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Palo Alto Networks engagement report

@PaloAltoNtwks - 130K followers on X

Measured over 40 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Bottom quarter for its size
Per follower
0.013%
of 130K followers
Per impression
0.623%
2.8K views on a typical post
Reach
2.16%
of its followers see a post
Typical post
18
interactions (median)
Saved
0.036%
1 bookmarks on a typical post
Posting rate
1.73/day
active 77% of days
Peak time
15:00 UTC
Wednesday

A typical post picks up 18 interactions against 130K followers, an engagement rate of 0.013%. Measured over 40 original posts, its engagement rate beats 23% of 21,185 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 2.8K times each, and 0.623% of those impressions turn into an interaction. That is about 2.16% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 40 posts sampled, 83% carry an image or video and 80% link out. The account's strongest tracked post pulled 60 interactions, about 3.3x its own typical post. Recurring topics include #humanx, #postquantum.

Measured over 40 original posts from a 30-day window, last computed on October 1, 2026. Recurring tags: #humanx, #postquantum.

Compared with accounts its own size

Palo Alto Networks's engagement rate beats 23% of the tracked X accounts closest to it in follower count (21,185 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 29% 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 0.013%, Palo Alto Networks sits above the 10th percentile of the 212,656 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,656 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,418 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 percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile82.9%

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 15:00 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.

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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video83% of posts+111%+108% to +115%34K
Outbound link80% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 83% 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.
  • 80% 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 289 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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 2, 20263.3x their median

    Palo Alto Networks acquires @console__ to bring agentic AI to enterprise operations. Console brings purpose-built, AI-native workflows to Palo Alto Networks customers, giving teams the force multiplier to resolve alerts and requests at machine speed. Read the announcement ➡️ https://t.co/AtSMJBv9VW

    4610316.7K viewsView on X
  • Sep 28, 20262.8x their median

    Prompt guardrails guide what an agent should do, not what it can do. Autonomous AI agents actively reason around obstacles to achieve their goals. We are expanding our strategic collaboration with @NVIDIA across compute, runtime, and identity, bringing Zero Trust enforcement directly to NVIDIA BlueField DPUs. Learn more. https://t.co/uQNDCGVvVN

    396513.6K viewsView on X
  • Sep 3, 20262.4x their median

    AI agents are moving from simple prompts to executing complex workflows, and traditional access controls aren't cutting it. Together with @AnthropicAI, we’re defining identity-first security for the agentic era using Idira advanced privilege controls. Scale AI safely with strong governance 👇 https://t.co/SJGAasx7u2

    339103.9K viewsView on X
  • Aug 26, 20262.2x their median

    AI coding agents like Claude Code, Codex, Copilot, and Cursor can access repos, invoke tools, and connect through MCP. Prisma AIRS AI Gateway and AI Runtime Security inspect these interactions inline to stop threats, protect code and secrets, and enforce policy before risk becomes impact. Secure AI from prompt to action. https://t.co/uqCf44E4Yd

    274904.7K viewsView on X
  • Sep 1, 20262.1x their median

    A strong finish to a record year 📈 Our fiscal Q4’26 results: 🟧 Revenue +34% YoY to $3.41B 🟧 NGS ARR +63% YoY to $9.10B 🟧 RPO +34% YoY to $21.2B 🟧 Nearly $1B of Net New NGS ARR added in Q4 Read the full results. https://t.co/glG2NFpAgK $PANW https://t.co/NMyNX0g0d7

    286313.5K viewsView on X
  • Sep 28, 20262.1x their median

    When a threat gets past the perimeter, every second counts. @nikesharora joined @_IainMartin at #HumanX to discuss why cybersecurity needs to move from days-long detection and response to near-real-time. https://t.co/MEQI9FERbW

    323203.8K viewsView on X
  • Sep 18, 20262.1x their median

    AI has left the sandbox. Model-level guardrails fail in production. Gartner named Palo Alto Networks a Market Shaper in the September 2026 Gartner® Emerging Market Quadrant for AI Application Security - Established Vendors. Prisma AIRS, our AI Security platform, delivers systemic control across agent identities, multi-turn paths, and runtime threats. Read the report. https://t.co/zvqp2Grfs1

    304302.6K viewsView on X
  • Sep 30, 20261.9x their median

    AI can find vulnerabilities at a speed and scale that changes the equation for defenders. @nikesharora spoke with @FortuneMagazine about what it takes to secure the AI era and stay ahead of what comes next. Read the full profile. https://t.co/GpAq2rtfXH https://t.co/oQw2AdzUxN

    295102.9K viewsView on X
  • Sep 26, 20261.8x their median

    Lateral movement through private cellular networks in OT was long considered theoretical. Not anymore. A recent breach at an energy facility exposed a critical blind spot: device-to-device traffic inside private APNs. See why Zero Trust must extend to cellular networks. https://t.co/8QSTMJFqOP

    252423.0K viewsView on X
  • Sep 3, 20261.7x their median

    “You cannot deploy AI successfully if you don’t get cybersecurity right.” Our CEO @nikesharora joined @jimcramer to discuss the $1T cybersecurity modernization opportunity as attacks move at machine speed. More via @CNBC. https://t.co/ai9P15RrJi

    217113.1K 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

#humanx#postquantum

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 18 interactions against 130K followers, an engagement rate of 0.013%. Measured over 40 original posts, its engagement rate beats 23% of 21,185 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 2.8K times each, and 0.623% of those impressions turn into an interaction. That is about 2.16% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.7 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 40 posts sampled, 83% carry an image or video and 80% link out. The account's strongest tracked post pulled 60 interactions, about 3.3x its own typical post. Recurring topics include #humanx, #postquantum.

What is Palo Alto Networks's engagement rate on X?
Palo Alto Networks (@PaloAltoNtwks) has an engagement rate of 0.013%, based on the median interactions across 40 original posts from the last 30 days against 130,206 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.013%, Palo Alto Networks sits above the 10th percentile of the 212,656 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 @PaloAltoNtwks have real engagement?
Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (21,185 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 @PaloAltoNtwks post?
Most posts go out around 15:00 UTC, and Wednesday is its busiest day, at roughly 1.73 posts per day across the measured window.

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