Trying to conduct a conversion funnel analysis to find out why your sales conversion rates are still not up to the mark? You’ve come to the right place!
Conversion funnel analysis tracks a customer’s journey from the initial point of contact to the final conversion point. It is an essential process to get the necessary insights for conversion rate optimization and your SaaS product growth.
In this article, we will look into the ins and outs of the conversion funnel and how to analyze and optimize it.
Let’s start!
TL;DR
- A conversion funnel is a journey that users take from initial awareness to converting into paying customers.
- Conversion funnel analysis tracks user behavior and identifies drop-off points to understand customer journeys, areas for improvement, and friction points.
- It helps you identify where customers convert and where they drop off, optimize conversion rate, and sync marketing and product efforts.
- You can conduct a conversion funnel analysis by:
- Defining the customer journey and mapping out touchpoints to understand how customers move through the funnel.
- Setting up custom conversion events to track the customer experience and progress.
- Using feature heatmaps to get better insights into the feature usage.
- Pairing feature heatmap analysis with session recordings to understand the friction points in the user experience.
- Segmenting customers based on their various conversion points and taking strategies for those segments.
- Using funnel analysis tools to visualize data and make your funnel analysis more effective.
- With its wide range of features, Userpilot is the perfect choice for conversion funnel analysis.
- Userpilot offers real-time analytics, segmentation, funnel analysis, and A/B testing features to optimize the user experience and improve conversions. Book a demo to see it in action.
What is a conversion funnel?
A conversion funnel (also known as the sales funnel) represents the journey that users take from the initial awareness of a product or service to the ultimate desired action of converting into a paying customer.
Funnel analysis in Userpilot
What is a conversion funnel analysis?
Conversion funnel analysis examines the specific steps that potential customers take within a conversion funnel. It can help you identify where your potential customers convert and where they drop off.
Conversion funnel analysis example
Suppose your SaaS company launched a new marketing campaign for a product line. In the first week, 100 users signed up for a free trial. Then 60 reached the activation point, and the remaining 40 dropped off. Later on, only 18 of the 60 users chose the premium plan.
Based on the data from this example, we can see:
- 100 users took the free trial.
- 60% of the 100 users reached the activation point.
- Of the 60 users, only 30% subscribed to the premium plan.
For every 100 free trial users, you will have approximately 18 paying customers or an 18% trial-to-paid conversion rate.
What are the benefits of conversion funnel analysis?
Conversion funnel analysis can help you drive more revenue and growth by improving the customer experience and conversion rate.
Track user behavior and identify drop-off points
One of the key benefits of conversion funnel analysis is you can easily track user behavior and identify drop-off points. It helps you get a crucial advantage in understanding the customer journey and identifying areas for improvement.
You can gain valuable insights into how customers interact with your product by tracking user behavior at each conversion funnel stage. It includes understanding customers’ product usage, actions, and drop-off points in the conversion funnel. Armed with this data, you can begin to identify friction points and the reasons behind them.
Improve funnel metrics and optimize conversion rate
So what is your conversion funnel analysis telling you? To have a better understanding, you can track funnel metrics, like trial-to-paid conversion rate, etc., to identify the underperforming funnel stages and the issues. After identifying them through conversion funnel analysis, it is easier to start working on them.
Suppose you’ve noticed many users dropping off at the checkout stage. You may then streamline the process to make purchase completion easier and improve your sales conversion rate.
An improved conversion funnel helps customers easily move through each stage of the funnel until they convert into paying customers. It also begins the process of retaining the customers longer with a long customer lifetime value. This conversion funnel optimization can help you secure more repeat customers, which is critical for SaaS companies.
Sync marketing and product efforts
Conversion funnel analysis can help you align your product and marketing efforts to bring better results. You can determine the effectiveness of your marketing efforts by analyzing the conversion and marketing funnel. It can help you determine effective marketing strategies and continue them to optimize the MQL to SQL conversion.
The product teams can also work to create a more seamless user experience by understanding the areas for improvement in the funnels. Therefore, conversion funnel analysis can create a positive feedback loop where marketing efforts and product development work together to drive growth and increase revenue.
How to conduct a conversion funnel analysis?
Let’s see how you can conduct a conversion funnel analysis in detail.
Define the customer journey and map out touchpoints
It is critical that you define the customer journey with all touchpoints to track them effectively for a successful conversion funnel analysis. The customer journey map typically includes several stages: awareness, consideration, decision, and retention. Each stage has specific touchpoints that customers interact with.
You should create a customer journey map to see how customers move through the conversion funnel stages, how often they reach the AHA! moment, and what touchpoints they encounter.
Understanding the customer journey and touchpoints can help you identify which stages and touchpoints need improvement to optimize your conversion funnel.
Customer journey map template from Miro
Set up conversion events and track the customer experience
Setting up and tracking macro and micro conversion events can help you gain insights into how customers progress. But it’s also important to consider that different funnel stages may require different conversion events based on your target audience and their level of engagement.
After tracking the customer interaction, you will better understand who completes the goals (like subscription purchases) and who drops off. The drop-offs are important hints for possible friction points in your customer journey.
So once you have identified the customers dropping off, you should dig deeper into the data to find possible friction points. Friction points can give you valuable information on what improvement customers need in your product and customer experience to perform your desired actions.
You can use a product growth tool like Userpilot to set custom events without coding to track important funnel stages.
Event tracking in Userpilot
Use feature heatmaps to see how customers interact with features
Feature heatmaps can be a valuable tool to make your funnel conversion analysis more granular. It lets you see which features your customers over or underutilize and make data-driven decisions on where to focus development efforts.
Feature heatmap analysis lets you identify which features customers engage with the most and how they interact. This feature usage insight can help you optimize the user experience and improve the overall performance of the SaaS platform.
When you understand customers’ feature usage, you can easily identify which features significantly impact conversions. You should then prioritize your efforts accordingly and make the important features easier for your customers to use.
Feature heatmaps – Userpilot
Pair heatmaps with session recordings to understand where customers drop off
Session recordings are video recordings of a user’s session on your app or product. By watching these recordings, you can see exactly how customers interact with your product, where they encounter problems, and how they navigate through the funnel.
Heatmaps are great for visualizing customer actions, but pairing them with session recordings can do more for an effective conversion funnel. Pairing session recordings with heatmaps offers a deeper understanding of customer behavior and drop-off reasons at specific points. Then you can identify the pain points more precisely and take action to eliminate them.
This is how session recording looks in Hotjar.
Session recordings – Hotjar
Segment customers based on conversion points
Segmentation is an integral part of conversion funnel analysis. It allows you to identify patterns in customer behavior and track how customers progress through the funnel.
You should find out the key conversion points in your company’s conversion funnel. Then you can group customers based on conversion points, like trial sign-up, purchase, etc. You can have customer segments like trial users, paying users, new users, activated users, power users, etc.
Customer segmentation can help you better understand the behavior of each group and tailor your strategies accordingly. For instance, if free trial users drop off at a particular point in the funnel, you can offer additional resources to encourage those users to convert.
You should also prioritize determining how the conversion funnel looks for your power users. Using this data, you can learn what worked for these loyal customers and use the formula to improve the funnel for other users.
Customer segmentation – Userpilot
Use a funnel analysis tool to visualize the data
You need to use a funnel analysis tool, like Userpilot, to make sense of the data you acquire. A funnel analytics tool can help you visualize your data and make the funnel analysis more effective.
Using a funnel analysis tool allows you to combine all the data from different sources in one place. It helps you easily analyze and draw insights from the data and identify the issues in the conversion funnel. A funnel analytics tool lets you pinpoint the parts of your conversion funnel where customers drop off and take steps to optimize those areas.
It can also help you create reports to offer an in-depth understanding of how customers interact with your SaaS business.
Funnel analysis in Userpilot
How can Userpilot help you track the conversion funnel and increase conversions?
Userpilot is a powerful product adoption platform that helps you optimize the user experience and drive conversion by tracking user behavior and providing actionable insights. It can help you track the conversion funnel and visualize the user journey from the initial sign-up to the final conversion.
Userpilot offers 3 pricing plans, Starter, Growth, and Enterprise, starting at $249/month. It also offers a free trial and demo to help you get started without any commitment.
Let’s look at some Userpilot features in detail.
Get real-time analytics on product usage
Userpilot offers real-time analytics on product usage to help you gain valuable insights into user behavior. Its no-code, point-and-tag editor lets you create and track combinations of distinct in-app events. You can monitor user behavior and analyze custom events from a new dashboard to better understand the conversion funnel.
Userpilot’s analytics allows you to filter user activity by segment, company, and time period. It helps you segment users based on their behavior and dive deeper into the segments. Then you can identify power users, track customer journeys, and tailor your strategies to specific user groups.
Event trend overview – Userpilot analytics
Build segments with powerful filtering criteria
Userpilot lets you build segments with powerful filtering criteria and create custom experiences tailored to your users. It has six different criteria options to help you slice and dice specific user segments to target them more effectively.
Advanced segmentation in Userpilot
The six criteria are:
- User data (including name, ID, plan, device type, sign-up date, etc.)
- Company data
- Individual feature usage
- Pre-existing segments
- Engagement profiles (including UI-patter specific, like ‘in progress’ checklists)
- User feedback
You can identify user segments based on their engagement with specific product features. It helps you determine which features are being used most frequently, allowing you to target the most engaged users.
You’ll also be able to instantly target a segment of users that might have complained about a specific bug via a microsurvey and directly inform them after the fix.
Analyze user paths and build funnels
Userpilot’s funnel reports let you see which pages or actions most users get stuck on. This helps you identify roadblocks or leaks that could be reducing the effectiveness of your user funnels. You can track events, pages, or engagement with content.
Additionally, the breakdown tab of funnel reports lets you visualize data based on which operating system, device type, or browser your users are on. You’ll also be able to filter breakdowns with more granular details such as country, signup date, or even user IDs.
Funnel analysis breakdown
Run A/B tests to optimize the funnel
Conversion funnel optimization requires continuous testing and product experimentation to improve customer engagement and retention. Userpilot makes it easy to run A/B tests to identify the most effective versions of your experiments.
With built-in A/B testing for flows, you can quickly iterate and explore different variations based on user behavior. You can also measure the impact of each variation on key metrics like activation, retention, and revenue.
A/B test – Userpilot
Conclusion
Conversion funnel analysis is the key for SaaS businesses to increase conversions and generate more revenue. It can help you understand what is working and what needs further attention. So you get to bring out the highest potential from your product and customer experience and convert more customers.
Want to get started with conversion funnel analysis code-free? Get a Userpilot Demo and see first-hand how you can improve conversion rates.
