π βπΈβππβπππΌ πΈβπ» βπΌπΌππ π»πππΈ engagement report
@loloinnylons - 134K followers on X
Measured over 47 original posts from a 30-day window, last computed on September 30, 2026.
Engagement
A typical post picks up 256 interactions against 134K followers, an engagement rate of 0.193%. Measured over 47 original posts, its engagement rate beats 66% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 5.8K times each, and 4.43% of those impressions turn into an interaction. That is about 4.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 47 posts sampled, 72% carry an image or video, 9% are part of a thread and 72% link out. The account's strongest tracked post pulled 3.5K interactions, about 14x its own typical post.
Measured over 47 original posts from a 30-day window, last computed on September 30, 2026. Recurring tag: #bombshell.
Compared with accounts its own size
π βπΈβππβπππΌ πΈβπ» βπΌπΌππ π»πππΈ's engagement rate beats 66% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 83% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.193%, π βπΈβππβπππΌ πΈβπ» βπΌπΌππ π»πππΈ sits above the 50th percentile of the 204,956 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 14:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 72% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 72% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 72% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 72% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 180 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Sep 28, 202614x their median
A day of "no sugar" eating can put 30 teaspoons of the stuff into your blood without a biscuit in the house. A small slice of wholemeal bread, the brown one you switched to, hits your blood like 3 teaspoons of sugar. A portion of sweetcorn hits your blood like 4 teaspoons of sugar. A banana, the one in the gym bag, hits your blood like 6 teaspoons of sugar. A bowl of spaghetti hits your blood like 7 teaspoons of sugar. A portion of oven chips hits your blood like 8 teaspoons of sugar. A boiled potato, no butter, for the diet, hits your blood like 9 teaspoons of sugar. A bowl of basmati rice, the healthy one, hits your blood like 10 teaspoons of sugar. An egg hits your blood like 0 teaspoons of sugar. Not one of those carries sugar on the label, and the label is where you were told to look. Table sugar sits at 65 on the glycaemic index. Wholemeal bread sits at 74. A baked potato sits at 86. Your blood cannot read an ingredients list. The egg was the one you were told to go easy on.
- Sep 26, 202611x their median
Bookmark it and practice ππΌ https://t.co/2XsDJpCgZV
- Sep 28, 20263.4x their median
Feet and legs firstβ¦ always π! Want to know why you canβt stop staring π? Itβs all in the details: my pantyhose-clad feet and legs. Your sweetest comments fuel me. https://t.co/IxxwyPqFbU
- Sep 21, 20263.2x their median
You asked for more outdoor contentβ¦ so I took you to the park π³ with me. Black and red, glasses onβcute or dangerously nerdy π€? https://t.co/QzTRJEEo1z
- Sep 22, 20262.7x their median
All natural curves wrapped in silky lingerie and nylons. Come play with me on my Bombshell where the real magic happens. Join and never look away β‘οΈ https://t.co/VshyLFnVYE https://t.co/rOzF2b9vpj
- Sep 22, 20262.5x their median
Iβve noticed some fake profiles popping up. Make sure youβre following the real me and donβt get scammed. If something feels off, double-check and report it. Thanks for sticking with the real account. Follow me now πΒ https://t.co/Yawjb195Xu https://t.co/F1zQOT3fjd
- Sep 20, 20262.5x their median
Feeling lonely tonight π? Iβm waiting on my pink pageβcome say hi. I promise a little teasing, a lot of flirting, and the kind of chat that keeps you up way too late. π« Β β‘οΈΒ https://t.co/bDdSSitj48 https://t.co/iIJfMM3HKi
- Sep 23, 20262.3x their median
Lately Iβve been obsessed with this look β€οΈ. Can you handle the shine? Glossy pantyhose β¨, tiny hot pants, and those open-toe heels that make every step feel like a little dare. https://t.co/zLZlbhzOFn
- Sep 24, 20262.2x their median
Can you help me choose (red stilettos or flirty slingbacks) with my grey pantyhose and red plaid miniskirt β€οΈ? I love that youβll have the final say. Which pair would you make me wear π€? https://t.co/fsSs7v1nNY
- Sep 20, 20262.1x their median
My eyes when I know youβre staring at my nylon clad legs π. https://t.co/ku06N8MVcx
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 256 interactions against 134K followers, an engagement rate of 0.193%. Measured over 47 original posts, its engagement rate beats 66% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 5.8K times each, and 4.43% of those impressions turn into an interaction. That is about 4.32% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 47 posts sampled, 72% carry an image or video, 9% are part of a thread and 72% link out. The account's strongest tracked post pulled 3.5K interactions, about 14x its own typical post.
- What is π βπΈβππβπππΌ πΈβπ» βπΌπΌππ π»πππΈ's engagement rate on X?
- π βπΈβππβπππΌ πΈβπ» βπΌπΌππ π»πππΈ (@loloinnylons) has an engagement rate of 0.193%, based on the median interactions across 47 original posts from the last 30 days against 134,004 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.193%, π βπΈβππβπππΌ πΈβπ» βπΌπΌππ π»πππΈ sits above the 50th percentile of the 204,956 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @loloinnylons have real engagement?
- Its engagement rate beats 66% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @loloinnylons post?
- Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 2.13 posts per day across the measured window.