To access your Funnel Report, log in to your Airbridge account and navigate to [Reports] > [Funnel] in the left sidebar.
You can customize your report by specifying a cohort and defining your funnel steps. Create your funnel with the steps that align with the user journey you want to analyze.
The following settings are required to view the Funnel Report. The Funnel Report tracks users who enter the funnel and convert through the funnel until the final step.
Settings | Description | Is it mandatory? |
---|---|---|
Identifier | The basis for determining unique users. The attribution results may differ depending on which identifier is selected. | Yes |
Cohort | A defined user group you want to analyze in the report. If not specified, all user data will be used for the funnel analysis. | No |
Funnel Entrance | The date range for users to enter the funnel. Users who have not completed Step 1 during this timeframe will not be tracked further through the funnel. | Yes |
Steps | Events you choose to analyze in the report. | Yes |
Conversion Window | The timeframe for tracking the behavior of users who have entered the funnel. Only the Steps that have been completed within this timeframe will be tracked. | Yes |
GroupBy | Options to set how to view the user data in the report. | No |
Select between “Device” and “User” and decide which identifier to use to determine unique users in your Funnel Report.
For more information about the identifiers supported in Airbridge, refer to this article.
Select “Device” to determine unique users using the device ID.
GAID, IDFA, and cookie ID are some examples of device IDs. Device IDs like GAID and IDFA are used to determine unique users of app events, and cookie ID to determine unique users of web events.
Note
When selecting “User,” the funnel entrance date range is configurable starting from October 1, 2023.
Select “User” to determine unique users using the Airbridge ID.
The Airbridge ID is a unique identifier generated by consolidating the device ID and the user ID. Each user ID is tied to one or more device IDs, thus enabling Airbridge to accurately identify a user with multiple devices as a single user. In other words, the Airbridge ID reconstructs the user journey using identifiers from both the app and the web, which allows for enhanced prevention of event double counting.
If you want to configure the steps with both the app events and web events, you must select “User” as the identifier.
Best practices for identifier selection
When selecting the identifier, consider the nature of the user journey you want to reconstruct.
If the user journey consists of only app events or web events, select the identifier you see fit.
If the user journey includes both app and web events, it is advised to select "User.”
A cohort refers to a group of users you choose to analyze in a Funnel Report. If you don’t specify a cohort, all user data will be used for the funnel analysis.
Click the “+ Add” button next to [Cohort] in the configuration box to define your cohort. You can define your cohort in a granular manner by adding specific conditions. Learn more about the conditions in the table below.
Conditions | Description | Options |
---|---|---|
performed | Use this condition if you want to create a cohort of users who performed a specific event | App events, Properties |
didn’t perform | Use this condition if you want to create a cohort of users who didn’t perform a specific event | App events, Properties |
with | Specify the number of times a user performed the selected event | Comparison operators (=,>, ≧, <, ≦), numbers |
when | Specify the date range a user performed the selected event | Date operators (ex. between), numbers |
The steps are the events you want to analyze in your Funnel Report. You can select any Airbridge Event as steps. You must set at least two steps to create a report; the maximum number of steps you can set is 10.
The Funnel Report shows you how many users converted from one step to the next. The analysis result is not influenced by any events outside the funnel that users may have performed in between the funnel steps. However, the order of the steps influences the analysis results.
For example, if you change the order of Steps A, B, and C, the analysis result will change even for the same cohort.
Step | A | B | C |
---|---|---|---|
Number of Users | 100 | 50 | 10 |
Step | A | C | B |
---|---|---|---|
Number of Users | 100 | 17 | 0 |
Click “Select Event” to set the funnel steps. You can change the order of the steps by dragging the steps. Click the [X] icon to delete the steps.
The funnel entrance date range is the date range for users to enter the funnel. Only users who complete the first step within the set timeframe enter the funnel and are further tracked. The conversion window is the timeframe for tracking the behavior of users who enter the funnel. Events performed outside the conversion window are not tracked.
Example 1)
Funnel entrance date range: From Jan 2 to Jan 4
Conversion window: 1 day (24 hours)
Only users who completed Step 1 between Jan 2 to Jan 4 enter the funnel and are further tracked for the next 1 day (24 hours). If a user completed Step 1 at 3 PM on Jan 2, this user's behavior will be tracked until 3 PM on Jan 3. Any events performed after 3 PM on Jan 3, will not be tracked.
Example 2)
Funnel entrance date range: From Feb 1 to Feb 8
Conversion window: 7 days
The funnel entrance date range is the date range for tracking the Step 1 event only, and the conversion window is the timeframe for tracking the following steps. In this example, users who completed Step 1 between Feb 2 and Feb 8 enter the funnel. The conversion window is set to 7 days, meaning if a user completes Step 1 on Feb 8 at 9 PM, this user’s behavior will be tracked until Feb 15 at 9 PM.
Use the date operator to set the funnel entrance date range, which is limited to the data retention period. You can select up to 175 days.
Date Operator | Options | Date Range |
---|---|---|
Between | Start date, end date | From start date to end date |
Since | Start date | From start date to today |
Last | Number (N) | From the past N days until the day before today |
When selecting “Last”, you can check the “Include Today” checkbox to include the current date in the analysis period. When you click “+ Offset” and enter a number, there will be a buffer of N days between the last day of the analysis period and the current date.
For the conversion window, you can either choose from 1, 7, 30, 60, 90, and 175 days or type in any number between 1 and 175. For example, if you choose 7 days, the conversion window of the Funnel Report will be 7 days.
GroupBy options are used to group users. GroupBys are applied to your user cohort. Using GroupBys, you can compare different groups within the same cohort at a glance.
For example, if you select “Country” as a GroupBy, your users will be grouped by countries. Understanding at which step users of different countries tend to drop off will help you adjust your global marketing strategies.
Click the “+Add” button next to [GroupBy] to select a GroupBy. You can apply only one GroupBy at a time. You can view your report without selecting a GroupBy.
The Funnel Report provides the analysis result in charts and tables. You can download the results as a CSV file. You can also save your funnel report settings to revisit the same report whenever needed.
The below table shows what you can see from the chat and table in the Funnel Report.
Chart | Table |
---|---|
- Total Conversion (No. of Users) | - Total Conversion (No. of Users) |
The bar chart in the Funnel Report shows the different conversion rates for each Step at a glance.
The numbers you can see at the top of the bars are the total conversion rate and the number of users who completed each step. The final conversion rate and the number of users who converted through the funnel can be found in the upper left corner of the chart.
When you look at the below example, the number above the second bar, “51.03%”, means that the percentage of users who completed the second step was 51.03% of those who completed Step 1. The number “743” means that 743 users completed Step 2. In the upper left corner of the chart, you can see that the final conversion rate is 0.55% and that 8 users converted through the funnel from the first to the last Step.
By hovering your mouse pointer over each bar, you can see a box with the number of converted users, the percentage of users converted from Step 1, and the percentage of users converted from the previous Step. When you hover your mouse pointer over the grey part of each bar, you can view the percentage and number of users who dropped off per Step.
If you select a GroupBy, you will see several bars representing each GroupBy group. Bars of the same color represent the same group. When you hover your mouse pointer over a bar, the bars of the same color will be highlighted.
You can remove the bars of a particular GroupBy group from the chart by clicking on a GroupBy group in the legend. The bars representing the particular group return to the chart when you click on it again.
The table provides the following information.
Total Conversion: The overall conversion rate and the number of users who converted through the funnel.
Average Time →: The average time it took users to convert from the previous Step to the selected Step.
Average Time for Total Conversion: The average time it took users to convert through the funnel.
For example, if the Average Step Time for Step 2 is 9h 5m 10s, it means that it took the users 9h 5m 10s on average to convert from Step 1 to Step 2. If the Average Conversion Time is 12h 21m 57s, it means that it took the users 12h 21m 57s on average to convert through the funnel from the first step to the last.
Notes
Due to Meta’s privacy policy, data that fails to reach a certain threshold will not be included for analysis in the Funnel Report. Please read this guide for more information.
Additional features of the Funnel Report are as follows:
Features | Location | What it does |
---|---|---|
Refresh | Above the Configuration Box | Reload the report while keeping the same settings |
Copy Config | Above the Configuration Box | Copy funnel settings |
Export CSV | Above the Configuration Box | Export the report in CSV format |
Save | Above the Configuration Box | Saves the funnel settings |
Hide | Above the Configuration Box | Hides the configuration box |
Copy Chart | Chart | You can copy the chart and paste it directly in messengers and design tools |
Copy Table | Table | You can copy the table and paste it directly in Google Spreadsheet |
New Report | [Saved Reports > New Report] | Create a new report |
Revert | Settings of a saved report | Restore the saved settings |
Delete Report | Settings of a saved report | Delete a saved report |
Save your report and import it whenever you need it. All users with access to the Funnel Report can import the saved reports.
You can save the settings by clicking the “Save” button. All the saved reports are available by clicking the “Saved Reports” menu above the configuration box.
When you import a saved report, the […] icon on the right top of the configuration box will be made visible. If you have made any changes to the report settings, click the […] icon and select “Revert” to restore the saved settings. to delete the saved report, click the […] icon and select “Delete Report” to restore the saved settings.
Following Meta’s privacy policy, from the Meta ads campaign data imported into Airbridge through channel integration and cost integration, fewer than 1,000 Meta ads impressions or fewer than 100 installs attributed to Meta will be masked and displayed as the following instead.
Display | Description |
---|---|
Privacy Block | All data is masked; only "Privacy Block" will be displayed |
+α, ±α | Data is partially masked |
The Touchpoint Generation Type of the Meta ads campaign data imported into Airbridge through channel integration and cost integration is displayed as Self-attributing Network in the Airbridge reports.
The masked data are not added up in the Airbridge reports. Below are some approaches you may try if you want the masked data to be added up in the Airbridge reports.
Change or extend the data range of the report.
Change GroupBys and filters or remove some of them.
Unmasked Meta ads campaign data
The Meta ads campaign data collected through other means, such as the Meta Install Referrer and Google Install Referrer, is not masked. You can use the Touchpoint Generation Type GroupBy in the Actuals Report to view data by how it was collected.
When “User” is selected as the identifier, the funnel entrance date range can be configured starting from October 1, 2023.
When the funnel entrance date range starts earlier than October 1, 2023, the “User” option is disabled and can’t be selected.
Depending on the identifier selected, the Funnel Report may display different results even if the other report configurations are the same. In general, when selecting “User” as the identifier, the Airbridge ID is used to determine unique users. Therefore, the event counts tend to be smaller than when selecting “Device” as the identifier.
The Airbridge ID is a unique identifier generated by tying each user ID with one or more device IDs. For more information about the Airbridge ID, refer to this article.
If the user journey includes both app events and web events, it is advised to select “User” as the identifier to determine unique users using the Airbridge ID. The Airbridge ID is better suited for analyzing cross-platform user journeys.
For more information, refer to this article.
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