Google Public Policy engagement report
@googlepubpolicy - 95K followers on X
Measured over 22 original posts from a 30-day window, last computed on September 17, 2026.
Engagement
A typical post picks up 7 interactions against 95K followers, an engagement rate of 0.007%. Measured over 22 original posts, its engagement rate beats 15% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.2K times each, and 0.573% of those impressions turn into an interaction. That is about 1.29% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 22 posts sampled, 77% carry an image or video, 41% are part of a thread and 45% link out. The account's strongest tracked post pulled 160 interactions, about 23x its own typical post.
Measured over 22 original posts from a 30-day window, last computed on September 17, 2026. Recurring tag: #googleorgimpactchallenge.
Compared with accounts its own size
Google Public Policy's engagement rate beats 15% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 7 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 27% 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 0.007%, Google Public Policy sits above the 10th percentile of the 205,475 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
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 17:00 UTC, and Wednesday 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 | 77% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 45% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 77% 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.
- 45% 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 248 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
- Aug 11, 202623x their median
In Chicago, Anthony Qaiyum uses Google AI to create marketing assets, build manager training, and respond quickly to customer trends, helping @MerzApothecary, a 151-year-old family business, move with the speed and ambition of a startup. https://t.co/VTr21Xy5dh
- Aug 5, 202614x their median
In the latest episode of "A New Era of American Innovation,” Google's Dr. Michael Howell and Greg Corrado are joined by clinician-researcher Dr. Adam Rodman to explore the intersection of technical research and clinical practice. https://t.co/RqBTgmJQSO
- Sep 1, 20266.7x their median
In Atlanta, high school teacher Caitlin uses Google AI to create interactive history lessons and design custom visuals—helping her connect with her students, and helping her students feel better prepared and more confident. https://t.co/4wg6b8EBeG
- Aug 14, 20265.9x their median
In San Diego, business owner Risa Baron uses Google Gemini to analyze food trends, write training manuals, and plan holiday marketing campaigns, keeping @jackiesjams running efficiently behind the scenes. https://t.co/n06DG0j8sh
- Jul 27, 20265.6x their median
As cities face increasingly complex challenges, mayors are looking to AI as a strategic tool to rethink how they serve their residents. Watch mayors from across the US share how AI could change the way they plan, build, and serve their cities to solve challenges faster. https://t.co/bDGtz5luWD
- Aug 13, 20263.7x their median
The 2026 National Edward R. Murrow Award winners have been announced! 🏆 Congratulations to the journalists and news organizations whose outstanding work carries forward Murrow’s legacy of integrity, courage and public service. Meet the 2026 winners: https://t.co/lR5bY3KMCE https://t.co/R7tdsmVTfL
- Aug 19, 20263.6x their median
Gemini Notebook allows teams to build an internal knowledge base. Staff can upload amendments, correspondence, and policy resources to shared notebooks for quick reference of critical data within lengthy documents. https://t.co/WtanJbXL6A
- Aug 10, 20263.3x their median
As governments everywhere pilot AI, they shouldn't have to build from scratch. Government AI Navigator, built by @Apoliticalco with support from @Googleorg, was designed to help. Apolitical Co-Founder & CEO Robyn Scott shares how the tool came to be—and why it’s so important. https://t.co/uCji3CJZmx
- Sep 9, 20263.0x their median
In Mableton, Mayor @MichaelOwensGA uses Google AI to make sure every constituent is truly heard—turning comments and concerns into clear, actionable priorities for his team of 60. https://t.co/XRfrpESF7E
- Sep 15, 20262.7x their median
Meet the 15 organizations chosen for the #GoogleOrgImpactChallenge: AI for Government Innovation. Alongside Google experts, these teams will build human-centered AI tools to make essential services more accessible for everyone. Learn more: https://t.co/xkRSaNQnLM https://t.co/mIyBfAeto4
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 7 interactions against 95K followers, an engagement rate of 0.007%. Measured over 22 original posts, its engagement rate beats 15% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.2K times each, and 0.573% of those impressions turn into an interaction. That is about 1.29% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 22 posts sampled, 77% carry an image or video, 41% are part of a thread and 45% link out. The account's strongest tracked post pulled 160 interactions, about 23x its own typical post.
- What is Google Public Policy's engagement rate on X?
- Google Public Policy (@googlepubpolicy) has an engagement rate of 0.007%, based on the median interactions across 22 original posts from the last 30 days against 94,525 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.007%, Google Public Policy sits above the 10th percentile of the 205,475 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 @googlepubpolicy have real engagement?
- Its engagement rate beats 15% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size 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 @googlepubpolicy post?
- Most posts go out around 17:00 UTC, and Wednesday is its busiest day, at roughly 1.87 posts per day across the measured window.