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Jumeirah Verified

@jumeirah

259.7K
Followers
36
Following
451
Posts
50Instapect ScoreC−

Instapect Score

50/100 · grade C− — a performance read, benchmarked against 100K–1M followers.

Mid tier259.7K followersAudience Reach73/100Benchmarked against 100K–1M followers
Engagement rate
0.48%

by followers · typical 0.70%

Avg likes
1,242

median 1,387

Avg comments
5

median 4

Cadence
4.3

posts / week · 1.6 d apart

Comment-to-like
0.44%

healthy band 1–3%

Median ER
0.54%

middle post in the sample

Public-profile audit · 9 posts sampled (3 pinned excluded) · retrieved 28 Aug 2026· served from 24h cache

Beautiful hospitality, generously shared.

lnk.bio/Jumeirah

How the score was built

The verdict is at the top of the page; this is the reasoning underneath it. Every sub-score prints its own weight and formula — no black box.

Archetype

Developing Profile

No single pattern dominates yet. The sub-scores below show which dimension moves the result most.

Nominal weights: Reach 20% · Engagement 30% · Engagement Quality 20% · Consistency 15% · Content Performance 15% · Growth 15% · composite from 5 of 6 signals — unavailable sub-scores are excluded from both sums, not scored zero

Audience Reach

73 /100

Mid tier

259,717 followers (100K–500K followers). An asset score: how many people this account can reach. It does not move with how well the posts perform.

What this means

Performance is genuinely consistent

Median likes (1,387) are 112% of the average (1,242). No viral outlier is propping up the average, so every number in this report describes what a typical post actually does — a dependable baseline is a real asset when planning.

Reach

73 /100

259,717 followers puts this account in the Mid tier (100K–500K followers). This is an asset score — how many people the account can reach — and it never moves based on how well the posts perform.

Weight 20% · log-scaled followers: L = log10(followers); L≤3 → 5–25, 3<L≤6 → 25 + (L − 3) × 20, L>6 → 85 + (L − 6) × 15, capped 100

log10(259,717) = 5.41, mapped as 25 + (L − 3) × 20 across the 1K–1M range (1K=25, 10K=45, 100K=65, 1M=85, 10M=100).

Engagement

39 /100

Engagement rate 0.48%, between the 0.35% bottom quartile and the 0.70% typical rate for accounts with 100K–1M followers. Typical is 0.70%.

Weight 30% · piecewise-linear percentile curve for 100K–1M followers: 0%→5, p25 0.35%→30, p50 0.70%→55, p90 1.60%→85, 2.88%→100

Engagement rate 0.48% mapped onto the 100K–1M followers percentile curve (0%→5, p25 0.35%→30, p50 0.70%→55, p90 1.60%→85), measured across 7 of 9 sampled posts with visible like counts.

Engagement Quality

27 /100

0.44 comments per 100 likes, well below the 1–3% healthy band — the audience is scrolling past rather than replying. A comment costs far more effort than a like, so this ratio measures conversation rather than reach.

Weight 20% · comment-to-like ratio = avg comments ÷ avg likes × 100, mapped 0%→5, 0.5%→30, 1.5%→65, 3%→90, ≥5%→100

0.44 comments per 100 likes mapped as 0%→5, 0.5%→30, 1.5%→65, 3%→90, ≥5%→100.

Consistency

40 /100

Posting cadence 4.29 posts per week, inside the healthy 3–7 per week band. Gaps between posts vary by 1.06× the mean gap of 1.6 days — under 0.5× reads as a dependable rhythm.

Weight 15% · 60 × (1 − clamp(stdev(gaps) ÷ mean(gaps), 0, 1)) + 40 × cadence factor (0/wk → 0, 3/wk → 1.0, 3–7/wk → 1.0, 14/wk → 0.6, ≥21/wk → 0.3)

regularity 0.00 (1 − stdev 1.7d ÷ mean gap 1.6d) and cadence factor 1.00 from 4.3 posts/week (0→0, ramping to 1.0 at 3/wk, flat 1.0 through 7/wk, tapering to 0.6 at 14/wk and 0.3 at 21+/wk).

Content Performance

79 /100

The best post in the window drew 2.2× the median post's likes — 1× means no post ever breaks out, 3× or more means the account reliably produces outliers worth repeating. 100% of sampled posts carry both a caption and at least one hashtag (a well-kept feed is usually above 80%), across 2 distinct formats.

Weight 15% · 60 × upside score (top-post likes ÷ median likes: 1×→30, 2×→60, 3×→80, ≥5×→100) + 25 × caption-and-hashtag share + 15 × format mix (1.0 if ≥2 product types, else 0.5)

upside 2.22× (top post 3,078 likes ÷ median 1,387) scoring 64, enrichment 1.00 (caption + ≥1 hashtag), format mix 1.0 (2 distinct product types).

Growth Signals

Not measurable

Weight 15% · clamp(50 + weekly follower growth % × 25, 0, 100), where weekly % = (followers now ÷ followers then − 1) × 100 ÷ weeks

This is the first recorded audit of this account, so there is no observation window yet. Instagram publishes no follower history — Instapect measures growth by comparing snapshots it takes itself, and the trend appears from the second audit that is at least 7 days later.

Growth & cadence

Instagram publishes no follower history, so Instapect builds its own: every audit records a snapshot, and the trend below is measured across those snapshots. Everything else here comes from the visible posting record.

Follower growth

This is the first recorded audit of this account, so there is no observation window yet. Instagram publishes no follower history — Instapect measures growth by comparing snapshots it takes itself, and the trend appears from the second audit that is at least 7 days later.

Engagement rate per post (%)

Oldest to newest across the sampled posts. Unit: % of followers.

Likes and comments per post

Unit: absolute interactions per post.

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Engagement diagnostics

Averages are easily distorted by one viral post. The median tells you what a typical post actually does — read them side by side.

Average engagement rate

0.48%

Mean of (likes + comments) ÷ followers

Comment-only engagement rate

0.00%

Comments ÷ followers × 100 — the honest fallback when likes are hidden

Median engagement rate

0.54%

Middle post in the sample

Comment-to-like ratio

0.4%

Higher means more conversational audience

Like-based sample

7of 9 posts

2 posts hide their like count and are excluded from like-based numbers only — they still count for cadence, format, captions and comments (9 posts).

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Content leaderboard

Posts ranked by engagement rate by followers. Pinned posts are shown because a reader will recognise them, but they sit outside the measured window and feed no average, rate or rhythm.

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Hashtags & mentions

Frequency from captions in the sample, with the average engagement rate of the posts each tag appears on. Association, not causation.

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Action plan

Prioritised by expected impact, written from the measured data above. The advisor sees only the metrics this report could actually compute — never an estimate, never a metric Instagram keeps private.

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Methodology & caveats

What this report measures, how, and what it deliberately does not claim.

What this account does not make measurable

  • 2 of 9 sampled posts hide their like count. They stay in the sample for cadence, format, caption and comment metrics, and are excluded only from like-based ones, which are computed from 7 posts.
  • 3 pinned posts were detected at the head of the response and excluded from the content window, leaving 9 of the 12 returned items. Pinned posts hold permanent placement and keep accumulating engagement, and the oldest one manufactures a gap that never happened — so they are excluded from cadence, gaps, regularity, format mix and every average. They still appear in the content leaderboard, badged "Pinned".
  • The content sample is the 9-item recent-posts window. The reels endpoint reaches further back and covers Reels only, so it is used to enrich matched items with their play count (2 matched) — never to extend the sample, which would inflate the Reel share and corrupt cadence.
  • 10 older Reels outside the content window are shown separately in "Top Reels by plays" with their own window, and are excluded from every average, the format mix and all cadence maths.
  • Play counts are published public counts shown only where the provider returns them. They are not reach, views or watch time, and none of those are available for a public-profile audit.

KPI definitions

  • Engagement rate by followers = (average likes + average comments) ÷ followers × 100.
  • Median engagement rate = the middle post's engagement rate in the sample; robust to viral outliers.
  • Posting cadence = (sampled posts − 1) ÷ days spanned × 7. Intervals, not posts: n posts span n−1 gaps. Unavailable below 2 posts or a zero-day window.
  • Instapect Score = 0.20 × Reach + 0.30 × Engagement + 0.20 × Engagement Quality + 0.15 × Consistency + 0.15 × Content Performance + 0.15 × Growth Signals, renormalised over the sub-scores that could be measured.
  • Comment-to-like ratio = average comments ÷ average likes × 100. A healthy conversational account sits between 1% and 3%.

Sample, source & limits

  • 9 public posts sampled (7 usable for like-based metrics) · retrieved 28 Aug 2026 · served from the 24-hour cache.
  • Only lawfully-visible public signals are used: published posts, visible counts, captions, hashtags, mentions and timestamps.
  • Instapect never reports reach, impressions, audience demographics, Story insights or Reels watch-time. Those are private to the account owner and any tool claiming them for a third party is guessing.
  • Benchmarks are published industry medians by follower tier and are indicative, not guarantees. Any forward-looking figure is labelled an estimate with its method stated.

Category: Dubai audit reports

Comparable profiles

Same category, closest follower tier — audited on identical sampling rules, so the numbers can be read side by side.

This report is built only from lawfully-visible public Instagram signals — published posts and visible counts. It contains no reach, impressions, demographics, Story insights or watch-time, because nobody outside the account can see those. Request removal and the report is delisted from the directory, the category hubs and the sitemap.