Analyzing Funnel Performance

Funnels

How to Create and Track Sales Funnels with ClickerVolt's Built-in Funnel Method:

How to Create and Track Sales Funnels with ClickerVolt Events:

Once your funnel is set up and collecting data, analyzing performance helps you identify bottlenecks, optimize conversion rates, and increase overall funnel efficiency. ClickerVolt provides detailed metrics for each funnel step.

Accessing Funnel Analysis

To view funnel performance metrics, navigate to the link reports for your funnel entrance link (the parent link at the top of your funnel). Funnel entrance links display a "Funnel Analysis" tab that shows:

Visual funnel tree with all connected steps
Conversion rates and drop-off rates at each step
Click-through metrics for the entire funnel path
Breakdown by dimensions: visitor segments (v1, v2, v3), countries, and devices
Toggle between click counts and conversion rate (CTR) displays

The Funnel Analysis tab provides a comprehensive view of your entire funnel performance in one place, making it easy to identify bottlenecks and optimization opportunities.

Key Funnel Metrics

The Funnel Analysis tab displays these key metrics for your entire funnel:

Step Conversion Rate

The percentage of visitors who complete each step. Calculated as: (Visitors to Step N ÷ Visitors to Step N-1) × 100. Shows you where visitors drop off in your funnel.

Overall Funnel Conversion

The percentage of initial visitors who complete the entire funnel. Calculated as: (Final Step Conversions ÷ First Step Clicks) × 100. This is your end-to-end conversion rate.

Drop-Off Rate

The percentage of visitors lost at each step. Calculated as: 100 - Step Conversion Rate. High drop-off indicates a problem with that specific step.

Revenue Per Visitor (RPV)

Average revenue generated per initial funnel visitor. Calculated as: Total Revenue ÷ First Step Clicks. Shows the monetary value of each funnel entry.

Identifying Bottlenecks

Look for steps with:

Conversion rates below 50% between steps (indicates major friction)
Significantly lower conversion than similar funnels (compare in Funnel Analysis)
Sudden drop-offs compared to previous or next steps (visible in funnel tree)
Suspicious traffic patterns or high bot activity (check device breakdown in Funnel Analysis)

Focus optimization efforts on the step with the lowest conversion rate first - fixing bottlenecks has the biggest impact on overall funnel performance. Use the dimension filters (v1, v2, v3, country, device) to segment your analysis and identify if specific traffic segments are causing the bottleneck.

Optimization Strategies

For Landing Pages (Step 1):

Test different headlines and copy
Improve page load speed
Add trust signals (testimonials, guarantees)
Simplify the call-to-action
Test different traffic sources

For Opt-in Forms (Step 2):

Reduce form fields to minimum required
Test different lead magnets
Add clear value propositions
Use A/B testing on form design

For Sales Pages (Step 3+):

Test pricing and offers
Add urgency and scarcity
Improve product presentation
Test different payment options
Add exit-intent popups

Comparing Funnels

If you have multiple funnels for different offers or traffic sources, compare them by viewing each funnel's Funnel Analysis tab:

Which funnel has the highest overall conversion rate? (shown at the top of the funnel tree)
Which funnel generates the most revenue per visitor? (compare across multiple funnel reports)
Are certain traffic sources better suited to specific funnels? (use v1/v2/v3 dimension filters)
Are certain countries or devices performing better in one funnel vs another? (use country/device filters)
Can elements from high-performing funnels be applied elsewhere?

Use the dimension filters to segment your comparison - for example, compare mobile performance across funnels, or compare how Facebook traffic (v1) performs versus Google traffic in different funnels.

Advanced Topics

Segmenting by Visitor Dimensions

Use the dimension filters in the Funnel Analysis tab to segment your funnel data by visitor attributes (v1, v2, v3), geographic location (country), or device type. This reveals performance patterns across different audience segments. For example, mobile traffic might convert at 15% while desktop converts at 35%, indicating an opportunity for mobile optimization.

Traffic Source Analysis

Track v1, v2, and v3 values to identify which traffic sources perform best in your funnel. For example, if Facebook traffic (v1=facebook) has a 40% conversion rate but Google traffic (v1=google) only converts at 20%, you can shift budget accordingly or optimize the lower-performing source.

Micro-Conversions with Custom Events

Use custom events (Events 1-10) to track micro-conversions within each funnel step, such as video views, demo requests, or engagement actions. While events don't appear directly in the Funnel Analysis tree, you can track them at the link level to understand which engagement actions correlate with funnel progression. These micro-conversions can predict final conversion likelihood.

Geographic Performance Patterns

Use the country dimension filter to identify geographic trends. Some offers convert better in specific regions. If you notice certain countries have significantly lower conversion rates, consider creating geo-targeted funnels with localized messaging, pricing, or payment options.

Device-Specific Optimization

Use the device dimension filter to compare mobile vs desktop funnel performance. If mobile traffic converts significantly worse than desktop (common in many funnels), consider: creating separate mobile-optimized funnels, simplifying mobile checkout flows, or adjusting your traffic strategy to focus on desktop users for that particular offer.