Audience Geography
Geographic distribution of engaged audience calibrated via telemetry snapshot analysis.
Telemetry Dossier & Engagement Audit
Feym Telemetry Index · ID: 6794141433756222469The creator profile Ruben Tuesta (@rubentuestaok) operates within the tiktok ecosystem with a verified audience footprint of 41,300,000 followers, anchoring its primary media reach in Meksyk. 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 82%| Telemetry Metric | @rubentuestaok | Cohort Median (Meksyk) | Variance / Status |
|---|---|---|---|
| Engagement Rate (ER) | 10.62% | 16.52% | -5.90% |
| Audience Footprint (Followers) | 41,300,000 | 3,450,000 | Above Cohort Median |
| View Velocity (Views / Subs) | 4.2% | ~25.0% | Below Cohort Median |
| Reaction Conversion (Likes / Views) | 10.6% | ~4.5% | Above Cohort Median |
An Engagement Rate of 10.62% indicates broad passive reach or broadcast-style content consumption where viewers watch without leaving explicit public reactions. Sponsorship pricing for this profile should be anchored on guaranteed average views (CPV/CPM) rather than raw subscriber headcount.
From a media buying and influencer procurement perspective, @rubentuestaok 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 Meksyk (52.0% 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 (TIKTOK · Meksyk)
The following matrix benchmarks @rubentuestaok against direct category peers operating within the same platform and regional cohort:
| Profile | Audience Footprint (Followers) | Engagement Rate (ER) | Variance / Status |
|---|---|---|---|
| ★ Ruben Tuesta (@rubentuestaok) | 41,300,000 | 10.62% | Below Cohort Median |
| Fede Vigevani @fedevigevani | 33,700,000 | 15.46% | Below Cohort Median |
| Fede Vigevani @fedevigevani | 33,700,000 | 15.46% | Below Cohort Median |
| KeniaOs @keniaos | 28,200,000 | 22.75% | Above Cohort Median |
Frequently Asked Questions about @rubentuestaok
How is the Engagement Rate (ER) calculated for @rubentuestaok?
Feym calculates ER by standardizing total verified engagements (likes, comments, shares) against follower and viewership baselines on tiktok, while filtering out anomalous bot spikes.
Where is @rubentuestaok’s primary audience located?
Telemetry calibration across language signals, interaction timestamps, and regional metadata indicates that the leading audience segment resides in Meksyk (52.0% share).
How frequently are the telemetry metrics updated for this profile?
Data snapshots are continuously calibrated against public creator performance indicators across tiktok using rolling 24-hour verification windows.
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