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Cashing In on Data: Boosting Revenue through Video Analytics and Intelligence

Cashing In on Data: Boosting Revenue through Video Analytics and Intelligence

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The advent of video content has brought about a major shift in how businesses monetize their content. With the proliferation of video content across various platforms, it has become increasingly difficult to capture and retain the attention of viewers.

This is where video analytics and intelligence come in. By leveraging video analytics and intelligence tools, businesses can better understand viewer behavior, preferences, and trends, which in turn enables them to develop more targeted and effective monetization strategies.

steaming analytics - analyze, strategize, growth
Not just analyze, but also strategize!

One important way data analytics and intelligence can be used to maximize monetization revenue is by providing actionable insights that improve the Quality of Experience (QoE). This can be achieved by reducing buffering time, optimizing bitrate profiles to cater to a wide range of devices and connection speeds, and monitoring viewer engagement metrics. 

Another important way data analytics and intelligence can be used to optimize monetization revenue is through geographic and device targeting. By analyzing data related to viewer location and device preferences, businesses can create more tailored advertisements and promotions that better resonate with their target audience, ultimately increasing ad revenue.

Let’s talk QoE

In the expansive world of video analytics and intelligence, it can be challenging to navigate through the multitude of metrics. However, we’re here to help you focus on the metrics that truly align with your business goals and pave the way to increased revenue.

Improving your Quality of Experience (QoE) is like giving your viewers a VIP pass to your video content. This means reducing buffering times to a minimum and optimizing bitrate profiles for different devices and connection speeds. A stellar QoE can skyrocket viewer engagement and send your monetization revenue potential into orbit.

Here are some key user engagement metrics that we offer that we usually encourage businesses when measuring engagement:

  • Play Rate: This metric shows the percentage of visitors who click play on your video. A high play rate can indicate compelling video thumbnails or effective video placement on your page.
  • Bounce Rate: This shows the percentage of viewers who leave after watching only a small portion of your video. A high bounce rate could indicate that your video content is not meeting viewer expectations.
  • Completion Rate: This measures the percentage of viewers who watch your video all the way to the end. A high completion rate can indicate that your video content is engaging and holds viewer interest throughout the video.
  • Watch Duration: This tells you how long your viewers are staying tuned in. The longer they watch, the more engaged they are.
  • Viewer Retention: This shows you how many viewers are coming back for more. A high retention rate indicates that your content strategy is on point.
  • Social Sharing: This measures how often your viewers share your video content on social media platforms. High sharing rates can indicate that your video content is resonating on an emotional level or providing significant value to viewers.
  • Conversion Rate: For videos with a specific call-to-action, this metric measures the percentage of viewers who take the desired action after watching the video. This could include making a purchase, signing up for a newsletter, or any other action that aligns with your business objectives.

With these insights, you can identify popular genres, fine-tune your video content strategy, and target your advertisements for optimal viewer engagement. It’s like having a secret weapon for monetization revenue generation.

But let’s not forget about geographic and device targeting. Knowing where your viewers are and what devices they’re using can help you tailor your monetization strategy to regional trends and device preferences. It’s like having a GPS for your video content.

Here at Mlytics, we help businesses navigate through data and help enhance the monetization strategizing process. We turn raw data into a treasure map, guiding you toward the metrics that matter and the monetization revenue potential that awaits.

Leveraging data for effective geographic and device targeting

Geographic and device targeting involves analyzing user data to gain insights into the location and devices used by the users who engage with the video content. This information enables content providers to develop monetization strategies that deliver a more personalized experience to the users.  

To make the most out of this data, it is essential to segment the information to deduce actionable insights. Take the Mlytics platform as an example, by analyzing the location data through available fields like ‘asn,’ ‘country code,’ and ‘region,’ content providers can determine user preferences and cater to that region’s specific needs.

Mlytics Video Stream Geo analysis

Knowing the specific devices used by the audience can also help create better video content experiences. With the data on viewer devices, video content providers can optimize their monetization strategies by identifying the most popular devices and formats.  

Tailoring video content to a particular device can significantly improve user engagement, which further leads to better retention rates. This information can also inform advertisers, who can target specific devices that have higher engagement rates to increase ad revenue.

Turning insights into monetization revenue

At Mlytics, we go beyond mere number crunching. We delve into the depths of data to extract valuable insights that can lead to improved user engagement, a superior viewing experience, and a significant increase in revenue.

Monetization is more than just a buzzword—it’s the driving force of any business. To keep this force in motion, a strategy is needed that’s grounded in actionable insights derived from meticulous video analysis. Here’s how we approach it:

  1. User Engagement Metrics: We analyze data to understand how viewers interact with your video content. Metrics like ‘video watch duration’, ‘engagement rate’, and ‘viewer retention rate’ are more than just numbers—they provide insight into how well your video content resonates with your audience. For example, a high ‘video watch duration’ suggests that viewers are finding your video content engaging, which could lead to increased ad revenue.
  2. Geographical Trends: We examine where your viewers are located. This can help you adapt your video content and advertising strategy to different regions. For instance, if a large portion of your viewers are in a particular time zone, you could schedule new video content releases or live streams to coincide with peak viewing times in that region.
  3. Device Preferences: We identify what devices your viewers are using. This can inform technical decisions, like optimizing video quality for mobile viewing if a large number of your viewers are using smartphones. It can also guide advertising strategy, as ads can be tailored to the specific characteristics of different devices.

With these data-derived insights, you’re not just making money—you’re making informed decisions that optimize your resources and target your efforts effectively. It’s about turning data into decisions, and decisions into increased revenue.

Bonus: optimizing video quality and bitrate profiles for a better viewer experience

Optimizing video quality and bitrate profiles is crucial for delivering a seamless and enjoyable viewing experience to your audience. By ensuring that your viewers can watch videos without buffering interruptions or video quality degradation, you can improve engagement rates and ultimately increase monetization revenue.

video streaming performance issue
Noone’s got time for this, no matter how cute

One important aspect of optimizing video quality and bitrate profiles is catering to a wide range of devices and connection speeds. By analyzing user engagement metrics such as watched duration, engagement rate, and seek count, you can gain valuable insights into what type of video content your viewers prefer. This information can be used to inform your content strategy and optimize it for better viewer retention.