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Decision Desk HQ engagement report

@DecisionDeskHQ - 448K followers on X

Measured over 40 original posts from a 30-day window, last computed on October 29, 2026.

Engagement

Middle of its size range
Per follower
0.046%
of 448K followers
Per impression
0.7%
29K views on a typical post
Reach
6.59%
of its followers see a post
Typical post
206
interactions (median)
Saved
0.037%
11 bookmarks on a typical post
Posting rate
2.67/day
active 37% of days
Peak time
15:00 UTC
Monday

A typical post picks up 206 interactions against 448K followers, an engagement rate of 0.046%. Measured over 40 original posts, its engagement rate beats 58% of 21,624 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 29K times each, and 0.7% of those impressions turn into an interaction. That is about 6.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 40 posts sampled, 98% carry an image or video, 90% are part of a thread and 13% link out. The account's strongest tracked post pulled 1.7K interactions, about 8.5x its own typical post. Recurring topics include #aksen, #ky06, #nesen.

Measured over 40 original posts from a 30-day window, last computed on October 29, 2026. Recurring tags: #aksen, #ky06, #nesen.

Compared with accounts its own size

Decision Desk HQ's engagement rate beats 58% of the tracked X accounts closest to it in follower count (21,624 accounts, accounts of similar size (decile 10 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 38% 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 0.046%, Decision Desk HQ sits above the 25th percentile of the 218,597 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.149%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,597 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,723 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.025%
50th percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.5%

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 15:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video98% of posts+111%+108% to +115%34K
Outbound link13% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 98% 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.
  • 13% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 262 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

  • Oct 21, 20268.5x their median

    DDHQ FORECAST UPDATE (10/21): House FL-4: Likely Republican → Lean Republican FL-22: Lean Republican → Tossup MD-1: Safe Republican → Likely Republican Democrats now have a 78% probability of winning the House, and Republicans are favored in fewer than 200 seats. https://t.co/2g0ES4QGRE

    1.3K291651321.1M viewsView on X
  • Oct 23, 20267.1x their median

    DDHQ FORECAST UPDATE (10/23): House Democrats continue to gain ground in the House, and are now favored in 237 seats. Major shifts: AK-AL: Likely R → Lean R NC-1: Toss Up → Lean D PA-7: Lean D → Likely D TX-23: Likely R → Lean R https://t.co/hVQOS6WCgu

    1.1K1979518214K viewsView on X
  • Oct 22, 20265.5x their median

    DDHQ FORECAST UPDATE (10/22): House Democrats now have a 78% chance to control the House, and a half-dozen seats have shifted towards them. Notable shifts: FL-4: Lean R → Likely R FL-13: Likely R → Lean R MO-2: Likely R → Lean R NV-2: Likely R → Lean R https://t.co/omoj5HPLiQ

    8131874088426K viewsView on X
  • Oct 19, 20264.9x their median

    DDHQ FORECAST UPDATE (10/19) FL-22: Tossup -> Leans R GA-7: Likely R -> Safe R MI-10: Toss Up -> Leans D Democrats now have a 77% probability of flipping the House. In our latest forecast update, Democrats are favored in 235 seats; 218 seats are needed for a majority. https://t.co/B2TcgRzXe6

    8311125814172K viewsView on X
  • Oct 19, 20264.7x their median

    DECISION DESK HQ RATINGS UPDATE (10/19): Senate Democrats: 56% Republicans: 44% Democrats remain favored to flip the Senate. They need to flip four seats to win control - our model currently forecasts Democrats to flip Alaska, Maine, North Carolina, and Texas. https://t.co/N4fFAmfmLz

    784104681089K viewsView on X
  • Oct 21, 20264.7x their median

    DDHQ FORECAST UPDATE (10/21): Senate Democrats: 56% Republicans: 44% Democrats are favored to flip the Senate, with an expected seat total of 51. Forecasted flips: *Ohio:🟥>🟦(53%) *Texas:🟥>🟦(55%) *Maine:🟥>🟦(55%) *Alaska:🟥>🟦(61%) *North Carolina:🟥>🟦(86%) https://t.co/J46HRCPpam

    7101221081891K viewsView on X
  • Oct 27, 20264.5x their median

    One week until election day. The DDHQ Forecast favors Democrats in both the House and the Senate: House 🟦 Democrats - 80% 🟥 Republicans - 20% Senate 🟦 Democrats - 57% 🟥 Republicans - 43% Overall 🟦 Democratic - 55% 🟥 Republican - 19% 🟪 Split - 25% https://t.co/lsuAwJJQud

    725144431466K viewsView on X
  • Oct 20, 20264.2x their median

    DDHQ FORECAST UPDATE Ohio: Tossup -> Leans Democratic Democrat Amy Acton is now the favorite to win Ohio's gubernatorial race. She has a 62% chance to win, with a projected margin of 52%-48% over Republican Vivek Ramaswamy. https://t.co/pd2RecGuGL

    7478236863K viewsView on X
  • Oct 26, 20264.1x their median

    DDHQ FORECAST UPDATE (10/26): House Democrats now have a 79% chance of flipping the House. With a forecasted advantage in 238 seats, Democrats are at their widest lead of the cycle. 10 seats remain in the Toss Up column. https://t.co/vB9Qgh2wEd

    683102381268K viewsView on X
  • Oct 28, 20263.4x their median

    https://t.co/UUy2CUdmf8

    600732111116K viewsView on X

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

#aksen#ky06#nesen

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 206 interactions against 448K followers, an engagement rate of 0.046%. Measured over 40 original posts, its engagement rate beats 58% of 21,624 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 29K times each, and 0.7% of those impressions turn into an interaction. That is about 6.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, though only 37% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 40 posts sampled, 98% carry an image or video, 90% are part of a thread and 13% link out. The account's strongest tracked post pulled 1.7K interactions, about 8.5x its own typical post. Recurring topics include #aksen, #ky06, #nesen.

What is Decision Desk HQ's engagement rate on X?
Decision Desk HQ (@DecisionDeskHQ) has an engagement rate of 0.046%, based on the median interactions across 40 original posts from the last 30 days against 448,395 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.046%, Decision Desk HQ sits above the 25th percentile of the 218,597 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 @DecisionDeskHQ have real engagement?
Its engagement rate beats 58% of the tracked X accounts closest to it in follower count (21,624 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 @DecisionDeskHQ post?
Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 2.67 posts per day across the measured window.

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