter the data based on a specific monthly time frame.
# From the list of filters, proceed with the following selections:
## Click '''Order Created Date''', hover over the filter you want to use, and click the filter icon that appears.
## Hover over '''Automation Name''' and click the filter icon.
## Hover over '''Campaign Name''' and click the filter icon.
## Hover over '''Product Name''' and click the filter icon.
## Finally, hover over '''Store Name''' and click the filter icon.
# After adding the filters, you will need to set operators and values. Click the dropdown for each filter to specify an operator, then click the value field to choose your value from the list presented.
 
==== Create the Dimension ====
This dimension can be added from the '''eCommerce''' view:
 
# Click on '''Store Name''' to include it as your dimension.
 
==== Create the Measures ====
To add your measures, follow these steps, which are also located in the '''eCommerce''' view:
 
# Scroll down to the '''Measures''' section.
# First, click the '''Total Orders''' option.
# Then, click the '''Total Revenue''' option.
 
==== Run the Report ====
With the filters, dimension, and measures in place, it’s time to run your report:
 
# Navigate to the '''Visualization''' portion of the report builder.
# Click the '''Table''' chart icon.
# Finally, click the '''Run''' button located at the top right to pull the data into your report.
 
This process may take a few moments while the system retrieves the relevant data.
 
==== Save and Share the Report ====
Once you have generated the report, you have the option to save and share it:
 
# Click the gear icon located at the top right of the report, next to the '''Run''' button.
# Select '''Save as a Look''' from the dropdown menu.
# Enter a title for your Look.
# Optionally, type a description to provide additional context.
# Click the '''Save & View Look''' option to complete the process.
 
=== Configuration Options and Settings ===
The key components you will configure in your custom report are as follows:
 
* '''Filters''':
  * '''Order Created Date'''
  * '''Automation Name'''
  * '''Campaign Name'''
   * '''Product Name'''
  * '''Store Name'''
    
* '''Dimension''':
  * '''Store Name'''
    
    
- **Dimension**:
* '''Measures''':
   - '''Automation Event Date: Month''': This will allow you to categorize the automation data by month.
  * '''Total Orders'''
   * '''Total Revenue'''
 
These components allow for a robust analysis of store performance metrics based on specified criteria.


- **Measures**:
=== Best Practices and Tips ===
  - '''Automation Total Entries''': Displays the total number of entries for the specified automation.
To maximize the effectiveness of your custom report, consider the following best practices:
  - '''Automation Total Completes''': Represents the total number of completions for the chosen automation.


=== Best practices and tips ===
* Ensure clarity in the filters applied; overly complex filtering may obscure insights.
- **Set Clear Objectives**: Before creating your report, determine what specific insights you are looking for, such as identifying automation effectiveness or areas of improvement.
* Regularly update the title and description of your saved Looks for ease of reference in the future.
- **Regularly Review Trends**: Schedule regular reviews of your automation engagement trends to adapt your strategies promptly.
* Combine different filtering criteria to generate insights across various metrics, such as campaigns or automation performance.
- **Explore Different Visualizations**: While a line chart is a great start, consider experimenting with other visualization options to uncover different insights.
* Consider scheduling reports on a regular basis to consistently track store performance over time.
 
=== Common use cases with examples ===
- **Monitoring Automation Performance**: Use this report to track how well an automation performs over specific months. For example, if an email campaign automation showed 200 total entries in January but only 150 in February, it may indicate a change in recipient engagement that needs to be explored further.
- **Comparative Analysis**: Run separate reports for different automations to compare their performance and engagement levels side-by-side, assessing effectiveness and informing strategic adjustments.


=== Troubleshooting section ===
=== Common Use Cases ===
- **Data Not Displaying**: If the report yields no data, ensure that the selected filters are correctly applied and that data exists for your chosen time frame.
Here are a few common use cases for the '''Custom report recipe: Ecommerce store performance''':
- **Incorrect Metrics**: Verify that the correct filters and dimensions are set up; missing or incorrect configurations can lead to misleading metrics.


=== Related features ===
* **Assessing Marketing Effectiveness**: By filtering the report by '''Campaign Name''', businesses can analyze how different marketing efforts impact sales.
For more information on related reporting functionalities, explore these features:
* **Sales Seasonality Analysis**: Utilizing the '''Order Created Date''' filter helps in evaluating sales peaks during specific periods (e.g., holidays).
- [[Reporting Basics]]
* **Product Performance Review**: By including '''Product Name''' in the filters, companies can identify best-selling products and adjust inventory or marketing strategies accordingly.
- [[Automation Reports]]
- [[Custom Reports Overview]]


=== FAQ ===
=== Troubleshooting ===
'''Q1: What is the purpose of the Automation engagement trends report?'''
While generating your custom report, you may encounter common issues such as:
A1: This report allows users to track and analyze entries and completions of automations over time, providing insights into their effectiveness.


'''Q2: Can I customize the time frame for the report?'''
* **No Data Displayed**: Ensure that the filters applied are not too restrictive, which may result in no records being returned.
A2: Yes, you can filter the report by a specific month or a custom date range to analyze the trend over that time period.
* **Long Loading Times**: If the report takes too long to run, simplify some of the filters or reduce the date range to pull data more efficiently.


'''Q3: What do the 'Total Entries' and 'Total Completes' metrics represent?'''
=== FAQ ===
A3: 'Total Entries' indicates the number of contacts that entered the automation, while 'Total Completes' reflects how many successfully completed the automation's sequence.
# '''How many filters can I use in a custom report?'''
The custom report allows the use of 5 filters to provide detailed insights.


'''Q4: How can I visualize the data from my report?'''
# '''Can I customize the report title and description?'''
A4: You can choose various visualization tools, with the '''Line''' chart being one of the most effective for showing trends over time.
Yes, when saving your report, you can add a title and optional description for clarity.


'''Q5: Is it possible to save and share this report?'''
# '''What measures are used in this report?'''
A5: Yes, you can save the report and share it with team members or stakeholders for collaborative analysis. Click the setting gear icon, then select '''Save as a Look…'''.
The report utilizes measures such as '''Total Orders''' and '''Total Revenue''' to evaluate performance.


'''Q6: Are there any prerequisites to use the Custom report recipe feature?'''
# '''Is the custom report feature available for all plan types?'''
A6: The Custom Reports feature is available with the add-on for Plus and Professional plans, or included in the Enterprise plan.
This feature is included with the Enterprise plan and as an add-on for Plus and Professional plans.


'''Q7: Where can I find more resources to learn about report creation?'''
# '''How do I access saved Looks?'''
A7: Check the [[Reports]] and [[Custom Reports]] documentation for more detailed guides and resources.
Saved Looks can be accessed from the Reports menu under the Custom Reports section.


By following these guidelines, users can effectively leverage the '''Custom report recipe: Automation engagement trends''' to enhance their automation strategies through data-driven insights.
By following the above steps and tips, users can effectively leverage the '''Custom report recipe: Ecommerce store performance''' to optimize their eCommerce strategies and drive business success.
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Latest revision as of 19:17, 3 November 2025

```mediawiki Navigation: Main_Page > Reports > Custom Reports > Custom report recipe

Custom report recipe: Ecommerce store performance[edit | edit source]

Introduction[edit | edit source]

The Custom report recipe: Ecommerce store performance in ActiveCampaign is a powerful tool designed to help users analyze their store performance metrics effectively. This feature allows you to identify insights based on order volume and revenue, facilitating better decision-making based on comprehensive data analysis. By utilizing this report, businesses can achieve a more nuanced understanding of how each store performs over specific periods, evaluate the success of marketing campaigns, and enhance overall business strategies.

How to Access Custom Reports[edit | edit source]

To access the custom reporting tool, follow these steps:

  1. Click Reports on the left menu of your account.
  2. Select Custom Reports from the dropdown menu.

With this navigation, you are ready to build your custom report.

Step-by-Step Instructions[edit | edit source]

Creating a custom report for evaluating eCommerce store performance involves adding several components, including filters, dimensions, and measures.

Build the Report[edit | edit source]

To build your report, you need to create 5 filters, 1 dimension, and 2 measures as described below.

Create the Filters[edit | edit source]

Add each filter by following these steps. Each filter is located in the eCommerce view:

  1. Click the eCommerce view.
  2. From the list of filters, proceed with the following selections:
    1. Click Order Created Date, hover over the filter you want to use, and click the filter icon that appears.
    2. Hover over Automation Name and click the filter icon.
    3. Hover over Campaign Name and click the filter icon.
    4. Hover over Product Name and click the filter icon.
    5. Finally, hover over Store Name and click the filter icon.
  3. After adding the filters, you will need to set operators and values. Click the dropdown for each filter to specify an operator, then click the value field to choose your value from the list presented.

Create the Dimension[edit | edit source]

This dimension can be added from the eCommerce view:

  1. Click on Store Name to include it as your dimension.

Create the Measures[edit | edit source]

To add your measures, follow these steps, which are also located in the eCommerce view:

  1. Scroll down to the Measures section.
  2. First, click the Total Orders option.
  3. Then, click the Total Revenue option.

Run the Report[edit | edit source]

With the filters, dimension, and measures in place, it’s time to run your report:

  1. Navigate to the Visualization portion of the report builder.
  2. Click the Table chart icon.
  3. Finally, click the Run button located at the top right to pull the data into your report.

This process may take a few moments while the system retrieves the relevant data.

Save and Share the Report[edit | edit source]

Once you have generated the report, you have the option to save and share it:

  1. Click the gear icon located at the top right of the report, next to the Run button.
  2. Select Save as a Look from the dropdown menu.
  3. Enter a title for your Look.
  4. Optionally, type a description to provide additional context.
  5. Click the Save & View Look option to complete the process.

Configuration Options and Settings[edit | edit source]

The key components you will configure in your custom report are as follows:

  • Filters:
 * Order Created Date
 * Automation Name
 * Campaign Name
 * Product Name
 * Store Name
 
  • Dimension:
 * Store Name
 
  • Measures:
 * Total Orders
 * Total Revenue

These components allow for a robust analysis of store performance metrics based on specified criteria.

Best Practices and Tips[edit | edit source]

To maximize the effectiveness of your custom report, consider the following best practices:

  • Ensure clarity in the filters applied; overly complex filtering may obscure insights.
  • Regularly update the title and description of your saved Looks for ease of reference in the future.
  • Combine different filtering criteria to generate insights across various metrics, such as campaigns or automation performance.
  • Consider scheduling reports on a regular basis to consistently track store performance over time.

Common Use Cases[edit | edit source]

Here are a few common use cases for the Custom report recipe: Ecommerce store performance:

  • **Assessing Marketing Effectiveness**: By filtering the report by Campaign Name, businesses can analyze how different marketing efforts impact sales.
  • **Sales Seasonality Analysis**: Utilizing the Order Created Date filter helps in evaluating sales peaks during specific periods (e.g., holidays).
  • **Product Performance Review**: By including Product Name in the filters, companies can identify best-selling products and adjust inventory or marketing strategies accordingly.

Troubleshooting[edit | edit source]

While generating your custom report, you may encounter common issues such as:

  • **No Data Displayed**: Ensure that the filters applied are not too restrictive, which may result in no records being returned.
  • **Long Loading Times**: If the report takes too long to run, simplify some of the filters or reduce the date range to pull data more efficiently.

FAQ[edit | edit source]

  1. How many filters can I use in a custom report?

The custom report allows the use of 5 filters to provide detailed insights.

  1. Can I customize the report title and description?

Yes, when saving your report, you can add a title and optional description for clarity.

  1. What measures are used in this report?

The report utilizes measures such as Total Orders and Total Revenue to evaluate performance.

  1. Is the custom report feature available for all plan types?

This feature is included with the Enterprise plan and as an add-on for Plus and Professional plans.

  1. How do I access saved Looks?

Saved Looks can be accessed from the Reports menu under the Custom Reports section.

By following the above steps and tips, users can effectively leverage the Custom report recipe: Ecommerce store performance to optimize their eCommerce strategies and drive business success. ```