Compare competitor Instagram Reels by public proof, not vibes.

The quick answer

Instagram Reels competitor analysis should compare reels against reels. Start with public reel examples, record the date, caption hook, views, likes, comments, and source link, then ask which repeatable idea can become an original test for your brand. Reels view counts accrue from autoplay in the Explore and Reels tabs, so a large number by itself does not confirm that anyone watched past the first few seconds or reacted to the message. The same public account can post twenty reels inside one loaded window and see results span three orders of magnitude, which means a single reel picked at random tells you almost nothing about that account's typical range. Reels competitor analysis works better as a range exercise: look at the account's median reel alongside its best and worst performer, then decide whether the pattern worth testing shows up more than once.

Reels fields to capture

Workflow in InstaSeer

1. Load the public handle. Choose Instagram and run the competitor profile.
2. Open the post list. Switch to the grid or detail view when you need to scan quickly.
3. Filter to reels. Keep the comparison inside one format.
4. Compare highest and lowest signals. The gap often reveals what the audience ignored.
5. Write a reel test. Specify opening frame, hook, offer angle, and measurement plan.

What real reels numbers show about outliers

Pull a public reels report for a large account and the outlier problem stops being theoretical. In a loaded window of 20 Lego reels published between April 2 and June 8, 2026, the median reel carried roughly 55,100 likes and 455,500 views — but one reel tied to the FIFA World Cup jumped to 17,193,839 likes and 69,981,382 views, more than 300 times the median reel's likes and over 150 times its views. Average the whole set with that single reel included and the "typical" performance looks many times higher than what most of the account's reels actually earn. That single reel also converted views to likes better than the rest of the set: it needed roughly 4 views per like, versus roughly 6 views per like across the other 19 reels, which suggests the spike reflected real resonance tied to a global event rather than pure algorithmic reach. A Reels competitor analysis should report that kind of range and conversion detail, not one blended average.

Lululemon's reels in a similar window make the same point at a smaller scale. Twenty reels published between March 4 and June 3, 2026 carry a median of 2,735 likes and 36,331 views, mostly following the same "ambassador introduction" format: a new athlete, a short quote, a training clip. The one reel that broke the pattern paired a mass yoga gathering at the Great Wall of China with community footage and pulled 44,930 likes and 86,483 views on June 3, 2026 — about 16 times the account's median likes, though only about 2.4 times its median views. Neither brand's outlier proves a new content pillar by itself, but both show why a raw view count next to a competitor's name, without the account's own typical range beside it, is not yet a pattern. It is one data point that needs a second example and a source link before it becomes a test.

What to avoid

Do not compare one viral reel to an average carousel and call it a strategy. Do not assume views equal purchase intent. Do not remove the source link from the insight. A good Reels competitor analysis keeps the original example available for context.