Overview

Funnel Analytics enables you to analyze conversions and drop-offs on specific Contacts’ behaviours. A funnel is a set of steps that the contacts go through before they can reach the final marketing goal, like making a purchase, signing up, making a reservation, and so on. Funnel Analytics enables you to know how many contacts enter each step of the funnel, how many drop out at each step, and how many finally reach the bottom of the funnel which is your marketing goal. This data can help in identifying the gaps and taking necessary measures to fill them up.

In CE, you can design your cross-channel funnels the way you need. You can identify specific points in the customer journey where your efforts are not bringing the desired result, thus empowering you with valuable information to modify your marketing.

Navigate to Netcore CE dashboard and click Analytics > Funnel, the Funnel dashboard appears.

Create Funnels

Click the Create button on the Funnel dashboard to create a funnel and analyze the behaviour of your contacts. Follow these steps:

1. Provide a name to your funnel
2. Configure the following elements to create a funnel.

Drilldown Feature in Funnel Analytics

This allows you to gain deeper insights into your conversion data by segmenting it based on selected attributes. This enables you to understand how different segments of your audience are performing at each step of the funnel, allowing for more targeted optimization strategies.

Select from the available attributes from the Drilldown by dropdown list to segment your data. These attributes are categorized as follows:

• User Attributes: Includes demographics such as Age, Gender, City, Date of Birth (DOB), State, and Country.

After selecting an attribute (for example: City), the funnel automatically updates to display data segmented by that attribute. The visual representation in the funnel shows how different segments (For example: users from different cities) progress through each step of the funnel. For instance, you can compare the conversion rates between users from New Delhi, Mumbai, Bangalore, Pune, and Thane.

Each segment is displayed with its conversion rate. This allows you to identify which segments are underperforming or overperforming.

For example, if you notice that users from Thane have a significantly higher conversion rate at the "Product Purchase" step compared to users from other cities, you may want to explore why this segment is more successful and replicate those strategies for other segments.

To reset the funnel view and remove the applied drill down filter, click the None option. This reverts the funnel to its default view, showing the overall performance without drill down.

Compare to Past Feature

The Compare to Past feature allows you to evaluate your funnel's current performance against historical data, providing insights into trends and the impact of your strategies over time.

Select any predefined period option from the Compare to past dropdown list. The following options are available.

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Points to Remember

• Funnel data is retained for up to one year. Funnels that exceed this retention period are automatically archived in accordance with the data retention policy.
• When selecting custom date ranges for comparison, the end date must be at least one day prior to the current date to ensure valid comparison data.
• Custom date selections cannot include dates that are beyond the original funnel’s date range.

Click to download the data from your funnel comparison analysis as a CSV file.

CSV File Details:

• The CSV file are named according to the following format: [FunnelName]_comparetopast_[Timestamp of Download].csv
  For example: If you download a comparison on April 1, 2024, at 13:01:02, the file might be named AppPushToCheckout_comparetopast_20240401T130102.csv.

• The file content the following:

  File Section	To Remember
  Columns	The CSV includes columns that represent the different funnel steps, along with average conversion rates and average times for both the original and comparison periods. Additionally, it provides data on the number of users who dropped off at each step and those who completed the conversion.
  Rows	Each row corresponds to a specific funnel step. The first few rows summarize the overall funnel performance, followed by a detailed step-by-step breakdown for both the original and comparison periods.

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Data Representation

The data is presented in both absolute numbers and percentages, depending on the table settings. by default, the table and CSV shows percentage values.

Trend Chart

This chart displays overall conversion of your funnel daily based on selected date duration.

For example: If there is a 72% conversion on June 19th, it showcases that 72% of end users have completed the first step of the funnel on June 18th or June 19th, and proceeded to the last step by June 19th.

Frequently Asked Questions

Q. What is the maximum number of filters/drill-downs allowed in your funnels?
A. Applying filters is possible for App/web activity steps,a maximum five filters for each step can be applied. Users can brea kdown their funnel basis three attributes: Age, Gender & City. The breakdown can be downloaded as a CSV.

Q. What's the max time range that can be applied on a funnel (Does the custom date range have any limitations?)
A. A funnel will plot data for upto one year of a selected date range

Q. Can we set goals on funnel performance and track against those goals?
A. Not currently.