How to set up the Arima Plus forecasting report | Learning Center

To set up the Arima Plus forecasting report, follow these steps:

Go to the left-hand navigation menu.
Select Data & reporting → Reporting solutions
Click on the 'Create new report' button.

You can watch the complete setup process in the video or refer to the step-by-step guide provided below.

Step 1. Select the report

Select the report type: Arima Plus forecasting report.

Step 2. Select the data sources and choose custom groupings

Keep the following points in mind when setting up the Arima Plus forecasting report:

Data sources: Setting up Google Analytics data sources is a mandatory requirement for this type of report, while the rest of the data sources can be chosen flexibly.
Custom grouping: Custom grouping is important in the Arima Plus forecast report. The report is aggregated based on Date and Custom groupings, including market and channel grouping levels. This allows for accurate data integration from different platforms and relevant datasets. For instance, you can join Google Analytics data with Facebook Ads data to address specific cases.

Here is a detailed explanation for each data source:

Google Analytics 4

1. Select the Google Analytics 4 accounts connected to Alvie, as explained here. You can choose multiple accounts.

2. To customize the channel grouping and market grouping, adjust the ready-made custom groupings according to your specific needs, as explained here.

When selecting Google Analytics accounts to be used for the Arima Plus forecast report, it is mandatory to set up custom grouping specifically for this data source.

Google Analytics UA

1. Select the Google Analytics UA accounts connected to Alvie, as explained here. You can choose multiple accounts.

It's important to note that Google will deprecate Google Analytics UA after July 1, 2024. Therefore, you can use this data source in reporting solutions if it is set up before this date.

2. To customize the channel grouping and market grouping, adjust the ready-made custom groupings according to your specific needs, as explained here.

When selecting Google Analytics UA accounts to be used for the Arima Plus forecast report, it is mandatory to set up custom grouping specifically for this data source.

Google Ads

1. Select the Google Ads accounts connected to Alvie, as explained here. You can choose multiple accounts.

2. To customize the channel grouping and market grouping, adjust the ready-made custom groupings according to your specific needs, as explained here.

Microsoft Ads

1. Select the Microsoft Ads accounts connected to Alvie, as explained here. You can choose multiple accounts.

2. To customize the channel grouping and market grouping, adjust the ready-made custom groupings according to your specific needs, as explained here.

Facebook Ads

1. Select the Facebook Ads accounts connected to Alvie, as explained here. You can choose multiple accounts.

2. To customize the channel grouping and market grouping, adjust the ready-made custom groupings according to your specific needs, as explained here.

DV360

1. Select the DV360 accounts connected to Alvie, as explained here. You can choose multiple accounts.

2. To customize the channel grouping and market grouping, adjust the ready-made custom groupings according to your specific needs, as explained here.

Step 3. Define data target properties

In this step, you will find the basic settings, which require you to define the Google Cloud project and BigQuery output dataset. For detailed instructions on how to correctly fill in this data, please refer to the documentation provided here.

Additionally, this step includes advanced settings that are optional to use. Here, you have the ability to define the schedule for creating the Arima Plus forecasting report.

By default, the schedule is set to daily, but you can choose other options that are suitable for your needs:

You can learn more about how the schedule is set up here.

Step 4. Other settings

This step includes two important settings:

Here are detailed explanation for all the settings:

Setting 1. GA4 migration date

You can find detailed information on how to correctly set up the GA4 migration date here.

Due to the deprecation of Google Analytics UA, migration to Google Analytics 4 is necessary. The transition from using UA to GA4 data is seamless, and Alvie just needs to know when you would like the transition to happen.

Setting 2. Target currency

You can find detailed information on how to correctly set up the Target currency here.

The different data sources may have different currencies. To simplify and clarify the output results for reports, we unify them into a single currency.

To set a currency, simply select the desired currency from the dropdown menu:

Setting 3. Holiday region

You can find detailed information on how to correctly set up the Holiday region here.

Holidays have a significant impact on businesses. For instance, a toy store might see a spike in sales around Christmas, while a costume store might see its peak around Halloween. The importance of these holidays can vary based on the region or country you operate in.

To choose a Holiday region, simply select the desired value from the dropdown menu:

Setting 4. GA4 event name

You can find detailed information on how to correctly set up the GA4 event name here.

The GA4 Event name parameter communicates to the model which parameter needs to be forecasted. Simply type in the name of the event or use the default suggested value.

Please note that this value is case-sensitive.

Setting 5. Google Ads conversion action name

You can find detailed information on how to correctly set up the Google Ads conversion action name here.

If you have selected Google Ads as a data source for the report, you need to provide a value for this setting. The Google Ads conversion action name parameter communicates to the model which conversion action needs to be forecasted. Simply type in the required value or use the default suggestion.

Setting 6. Bing goal name

You can find detailed information on how to correctly set up the Microsoft Ads name here.

If you have selected Microsoft Ads as a data source for the report, you need to provide a value for this setting. The Microsoft Ads name or conversion name parameter communicates to the model which conversion for Bing needs to be forecasted. Simply type in the required value or use the default suggestion.

Please note that this value is case-sensitive.

Setting 7. Facebook conversion name

You can find detailed information on how to correctly set up the Facebook conversion name here.

If you have selected Facebook Ads as a data source for the report, you need to provide a value for this setting. The Facebook conversion name parameter communicates to the model which conversion for Facebook Ads needs to be forecasted. Simply type in the required value or use the default suggestion.

Setting 8. DV360 floodlight name

You can find detailed information on how to correctly set up the DV360 floodlight name here.

If you have selected DV360 as a data source for the report, you need to provide a value for this setting. The DV360 floodlight name parameter communicates to the model which conversion for DV360 needs to be forecasted. Simply type in the required value or use the default suggestion.

Please note that this value is case-sensitive.

Step 5. Activate the report

If you have finished configuring the settings, you can activate the report. However, if you still need to make adjustments to the settings, you can choose to save without activating.

For more detailed information on report activation and setting up the Looker studio dashboard, please refer to the documentation provided here.