This guide explains the meaning of each metric you’ll see when viewing your Funnel, Website, QR Codes and Webinar Analytics.
Use these definitions to understand your performance, improve engagement, and optimize conversions.
TABLE OF CONTENTS
- Page Views
- Opt-ins
- QR Scans
- Sales – Orders
- Sales – Rate
- Sales – Quantity
- Sales – Amount
- Average Cart Value
- Webinar Stats
- Hosted Video Stats
- Video Engagement Graph
- Performance Indicators
Page Views
Tracks how many times your funnel or website pages are visited.
| Type | Description |
|---|---|
| All | All page views — includes every individual visit, including repeat visits. |
| Unique | Unique visitors that visited the page at least once. |
Example:
If one person visits the same page twice → All = 2, Unique = 1.
Opt-ins
Tracks users who express interest in your offer.
| Type | Description |
|---|---|
| All | Number of users who opted in for the product, bought the product, submitted a form/survey, or booked an appointment through a calendar. |
| Rate | “All Opt-ins” divided by Unique Page Views. (Opt-ins ÷ Unique Page Views × 100) |
Example:
50 opt-ins from 200 unique page views → Rate = 25%
QR Scans
Measures QR code engagement from your funnel or landing pages.
| Type | Description |
|---|---|
| QR Scans | Total number of QR scans. |
| Unique QR Scans | Unique visitors who scanned the QR codes. |
Example:
If 3 people each scan the same code twice → QR Scans = 6, Unique QR Scans = 3.
Sales – Orders
Counts how many times purchases occurred in your funnel.
| Level | Description |
|---|---|
| Funnel Step Level | Number of sale orders that happened — how many orders were placed (does not include product count or quantities). |
| Individual Product Level | Number of times a specific product has been purchased. |
| Bump Product | Number of times the bump product was purchased. |
Example:
30 total orders placed in a step; 18 included Product A, and 5 included a bump offer →
Funnel Step Level = 30, Individual Product Level = 18, Bump Product = 5.
Note:
Bump product data classification began on April 27, 2023, 12:00 PM GMT.
Before that date, bump purchases appeared under individual product-level stats.
Sales – Rate
Shows conversion from page views to purchases.
| Level | Description |
|---|---|
| Funnel Step Level | Number of times any product is purchased divided by Unique Page Views. |
| Individual Product Level | Number of times a specific product is purchased divided by Unique Page Views. |
| Bump Product | Number of times the bump product is purchased divided by total orders placed for the step. |
Example:
20 bump purchases out of 100 total orders → Rate = 20%
Note:
Bump product rate classification also began on April 27, 2023, 12:00 PM GMT.
Before this, bump stats were counted under individual product-level data.
Sales – Quantity
Shows total items sold.
| Level | Description |
|---|---|
| Funnel Step Level | Total quantity of all products purchased in this funnel step. |
| Product Level | Total quantity of the specific product in that funnel step. |
Example:
10 orders with 3 items each → Quantity = 30
Sales – Amount
Tracks total sales revenue generated.
| Level | Description |
|---|---|
| Funnel Step Level | Total value of all products purchased in that funnel step. |
| Product Level | Total sale value of a specific product in that funnel step. |
Example:
Product A sold 10 times for $50 each → Amount = $500
Average Cart Value
Shows the average revenue per order.
| Level | Description |
|---|---|
| Funnel Step Level | Total Amount ÷ Total Orders. |
| Product Level | Not applicable. |
Example:
$1000 in total sales from 20 orders → Average Cart Value = $50
Webinar Stats
Track how users register for and attend your webinars.
| Metric | Description |
|---|---|
| Registrations | Number of unique users registered for the webinar. |
| Attendees | Number of unique users who attended the webinar — i.e., those redirected to the live webinar link via the broadcast page. |
| Recurring | Total registrations across all sessions for recurring webinars. |
| Repeat Attendees | Number of unique users who attended more than one webinar session. |
| Avg Attendees | Average number of attendees per session (Total Attendees ÷ Total Sessions). |
| Conversion % | Percentage of attendees out of total registrations for a webinar session (Attendees ÷ Registrations × 100). |
| Avg Conversion % | Average conversion rate across all sessions. |
| Total Sessions | Total number of sessions conducted within the selected time frame, including cancelled sessions due to recurring changes. |
Example:
If 500 people register and 300 attend → Conversion % = (300 ÷ 500) × 100 = 60%.
Hosted Video Stats
Measure video interaction and engagement across your hosted webinars.
| Metric | Description |
|---|---|
| Video Plays | Number of unique users who played the webinar video. |
| Video Pauses | Number of unique users who paused the video at least once. |
| Average Time | Average video progress per user. If a user watches multiple times, their highest progress % is used. |
| Drop-off Spike | Percentage of viewers who stop watching at the most common drop-off point. |
| Completion % | Percentage of users who completed the video out of total plays. |
Example:
If 200 users play the video and 120 finish watching → Completion % = (120 ÷ 200) × 100 = 60%.
Video Engagement Graph
Visualize where attendees stop watching during a webinar.
| Metric | Description |
|---|---|
| Video Progress % | User video progress measured at every 10% interval (0%, 10%, 20%, ... 100%). |
| Number of Users | Number of users who stopped watching at each interval. |
Example:
If most users drop off at 40% progress → focus on improving engagement during that section of the webinar.
Performance Indicators
What to Aim For
Growing unique visitors and registrations.
High webinar attendance and repeat participation.
Strong average watch time and completion percentage.
Consistent or improving conversion rates.
Healthy average cart value and high revenue per view.
Performance Warning Signs
Declining unique traffic or registration numbers.
Low opt-in or sales conversion rates.
Early video drop-offs or low completion percentages.
Small average order values or poor upsell performance.
Frequent playback or device-specific issues.