Understanding Video Analysis
**If you need help finding your video's analytics, click here: Where do I find video analytics? **
Analysis of the Views Over Time Graph
The views over time graph represents the number of viewers watching the video at different times. It helps to understand how the audience interacts with the content, showing whether people watch to the end or abandon it at certain points.
What is Audience Retention?
Audience retention measures how long people keep watching your video before leaving. It is expressed as a percentage, indicating how many viewers are still watching at any given time.
How to interpret retention?
High retention: If the majority of the audience continues watching until the end, this indicates that the content is engaging.
Low retention: If there are sharp drops in viewing, it may be that the video is too long, the content is not interesting or the beginning did not hold their attention.
Retention Details
By hovering your mouse over the graph, you can view detailed information about video retention at each specific point in time. This data includes:
Time β±οΈ β The exact moment of the video being analyzed.
Views π β The number of people who were watching at that point in the video.
Retention (%) π β The percentage of viewers who continued watching up to that point.
How to interpret this data? ****
- If retention is high for a certain part of the video, it means that the audience has remained interested.
- If there is a significant drop, it could indicate a point where viewers have lost interest and left the video.
- By comparing different moments on the graph, you can identify patterns and adjust your videos to keep your audience engaged for longer.
β Tip: A good strategy to improve retention is to start the video with an eye-catching introduction and keep the pace dynamic, avoiding long moments without action or relevant information.
Analysis and Graphs
The platform features graphs to make it easier to see the most important metrics on video performance. Available pages include:
- πΊοΈ Regions β Shows which countries most viewers come from.
- π± Devices β Displays the distribution of access by smartphones, desktops, tablets and smart TVs.
- π Browsers β Indicates which browsers (Chrome, Edge, Firefox, etc.) were most used to watch the video.
- π» Operating System β Reveals whether viewers accessed via Windows, macOS, Android, iOS, among others.
- π΄ Live β Displays data in real time, showing how many people are watching and other instant metrics.
Views
The number of views represents how many times the video was loaded by unique users. This data is essential for measuring the initial reach of the content.
Why is this important?
- Reach Measurement: Shows the volume of people who reached the video page.
- Interest Analysis: A high number of views indicates that the video is attracting clicks and visits.
- **Basis for Other Metrics: **This is the starting point for analyzing other rates such as Play Rate and Conversion.
Total Plays
The Total Plays represents how many times the video was actually started by users - that is, when they clicked the βplayβ button.
Why is this important?
- **Intentional Action: **Unlike viewing, play indicates a real interest in consuming the content.
- **Comparison with Views: **Helps to understand whether the thumbnail, title or first impression are good enough to stimulate play.
- **Initial Quality Metric: **A low number can indicate that something is driving visitors away before the video even starts.
Play Rate
The Play Rate is the percentage of views that turn into plays of the video. It is calculated as: (Total Plays / Total Views) Γ 100
Why is this important?
- **Page Efficiency: **Shows whether visitors are convinced to watch as soon as they arrive on the page.
- **Initial Attraction Indicator: **A low rate may suggest that the page needs visual or copy improvements.
- **Conversion Optimization: **The higher the Play Rate, the more people are likely to be impacted by your message.
β ** **Tip: Test different thumbnails and eye-catching text on the page to increase the Play Rate.
Engagement
Engagement shows, on average, how long users watch the video. High engagement indicates that the content is managing to hold the audience's attention.
Why is this important?
- **Real Interest Measurement: **Goes beyond the play - it shows whether people actually consume the content.
- **Strategic Adjustments: **Helps identify the weakest passages and optimize the script.
- **Continuous Improvement: **Monitoring engagement over time helps you create more impactful videos.
Pitch Retention
The Pitch Retention shows how many viewers watch up to the moment of the sales pitch. This metric is crucial in VSL videos.
Why is this important?
- Interest Assessment until Offer: If few reach the pitch, it's a sign that the video needs more pace or relevant content before the offer.
- **Indication of Conversion Potential: **The more people who come to the pitch, the greater the chance of conversion.
- **Script Adjustments: **Allows you to work better on the introduction and the triggers that keep the audience until the key moment.
Conversions
Conversions represent the total number of sales or actions completed after watching the VSL.
Why is this important?
- Final Success Metric: This is the result that really matters at the end of the journey.
- **Effectiveness Analysis: **High conversion confirms that the message, pitch and proposal are aligned.
- **Strategy Validation: **Combines all the other metrics to measure the actual performance of the funnel.
Conversion Rate
The Conversion Rate shows the percentage of plays that resulted in conversions. It is calculated as follows: (Conversions / Total Plays) Γ 100
Why is this important?
- Video and Offer Quality: A high rate shows that those who watch to the end are likely to buy.
- Basis for Optimization: Helps test variations of the pitch and offer.
- Success Benchmark: One of the most direct metrics for evaluating VSL performance.
Revenue Generated
The Revenue Generated represents the total value obtained through the conversions coming from the VSL. This information is received automatically via integration (webhook).
Why is this important?
- **Financial Return Measurement: **Shows the direct impact of VSL on turnover.
- **Basis for ROI and Planning: **Helps calculate return on investment in media and production.
- **Decision-making: **With this data, you can reinvest with greater certainty.
β ** **Tip: To activate this metric, integrate the platform correctly with your sales system. Consult the [integration documentation] or contact support.
Average Watch Time
The Average Viewing Time indicates, on average, how long viewers watch the video before leaving. This data helps to understand the level of audience engagement and the quality of the content presented.
For example, if a video is 3 minutes long, but the average viewing time is 1 minute and 30 seconds, this means that the majority of viewers leave the video before halfway through.
Why is this important?
- **Audience engagement: **The longer the average time, the greater the audience's interest in the content.
- Identification of drops: If the majority of viewers leave early, it could be a sign that the introduction needs to be more captivating.
- Video optimization: Based on the average time, you can adjust the pace of the video and test new approaches to keep the audience engaged for longer.
β Tip: To improve the average viewing time, start with an impactful hook and keep the content objective and engaging.
Most Accessed Country
The Most Accessed Country represents the geographical location of the majority of viewers who watched the video. This information is useful for understanding where your content has the greatest reach and engagement.
Why is this important?
- Content adaptation: If a specific country has more views, it may be interesting to adapt the language, subtitles or themes of the video for that audience.
- Promotion strategies: Knowing where your video is most watched helps you target marketing campaigns and ads to strategic regions.
- Trend analysis: Interest can vary according to culture, time of day or local preferences. Identifying these patterns allows you to create more relevant content.
Most Used Device
The Most Accessed Device indicates which type of device β desktop, smartphone, tablet or smart TV β was most used by viewers to watch the video.
### Why is this important?
- Content optimization: If the majority of accesses come from mobile devices, it is essential to ensure that the video has a good experience in this format, with legible subtitles and visual elements adapted for smaller screens.
- Engagement strategies: Desktop users may be in a different context from those who watch on mobile. If your audience consumes more on mobile, short, direct content can be more effective.
- Improved promotion: Knowing which device is used most helps you choose the best marketing channels. For example, if access comes mainly from mobile, investing in social networks can bring better results.
β ** **Tip: Always test the display of your video on different devices to ensure an optimized viewing experience for all audiences!
Most Used Checkout
The Most Used Checkout indicates which system or tool was most used by buyers to finalize the purchase after the VSL.
Why is this important?
- Preference Identification: Shows which payment platform your audience trusts or prefers the most.
- Experience Optimization: Helps to invest in improvements to the most used tool.
- **Checkout A/B Testing: **This serves as a basis for comparing performance between checkouts and optimizing conversion rates.
Reset EstatΓsticasβ οΈ
The option Reset Statistics allows you to reset all the viewing and engagement data for a video, such as the number of hits, average viewing time and retention.
βAttention: This action is irreversible. Once reset, the statistics cannot be recovered. Make sure you really want to delete the data before proceeding.
Still have questions?
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Updated on: 05/12/2025
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