Impact of churn on OTT Platforms: Insights and solutions

September 27, 2024
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Churn rate is a real problem for over-the-Top (OTT) services, directly impacting stability and growth. High churn rates can erode the predictable income that subscription models promise, making it challenging for platforms to invest in content, technology, and user experience. For instance, Netflix reported a churn rate of around 2.5% in Q1 2023, this churn rate resulted in the loss of 200,000 subscribers in Q1 2023.

Impact of OTT churn

The line graph shows how the churn rate for Netflix has changed over several quarters, from Q1 2022 to Q1 2023.

Insights:

  • The churn rate started relatively high (4%) in Q1 2022, increasing slightly in Q2 and Q3 2022.
  • However, in Q4 2022 and Q1 2023, the churn rate began to decrease, ending at 2.5% in Q1 2023.
  • This drop might indicate effective retention strategies, high-quality content releases, or other market influences reducing subscriber loss.

Moreover, a study by Parks Associates highlights that churn rates for OTT services can range from 5% to 30% per month, influenced by market saturation and shifting consumer preferences.

In this article, we will explore the good, the bad, and the ugly sides of subscription models, focusing on how OTT services can navigate the balance between utilizing on their advantages and addressing the ongoing threat of churn.

The good side of subscription models for OTT platforms

Predictable revenue of OTT platform

Subscription models provide OTT platforms with a reliable stream of recurring revenue, which offers a significant advantage over traditional, one-time payment methods like pay-per-view or ad-supported models. This consistent income allows OTT services to plan long-term financial strategies more effectively, allocate resources efficiently, and invest in high-quality content production.

According to a study by Zuora, companies using subscription-based models grew their revenue five times faster than those relying on traditional payment methods over a five-year period. This predictable revenue not only boosts financial stability but also gives businesses the ability to more accurately forecast customer lifetime value (CLV).

For OTT platforms, understanding CLV helps assess the return on investment (ROI) for new content, features, and marketing strategies. This has been a key factor in Netflix’s ability to grow steadily even in the face of increasing competition, as it reinvests subscription revenue into producing original content that keeps audiences engaged.

Customer loyalty

Subscription models naturally promote customer loyalty. When subscribers commit to monthly or annual plans, they’re more likely to stay connected with the platform over an extended period. Research shows that subscription-based OTT platforms experience up to 50% lower churn rates compared to pay-per-view or ad-supported models. This is largely because subscribers feel more invested in a service they’ve prepaid for, especially when the platform consistently offers fresh and relevant content.

OTT platforms that foster strong, emotional connections with their subscribers through personalized content, loyalty programs, or a seamless user experience are better positioned to retain customers. McKinsey reports that personalized customer interactions can increase loyalty by 10-30%, which directly reduces voluntary churn. For OTT platforms, retaining loyal customers doesn’t just mean keeping them subscribed—it also opens the door to increasing customer lifetime value through upselling and cross-selling opportunities.


Data insights and personalization

Subscription models allow OTT platforms to collect data on viewer habits, preferences, and behavior. This data is key to delivering personalized user experiences, which are needed for keeping subscribers engaged. Netflix, for example, uses data from its 238 million subscribers to power its recommendation algorithm. An estimated 80% of the content watched on Netflix is driven by recommendations, demonstrating how well-tailored suggestions, based on data insights, can boost engagement and reduce churn.

Through advanced machine learning algorithms, OTT platforms can analyze user behavior to deliver highly relevant content to each subscriber. This level of personalization not only enhances user satisfaction but also reduces churn by keeping viewers engaged with content that resonates with them.

A study by PwC found that 43% of consumers are willing to pay more for a personalized OTT experience, highlighting the importance of data-driven personalization. Additionally, by using data, OTT platforms can make more informed decisions about which content to invest in and which marketing strategies to pursue, ensuring that resources are focused on delivering content that subscribers will enjoy and retain.


The bad side of subscription models for OTT platforms


Churn challenges for OTT platform

While subscription models offer better stability, they also come with the inevitable challenge of churn when subscribers cancel their memberships. Churn is a major concern for OTT platforms because it directly undermines the predictability of revenue. No matter how strong the service, subscribers will inevitably leave, whether due to changes in personal circumstances, evolving preferences, or simply a desire to try other platforms.

In fact, churn rates for OTT platforms can range from 5% to as high as 30% per month, depending on the service and region, according to research by Parks Associates. This creates a constant need for retention strategies, such as personalized recommendations, exclusive content, or loyalty programs. Even platforms that have successfully built loyal subscriber bases need to continuously innovate to keep subscribers engaged, as failure to do so can lead to a sharp increase in churn, destabilizing revenue and undermining efforts to build long-term customer relationships.

Market saturation

The explosive growth of OTT platforms has led to increased competition within the subscription-based model. As more services enter the market, it becomes harder for platforms to differentiate themselves. Viewers now have access to a wide array of content choices, making it difficult for individual platforms to stand out. According to a report by Grand View Research, the global OTT market is expected to grow at a compound annual growth rate (CAGR) of 29.4% from 2023 to 2030, highlighting the intensifying competition among platforms.

As the market becomes more saturated, OTT platforms face the challenge of delivering unique and compelling content that distinguishes them from competitors. Without clear differentiation, platforms risk being lost in the crowd, making it harder to attract and retain subscribers. The pressure to continuously deliver high-quality, exclusive content can stretch resources and reduce profit margins, especially for smaller players in the market.

Customer fatigue

One of the growing issues with subscription models is customer fatigue. As the number of OTT platforms continues to rise, consumers are subscribing to multiple services, which can become overwhelming both financially and logistically. In a survey conducted by Deloitte, nearly 47% of consumers felt they had too many streaming services, leading to higher cancellation rates as people try to simplify their subscriptions and reduce costs.

For OTT platforms, this means not only fighting to gain new subscribers but also battling against broader subscription fatigue in the market.

The ugly side of OTT subscription models

Involuntary churn of OTT

Involuntary churn occurs when subscribers are unintentionally dropped from a service due to issues like payment failures, expired credit cards, or technical glitches. This type of churn is particularly harmful because it impacts revenue without the subscriber intending to leave the service. According to a report by Recurly, involuntary churn accounts for up to 34% of total churn in subscription businesses.

For OTT platforms, this form of churn is a silent revenue killer. Platforms lose subscribers simply because of technicalities in the payment process, and many of these customers might not even realize they’ve been unsubscribed until they lose access to the service. This disrupts the stability of recurring revenue streams and can negatively affect customer relationships. OTT services must adopt proactive solutions such as automated payment reminders, retrying failed transactions, and offering flexible payment options to reduce involuntary churn and protect their revenue base.

Voluntary vs. Involuntary churn of OTT

The piechart breaks down the total churn into voluntary and involuntary churn.

Insights:

  • 66% of churn is voluntary: This represents users who choose to cancel due to various reasons (content dissatisfaction, trying other platforms, subscription fatigue, etc.)

  • 34% of churn is involuntary: This represents users unintentionally dropped due to issues like expired credit cards or payment failures.

Quality vs. Quantity

Subscribers demand fresh, original content to justify their recurring payments, which pushes OTT platforms to prioritize quantity over quality. However, there’s a significant risk that this approach may lead to compromised content standards.

When platforms rush content production to meet subscriber demand, the quality of shows, movies, or exclusive releases may suffer. This can alienate subscribers who expect high-quality entertainment, leading them to cancel their subscriptions.

A survey by PwC found that 66% of consumers would cancel a subscription if the content quality declined significantly. For OTT platforms, it’s important to maintain a balance between delivering enough content to keep users engaged and ensuring that the content meets the high standards subscribers expect.

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How to address OTT churn effectively

Use data insights

By analyzing subscriber behavior, viewing patterns, and engagement metrics, platforms can identify at-risk customers who are likely to cancel their subscriptions. Data-driven insights can help predict churn by identifying patterns such as reduced platform usage or longer gaps between sessions.

According to research by McKinsey, companies using advanced analytics to anticipate customer needs and behaviors have reduced churn by as much as 15%. OTT platforms can use these insights to personalize content recommendations, re-engage dormant users, or offer tailored incentives, like discounted subscription renewals, to keep customers from leaving.

For instance, Netflix's recommendation algorithm, which drives around 80% of content viewed on the platform, is a prime example of how personalized experiences can deepen user engagement and reduce churn rates.

Proactive retention strategies

Retaining subscribers requires a proactive approach that goes beyond simply providing content. OTT platforms need to implement retention strategies that build long-term relationships with their users. Loyalty programs that reward users for continued engagement, such as offering free months or exclusive content for long-term subscribers, can be highly effective.

Platforms should also offer targeted promotions based on user preferences and viewing habits. Personalized content recommendations, driven by machine learning, can ensure that users stay engaged with relevant content. In addition, OTT services can send tailored notifications or alerts for new releases that align with individual user tastes. Keeping users engaged through meaningful interaction with the platform will help reduce voluntary churn.

How to address OTT churn effectively

This bar chart visualizes the impact of various retention strategies on reducing churn. Each bar represents a different strategy, showing how effective each one is in lowering churn rates by a certain percentage.

Insights:

  • Personalized Content (25%): This strategy has the highest impact, reducing churn by 25%. Personalized recommendations, driven by algorithms that tailor content to individual user preferences, are a powerful tool for keeping subscribers engaged.
  • Exclusive Content (18%): Offering exclusive shows, movies, or live events also plays a key role, reducing churn by 18%. Subscribers are less likely to cancel when they feel they can’t get similar content elsewhere.
  • Loyalty Programs (15%): Programs that reward long-term subscribers with perks (e.g., free months, discounts) help retain customers by 15%, reinforcing emotional ties to the platform.
  • Payment Reminders (12%): Although focused on reducing involuntary churn, sending automated payment reminders and retrying failed transactions prevents 12% of churn, which would otherwise go unnoticed by subscribers.

Endnote

Each aspect of churn presents an opportunity for improvement. By focusing on optimizing the user experience whether through personalized content recommendations, proactive communication, or seamless billing processes OTT services can make their customer experience better.

At FastPix, our aim is to make video experience better, and our analytics play an important role in achieving that. By integrating the FastPix analytics, you gain access to over 30 key performance metrics that offer deep insights into viewer behavior, playback failures, buffering incidents, and more. This comprehensive data enables you to identify pain points in the user experience and take proactive measures to resolve issues before they lead to churn.

FastPix analytics for OTT platforms


FastPix’s dashboard allows for real-time monitoring of video performance, empowering you to make data-driven decisions that boost viewer satisfaction. With features designed to track Quality of Experience (QoE), you can ensure that your content consistently meets audience expectations. By having these insights, OTT platforms can not only improve their retention rates but also position themselves for long-term growth in an increasingly saturated market.

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