Updated: July 2026
Across 460,160 Instagram profiles evaluated by Orbit users, only 45,739 passed users' basic engagement-quality filters, a pass rate of 9.9 percent. In other words, 9 out of 10 Instagram accounts a growth-minded creator considers engaging with fail a simple quality screen. The single biggest reason an account gets filtered out is that it is too large to plausibly engage back (155,430 accounts, 33.8 percent of everything evaluated). Nearly 1 in 5 evaluated accounts is private (88,737, 19.3 percent). And the engagement work itself is heavily power-law distributed: a small fraction of users generate most of the volume, with a median of 59 likes per active user against a mean of 1,379.
This is original, first-party data. The numbers below come from anonymized, aggregate usage of Orbit, a Chrome extension for organic Instagram growth made by BlendPixel, the publisher of this site. No individual accounts are identifiable. This is a July 2026 snapshot of what real audience-building looks like at scale.
Key findings
- 460,160 profiles evaluated cumulatively across the Orbit user base.
- 9.9 percent pass rate. Only 45,739 profiles passed users' quality filters; 414,106 were filtered out.
- Too big to engage back is the top exclusion reason: 155,430 accounts (33.8 percent of all evaluated) were filtered for having too many followers to plausibly engage back.
- Roughly 1 in 5 evaluated accounts is private (88,737, 19.3 percent), a hard stop for any organic engagement.
- 17.4 percent were already reached (80,235), meaning a large share of a target audience has typically already been contacted.
- 234,745 posts analyzed to inform engagement decisions.
- ~99,500 engagement actions performed cumulatively: 92,174 likes and 7,347 follows.
- Engagement is power-law distributed. Among active users the median performed 59 likes, but the mean is 1,379, so a small group of power users drives most of the total volume.
- 2,000+ users have installed Orbit.
9 out of 10 accounts fail a basic quality screen
The headline finding is the pass rate. Of 460,160 profiles evaluated, 45,739 made it through, so 90.1 percent were filtered out before any engagement happened. These are not spam filters. They are ordinary quality criteria a creator sets when deciding who is worth engaging with: not too big, not private, not already contacted, has posts, is a real personal account.
That such a small share passes tells you something about the state of organic growth in 2026. Most of the accounts you encounter while trying to grow are the wrong target, either because they cannot see your engagement, will not plausibly engage back, or have already been reached. The addressable audience for organic outreach is far smaller than the raw account count suggests.
Why accounts get filtered out
The table below shows every exclusion reason, ranked by frequency, with each count as a percentage of the 460,160 profiles evaluated. An account can be filtered for more than one reason, so the reason counts sum to slightly more than the 414,106 total filtered out.
| Exclusion reason | Count | Share of evaluated |
|---|---|---|
| Too many followers (too large to engage back) | 155,430 | 33.8% |
| Private account | 88,737 | 19.3% |
| Already reached (previously contacted) | 80,235 | 17.4% |
| No posts | 32,332 | 7.0% |
| Too few followers | 19,126 | 4.2% |
| Too many following | 15,807 | 3.4% |
| Verified account | 12,855 | 2.8% |
| Too few following | 7,046 | 1.5% |
| Too few posts | 3,568 | 0.8% |
| Business account | 77 | 0.0% |
Three patterns stand out. First, the largest single filter is size: a third of all evaluated accounts are too big to realistically engage back, which is the clearest sign that chasing large accounts is a poor use of organic effort. Second, privacy is a structural wall, not a niche case. With 19.3 percent of accounts private, roughly a fifth of any target list is simply unreachable. Third, the already-reached share of 17.4 percent shows how quickly a target audience gets exhausted: keep engaging in the same niche and a growing fraction of what you find has already been contacted.
Engagement automation is power-law distributed
Across the user base, 92,174 likes and 7,347 follows were performed cumulatively, about 99,500 engagement actions in total, informed by 234,745 posts analyzed.
The distribution of that work is the more interesting finding. Among active users, the median user performed 59 likes, while the mean was 1,379. When the mean sits more than 20 times above the median, the total is dominated by a small number of heavy users. Most people who install a growth tool run it lightly; a small fraction run it intensively and account for the bulk of all engagement volume. Any average engagement number reported for this category, by any tool, is therefore pulled far above what a typical user actually does. The median, not the mean, describes the normal user.
Methodology
These figures are aggregate, anonymized product telemetry from Orbit, a Chrome extension for organic Instagram growth. They reflect a cumulative snapshot taken from the production database on July 12, 2026, across a user base of more than 2,000 installs.
All numbers are aggregate counts only. No individual Instagram accounts, no individual Orbit users, and no personally identifying information are included or identifiable in this data. "Evaluated" counts every profile Orbit users screened; "passed" counts those that met a user's own quality filters; "filtered out" counts those that did not. Percentages in the exclusion table are computed against the 460,160 profiles evaluated and rounded to one decimal place. Because a single account can trigger more than one exclusion reason, the reason counts sum to more than the total filtered out.
FAQ
What share of Instagram accounts pass a basic engagement-quality filter? In this data, 9.9 percent. Of 460,160 profiles evaluated, only 45,739 passed users' quality filters, and 414,106 were filtered out.
What is the most common reason an account gets filtered out? Being too large to plausibly engage back. 155,430 accounts, 33.8 percent of all evaluated profiles, were filtered for having too many followers.
How many Instagram accounts are private? In this sample, 19.3 percent of evaluated accounts were private (88,737 of 460,160), so roughly 1 in 5 accounts you encounter cannot see your engagement at all.
How much does a typical user engage? The median active user performed 59 likes. The mean is much higher at 1,379 because a small number of power users drive most of the volume, so the median is the better description of a typical user.
Where does this data come from? Aggregate, anonymized usage of Orbit, a Chrome extension for organic Instagram growth made by BlendPixel, the publisher of this site. It is a July 2026 product-telemetry snapshot with no individual accounts identifiable.
Disclosure
This data comes from Orbit, a Chrome extension for organic Instagram growth made by BlendPixel, the publisher of this site.