Funnel Analysis 101 | Ujjwal Trivedi | Product Manager |Product Management | AntWak

AntWalk | Crafting Human Capability
25 Apr 202002:03

Summary

TLDRThe video script explains funnel analysis as the customer journey through a product's lifecycle. It uses a software app as an example, detailing the typical steps a user takes from downloading, opening, signing up, verifying, and engaging with various features. The script highlights the common 'funnel' phenomenon where not all customers follow the same path, with many dropping off at different stages, illustrating the importance of understanding and optimizing the user experience to increase retention.

Takeaways

  • πŸ”‘ Funnel Analysis is a method to understand the customer journey through a product.
  • πŸ“² Customers typically start their journey by downloading an app or software.
  • πŸ‘€ After downloading, customers may open the app and explore its features.
  • πŸ“ Some customers might require signing up to use certain features of the app.
  • πŸ”‘ The sign-up process often involves filling out a form and verifying their identity.
  • πŸš€ Post sign-up, customers may be prompted to engage with the first use case of the product.
  • πŸ”„ Following the first use case, they might be guided towards subsequent use cases.
  • πŸŒͺ Not all customers follow the same path; some may drop off at various stages.
  • πŸ“‰ The concept of a 'funnel' illustrates the decreasing number of users as they progress through the journey.
  • πŸ“ˆ The 'ideal journey' represents the full engagement with the product, but not all users complete it.
  • πŸ“Š The 'funnel' metaphorically shows the start with a large number of users and ends with a smaller, more engaged group.

Q & A

  • What is the main subject of the provided transcript?

    -The main subject of the transcript is funnel analysis, specifically focusing on the customer journey within a product, such as a software application.

  • What is the initial step a customer typically takes when interacting with a new app?

    -The initial step a customer typically takes is to download the app and then open it to explore its features.

  • What is the significance of the 'funnel' analogy in describing the customer journey?

    -The 'funnel' analogy signifies the decreasing number of customers as they progress through the stages of the customer journey, with many dropping off at various points.

  • Why might a customer choose not to sign up after opening an app?

    -A customer might not sign up after opening an app due to various reasons such as lack of interest, privacy concerns, or if they find the app too complex.

  • What does the transcript suggest about the customer journey being non-linear?

    -The transcript suggests that not every customer follows the same path through the product, indicating a non-linear customer journey.

  • How does the transcript describe the process of a customer trying out different use cases of a product?

    -The transcript describes the process as a sequence where customers might try out the first use case, then be prompted for the second, and so on, if they continue to engage with the product.

  • What is the purpose of the 'sign up' step in the customer journey?

    -The 'sign up' step is crucial as it is where customers validate or verify themselves, allowing them to access more features and fully engage with the product.

  • What challenges does the 'funnel analysis' help to identify in the customer journey?

    -Funnel analysis helps to identify where customers are dropping off in the journey, indicating potential areas for improvement in the product or the user experience.

  • Why is it important to track the entire customer journey from the perspective of product usage?

    -Tracking the entire customer journey is important to understand customer behavior, identify drop-off points, and optimize the user experience to increase engagement and retention.

  • How can product teams use the insights from funnel analysis to improve their product?

    -Product teams can use insights from funnel analysis to make data-driven decisions to streamline the user onboarding process, enhance features, and address any barriers that cause customers to drop off.

  • What is the ideal outcome for a customer journey as described in the transcript?

    -The ideal outcome is for the customer to complete the entire journey, from downloading the app to fully engaging with all intended use cases, as this indicates successful product adoption.

Outlines

00:00

πŸ“ˆ Understanding Funnel Analysis

The first paragraph introduces the concept of funnel analysis, which is the tracking of a customer's journey through the use of a product. It uses the example of a software application to illustrate the typical steps a customer might take, from downloading and opening the app, to signing up, verifying their account, and engaging with various features. The paragraph emphasizes the variability in customer behavior, noting that not all users will follow the same path and that the 'funnel' metaphorically narrows as fewer customers complete each subsequent step, leading to a drop-off in engagement.

Mindmap

Keywords

πŸ’‘Funnel Analysis

Funnel analysis is a method used to visualize the customer journey and identify the stages at which potential customers move towards a desired action. In the video's context, it refers to the process of tracking how users interact with a product, from initial download to full engagement. The script uses the analogy of a funnel to illustrate how the number of users decreases as they progress through various stages of using an app, with the widest part representing the initial download and the narrowest representing the final stage of complete usage.

πŸ’‘Customer Journey

The customer journey is the path a customer takes from first becoming aware of a product or service to making a purchase or taking a desired action. In the script, the customer journey is detailed through the steps a user might take with an app, from downloading and opening it, to signing up, verifying, and engaging with its features. This concept is central to understanding how to improve user retention and conversion rates.

πŸ’‘Download

Download refers to the action of acquiring a software application or app onto a device. In the video script, it is the first step in the customer's interaction with the product. The number of downloads is often used as an initial measure of user interest and potential market reach.

πŸ’‘Open

To open, in the context of the script, means to launch or initiate the use of the app after it has been downloaded. This is a critical step as it indicates the user's initial engagement with the product, moving from a passive downloader to an active user.

πŸ’‘Sign Up

Sign up is the process where a user creates an account or registers to use a service. The script mentions this as a step where users may choose to engage more deeply with the app by providing their information, which is often necessary to access more features or to personalize the user experience.

πŸ’‘Features

Features refer to the capabilities or characteristics of a product that make it stand out and provide value to the user. In the script, users are described as looking at and trying out the app's features, which is a way for them to evaluate the product's usefulness and decide whether to continue using it.

πŸ’‘Verification

Verification in the script refers to the process of confirming a user's identity or account details to ensure security and authenticity. This is an important step in the customer journey, as it builds trust and is often a requirement before a user can fully utilize the app's services.

πŸ’‘Use Case

A use case is a specific scenario in which a product or service is used to perform a particular function or solve a problem. The script describes how users might be prompted to engage with the first and second use cases of the app, indicating different functionalities or purposes the app can serve.

πŸ’‘Engagement

Engagement refers to the level of interest and involvement a user has with a product or service. In the video, it is mentioned that users become more engaged as they progress through the app's use cases, which is a key indicator of successful user retention and product adoption.

πŸ’‘Drop-off

Drop-off is the point at which users discontinue their interaction with a product or service. The script uses the funnel analogy to describe how users 'drop off' at different stages, indicating a loss of potential customers or a need to improve the user experience to retain them.

πŸ’‘Ideal Journey

The ideal journey is the most desired path a customer takes when interacting with a product, from initial awareness to full engagement. The script contrasts this with the reality that not all customers follow this path, emphasizing the importance of understanding and optimizing the customer journey to increase overall user satisfaction and retention.

Highlights

Funnel analysis represents the customer journey through a product.

Customers may download an app but not necessarily open it.

Users who open the app may not sign up immediately.

Some users explore features without signing up.

The sign-up process may require users to fill out a form and verify themselves.

After signing up, users might engage with the first use case of the product.

Users may be prompted to explore additional use cases after the first.

Not all customers follow the same path through the product.

The customer journey can be visualized as a funnel, with users dropping off at various stages.

The ideal customer journey is the complete path through the product.

Customers may drop off after downloading, opening, signing up, or trying out features.

The funnel narrows as fewer users complete the entire journey.

Only a fraction of users who download an app may use it as intended.

Understanding the customer journey helps identify drop-off points in the funnel.

Funnel analysis is crucial for improving user engagement and product design.

The transcript provides a detailed example of a customer's journey with a software app.

The example illustrates the different stages users may go through with an app, from download to full use.

Transcripts

play00:03

all right so funnel analysis is

play00:06

basically your customers journey how

play00:09

does tomorrow use the product I mean if

play00:13

you take just one customer a customer is

play00:15

likely to come open the product like

play00:20

open let's let's again take an example

play00:21

of a software order or an app so

play00:25

customer were generally download the app

play00:27

open the app sign up or just go through

play00:31

the app look at some of the features and

play00:33

then try to use some of the features

play00:36

that might require signing up and then

play00:39

they might sign up once they sign up

play00:40

then they might so then they fill up the

play00:43

form of signing up they probably

play00:45

validate them so verify themselves then

play00:48

this I now then after signing up they

play00:50

might go to that first use case that you

play00:52

might have then may be prompted for the

play00:55

second use case that you may have for

play00:58

the product and so on and so forth they

play01:00

are engaged right so this is the entire

play01:02

journey for one customer now typically

play01:06

what would you would see is that not

play01:09

every customer follows the same path

play01:12

some people will come download the app

play01:14

and not open some people will come

play01:16

download the app open it but not signup

play01:18

some people will sign up but then they

play01:21

do not try it out further some people

play01:25

will try out the first use case but not

play01:27

the second use and things like that you

play01:29

can think of it like a funnel that okay

play01:32

every user comes on top of the funnel

play01:34

the ideal journey is is the entire thing

play01:38

but then everyone does not follow so

play01:40

everyone does not follow the entire

play01:42

journey which means people keep dropping

play01:43

off at some point right so the parole

play01:47

starts getting shorter and shorter

play01:49

so if 100 people start at the top which

play01:52

means they download the app only 10 or

play01:55

20 might end up using the entire app the

play02:00

way you want it to be used

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Related Tags
Customer JourneyFunnel AnalysisApp UsageUser EngagementSign-Up ProcessFeature AdoptionUser RetentionConversion RateUser BehaviorProduct StrategyMarketing Insights