Up Next in Your Player

How JW Player’s Recommendations Engine Enhances Audience Engagement You’ve seen them everywhere: shopping at Amazon, watching shows on Netflix, or discovering “people you may know” on LinkedIn. Recommendations engines allow you to view related content and products based on your online consumption behavior. For publishers, recommendations can be an especially powerful tool in executing your video strategy. They keep eyes on the page and increase click-throughs, strengthening retention when competition for user attention is fierce. These results came through loud and clear with the A/B test of JW Player’s Recommendations engine.

JW Player Offers a 482% ROI. Yes, You Read That Right

Register for our webinar on November 1 to discover the Total Economic Impact of JW Player   Investing in a video technology partner is a big decision. When it comes to measuring return on investment, it’s a good idea to consider factors like these:
  • Fill rate and CPM improvement
  • Incremental net revenue
  • Payback period
  • Deployment and operational cost savings
  • Scalability and infrastructure cost savings
We’ve made it easy for you to evaluate how these metrics stack up in JW Player. Our upcoming webinar with Business Insider and Forrester will discuss the Total Economic Impact that we offer video publishers. Come join us Wednesday, November 1, at 1 p.m. EDT.

Introducing JW Player’s New Analytics Overview!

We recently overhauled our Analytics Overview page with a modern design refresh and leveraging our brand new Reporting API. At JW Player we serve a variety of users, from content editors and developers to ad operations managers. We set out to build a clean and intuitive interface that provides at-a-glance value to everybody--even those who don’t normally geek out over data!  

Extend Your Insight With JW Player’s New Analytics Endpoint

  JW Player has recently released a brand new Analytics endpoint which allows users to access their Video and Advertising data programmatically! JW Player users are now able to pull JW Player data into their own application, data warehouse, or analytics tools like Looker, Domo, or Tableau.  JW data can be plugged into these tools without users having to implement their own frontend tracking & data processing engine. This is extremely useful for users that are managing multiple analytics platforms in addition to JW Player Analytics, but do not have time to visit each dashboard to pull reports and track individual metrics separately.

Redefining “Batch” in our Analytics Pipeline

  Much like the legendary Gordian Knot, sometimes when a problem becomes too thorny to solve, you just need to approach it from a different perspective. Especially in the fast-paced world of data, it’s tempting to devise complex systems when a simple one works just as well. A few months ago, the analytics team at JW Player started working on breaking apart the usage computation from our larger daily pipeline. This usage data needed to be more timely to help our customers avoid overage charges or unexpected loss of service. We called this new pipeline Usage-Mini because it would run more frequently on smaller batches of data as they arrive. As part of splitting apart the usage aggregation, we redesigned the pipeline, making one key decision that has led to huge improvements in performance, monitoring, and stability. This change was to reformulate our definition of batch from fixed time to fixed size. What’s the big deal about that? Keep reading to understand the impact of this simple choice.

Analytics Segmentation: Ad Impressions

Last August, our data exploration tool Segmentation launched and has helped Advanced Analytics users take control of their data and dig deeper into video performance trends.

This month, we rolled out an important new metric: Ad Impressions!  

 

 

Users can now

Agile Incident Response for Big Data Systems

How We Increased Uptime and Decreased Engineering Stress

Working in the big data world can be a little chaotic. For us that means a stable flow of 20k events per second can spike to 50k over the course of an hour. It takes only seconds to look through our logs and find a perfect example:   chart   Things move fast and we need to be able to adapt and respond immediately when our systems are under stress. When a system goes “red” most people’s first instinct is to call the engineer who built it. Over time this can create silos of knowledge and an uneven load on the engineers. Another side-effect of this engineer-first thinking is that the priority is focused on fixing the problem, missing the importance of communication.

JW Recommendations – Powerful Content Discovery

It’s been a year since JW Recommendations launched and since then the product has been delivering millions of extra plays a day to publishers. This week’s release of Video Search Playlists and an enhanced web interface greatly improves our flexible & powerful content discovery solution.

Big Gains in 2016

Recommendations are a crucial part of many video publishers’ offerings and that has put a premium on simple and integrated solutions that can be delivered cost effectively at scale. JW Recommendations integrates deeply with each part of JW Player to provide a powerful, real-time and automated content discovery solution built on our vast network of viewer and content data streams.   recs-pic-1