@farhanarbab_official

33
Followers: 4
Following: Not published
Posts

77Instapect ScoreB+

Instapect Score

77/100 · grade B+ — a performance read, benchmarked against under 5K followers.

Nano tier33 followersAudience Reach5/100Benchmarked against under 5K followers

Engagement rate: 57.58%
Avg likes: 18
Avg comments: 1
Cadence: 3.4
Comment-to-like: 3.64%
Median ER: 57.58%

Public-profile audit · 9 posts sampled · retrieved 11 Sept 2026· served from cache

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Profile snapshot

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

Engagement rate

57.58%

(avg likes + avg comments) ÷ followers · median 57.58% · under 5K followers

Average likes

Median 18 · 6 posts with a visible like count

Average comments

Median 0 · comment-to-like 3.6%

Posting cadence

3.4posts / week

About one post every 2.1 days

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

5 /100

Nano tier

33 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

Engagement is top-decile for this size

Engagement rate 57.58% is at or above the 8.00% top-decile mark for under 5K followers. Audience responsiveness is the strength of this account, not something it needs to fix.

Performance is genuinely consistent

Median likes (18) are 95% of the average (18). 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.

Audience Reach

5 /100

33 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(33) = 1.52, mapped as 25 + (L − 3) × 20 across the 1K–1M range (1K=25, 10K=45, 100K=65, 1M=85, 10M=100).

Engagement

100 /100

Engagement rate 57.58%, at or above the 8.00% top-decile 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 57.58% mapped onto the under 5K followers percentile curve (0%→5, p25 2.00%→30, p50 4.00%→55, p90 8.00%→85), measured across 6 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

40 /100

Posting cadence 3.37 posts per week, inside the healthy 3–7 per week band. Gaps between posts vary by 1.10× the mean gap of 2.1 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 2.3d ÷ mean gap 2.1d) and cadence factor 1.00 from 3.4 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

60 /100

Breakout upside could not be measured on this sample. 100% of sampled posts carry both a caption and at least one hashtag (a well-kept feed is usually above 80%), across 1 distinct format.

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 1.00 (caption + ≥1 hashtag), format mix 0.5 (1 distinct product type).

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

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

57.58%

Mean of (likes + comments) ÷ followers

Comment-only engagement rate

2.02%

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

Median engagement rate

57.58%

Middle post in the sample

Comment-to-like ratio

3.6%

Higher means more conversational audience

Like-based sample

6of 9 posts

3 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.

#	Post	Date	Format	Likes	Comments	Plays	ER
1	#china is unreal . . #ChinaSuppliers #ChinaSourcing #ecommerce #business	8 Sept 2026	reel	31	0	699	93.94%
2	“Is this exactly what I want my customer to receive?” Because the sample isn’t just something to like or dislike. It should become your reference for the bulk production. Don’t approve a sample just because it looks good. Make sure it matches what you actually want to sell. Save this before approving your next China sourcing sample. . . . . . #ChinaSourcing #ProductSourcing #QualityControl #AmazonFBA #PrivateLabel ChinaSuppliers ChinaSourcing ProductSourcing QualityControl AmazonFBA PrivateLabel ChinaSuppliers	3 Sept 2026	reel	21	3	320	72.73%
3	Cheaper products don’t always mean higher profits. A lower price can look great on paper, but if it comes with lower quality, you may end up paying through returns, complaints, and bad reviews. Instead of asking: “How can you make it cheaper?” Ask: “How can we lower the cost without hurting the product?” You can negotiate things like: • Order quantity • Packaging • MOQ • Product specifications The goal isn’t the cheapest product. It’s getting the right quality at a cost that makes sense for your business. Save this before your next supplier negotiation. #ChinaSourcing #SupplierNegotiation #AmazonFBA #PrivateLabel #ProductSourcing Ecommerce	4 Sept 2026	reel	20	1	249	63.64%
4	The cheapest supplier can become your most expensive mistake. China sourcing isn’t about finding the cheapest supplier. It’s about finding the RIGHT one. Before placing a bulk order: ✔️ Compare China suppliers ✔️ Verify the factory ✔️ Test samples ✔️ Check product quality The goal? Better quality, better pricing, fewer costly mistakes. . . Save this before sourcing from China. . . . #ChinaSourcing #ChinaSuppliers #AmazonFBA #PrivateLabel #ProductSourcing Ecommerce SourcingFromChina QualityControl	6 Sept 2026	reel	15	2	281	51.52%
5	The key is timing. If there’s a problem, finding it while the products are still at the factory gives you a much better chance to address it before shipping. Because fixing a problem in China is a lot easier than dealing with it after the products reach your warehouse or customers. Save this before your next bulk order. . . . . #ChinaSourcing #QualityControl #FactoryInspection #AmazonFBA #PrivateLabel ProductSourcing	5 Sept 2026	reel	15	0	652	45.45%
6	#china is a great country To start your business 😉 . Dm me for more e-commerce and China sourcing inquiries . #ChinaSuppliers #ChinaSourcing #ecommerce #business	9 Sept 2026	reel	8	0	270	24.24%
7	China sourcing isn’t just about finding a cheap supplier. I Before placing a bulk order: 1. Compare suppliers Don’t settle for the first quote. 2. Check the factory Make sure they can actually deliver what you need. 3. Test the sample Never assume the bulk order will match your expectations. 4. Check quality Poor quality can mean unhappy customers, bad reviews, and money stuck in inventory. The goal isn’t to find the cheapest supplier. It’s to find the RIGHT supplier for your business. Save this before you start sourcing from China. Episode 2 is on the way #ChinaSourcing #AmazonFBA #PrivateLabel #ProductSourcing #ChinaSuppliers ChinaSourcing AmazonFBA PrivateLabel ProductSourcing ChinaSuppliers Ecommerce	24 Aug 2026	reel	—	0	275	—
8	Before you ask a Chinese supplier for a price, define exactly what you want. • Material • Size • Features • Color • Packaging Why? If every supplier quotes you for a slightly different product, you’re not comparing suppliers. You’re comparing different products. The rule is simple: Know exactly what you want before you ask how much it costs. Save this before contacting your first China supplier. #ChinaSourcing #ChinaSuppliers #ProductSourcing #AmazonFBA #PrivateLabel Ecommerce ChinaSourcing AmazonFBA PrivateLabel ProductSourcing ChinaSuppliers Ecommerce	25 Aug 2026	reel	—	0	354	—
9	Finding a supplier is easy. Finding the right supplier is the real job. Don’t choose the first factory just because they offer a good price. Instead: • Find multiple suppliers • Check their product range and specialization • Compare MOQ, pricing, customization, and communication • Send every supplier the same product specifications That last part matters. You’re not just buying a product. You’re choosing the company that will make your product. Save this before contacting manufacturers. #ChinaSourcing #ChinaSuppliers #ProductSourcing #AmazonFBA #PrivateLabel Ecommerce ChinaSourcing ChinaSuppliers ProductSourcing AmazonFBA PrivateLabel Ecommerce	26 Aug 2026	reel	—	0	369	—

Top Reels by plays

Published play counts only — not reach, views or watch time.

Separate population from the audit sample · 11 Reels with a published play count · 24 Aug 2026 – 9 Sept 2026 · includes 2 Reels older than the 9-post content window, excluded from every metric above.

#china is unreal . . #ChinaSuppliers #ChinaSourcing #ecommerce #business
699
plays
The key is timing. If there’s a problem, finding it while the products are still at the factory gives you a much better chance to address it before shipping. Because fixing a problem in China is a lot easier than dealing with it after the products reach your warehouse or customers. Save this before your next bulk order. . . . . #ChinaSourcing #QualityControl #FactoryInspection #AmazonFBA #PrivateLabel ProductSourcing
652
plays
Finding a supplier is easy. Finding the right supplier is the real job. Don’t choose the first factory just because they offer a good price. Instead: • Find multiple suppliers • Check their product range and specialization • Compare MOQ, pricing, customization, and communication • Send every supplier the same product specifications That last part matters. You’re not just buying a product. You’re choosing the company that will make your product. Save this before contacting manufacturers. #ChinaSourcing #ChinaSuppliers #ProductSourcing #AmazonFBA #PrivateLabel Ecommerce ChinaSourcing ChinaSuppliers ProductSourcing AmazonFBA PrivateLabel Ecommerce
369
plays
Before you ask a Chinese supplier for a price, define exactly what you want. • Material • Size • Features • Color • Packaging Why? If every supplier quotes you for a slightly different product, you’re not comparing suppliers. You’re comparing different products. The rule is simple: Know exactly what you want before you ask how much it costs. Save this before contacting your first China supplier. #ChinaSourcing #ChinaSuppliers #ProductSourcing #AmazonFBA #PrivateLabel Ecommerce ChinaSourcing AmazonFBA PrivateLabel ProductSourcing ChinaSuppliers Ecommerce
354
plays
#china is unreal . . #ChinaSuppliers #ChinaSourcing #ecommerce #business
334
plays

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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.

Content plan

Built by arithmetic over this account's audited sample — no estimates, no metrics Instagram keeps private. Anything that could not be measured is left out rather than guessed.

Target cadence: Measured cadence is 3.4 posts per week, averaging 2.1 days between posts. Recommendation: hold the current 3.4 posts a week and spend the effort on the format mix instead. The 3–7 per week band is where consistency scores highest without thinning each post's engagement.
Format mix to shift toward: Observed across the 9-post window: clips 9/9. Everything is clips. Adding a second format is the single cheapest way to raise the content-performance sub-score, because format mix is one of its three terms.
What the best post did differently: The strongest post in the window drew 31 likes against a median of 18 — 1.77× the typical post — as a clips published 8 Sept 2026, opening "#china is unreal . . #ChinaSuppliers #ChinaSourcing #ecommerce #business". Treat that post as a template, not a fluke: repeat its format and its opening move.
Captions & hashtags: 100% of sampled posts carry both a caption and at least one hashtag; a well-kept feed sits above 80%. The most-used tag is #chinasourcing (9× in the sample, averaging 58.59% engagement on the posts it appears on). Association, not causation — tags travel with the posts, they do not by themselves cause them.
Best time to post: Tue carries the highest measured engagement of any posting day in the sample at 93.94%. Most sampled posts go out around 01:00 (3 of 9). This is the account's own posting record, not an audience-activity metric — Instagram keeps those private to the owner.

5 post ideas for this account

1.Rebuild the clips that drew 31 likes as a series — same structure, new subject, published on Tue.
2.A carousel that answers the question the audience keeps asking in comments — the account averages 1 comments a post, so the raw material is already there.
3.A post that invites a specific reply rather than a generic one, to defend the 3.64% comment-to-like ratio.
4.A behind-the-scenes clips using the same caption discipline already in place (100% of posts carry caption and tags).
5.A recurring weekly slot on Tue, so the 3.4 posts a week become predictable rather than bursty.

Copy as prompt

One self-contained prompt carrying this account's real measured numbers. Paste it into any AI assistant and it will write a 4-week plan specific to this account rather than a generic one.

You are a social media strategist. Here is a public audit of the Instagram
account @farhanarbab_official, retrieved 11 Sept 2026.
Sample: 9 public posts.

Audience: 33 followers, Nano tier.
Engagement rate by followers: 57.58% (peer typical 4.00%, top decile 8.00%).
Average likes 18 (median 18).
Average comments 1 (median 0).
Comment-to-like ratio: 3.64%.
Posting cadence: 3.4 posts/week, average 2.1 days between posts.
Format mix observed: clips 9/9.
Best post drew 1.77x the median post's likes.
Captions with at least one hashtag: 100%.
Most-used hashtag: #chinasourcing (9 of 9 sampled posts).
Strongest measured posting day: Tue at 93.94% engagement.
Most common posting hour: 01:00 local.
Instapect Score 77/100 (B+) — Developing Profile.
Strengths: Engagement is top-decile for this size; Performance is genuinely consistent.

Using only the numbers above, produce a 4-week content plan for this account:
a weekly posting schedule, the format for each slot, 10 post concepts with
hooks, a caption template, and a hashtag strategy. Be specific to this
account's actual performance pattern. Do not invent metrics.

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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

3 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 6 posts.
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 (9 matched) — never to extend the sample, which would inflate the Reel share and corrupt cadence.
2 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 (6 usable for like-based metrics) · retrieved 11 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.