@mshcasw profile picture

@mshcasw

@mshcasw

1,611
Followers
17
Following
Not published
Posts
37Instapect ScoreF

Instapect Score

37/100 · grade F — a performance read, benchmarked against under 5K followers.

Nano tier1,611 followersAudience Reach29/100Benchmarked against under 5K followers
Engagement rate
2.44%

by followers · typical 4.00%

Avg likes
39

median 12

Avg comments
0

median 0

Cadence
11.0

posts / week · 0.6 d apart

Comment-to-like
0.57%

healthy band 1–3%

Median ER
0.74%

middle post in the sample

Public-profile audit · 9 posts sampled (3 pinned excluded) · retrieved 10 Sept 2026· served from cache

Mohamed Sathak Hamid College of Arts and Science for Women (MSHCASW) was established in Ramanathapuram in 2018.

enrollonline.co.in/Registration/Apply/MSCASW

Profile snapshot

Headline public metrics for @mshcasw, from 9 sampled posts. Averages sit beside medians so one viral post cannot flatter the picture.

Engagement rate

2.44%

(avg likes + avg comments) ÷ followers · median 0.74% · under 5K followers

Average likes

39

Median 12 · 9 posts with a visible like count

Average comments

0

Median 0 · comment-to-like 0.6%

Posting cadence

11.0posts / week

About one post every 0.6 days

Latest posts

Newest first · engagement rate by followers per post

10 Sept 2026 · image

No caption

3

likes

0

comments

0.19%

ER

9 Sept 2026 · reel

No caption

10

likes

0

comments

0.62%

ER

9 Sept 2026 · carousel

The ICT Committee of Mohamed Sathak Hamid College of Arts and Science for Women organized a three-day Faculty Development Programme (FDP) on “Design Thinking” from 7th to 9th September 2026. The programme was facilitated by Mr. Arjun Vijayan, Soft Skills Trainer, T&D, who served as the Resource Person and Programme Coordinator. A total of 26 faculty members from various departments actively participated in the programme. The FDP focused on developing creative thinking, innovation, problem-solving skills, and effective decision-making abilities through the principles of Design Thinking. The sessions were interactive and provided the faculty members with practical insights that can be effectively integrated into teaching and professional practices. The programme was successfully completed with the active participation and valuable contribution of all the faculty members. It served as a meaningful platform for enhancing professional competencies and promoting innovative approaches in education.

60

likes

0

comments

3.72%

ER

9 Sept 2026 · reel

💻 Computer Lab Rules: Learn. Follow. Practice. Promoting responsible computer usage, discipline, safety, and a productive learning environment. Because every great digital skill begins with the right lab practices. 🎓✨ #ComputerLab #LabRules #DigitalLearning #StudentDiscipline #CampusLife LearningEnvironment CollegeLife MSHCASW

208

likes

2

comments

13.04%

ER

8 Sept 2026 · image

No caption

9

likes

0

comments

0.56%

ER

7 Sept 2026 · image

No caption

17

likes

0

comments

1.06%

ER

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: Engagement 35% · Engagement Quality 25% · Consistency 15% · Content Performance 15% · Growth 10%. Audience Reach is context only and carries no weight — every account is graded against peers in its own follower tier · composite from 3 of 5 signals — unavailable sub-scores are excluded from both sums, not scored zero

Audience Reach

29 /100

Nano tier

1,611 followers (under 10K followers). An asset score: how many people this account can reach. It does not move with how well the posts perform.

What this means

A few posts carry the average

Median likes (12) are only 31% of the average (39), so a small number of strong posts is lifting the mean. Read the median as the typical result and treat the outliers as a template worth repeating.

Audience Reach

29 /100

1,611 followers puts this account in the Nano tier (under 10K 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 0% · 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(1,611) = 3.21, mapped as 25 + (L − 3) × 20 across the 1K–1M range (1K=25, 10K=45, 100K=65, 1M=85, 10M=100).

Engagement

36 /100

Engagement rate 2.44%, between the 2.00% bottom quartile and the 4.00% typical rate for accounts with under 5K followers. Typical is 4.00%.

Weight 35% · piecewise-linear percentile curve for under 5K followers: 0%→5, p25 2.00%→30, p50 4.00%→55, p90 8.00%→85, 14.40%→100

Engagement rate 2.44% mapped onto the under 5K followers percentile curve (0%→5, p25 2.00%→30, p50 4.00%→55, p90 8.00%→85), measured across 9 of 9 sampled posts with visible like counts.

Engagement Quality

Not measurable

Weight 25% · comment-to-like ratio = avg comments ÷ avg likes × 100, mapped 0%→5, 0.5%→30, 1.5%→65, 3%→90, ≥5%→100

The typical post carries 0 comments, below the 5-comment base at which a comment-to-like ratio is statistically meaningful. One or two reactions expressed as a percentage is not a measurement, so the weight is redistributed rather than scored.

Consistency

31 /100

Posting cadence 10.96 posts per week, above the healthy 3–7 per week band, where extra volume stops adding value. Gaps between posts vary by 1.04× the mean gap of 0.6 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 0.7d ÷ mean gap 0.6d) and cadence factor 0.77 from 11.0 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

44 /100

Breakout upside could not be measured on this sample. 11% of sampled posts carry both a caption and at least one hashtag (a well-kept feed is usually above 80%), across 3 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 unavailable (the median post draws fewer than 30 visible likes, too thin a base for a breakout ratio); its weight was redistributed. enrichment 0.11 (caption + ≥1 hashtag), format mix 1.0 (3 distinct product types).

Growth Signals

Not measurable

Weight 10% · 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.

Free account required

Create a free account to see when this account posts and when its audience actually responds — weekday mix and hour-of-day heatmap.

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

2.44%

Mean of (likes + comments) ÷ followers

Comment-only engagement rate

0.01%

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

Median engagement rate

0.74%

Middle post in the sample

Comment-to-like ratio

0.6%

Higher means more conversational audience

Like-based sample

9of 9 posts

Every sampled post shows its like count. Comment metrics use all 9 posts.

Free account required

Create a free account to see the full engagement distribution — how far the best and worst posts sit from the median.

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.

Free account required

Create a free account to see the full content breakdown — every top post with its thumbnail and per-post engagement rate.

Hashtags & mentions

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

Free account required

Create a free account to see the full hashtag and mention detail, with the engagement associated with each tag.

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.

Free account required

Create a free account to read the full AI action plan, the content plan, post ideas, hashtag strategy and best time to post for this account.

Methodology & caveats

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

What this account does not make measurable

  • 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 = 0.35 × Engagement + 0.25 × Engagement Quality + 0.15 × Consistency + 0.15 × Content Performance + 0.10 × Growth Signals, renormalised over the sub-scores that could be measured. Every account is graded against peers in its own follower tier; Audience Reach is reported separately and carries no weight.
  • 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 (9 usable for like-based metrics) · retrieved 10 Sept 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.

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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.