Hannah Palmer engagement report
@hannah_cpalmer - 353K followers on X
Measured over 1 original post from a 30-day window, last computed on September 2, 2026.
Engagement
Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 9.9K interactions against 353K followers, an engagement rate of 2.81%. Posts are seen about 160K times each, and 6.23% of those impressions turn into an interaction. That is about 45.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 16K interactions, about 1.6x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 1 original post from a 30-day window, last computed on September 2, 2026. Recurring tag: #dollyparton.
Where this sits in the catalog
At 2.81%, Hannah Palmer sits above the 90th percentile of the 41,462 accounts in this comparison. That places it in the top 10% band, which runs 2.07% to 143.9%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.013% |
| 50th percentile | 0.083% |
| 75th percentile | 0.446% |
| 90th percentile | 2.07% |
| 99th percentile | 143.9% |
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 00:00 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% | 58K |
| 01:00 UTC | -2% | 59K |
| 02:00 UTC | -3% | 57K |
| 03:00 UTC | -4% | 61K |
| 04:00 UTC | -6% | 49K |
| 05:00 UTC | -4% | 48K |
| 06:00 UTC | -5% | 55K |
| 07:00 UTC | -4% | 59K |
| 08:00 UTC | -4% | 69K |
| 09:00 UTC | -4% | 80K |
| 10:00 UTC | -3% | 83K |
| 11:00 UTC | -3% | 90K |
| 12:00 UTC | -2% | 99K |
| 13:00 UTC | -2% | 108K |
| 14:00 UTC | -4% | 111K |
| 15:00 UTC | -2% | 115K |
| 16:00 UTC | -4% | 112K |
| 17:00 UTC | -3% | 104K |
| 18:00 UTC | -2% | 97K |
| 19:00 UTC | -2% | 92K |
| 20:00 UTC | -1% | 86K |
| 21:00 UTC | -1% | 76K |
| 22:00 UTC | -2% | 65K |
| 23:00 UTC | -1% | 59K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 254K |
| Monday | +2% | 326K |
| Tuesday | -2% | 350K |
| Wednesday | -4% | 312K |
| Thursday | -2% | 265K |
| Friday | -3% | 274K |
| Saturday | +3% | 248K |
Best tweets
- Mar 24, 20251.6x their median
🖤 https://t.co/cC3yEHtJlB
- Dec 18, 2021
winter wonderland https://t.co/WIyrfoSxa9
- Nov 29, 2021
🕷❤️🔥👽 https://t.co/6EX3rz2ntG
- Aug 17, 2026
st tropez sun 🐬🪼🩵 https://t.co/TV82hhLNjg
- Apr 11, 2025
🪷 https://t.co/bTMZyj84S1
- Apr 20, 2026
https://t.co/GpflqeImXn
- Jul 5, 2026
❤️🤍💙 https://t.co/zJuOnSLHAJ
- Sep 8, 2022
🥂 https://t.co/sKm0xm2Q4G
- Feb 21, 2024
https://t.co/u4wpyJ2NlG
- May 9, 2025
https://t.co/EZ7PxKqXyP
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 9.9K interactions against 353K followers, an engagement rate of 2.81%. Posts are seen about 160K times each, and 6.23% of those impressions turn into an interaction. That is about 45.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 16K interactions, about 1.6x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Hannah Palmer's engagement rate on X?
- Hannah Palmer (@hannah_cpalmer) has an engagement rate of 2.81%, based on the median interactions across 1 original posts from the last 30 days against 353,457 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 2.81%, Hannah Palmer sits above the 90th percentile of the 41,462 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 @hannah_cpalmer have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @hannah_cpalmer post?
- Most posts go out around 00:00 UTC, and Monday is its busiest day, at roughly 0.07 posts per day across the measured window.