Audience Geography
Geographic distribution of engaged audience calibrated via telemetry snapshot analysis.
Telemetry Dossier & Engagement Audit
Feym Telemetry Index · ID: 1547627005The creator profile Salman Khan (@beingsalmankhan) operates within the instagram ecosystem with a verified audience footprint of 72,759,367 followers, anchoring its primary media reach in ZEA (Emiraty). 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 13%| Telemetry Metric | @beingsalmankhan | Cohort Median (ZEA (Emiraty)) | Variance / Status |
|---|---|---|---|
| Engagement Rate (ER) | 1.69% | 0.30% | +1.39% |
| Audience Footprint (Followers) | 72,759,367 | 20,866,974 | Above Cohort Median |
An Engagement Rate (ER) of 1.69% positions this creator in the Tier-1 High Engagement echelon, substantially outperforming median industry benchmarks on instagram. 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, @beingsalmankhan 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 Indie (70.4% 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 (INSTAGRAM · ZEA (Emiraty))
The following matrix benchmarks @beingsalmankhan against direct category peers operating within the same platform and regional cohort:
| Profile | Audience Footprint (Followers) | Engagement Rate (ER) | Variance / Status |
|---|---|---|---|
| ★ Salman Khan (@beingsalmankhan) | 72,759,367 | 1.69% | Above Cohort Median |
| Jacqueline Fernandez @jacquelienefernandez | 67,670,406 | 0.11% | Below Cohort Median |
| दीपिका पादुकोण @deepikapadukone | 77,922,619 | 0.36% | Above Cohort Median |
| Urvashi Rautela @urvashirautela | 66,952,819 | 0.04% | Below Cohort Median |
Frequently Asked Questions about @beingsalmankhan
How is the Engagement Rate (ER) calculated for @beingsalmankhan?
Feym calculates ER by standardizing total verified engagements (likes, comments, shares) against follower and viewership baselines on instagram, while filtering out anomalous bot spikes.
Where is @beingsalmankhan’s primary audience located?
Telemetry calibration across language signals, interaction timestamps, and regional metadata indicates that the leading audience segment resides in Indie (70.4% share).
How frequently are the telemetry metrics updated for this profile?
Data snapshots are continuously calibrated against public creator performance indicators across instagram using rolling 24-hour verification windows.
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