Drops Analytics

@drops_analytics

отвечает metrics disagree

— Real-time on-chain/off-chain alerts — Accumulation activity — Top investors' activity Drops Bot: @drops FOMO App: @fomo Announcements: @EtherDrops_News Chat: @dropstab_en Business Inquiries: @DropsTab_Partnerships

39score in the category

585.6Ksubscribers

4.3Kmedian views

0.7%engagement rate

35posts per month

Из чего сложился балл

охват

90%

вовлечённость

активность

97%

Множитель чистоты 0.60: вовлечённость 0.7% — вне коридора 1.5–150%, принятого в методике

In short

@drops_analytics is a large channel for the Other category: a post reaches 0.7% of subscribers — lower than 98% of channels in the category. Over 27 days of tracking, subscribers fell by 9.3%, while median views held steady. Publishes 35 posts a month — more often than 55% of channels in the category. Some metrics don't agree with each other, so treat the figures with caution. Tracked since 19 Sep 2026, 27 measurements.

Position in the Other category

A score of 39 — ahead of 28% of the category. Every grey dot is another object from the same category.

How it changed

Measured every night. Over 27 days: -60.2K subscribers. A break in the line means the channel did not respond that day.

Views on recent posts

Older posts on the left, newer on the right. A flat line means a steady audience; a jagged one means the channel leans on the occasional viral post.

What the measurements showed. вовлечённость 0.7% — вне коридора 1.5–150%, принятого в методике. This describes a calculation, not the owner’s conduct — see the legal notice for detail.

Against the Other category

Compared only against its own category: normal values differ for a channel with ten thousand subscribers and one with two million. The median is computed over 30631 objects in the category.

subscribers585.6Kmedian 910top of the category

views4.3Kmedian 335above 90%

engagement0.7%median 42.6%above 2%

posts a month35median 28above 55%

Questions

Is @drops_analytics an active channel?

Yes. It responded at the last check on 4 Nov 2026 and published 35 posts in the past 30 days.

Does @drops_analytics have fake subscribers?

The metrics don't add up. That isn't proof of fake subscribers, but it's a reason to look closer before buying an ad. Our measurements: an average post reaches 0.7% of subscribers, metric consistency 75/100. Inflated views can't be fully ruled out from the outside, so this is an observation, not a guarantee. How to check it yourself

How many people see a post in @drops_analytics?

The median post gets 4.3K views — 0.7% of 585.6K subscribers. Ad prices are better judged by this number than by the subscriber count. Why reach matters more than subscribers