Overview

Funnels show users progress through defined paths in your app and pinpoint where they drop off between steps. Funnels are defined as a series of events that a user performs in a particular order.

Some common examples include a user onboarding flow where a user progresses from the initial launching of the app through activities such as registration, profile completion and orientation, or a purchase flow where a user progresses through a shopping cart experience through to a purchase event.

Creating a Funnel

To create a funnel, perform the following steps:

1. Select the desired events in the desired order where you can create up to an eight-step funnel.
2. Select event properties for each event to constrain the analysis for the users who performed that event/property combination.

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Re-arrange Steps

You can drag and drop to re-arrange the steps in a funnel.

Setting Conversion Window

Funnels are calculated based on a specified conversion window (set to five days by default). The conversion window is the total elapsed time for the user to complete all the steps in the funnel (i.e. to convert). Shorter windows generally result in fewer users completing the funnel steps whereas larger windows result in more user converting.

Compare by Segments

You can choose to compare your conversion across different segments. For example, compare the funnel for App Launched > Product Viewed > Charged across the All Users segment and the Frequent Buyers segment. The differences in the conversion trends could reveal a difference in the behavior of your users in each segment and hence result in an insight that could be invaluable.

To compare conversion across segments, perform the following steps:

1. Navigate to Analytics > Funnels.
2. Select the steps to analyze and view the conversion funnel.
3. Select the Compare to another segment box. Select a segment from the list or create an ad-hoc segment. For more information, refer to Segments.
4. Click View Funnel.

The results are displayed.

Advanced Filtering

Advanced filters restrict your analysis to a specific segment of users. Create a segment based on any combination of past behaviors in combination with any set of user properties.

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Advanced Filters

Advanced filters is a general feature available for all analytics features and most campaigns. For more information, refer to Segments.

Reading Funnel Charts

Funnel charts let you quickly determine how many users progress through each of the funnel steps.

The default view shows cumulative conversions per step for the selected time range and can be viewed as either an absolute count of users completing each step or as a percentage.

By definition, all users (100%) complete the first step in any funnel. In the example below, for the first step under Product Viewed, 157,858 users complete this step. Of these users, 103,094 go on to the Added to Cart step, then 30,704 users go on to complete the final Charged step in the funnel.

Breakdown by Property

You can breakdown a funnel by profile properties for sessions, geographies, technographics, or by any event property associated with any event. By doing this, you can compare your conversion flows across product categories, geographies, devices, and more.

To breakdown by property, perform the following steps:

1. Click Analytics > Funnel.
2. Add Funnel steps and click View Funnel.
3. Select the property and its value to breakdown the funnel.

Hold Property Constant

You can define conversion based on event property which helps determine if the conversion was done for the intended item or not.

You expect the user to view a shirt, add this shirt to cart, and then purchase it. Here, the product name is your event property and the property values are Shirt, Dress, Trousers, Jackets. If the user purchases anything else, you do not consider it as conversion.

Now the user views the shirt, adds the shirt to cart, but purchases a trouser. You still have a sale but this is not the intended analysis. If the user purchases trousers, then this must be considered as a drop-off. To do this, you can hold the event property (product name) constant and consider it a conversion only if the user purchases a shirt.

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Property Considerations

Below are some property to consider:

• Only the top 20 event properties are considered.
• You can break down a funnel by an event property and also hold this event property as constant; however, it must be the same event property in this case.
• Creating a campaign or segment is not supported for this funnel type.

Conversions over Time

For each funnel, CleverTap calculates and trends the time it takes for users to progress from one step to another and shows these trends in both a cumulative and absolute graph.

Conversion time helps you understand how long it takes the majority of your users to progress between steps in your funnel. In turn, this can be used as a basis for sending engagement campaigns timed to reach users who do not convert within the time the majority of your users convert.

Depending on the nature of the app and conversion flow, users may progress through funnel steps measured in hours or minutes or measured in days, weeks, or even months.

For a funnel where users progress between steps rapidly, set the conversion time to an appropriate time (for example, 8 hours or less) to see the specific time when the majority of users convert. In the example below, the conversion time is set to 1 hour. From the graph, we see that 80% of users progress through the funnel within 14 minutes.

The absolute trend graph shows you the spike in conversions within the first minute where 44% of users convert.

Daily Trend View

In the daily trend view, the completion of each step is calculated for each day in the selected time range and trended. The daily trend view lets you pinpoint spikes in conversions on a particular day as well as to see if conversions are trending up or down over time. Trends can be viewed as either an absolute count of users or a percentage.

Note that in the daily trend view on any particular day, the users converting for each step are independent of one another. For example, on September 4, 59,474 users completed the Product Viewed step and 47,794 users completed the Added to Cart step.

Keep in mind that the users who complete Added to Cart on September 4 are not necessarily a subset of the users who completed the Product Viewed step on that day. Some of these users who completed Added to Cart on September 4 may have completed the Product Viewed step the prior day, week, and so on.

Funnel Computation Methods

This section covers two types of funnel computation methods including the default method and the strict ordering method.

Default Method

By default, funnels will count all users who perform all the specified steps in order regardless of whether they loop back to an earlier step or move forward to a later step in the funnel.

For example, if our funnel steps are defined as:

• Funnel Steps: Step A → Step B → Step C → Step D

In the scenarios below, we can analyze whether different users are counted as converting depending on the order in which each progress through the funnel steps.

• User 1: Step A → Step B → Step C → Step D
• User 2: Step A → Step C → Step D
• User 3: Step A → Step C → Step B → Step D
• User 4: Step A → Step B → Step A → Step C → Step D

User 1 is counted since she progresses through the funnel steps in order.
User 2 is not counted since she did not perform Step B.
User 3 is not counted since she completed the steps out of order.
User 4 is counted since she completed the steps in order, even though she looped back and performed Step A twice.

Strict Ordering Method

By checking Enforce Strict Order, users will only be counted if they complete the funnel steps in exactly the specified order without performing another one of the funnel steps out of order.

Consider the same example as above where the funnel steps defined are:

• Funnel Steps: Step A → Step B → Step C → Step D

If we analyze the users below:

• User 1: Step A → Step B → Step C → Step D
• User 2: Step A → Step C → Step D
• User 3: Step A → Step C → Step B → Step D
• User 4: Step A → Step B → Step A → Step C → Step D

Here, only user 1 will be counted as converting as the strict order restricts any deviation from the specified steps in the funnel. The other users (i.e., 2, 3, and 4) are breaking the strict ordering, therefore, they do not qualify.

Table View

You can also view the funnel information in a table.

Every categorization (split by user or event property) in the funnel is a row in the table. You can see the following information in each row:

• Overall % conversion from the first step to the last step.
• Conversion % from one step to the next.
• Median time for conversion to the next step.

Frequency Chart

The frequency chart displays the frequency of a user action from the current step to the next. For example, it can show the number of times a user viewed a shirt before purchasing it.

To do so, perform the following steps:

1. Select the funnel step as follows:
2. App Launched
3. Product Viewed
4. Charged

Once done, the funnel is displayed.

2. Click the Frequency tab.
3. Select the step for your analysis, Product viewed in our example.

It shows you the frequency of users who viewed the product before purchasing it. We see in the example that 19.63 % of the users viewed the product two times before making a final purchase. So the insight might be that marketing effort needs to be towards reducing the number of product views or that maybe, the user needs more information in the first product view before making a purchase.

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Frequency Chart Considerations

Consider the following:

• Frequency chart is available only from the second funnel step.
• Creating a campaign or segment is not supported for this funnel type.

Bookmarks

You can bookmark any funnel, cohort, or event query, and save it to quickly retrieve later. Bookmarks are specific to each logged-in user. No other dashboard users will see the bookmarks you save.

Bookmarks are convenient for recalling a specific analysis that you want to see frequently. For example, you can bookmark your important conversion funnels and view them each day or week to see how they are changing over time.

Actionable Funnels

After you build a funnel, you can use the actionable funnels feature to save a segment of users from the funnel or create a campaign targeting that segment.

Example

You can create a segment for users who did or did not complete an event at a specific stage of a funnel.

For example, we can create a new funnel that measures the progression of users who launch your app, add an item to their cart, and then purchase an item.

First, we create a segment for the users who only launched your app, added an item to their cart, but then did not purchase an item. We can do this by clicking the gray area in the third bar which represents the users who dropped off and did not complete the charged event.

Alternatively, instead of targeting users who dropped off in the last stage of the funnel, we can create a segment or campaign targeting that segment for users who purchased an item.