Streaming costs are rising, but smart encoding cuts waste by optimizing bitrate, codecs, and ABR ladders—helping OTT platforms reduce delivery costs by up to 40% without compromising viewer experience overall. Continue reading
The economics of streaming have shifted hard against operators in the last 18 months. Subscription growth has flattened in mature markets, sports rights costs keep climbing, and the cloud bills that used to look like a footnote now show up in board decks. For mid-sized OTT platforms, encoding and delivery together can absorb 35–45% of infrastructure spend — and most of that money is being spent shipping bits that nobody actually needed at that bitrate.
This post is for streaming operators, video engineering leads, and OTT founders who already run a platform and are trying to find real margin without degrading viewer experience. We’ll walk through what “smart encoding” actually means in practice, which codec decisions matter most in 2026, how to prune an ABR ladder without picking a fight with your QoE team, and where the next leg of cost optimisation is heading. By the end you’ll know which levers are worth pulling first — and which are theatre.
Most operators see the CDN line item on their AWS or Akamai invoice and try to negotiate. That helps at the margin. But CDN cost is downstream of an encoding decision you made months earlier — and renegotiating per-GB rates can’t undo the fact that you’re shipping a 6 Mbps file to a viewer whose phone would be perfectly happy with 2.4 Mbps. Encoding is where waste is created. Delivery is just where it gets billed.
The other problem is that encoding tends to be a set-and-forget infrastructure. Engineers configure an FFmpeg or MediaConvert ladder once, validate it on a few test files, and move on. That ladder then runs unchanged for years against a content library where talking-head webinars and 4K live sports go through the same bitrate ramp.
The honest answer: 20–40% on egress, depending on your starting point. Netflix’s original per-title encoding paper, published in 2015, reported around 20% bitrate savings at equivalent quality just from picking the right ladder per asset.
Layering modern codecs like HEVC and AV1 on top compounds the savings further. Mid-sized OTT platforms regularly cut delivery costs by a third without a single viewer complaint, simply by encoding smarter rather than streaming less.
Smart encoding is an intelligent encoding approach that analyzes the content before creating output renditions. Instead of assigning fixed bitrate ladders to every video, smart encoding adjusts parameters based on actual content complexity.
For example:
Smart encoding detects these differences and allocates only the bitrate needed to maintain visual quality.
That means no unnecessary data is being encoded, stored, or delivered.
Per-title encoding (PTE) is the practice of building a unique ABR ladder for each asset based on its visual complexity. A nature documentary with slow pans and rich textures needs a very different ladder than a podcast recording of two people sitting still in a studio. Traditional fixed-ladder encoding hands them both the same six renditions, which means the podcast is over-encoded and the documentary may be under-encoded.
Netflix introduced this approach publicly in 2015 because its library had grown too large and varied for a one-size-fits-all ladder. The principle is now standard practice across most premium operations and is widely available through commercial encoding services.
Instead of applying one universal preset, the system determines:
A documentary and an action film receive completely different treatment.
Content-aware encoding goes one level deeper than per-title. Instead of looking at the asset as a whole, it analyses scene-by-scene complexity — high-motion sequences get more bits, static dialogue scenes get fewer. The output is a single VBR file or ladder where the bits go where the eye actually needs them.
In practice, this is implemented through two-pass encoding with complexity analysis, shot-detection-based segmentation, or AI-driven perceptual models that target a constant VMAF or PSNR score rather than a constant bitrate. The end result is the same: fewer wasted bits, better quality where it matters.
Choosing the right codec directly affects cost efficiency. Modern codecs compress better than legacy formats.
Common options include:
For most operators, yes. HEVC delivers roughly 40–50% bitrate savings over H.264 at equivalent quality, and device support is now broad enough across smart TVs, iOS, Android, and modern browsers that HEVC-first delivery is viable for premium content. The licensing situation, while historically messy, is well-understood and priced into operating costs for serious platforms.
The exception is operators serving very long-tail device populations — older Android, legacy connected TVs, or specific regional device ecosystems where H.264 fallback is still required. In those cases, you may end up encoding both, which partially offsets the storage savings. CMAF addresses some but not all of this.
AV1 offers another roughly 30% bitrate reduction over HEVC and is royalty-free, which is genuinely attractive. YouTube and Netflix both use it heavily for their highest-volume content. But AV1 encoding is computationally 5–10× more expensive than HEVC, and not every device decodes it efficiently in hardware yet.
The honest cost-benefit math: AV1 makes sense for top-of-the-funnel popular content where egress savings vastly outweigh encoding compute, and where your audience skews toward newer devices. For mid-library content with modest viewership, AV1 will cost more than it saves. Decide per-tier, not per-platform.
A common ABR ladder has 7–10 renditions. In practice, players spend the overwhelming majority of playback time on 2–3 of them. The middle rungs exist mostly as transitional steps during bandwidth changes, and modern players can interpolate between widely spaced rungs without obvious visible jumps if encoding is consistent.
Pruning down to 5–6 well-chosen rungs typically reduces encoding compute and storage by 30–40%, with a proportional drop in CDN cost for whatever traffic the unused rungs were serving. Use your player analytics to see which renditions are actually serving real viewers before you cut anything.
Look at where your viewers actually live. If 70% of your audience is on mobile with average downlink under 5 Mbps, you do not need a 12 Mbps top rendition for them, and a 4K HEVC top rung at 15 Mbps is vanity if your TV app penetration is small. The bottom rung exists for connection failures and weak networks; setting it too high causes startup failures, too low wastes encoding effort.
The right answer is empirical. Pull six months of player QoE data, plot the rendition distribution, and prune accordingly. This is where adaptive bitrate streaming becomes a real cost lever rather than a default.
Muvi One handles encoding, packaging, multi-DRM, and global CDN delivery as a single integrated workflow. Content uploaded to the platform is automatically encoded into an adaptive bitrate ladder calibrated to the target device profiles, packaged in HLS with CMAF support, protected with multi-DRM, and pushed to the integrated CDN. There is no separate encoder, packager, or CDN contract to manage — and no over-engineered ladder being applied to every asset by default.
For operators running both VOD and live workflows, the same encoding pipeline handles both, which avoids the common pattern of paying twice for parallel infrastructure. You can explore the full encoding and delivery workflow with a 14-day free trial of Muvi One — no credit card required.
For platforms with substantial UGC or large multilingual catalogues, encoding cost is often dwarfed by metadata and compliance overhead. Alie AI automates subtitle generation across multiple languages, metadata tagging, and content moderation through TrueComply — collapsing what used to be a separate post-production cost centre into the streaming pipeline itself.
Reducing streaming costs is a stack of decisions, not a single switch. The biggest single lever is smart encoding — per-title and content-aware, with the right codec for the right content, and a pruned ladder calibrated to your real audience. CMAF, just-in-time packaging, and selective AV1 deployment compound the savings. None of this requires sacrificing viewer experience; if anything, smart encoding tends to improve perceived quality because the bits go where they matter.
If you’re planning to launch or scale an OTT platform without absorbing every encoding and CDN inefficiency yourself, Muvi One gives you smart encoding, multi-DRM packaging, and integrated CDN delivery as a single managed workflow — without stitching together five vendors. Start your free trial here.
Smart encoding analyzes video content and adjusts bitrate, resolution, and compression dynamically to reduce unnecessary data usage while maintaining quality.
It can reduce streaming and delivery costs by 20–40%, depending on existing infrastructure and encoding efficiency.
Content-aware encoding optimizes bitrate at a scene level, allocating more bits to complex scenes and fewer to static ones.
An ABR ladder defines multiple bitrate versions of a video. Optimizing it reduces storage, encoding, and CDN costs.
Written by: Shivashish
Shivashish works as a content writer at Muvi. He has worked in domains like e-commerce, employee engagement, sports and entertainment. A poet by heart, Shivashish believes in creating quality content that is rich in information and easy to understand.
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