To analyse Instagram competitors, compare similar accounts over the same period using metrics available for all of them. Start with posting frequency, follower change and likes plus comments per post. Use the results to choose a content idea to test on your own account. Public interaction counts cannot tell you a competitor's reach, cost of acquiring customers or sales.
Choose accounts that compete for the same audience
A neighbourhood bakery and a national food publisher may both post recipes, but they serve different audiences. The publisher's follower count is a poor target for the bakery.
Pick a small group with a similar customer, language and market. Note differences in account size and business model before comparing results. You can keep a larger account as a source of creative ideas, but label it separately from direct competitors.
Set one question for the review, such as whether product demonstrations get more public interaction than product announcements. A narrow question makes it easier to decide which posts belong in the comparison.
Know which metrics you can compare
SmartMetrics' feature comparison lists follower counts and growth, posting activity, post engagement and post engagement rate for competitor accounts. It does not include competitor reach, saves, profile visits or follower demographics. Its FAQ also distinguishes follower change from the separate counts of followers gained and lost, which are unavailable for competitors.
A rise from 10,000 to 10,200 followers is a net gain of 200. It does not reveal how many people followed and how many unfollowed during the period. See the follower growth rate guide for the calculation and its limits.
Keep unavailable fields marked as missing. If you can see reach and saves for your own posts, use them in the review of your own account. Do not add them to a competitor engagement comparison that uses only likes and comments.
Give every account the same comparison rules
Use one publication window, such as the previous 28 days, and one time zone. Count posts published in that window. An account's total lifetime post count is not its posting frequency for the month.
Compare carousels with carousels and Reels with Reels before combining formats. Also record the topic and purpose of each post. A giveaway asking for comments has a different reason to attract responses from a product tutorial.
Where possible, measure each post at the same age, for example seven days after publication. When reviewing older posts, remember that they have had longer to collect interactions. Record the observation date and flag very recent posts whose counts are still developing.
Record visible collaborations, giveaways and known promotions. A post's public numbers do not give you a complete account of its distribution or advertising spend. Leave unknown promotion status as unknown; do not assume every competitor post is organic.
Compare totals with per-post results
The following numbers are invented to show the arithmetic. Both accounts have 10,000 followers at the snapshot date, and every included post has a recorded count of likes and comments. Assume the posts are comparable in format and measurement age.
| Measure | Account A | Account B |
|---|---|---|
| Posts in the selected period | 8 | 20 |
| Total likes plus comments on those posts | 1,600 | 2,400 |
| Average likes plus comments per post | 200 | 120 |
| Average interactions per post / followers × 100 | 2.0% | 1.2% |
Account B publishes more often and collects more interactions in total. Account A receives more per post. The table gives no evidence about either business's sales.
For this comparison, the follower-based rate is total likes and comments / number of posts / follower count × 100. The snapshot follower count makes the calculation reproducible, but it does not reconstruct the audience size at each publication date. Use the same convention for every account and state it in the report.
Interactions count actions, not unique people. A 2.0% result does not mean 2.0% of followers engaged, because one person can take several actions and non-followers can interact too. The engagement rate guide explains how changing the numerator or denominator changes the meaning.
Inspect the individual posts as well as the average. Also check the median: sort the counts and take the middle value, or the average of the two middle values for an even number of posts. One unusually popular post can pull the average up. Keep it visible and record what made it unusual, then check whether the other posts support the same pattern.
Turn the comparison into one test
Suppose several competitors' demonstration posts receive more comments than their announcements. Read a sample of the comments: product questions and competition entries can produce the same count while suggesting different interest.
Use that observation to plan a demonstration on your own account. Choose the result you will evaluate before publishing. For a useful how-to post, you might track saves relative to reach; for a product enquiry, record relevant questions. Judge the test against your own similar posts, where you have access to the necessary metrics.
In your monthly Instagram report, record the accounts, period and comparison rules alongside the pattern you observed and the next test. Include the number of posts and any missing data so another reader can judge how much evidence supports the idea.