How to Set Video Performance Baselines That Actually Mean Something

Every video marketer wants to know if their numbers are good. The instinct is to find a benchmark — an industry average, a platform report, a tweet from someone who posted their results. The instinct is understandable. It's also wrong.

Why external benchmarks fail

Industry benchmarks average together advertisers with different budgets, different audiences, different products, different creative strategies, and different objectives. A B2B SaaS company spending $50K a month on LinkedIn gets averaged with a DTC apparel brand spending $5K on Meta. The resulting number applies to neither.

Benchmarks also lag reality. The report you're reading was compiled from data collected months ago, on a version of the platform that's already been updated, in a competitive environment that's already changed. By the time benchmarks are published, they're describing a world that no longer exists.

Build your own baseline

Take your last 10-20 video ads. For each metric you care about — thumbstop rate, hold rate, CTR, conversion rate, cost per result — calculate the median. Not the mean. The mean gets pulled around by outliers: the one ad that went viral, the one that bombed inexplicably. The median tells you what your typical ad does.

That median is your baseline. It's not a target — it's the starting line. Your goal is to move the median up over time by making better creative decisions informed by better testing.

Why median, not mean

If nine of your ads have a CTR around 0.5% and one ad has a 3.2% CTR, your mean is roughly 0.77% — inflated by the outlier. If you set that as your baseline, eight of your next ten ads will "underperform" because you set the bar too high. The median of 0.5% is a more honest representation of what you can expect from a typical ad.

When your ads consistently beat the median, the median rises. That's progress you can measure. When one ad dramatically outperforms, it's worth studying — but not worth baselining against until you can replicate it.

Segment your baselines

Not all ads serve the same purpose. An awareness ad and a conversion ad have different jobs, different audiences, and different metrics. Averaging them together produces a baseline that's wrong for both.

Segment baselines by objective, by platform, and by funnel stage. A conversion ad on Meta should be measured against other conversion ads on Meta. An awareness ad on YouTube should be measured against other awareness ads on YouTube. This seems obvious. It's rarely done.

Update baselines regularly

Your baseline from six months ago is stale. Audiences change. Competition changes. Your product and brand change. What counted as average performance in January might be below average in June, or vice versa.

Recalculate baselines quarterly at minimum. Monthly if you're running enough volume to have a meaningful sample. The goal isn't to chase a moving target — it's to know where the target actually is.

What baselines don't tell you

A baseline tells you how you're doing relative to yourself. It doesn't tell you how you're doing relative to your potential. You might have a 0.5% CTR baseline and feel good about beating it at 0.6% — while a competitor with a similar product and audience is consistently hitting 1.2%. Your baseline says you're improving. The market says you're underperforming.

Baselines are necessary but insufficient. They tell you whether you're getting better. They don't tell you whether you're good. For that, you need context beyond your own numbers — competitive intelligence, category knowledge, and the honest recognition that your best might not be good enough.