How Conversion Funnel Analytics Help Optimize & Boost Sales

A conversion funnel is like having a plan, but it doesn’t always guarantee results. To succeed, you need to optimize your funnel: make it smoother, faster, and more effective.

The first step is understanding where to make changes.

Over 70% of customers abandon their carts, which is a big issue. As a marketer, you need to find these leaks in your funnel.

Let’s discuss how to analyze your conversion funnel step-by-step and pinpoint areas for improvement to boost your sales.

What is a Conversion Funnel?

A conversion funnel helps you visualize the journey your customers take. It covers the process from first hearing about your product or service to actually buying it. 

It gets narrower toward the end because not everyone makes it all the way through.

There are many kinds of funnels: marketing funnels, sales funnels, click funnels, and more. They all have one thing in common: they get narrower toward the end.

Many people might visit the homepage of an e-commerce website, but only a few will reach the “Thank You” page after buying something.

A basic e-commerce funnel might look like this:

Homepage > category page > product page > cart > checkout > thank you page

What is Conversion Funnel Analysis?

Here you check how many people go through each step of the funnel. At each step, you see how many drop off. This helps you know where you’re losing potential customers.

Suppose you’ve launched a new marketing campaign for your SaaS company. In the first week, 100 users signed up for a free trial. 

Out of those, 60 reached the activation point, and the other 40 dropped off. Later, only 18 of the 60 users chose the premium plan.

From this example, we see:

• 100 users signed up for the free trial.
• 60% of them reached the activation point.
• Of those 60 users, only 30% subscribed to the premium plan.

For every 100 free trial users, you get about 18 paying customers or an 18% trial-to-paid conversion rate.

With this analysis, you see where things might be going wrong. Maybe you need to improve the onboarding process for new trial users, or maybe the pricing isn’t attractive enough.

How To Perform Conversion Funnel Analytics: Step-by-Step

To figure out how people move through your website and where they leave or make a purchase, follow these steps.

Focus on understanding the key concepts, your required actions, and the necessary tools for each step of the process.

Step 1: Map out the Customer Journey and Identify Touchpoints

Okay, let’s break down how to figure out where your customers are interacting with your brand. We’ll break this step into two sub-steps:

Define the Key Stages

Break down the customer journey into clear stages: Awareness, Interest, Decision, and Action. Think about what moves the customer to the next step. For example:

• Awareness: They see your ad, hear about you on social media, or find your article in search results.
• Interest: They visit your website or sign up for your newsletter.
• Decision: They compare your products, read reviews, and add items to their cart.
• Action: They go to the checkout page and make a purchase.

The spot where potential customers interact with your brand at each stage. Each touchpoint is a chance to connect and convince them to move forward.

For example, if a large percentage of your traffic comes from search results, focus on making your content valuable to the user. 

Consider a meal planning template as an example: it provides not only the templates themselves, but also instructions on using them and a free trial of their meal planning app. 

Try out Mapping Tools

Use tools like Miro or Lucidchart to lay out the journey visually with its touchpoints. This helps spot where you need to make improvements.

Take a look at the conversion funnel analysis from Lucidchart:

Source: Lucidchart

Need help understanding your customer’s journey and identifying their touchpoints? Reach out to CRO experts and master these skills. 

Step 2: Track Conversions and Watch User Behavior

To set up conversion points and observe user behaviors, you need to master basic analytics tools. This step is about getting comfortable with Google Analytics and Hotjar.

Set Up Conversion Points in Google Analytics

First, you need to understand Google Analytics better. Here’s how to set up and track conversion events:

• Go to your GA4 property and find the “Admin” gear icon in the bottom left corner.
• In the “Data Display” column, click on “Conversions.”
• If the event you want to track is already collected, mark it as a conversion. 
• Click “New Conversion Event” and enter the event name as it appears in the event data.

If it’s not set up yet, you’ll need to configure the event via Google Tag Manager or make code changes to capture the interaction.

Keep an Eye on User Behavior

Once you’ve figured out what you want people to do (like buy something or sign up), go to the “Reports” section and look at the “Conversions” part. 

Source: Analytify

Here, you can see how users interact with your touchpoints. Look at where users are converting and notice where they might be dropping off.

Utilize Event Tracking for Better Understanding

GA4 keeps tabs on how people interact with your website, like clicks and form fills. You can even track extras like specific button clicks.

Just use Google Tag Manager or tweak your website’s code. This is super helpful for figuring out if your pages are hitting the sweet spot with your visitors or if they’re getting overwhelmed. 

Let’s say you have a list of 40 awesome products to sell online, all neatly categorized. Tracking tells you if people read the whole list or if they jump straight to certain sections.

With this information, you can rearrange the content to highlight popular categories at the top or create separate content for them.

Step 3: Figure out where people are dropping out

Your sales funnel is like a staircase. You want people to smoothly climb each step, right? But sometimes they trip and fall!

We need to find those ‘tripping points’ in your online store.

• Use Google Analytics 4 (GA4): Go to “Explore” and find the “Funnel Exploration” tool.
• Track the steps: See how many people view a page, add something to their cart, and finally, buy it.
• Spot the drops: GA4 will show you where most people stop. Is it a specific page? A confusing step?
• Fix the problems: Once you know where people are dropping out, you can make things easier for them.

Source: Medium

Step 4: Look After Engaging Patterns

The heading says what we’re going to do in this step. Here, we’ll pay close attention to how people use your website.

Monitor User Interactions

First, watch how visitors use different parts of your website:

1. How they fill out forms.
2. Which buttons do they click?
3. How they move around the menus.

You don’t have to do this yourself. You can hire a marketing assistant to watch these interactions. So you’ll get ample time to focus on making important decisions.

Find Out What Users Love (and Hate)

Let’s figure out where people are most interested in your website.

Look for the click magnets: Which buttons are getting all the love?

See where people hang out: Are there pages where users spend a ton of time?

Pro tip:

Want people to stick around longer? Throw in some awesome videos! Check out this golf accessory review. They explain things with videos, which makes it way easier to understand.

Source: Breaking Eighty

Now, those clicks could mean two things:

• They’re super into it!
• They’re confused and clicking around, hoping something happens.

And if people scroll forever or pause a lot:

• Maybe they’re loving the content.
• Or they’re lost and can’t find what they need.

And if they bounce off a page super fast:

• The page might not be what they were expecting.
• It could be too complicated.

Basically, user behavior can tell you two different stories. Let’s figure out which one it is!”

Use Heatmaps to See How People Use Your Site

Tools like FigPii, Hotjar, and Crazy Egg create these cool visual maps that show where people click, scroll, and even pause on your website.

Find the Hot Spots. These maps help you see where people are most interested and where they might be getting stuck.

Understand their journey. Watch how people interact to figure out what it all means. Use this info to make your website easier for people to use and engage where you want them to.

Step 5: Understand User Flows and Session Recordings

In the last step, we looked at how users behave on a specific page. Now, let’s see how they move through your website.

Watch Session Recordings

Use FigPii to watch session replays. These are recordings of individual user sessions on your website. They capture everything from clicks and scrolls to typing and navigation. 

Search for common paths users take. Are they straightforward, or do users seem to backtrack or get lost?

Notice Hesitation Points: 

Look for moments where users pause for a long time. This might mean they don’t know what to do next because a button isn’t clearly labeled or the next step isn’t obvious.

Identify Sticking Points: 

Watch for places where users repeatedly get stuck. This could be forms that are too long, menus that are hard to navigate, or interactive elements that don’t work as expected.

Observe Abandonment: 

Notice where and when users leave your site. High abandonment rates in certain areas might be due to slow-loading pages, confusing layouts, or a difficult checkout process.

For example, on the Transparent Labs Whey Protein product page, there’s a 15% discount offer in a small call-to-action at the bottom center. 

Source: Transparent Labs

There’s also a 10% off button on the left side of the product image. Will users easily see it? Will this product get more sales if the CTA is bigger or placed elsewhere?

They also show a large popup discount as soon as you land on the site. Use insights from session recordings to see if your touchpoints are encouraging users to take action.

Step 6: Group Customers by Conversion Points

You’ve analyzed your page and website. Now, let’s focus on your visitors. We’ll group them to see which ones convert better.

Group Customers by Funnel Stages

Categorize your customers based on the stages they reach in the sales funnel. Do this by setting up audiences based on their interaction levels:

• Users who visited product pages but didn’t add items to their cart (Awareness).
• Users who added items to their cart but didn’t proceed to checkout (Interest).
• Users who reached the checkout page (Decision).
• Users who completed a purchase (Action).

Source: Monster Insights

Analyze the Segments

Next, dive into the behavior of each group:

Examine Key Metrics: 

Look at session duration, pages visited, and bounce rates. For example, if users at the Decision stage spend a lot of time on the checkout page, it might mean issues with the payment process.

Identify Conversion Drivers: 

See what actions lead to conversions. This could be interactions with specific content, like watching a product video or reading customer reviews.

If any of these actions are vital for conversions, place them prominently on your site. Let’s say that if a real-life application video thumbnail quickly shows your product’s value, make sure it’s visible.

Source: GetSafe

Draw Comparisons

Use the “Compare” feature in Google Analytics to see differences between segments. This will show what motivates users to move from one stage to another.

Identify why some users convert while others drop off. Maybe those who convert often visit your FAQ page, suggesting that providing more information could help others.

Apply Insights

Refine Content and Processes: If certain content or pages consistently make higher conversions, make them more prominent or accessible to all users.

Step 7: Improve UX Design and Test Changes

You’ve gathered data to see where and why users drop off. Now, let’s fix these issues. Here’s how:

Make Design Changes

Use UX tools like Figma or Sketch to improve buttons, menus, forms, and page layouts. Make them more intuitive and engaging. 

For example, if many users abandon their carts, simplify the checkout process. Remove unnecessary questions or steps.

Here’s an example from Deseret Biologicals supplements. After adding products to your cart, they prompt you to log in: a common drop-off point. If logging in isn’t needed, don’t require it.

Source: Digestive Warrior

Next, do an A/B test to see how new designs perform against the current ones. Use Optimizely or Google Optimize to test different button colors, page layouts, or calls to action. 

Find out which versions engage users better or lead to more conversions. Once you have a design that works better, apply these changes across your site.

What to Avoid in Conversion Funnel Analysis

There are some common pitfalls that can affect clear  and meaningful insights of your funnel analytics:

Ignoring Small Steps

Don’t just focus on big goals (macro conversions) and ignore small steps (micro-conversions). These small actions are important to understand user behavior at different stages.

Not Segmenting Users

Not segmenting your audience can hide important differences in user behavior. Different groups have different needs and preferences. Analyze for different demographics and sources.

Using Only Averages

Averaging conversion rates across the funnel can hide valuable information. Analyze conversion rates at each stage separately to find specific issues and areas for improvement.

Only Looking at Successes

Don’t just look at completed conversions. Also, study users who didn’t convert to find why they dropped off.

Forgetting Seasonal Effects

External factors, like holidays, affect behavior. Ignoring these factors can lead to misinterpreting data. Always consider context and external influences when analyzing your funnel.

Skipping Regular Reviews

Conversion funnel analysis should be ongoing. Regular reviews and updates help you adapt to changes in user behavior and market dynamics. Neglecting this can lead to outdated insights.

Fixing Without Root Cause Analysis

Before making changes, understand the root causes. Thorough analysis helps address problems effectively.

End Note

When applying these strategies, always ask yourself: Am I focusing on the right area that needs improvement or just the easiest one to fix?

Conversion funnel analysis is crucial for data-driven marketing and conversion rate optimization. To run a professional funnel analysis:

• Design appropriate funnel stages based on your goals.
• Find tools that fit your business needs.
• Choose the right metrics to track.
• Collect data and examine it to find pain points.
• Implement optimizations and repeat the analysis regularly.

Now you know all the ins and outs of a conversion funnel and how to optimize it for the best results. Follow the steps accordingly and watch your sales grow up high. Cheers!