Destiny

@destiny_odriscoll

1,800
Followers: 598
Following: Not published
Posts

73Instapect ScoreB

Instapect Score

73/100 · grade B — a performance read, benchmarked against under 5K followers.

Nano tier1,800 followersAudience Reach30/100Benchmarked against under 5K followers

Engagement rate: 7.26%
Avg likes: 104
Avg comments: 27
Cadence: 0.1
Comment-to-like: 26.05%
Median ER: 7.17%

Public-profile audit · 3 posts sampled (9 pinned excluded) · retrieved 8 Sept 2026· served from cache

🎞️

Profile snapshot

Headline public metrics for @destiny_odriscoll, from 3 sampled posts. Averages sit beside medians so one viral post cannot flatter the picture.

Engagement rate

7.26%

(avg likes + avg comments) ÷ followers · median 7.17% · under 5K followers

Average likes

104

Median 106 · 3 posts with a visible like count

Average comments

Median 31 · comment-to-like 26.0%

Posting cadence

0.1posts / week

About one post every 63.0 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

High-Engagement Community

Both the rate of response and the depth of it are strong — this audience reacts and talks back.

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 4 of 5 signals — unavailable sub-scores are excluded from both sums, not scored zero

Audience Reach

30 /100

Nano tier

1,800 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

Posting frequency is the most controllable lever

At 0.11 posts per week — one every 63 days — the account publishes less than once a week. Unlike engagement rate, cadence is entirely within the owner's control, which makes it the cheapest thing on this page to change.

Performance is genuinely consistent

Median likes (106) are 102% of the average (104). 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

30 /100

1,800 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(1,800) = 3.26, mapped as 25 + (L − 3) × 20 across the 1K–1M range (1K=25, 10K=45, 100K=65, 1M=85, 10M=100).

Engagement

79 /100

Engagement rate 7.26%, above 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 7.26% mapped onto the under 5K followers percentile curve (0%→5, p25 2.00%→30, p50 4.00%→55, p90 8.00%→85), measured across 3 of 3 sampled posts with visible like counts.

Engagement Quality

100 /100

26.05 comments per 100 likes, above the 1–3% healthy band, an unusually conversational audience. A comment costs far more effort than a like, so this ratio measures conversation rather than reach.

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

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

Consistency

60 /100

Posting cadence 0.11 posts per week, below the 1-per-week floor most active accounts clear. Gaps between posts vary by 0.03× the mean gap of 63.0 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 0.97 (1 − stdev 2.1d ÷ mean gap 63.0d) and cadence factor 0.04 from 0.1 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

26 /100

The best post in the window drew 1.0× the median post's likes — 1× means no post ever breaks out, 3× or more means the account reliably produces outliers worth repeating. 0% 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 1.04× (top post 110 likes ÷ median 106) scoring 31, enrichment 0.00 (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

7.26%

Mean of (likes + comments) ÷ followers

Comment-only engagement rate

1.50%

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

Median engagement rate

7.17%

Middle post in the sample

Comment-to-like ratio

26.0%

Higher means more conversational audience

Like-based sample

3of 3 posts

Every sampled post shows its like count. Comment metrics use all 3 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	ER
1	Picture this 💋	30 Dec 2025	carousel	106	31	7.61%
2	Maryanns Stag night🖤	19 Jun 2026	carousel Pinned	112	25	7.61%
3	💕	26 Aug 2025	carousel	95	34	7.17%
4	💚	26 Oct 2025	carousel	110	16	7.00%
5	@versace	21 Jun 2026	carousel Pinned	102	22	6.89%
6	✨	19 Jul 2026	carousel Pinned	92	18	6.11%
7	💛	5 Jun 2026	carousel Pinned	74	27	5.61%
8	🤍	28 Jun 2026	carousel Pinned	80	21	5.61%
9	🐆🤎	21 Dec 2025	carousel Pinned	69	18	4.83%
10	No caption	27 Aug 2026	carousel Pinned	—	14	—

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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 0.1 posts per week, averaging 63.0 days between posts. Recommendation: lift from 0.1 to 3–4 posts a week. 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 3-post window: carousel_container 3/3. Everything is carousel_container. 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 110 likes against a median of 106 — 1.04× the typical post — as a carousel_container published 26 Oct 2025, opening "💚". Treat that post as a template, not a fluke: repeat its format and its opening move.
Captions & hashtags: 0% of sampled posts carry both a caption and at least one hashtag; a well-kept feed sits above 80%. No hashtags were found in the sampled captions, so there is no measured tag performance to build on yet. 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 7.39%. Most sampled posts go out around 17:00 (2 of 3). 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 carousel_container that drew 110 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 27 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 26.05% comment-to-like ratio.
4.Re-issue the strongest evergreen subject with a full caption and 3–5 tags — only 0% of sampled posts currently carry both.
5.A short, cheap-to-produce format the account can sustain weekly — cadence is 0.1 posts a week and consistency is the sub-score with the most headroom.

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 @destiny_odriscoll (Destiny), retrieved 8 Sept 2026.
Sample: 3 public posts.

Audience: 1,800 followers, Nano tier.
Engagement rate by followers: 7.26% (peer typical 4.00%, top decile 8.00%).
Average likes 104 (median 106).
Average comments 27 (median 31).
Comment-to-like ratio: 26.05%.
Posting cadence: 0.1 posts/week, average 63.0 days between posts.
Format mix observed: carousel_container 3/3.
Best post drew 1.04x the median post's likes.
Captions with at least one hashtag: 0%.
Strongest measured posting day: Tue at 7.39% engagement.
Most common posting hour: 17:00 local.
Instapect Score 73/100 (B) — High-Engagement Community.
Strengths: Performance is genuinely consistent.
Weaknesses: Posting frequency is the most controllable lever.

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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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.

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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

9 pinned posts were detected at the head of the response and excluded from the content window, leaving 3 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 3-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 — never to extend the sample, which would inflate the Reel share and corrupt cadence.
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

3 public posts sampled (3 usable for like-based metrics) · retrieved 8 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.