Using Analytics Labs


Analytics Labs | Overview

JW Analytics Labs is a sandbox environment with the goal of creating deeper, more insightful and actionable reports. We’re here to answer your questions - your feedback and requests will guide the direction of Labs experiments. Each experiment focuses on surfacing new looks of your data by combining it with other data sets, generating new metrics, or testing new technology features. We encourage you to explore the experiments, leave us feedback via the surveys and come back often as we are constantly updating our Labs environment.

Table Of Contents


Analytics Labs | Content Score

Content score is a metric that allows you to easily view and compare the performance of all your media. By comparing how enticing a video is (Play Rate*) with how engaging that particular video is (Complete Rate*), publishers can identify audience trends and glean actionable insight into their content strategy.

What questions does Content Score answer?

  1. How is all my content performing?

  2. What content is enticing (high play rate) and what is engaging (high completion rate)

  3. Are there trends between title names, tags, playlists, thumbnails?

  4. Any groupings by page location, social references or ad setup?

  5. How does this compare with the JW Network?

  6. How can we improve?

How to use Content Score (Graphical view)

  1. Take a look at the graph, which shows your media performance over the last 10 days

  2. Filter on Plays, Embeds and Content Length to group specific media and uncover trends; don’t forget to click apply

  3. Highlight low-performing content and investigate further with segmentation or the content detail page

  4. Explore, experiment and check back to see results

How to use Content Score (Table view)

  1. Organize your media by the filters to see top performing content

  2. Use the text filter to show Media with matching texts in the title; Text filtering doesn’t work when Column or Table filters are applied, remove them to text filter

  3. Highlight content and investigate further with segmentation or the content detail page

  4. Explore, experiment and check back to see results

  5. Compare values with the JW Networked sample data as a reference point

*Play rate =Plays/Embeds, Complete rate = Completion rate >75%

** Video durations; SHORT = under 4 mins, MEDIUM  =  4-20 mins, LONG = over 20 mins

 

Ways to increase Content Score


Note: JWPlayer labs and its associated data are experimental in nature and may experience variances, long load times and downtime. If you're seeing 'no data' in your JW Player analytics, and your content is not hosted with JW Player, be sure you've followed the instructions for registering your external URLs to get Media IDs.

                                                                                                                                                                       


Analytics Labs | Revenue Calculator

The Ad revenue calculator is a way for you to calculate the monetary performance of your content. By comparing top and bottom performers and segmenting different groupings of content, users can target media for improvement and test their ad/content strategy.

 

What questions does the Revenue Calculator answer?

  1. What content is delivering the most Ads and what content is delivering the least?

  2. Are there trends between content title names, tags, playlists, thumbnails and Ad delivery?

  3. Are there trends between page location, playlist location or ad setup?

  4. How can we improve?

How to use Revenue Calculator (Table view)

  1. Slide the CPM bar to estimate your average Ad rate

  2. Compare top and bottom performers to see which content is delivering more Ad Impressions/Revenue

  3. Filter on Tags, Content Length, and Ad Clicks with the search tool to group specific media and to uncover trends

  4. Use the icons in the legend to quickly group types of content

  5. Highlight low-performing content and investigate further with segmentation or on the content detail page

  6. Explore, experiment and check back to see results


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Ways to increase Ad Revenue
Some ideas to increase Ad Delivery


Note: JWPlayer labs and its associated data are experimental in nature and may experience variances, long load times and downtime. If you're seeing 'no data' in your JW Player analytics, and your content is not hosted with JW Player, be sure you've followed the instructions for registering your external URLs to get Media IDs.


                                                                                                                                                                       



Analytics Labs | Audience Loyalty

The Audience Loyalty provides the composition of your audience in terms of their return rate providing insights into their engagement level and behaviors. By grouping your audience into loyalty cohorts you may discover different preferences, trends and consumption habits that can drive tactical and strategic decisions.
 

What questions does Audience Loyalty answer?

  1. What is the composition of my audience?

  2. Are there trends in my different types of users’ behaviors?

  3. Do loyal users watch more content? For longer? Higher completion?

  4. How does this compare with the JW Network?

  5. How can we improve?
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How to use Audience Loyalty - Definitions

Detailed definitions of these metrics and audience loyalty cohorts can be found here

  • Audience loyalty lab looks at your top three page domains

  • Audience loyalty considers your users data for the most recent 60 days
     

How to use Audience Loyalty (Graph 1 view)

  1. Take a look at the pie charts, which show your audience loyalty cohort size breakdown along with that of JW Player Network

  2. Hovering on a pie slice in the charts will show you the size/percentage of that loyalty cohort



How to use Audience Loyalty (Graph 2 view)

  1. Look at the grouped bar chart, which shows the impact of your users loyalty cohorts on each of the top-line engagement metrics. Each metric is grouped by your top visited page domains.
  2. Choose any metric from the dropdown and the graph is interactively updated with the new metric data.
  3. By hovering on each bar, you can see its loyalty cohort size, exact value of the chosen metric, page domain and loyalty cohort name.
  4. You can look for trends between your loyalty cohorts within each engagement metric. For instance:
    • Do your loyal users tend to watch more videos (frequency)? Longer videos (average time watched)? For Higher completion rate?
    • Which loyalty cohort earns the most money through the most ad impressions rate? This can have impact on your revenue.
  5. Explore, experiment and check back to see results.
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How to use Audience Loyalty (Table1 view)
  1. See your audience detailed statistics on engagement metrics grouped by your top page domain and audience loyalty cohorts

  2. The values for each engagement metric in this table are also compared to those of the JW Player Network Table (next table) and the different percentages are displayed

  3. You can search for trends between your different audience loyalty cohorts within and across the engagement metrics

  4. You can search the table and filter the data by entering a string in the search text box. For instance, you may want to filter the data to only show information on your frequent users by entering “frequent” in the search box

  5. You can sort the data in the table by any column in ascending or descending order by clicking on the top or down arrow respectively located next to a column​



How can you improve?

By grouping your audience into loyalty cohorts, you can

  • Know which audience loyalty cohort earns the most money

    • The user bucket with the most ad impressions rate can have impact on your revenue​
  • Promote marketing strategy decisions accordingly

    • Marketing dollars spent towards attracting new users vs. retaining existing?

Note: JWPlayer labs and its associated data are experimental in nature and may experience variances, long load times and downtime. If you're seeing 'no data' in your JW Player analytics, and your content is not hosted with JW Player, be sure you've followed the instructions for registering your external URLs to get Media IDs.

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