Gail Kollmar

Gail Kollmar is a micro-reach creator based in USA, publishing in English and working mainly in education, with 27K combined followers across the platforms we track.

Gail Kollmar is an educational channel on YouTube based in USA, publishing mainly in English. The channel @gailkollmar had 27,000 subscribers when we last checked YouTube's official data in September 2026, which places it in the micro-to-mid creator range brands use for focused, community-led campaigns where engagement usually matters more than raw reach. Follower figures on this page come directly from YouTube and refresh automatically; we do not publish numbers we cannot verify.

Educational creator on YouTube · 27,000 subscribers

On CreatorFanBase this page is a data profile, not a fan page: the numbers below come from YouTube and the other platforms they actually publish on, and we drop anything we cannot confirm rather than estimate it.

Best known for

educational videos on YouTube

Account type

Human

Main focus

Education

Based in

USA

Language

English

Combined followers

27K

Reach band

Micro (10k – 100k followers)

Biggest platform

YouTube — 27K

Numbers last checked

Sep 23, 2026

Gail Kollmar has 27K followers in total, which puts this profile in the micro band (10k – 100k followers). The largest single audience is on YouTube with 27K followers — about 100% of the total reach.

Here is where Gail Kollmar's audience actually sits, platform by platform, using the latest count we recorded on each one (last checked Sep 23, 2026).

Every handle above links to the official account, so you can open it and check the numbers yourself before you reach out.

Gail Kollmar is based in USA and posts in English. For brands that usually means the core audience follows the same market and language, with a long tail from everywhere else — big accounts rarely stay local.

The content sits in education, so the people watching are self-selected for those interests. That is the useful part of a niche profile: a mid-size account inside the right category often beats a much larger general account, because the audience already cares about the subject.

If you need the same audience profile in another market, the country and language lists on CreatorFanBase let you line up comparable creators side by side instead of guessing.

Gail Kollmar publishes mainly on YouTube, in the education space. YouTube-first accounts skew towards longer watch time, which suits explanation, review and demo formats.

Gail Kollmar is an educational channel on YouTube based in USA, publishing mainly in English. The channel @gailkollmar had 27,000 subscribers when we last checked YouTube's official data in September 2026, which places it in the micro-to-mid creator range brands use for focused, community-led campaigns where engagement usually matters more than raw reach. Follower figures on this page come directly from YouTube and refresh automatically; we do not publish numbers we cannot verify.

We do not rate content quality on this page. What we do keep accurate is size, platform mix and identity, so you can judge fit yourself and go straight to the account.

Public net worth and earnings figures for Gail Kollmar are estimates published by third parties, not verified accounts, and they vary widely. CreatorFanBase does not publish a number we cannot source, so treat any figure you see elsewhere as a guess.

If you are shortlisting Gail Kollmar for a campaign, these are the facts worth carrying into the brief. Everything here is stored data, refreshed on a schedule rather than typed in once.

A practical sequence: check the lead platform matches where your buyers are, check market and language, open the official account to see recent posting frequency, then ask for a media kit and rate card directly.

Lead platform for a brief

YouTube

Category fit

Education

Budget signal

Micro audience (10k – 100k followers)

Gail Kollmar's counts come from the platforms themselves via youtube_api and are refreshed on a schedule; the most recent check was Sep 23, 2026. When a platform blocks a read, we keep the last verified number and show where it came from instead of filling the gap with an estimate.