Hold Rate for DTC Video Ads: Benchmarks and Optimization
Hold rate for video ads measures the percentage of the video's total duration that the average viewer watches, revealing whether your creative maintains engagement after the hook and identifying exactly where viewers disengage before reaching your call to action. Last updated: February 2026Table of Contents
- What Is Hold Rate?
- How to Calculate Hold Rate
- Hold Rate Benchmarks by Video Length
- Where Viewers Drop Off and Why
- How to Improve Your Hold Rate
- Hold Rate as Part of Creative Scoring
- Hold Rate vs Completion Rate vs ThruPlay
- FAQ
What Is Hold Rate?
Hold rate (also called watch rate or average video watch percentage) measures how much of your video the average viewer watches. A 30-second video with a hold rate of 40% means the average viewer watches 12 seconds before dropping off.
This matters enormously for DTC video ads because the critical information is distributed throughout the ad:
- Seconds 0-3: Hook (did we stop the scroll?)
- Seconds 3-10: Problem and context (are we relevant to this viewer?)
- Seconds 10-20: Solution and product introduction (do they care about our product?)
- Seconds 20-25: Proof and social validation
- Seconds 25-30: Offer and CTA
MHI Media uses hold rate as a diagnostic tool to identify exactly where creative messaging needs strengthening. Most video performance problems can be traced to a specific drop-off point.
How to Calculate Hold Rate
Meta does not provide a native "hold rate" percentage, but you can calculate it from available metrics:
Method 1: Using video average play time In Ads Manager, add "Average Video Play Time" to your columns. If average play time is 8 seconds and your video is 30 seconds: Hold Rate = 8/30 = 26.7%. Method 2: Using percentage-watched metrics Meta provides 25%, 50%, 75%, and 95% video completion milestones. These tell you what fraction of viewers reached each point:- 25% of viewers watched 25% of the video
- 13% of viewers watched 75% of the video
- In Ads Manager, create a custom metric
- Formula: Video Average Play Time (seconds) / Total Video Length (seconds) × 100
- Save as "Hold Rate %"
Hold Rate Benchmarks by Video Length
Hold rate is inversely related to video length. Longer videos have lower hold rates because there is simply more content to watch before the end.
Benchmarks by video length (MHI Media, 2026):| Video Length | Average Hold Rate | Strong Hold Rate |
|---|---|---|
| 15 seconds | 40-55% | 55%+ |
| 30 seconds | 28-40% | 40%+ |
| 60 seconds | 18-30% | 30%+ |
| 90 seconds | 14-22% | 22%+ |
Where Viewers Drop Off and Why
Understanding when viewers leave helps you fix the specific creative element causing disengagement:
Drop-off in seconds 0-3 (low hook rate): The opener is not compelling enough to stop the scroll. Viewers are scrolling past before they commit to watching. Fix: overhaul your opening visual or text. Drop-off in seconds 3-8: You stopped the scroll but failed to establish relevance quickly enough. The viewer gave you a chance and decided it was not for them. Fix: move your relevance signal earlier. If your hook is a general attention-getter, add a specific problem statement in seconds 3-5. Drop-off in seconds 8-15: Your hook and problem statement worked, but the transition to your product or solution is losing people. Often caused by: too much preamble before getting to the point, or a jarring tonal shift. Fix: tighten the story transition. Drop-off in seconds 15-20: Most viewers have committed at this point. Late drop-off here often indicates the content is too long for the amount of value being delivered, or the proof elements are not compelling. Fix: tighten this section, move your best proof element earlier. Drop-off in final 5 seconds: Almost everyone who makes it this far will stay to the end. Very low hold at the end can indicate a weak or abrupt conclusion. Fix: strengthen your CTA section.How to Improve Your Hold Rate
Compress your narrative: Every second of a DTC video ad must justify its existence. Watch your video with a critical eye: are there any moments where nothing is happening? Cut them. Use visual variety: Cut every 2-3 seconds in a 30-second video. Each cut resets visual attention and gives viewers a new stimulus to engage with. Place proof elements early: Most DTC video ads put social proof (reviews, testimonials, numbers) in the final third. Move your best proof element to the middle third. Viewers who see early proof have a reason to continue watching. Captions and text reinforcement: Sound-off viewers who cannot hear your narrative will drop off faster. Captions that summarize or reinforce the spoken word extend hold rate for this substantial viewer segment. Pattern interruption at drop-off points: If your video drops significantly at a specific second, that is the point where you need a new visual or narrative element. A title card, a new speaker, a B-roll cut, or a bold text statement at the right moment can halt the drop-off. Value density: Teach the viewer something or advance the story meaningfully every few seconds. DTC videos that meander or repeat themselves lose viewers fast.Hold Rate as Part of Creative Scoring
At MHI Media, we score video creative on a four-metric funnel:
- Thumb Stop Rate: Did it stop the scroll? (Target: 25%+)
- Hold Rate: Did it maintain engagement? (Target: 35%+ for 30-second video)
- CTR: Did it drive intent? (Target: 1.5%+ for prospecting)
- Purchase CVR: Did it convert? (Target: above your baseline CPA)
Hold Rate vs Completion Rate vs ThruPlay
Hold rate: Average percentage of video duration watched. Represents the middle of the funnel between initial attention and action. Completion rate: Percentage of viewers who watched 100% of the video. More commonly reported but harder to optimize toward specifically. ThruPlay: A Meta metric counting views of 15+ seconds (or full video if under 15 seconds). Used as a performance goal in some awareness campaigns.Hold rate is more actionable than completion rate for DTC ads because most DTC ads are 15-60 seconds, and watching 100% is an aggressive benchmark. Hold rate gives you a continuous metric rather than a binary threshold.