Audience Geography
Geographic distribution of engaged audience calibrated via telemetry snapshot analysis.
Telemetry Dossier & Engagement Audit
Feym Telemetry Index · ID: UCAZUK8tC0z8Vhkfa7wSoTugThe creator profile Maja (@majagrawgry) operates within the youtube ecosystem with a verified audience footprint of 646,064 followers, anchoring its primary media reach in Polska. Through the Feym telemetry engine, we execute a multi-dimensional audit of publication velocity, measuring organic interaction ratios against channel scale and longitudinal attention retention.
Unlike superficial vanity counters, Feym’s analytical framework isolates true audience attention and commercial equity. We evaluate rolling publication samples while trimming three-sigma statistical outliers, preventing single viral anomalies from distorting baseline expectations and exposing the genuine sponsorship value of the creator’s inventory.
Cohort Engagement Rate (ER) Benchmarking
Cohort Percentile: Top 20%| Telemetry Metric | @majagrawgry | Cohort Median (Polska) | Variance / Status |
|---|---|---|---|
| Engagement Rate (ER) | 3.96% | 2.55% | +1.41% |
| Audience Footprint (Followers) | 646,064 | 622,443 | Above Cohort Median |
| View Velocity (Views / Subs) | 32.9% | ~25.0% | Above Cohort Median |
| Reaction Conversion (Likes / Views) | 3.7% | ~4.5% | Below Cohort Median |
An Engagement Rate (ER) of 3.96% positions this creator in the Tier-1 High Engagement echelon, substantially outperforming median industry benchmarks on youtube. This serves as empirical evidence of deep community affinity, strong algorithmic amplification, and a negligible proportion of dormant or automated accounts.
From a media buying and influencer procurement perspective, @majagrawgry exhibits a measurable content distribution trajectory. Prior to committing campaign capital, media planners should cross-reference the Engagement Rate (ER) against per-post view medians and geographic audience concentration to prevent budget leakage into non-target territories.
Granular audience geo-telemetry reveals primary market concentration in Polska (94.8% share of active readership). This territorial density allows performance marketers to model localized campaign delivery with minimal impression waste across unverified regions.
Peer Group Competitive Comparison (YOUTUBE · Polska)
The following matrix benchmarks @majagrawgry against direct category peers operating within the same platform and regional cohort:
| Profile | Audience Footprint (Followers) | Engagement Rate (ER) | Variance / Status |
|---|---|---|---|
| ★ Maja (@majagrawgry) | 646,064 | 3.96% | Above Cohort Median |
| Damian Olszewski - Praktycznie o pieniądzach @praktycznieopieniadzach | 660,435 | 2.18% | Below Cohort Median |
| prostracja @prostracja | 622,454 | 4.06% | Above Cohort Median |
| Planeta Abstrakcja @planetaabstrakcja | 622,432 | 1.51% | Below Cohort Median |
Frequently Asked Questions about @majagrawgry
How is the Engagement Rate (ER) calculated for @majagrawgry?
Feym calculates ER by standardizing total verified engagements (likes, comments, shares) against follower and viewership baselines on youtube, while filtering out anomalous bot spikes.
Where is @majagrawgry’s primary audience located?
Telemetry calibration across language signals, interaction timestamps, and regional metadata indicates that the leading audience segment resides in Polska (94.8% share).
How frequently are the telemetry metrics updated for this profile?
Data snapshots are continuously calibrated against public creator performance indicators across youtube using rolling 24-hour verification windows.
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