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Insights

Gain a deeper understanding of your Bambuser shows with detailed analytics on audience interaction, key performance indicators, and their impact on your business outcomes.

How To Get Started

  1. In the Live product, navigate to Stats in the left-hand menu and you'll find Insights.
  2. Set Up Conversion Tracking: Before you can begin tracking your Conversion Data, ensure that Conversion Tracking is implemented. Learn more about setting it up here.
  3. Explore the Dashboard: The Insights section is divided into three tabs:
  • Summary: This tab will offer a high-level overview of your key performance indicators, providing a quick snapshot of your Live sessions.
  • Engagement Insights: This tab will focus on metrics related to audience interaction and engagement during your Live sessions, such as viewership, participation, and reactions.
  • Influenced Sales and Activity: This tab will provide data on how your Live sessions contribute to sales and other key activities.

Insights can be found by clicking Stats in the left-hand menu

Visual of Insights - Summary

For a full view of the page, please head over to your BamHub

 

Visual of Insights - Engagement insights

For a full view of the page, please head over to your BamHub

 

Visual of Insights - Influenced sales and activity

For a full view of the page, please head over to your BamHub


What is a Player Session?
A player session tracks a single user’s continuous viewing experience, starting when they load the video player and play a video (manually or via autoplay). It ends after 15 minutes of inactivity, ensuring pauses or breaks don’t inflate metrics—giving you a true picture of engagement.

What Counts as a View?
A view means:

  • A session lasting at least 3 seconds
  • A session that is not FAB previews (short pop-up teasers that don’t reflect real watching). This filters out accidental clicks or quick page loads, so you’re only tracking genuine engagement.
     

Metrics that can be found in Insights

 

Active shows

Number of unique shows that has played during the selected time period

Engagement rate

Total engagement / Total views

Where Total engagement = product clicks + shares + likes

Avg. Viewing time (Minutes)

Avg viewing time in minutes per video session

Total Impressions

Total number of player sessions

Total views

Total number of player sessions that has played for at least 3 seconds

Total Views out of Total Impressions

Total Views / Total Impressions

Total Product Clicks

Total number of sessions where at least one product has been clicked

Total Product clicks out of Total views

Total Product Clicks / Total Views

Total Add to cart

Total number of sessions where at least one product has been added to cart

Total Add to cart out of Total views

Total Add to cart / Total Views

Views by device type

Number of views by device type in %

Views by Traffic Acquisition

Traffic Acquisition is parsed from utm_source (see detail explanation below).

Views by country

The number of views in % split by country name given in the player session. Null becomes Unknown

Avg. Product clickthrough rate

Number of views with at least one product click / Total number of views

Avg. Add to cart clickthrough rate

Number of views with at least one product added to cart / Total number of views

Engagement rate

Number of views with at least one engagement (i.e clicked on share, like, product etc) / Total number of views

Likes

Total number of views with at least one like

Share clicks

Total number of views with at least one share click

Comments

Total number of views with at least one comment made

Influenced sales

The total order value is attributed to the last Live video that the user has seen within the past 30 days.

Days to order from having watched a show

The number of days between the date when the order was made, and when the last show was watched. 0 = same day. The histogram in Sales Performance shows the number of orders in the y axis and the days to purchase in x axis.

Sales by day of week

The total sales aggregated by day of week where 1 = Monday and 7 = Sunday

 

UTM Source Categorization Explained

To help you better understand where your traffic is coming from, we automatically categorize your UTM sources into easy-to-understand marketing channel groups. This simplifies your reporting and helps you measure performance across key marketing activities.

Here's how it works:

  • Social Selling: If the UTM source is tagged as bambuser, we recognize this as traffic from your Bambuser Social Selling experiences.
  • Social Media Platforms: We detect and group common sources like:
    • Facebook (facebookfb)
    • Instagram (instagramig)
    • TikTokSnapchatPinterestYouTube
    • If you use broader terms like metafacebook-instagram, or fb/ig, we group this under Meta. 
  • Email & Messaging: Traffic from email campaigns or customer messaging platforms (e.g. KlaviyoAttentiveEmarsysIterable, etc.) is grouped as Email & Messaging.
     
  • Search Engines: We identify visits from Google and Bing and group them under Search Engines.
     
  • Affiliates & Partners: Traffic from affiliate networks or partner platforms (like AwinImpactCriteo, etc.) is categorized as Affiliates & Partners.
     
  • Owned Media: If the source indicates internal campaigns or company-owned placements (e.g., newsletters, in-app messages, branded pages), we group these under Owned Media.
     
  • Paid Media: If the source includes "paid", we classify it under Paid Media.
     
  • Direct Traffic: If no UTM source is provided, we assume the traffic came Directly (e.g., someone typed your URL manually or clicked a bookmark).
     
  • Other: Anything that doesn’t match the above categories falls under Other for now.