Infosys engagement report
@Infosys - 517K followers on X
Measured over 49 original posts from a 30-day window, last computed on October 18, 2026.
Engagement
A typical post picks up 12 interactions against 517K followers, an engagement rate of 0.002%. Measured over 49 original posts, its engagement rate beats 18% 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 2.4K times each, and 0.501% of those impressions turn into an interaction. That is about 0.464% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 49 posts sampled, 100% carry an image or video, 6% are part of a thread and 78% link out. The account's strongest tracked post pulled 229 interactions, about 19x its own typical post. Recurring topics include #ai, #infosysaster, #enterpriseai.
Measured over 49 original posts from a 30-day window, last computed on October 18, 2026. Recurring tags: #ai, #infosysaster, #enterpriseai.
Compared with accounts its own size
Infosys's engagement rate beats 18% of the tracked X accounts closest to it in follower count (21,185 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 31% 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 0.002%, Infosys sits below the 10th percentile of the 212,078 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.694% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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 10:00 UTC, and Thursday 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 78% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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.
- 78% 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 393 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
- Aug 14, 202619x their median
.@iga_swiatek wins her 12th WTA 1000 title. Her words say it all: "Keep pushing, keep growing, and always remember what's ahead." Jazda, Iga! https://t.co/OkPu5CiVoK
- Aug 25, 20263.7x their median
We are delighted to congratulate Mitrankur Majumdar on his appointment as Executive Vice President and Global Head of Services, Utilities, Resources and Energy (SURE) at Infosys. Across SURE, industries are being reshaped by AI, data, cloud, new operating models and rapidly changing client expectations. Mit’s experience in business transformation, strategic AI partnerships and building growth across diverse markets positions him strongly to lead this next phase. Under his leadership, we look forward to helping enterprises move from AI ambition to real business value, building stronger ecosystems and creating sustainable growth across all the SURE industries and beyond. Know more. https://t.co/kAECnPxqs4
- Sep 29, 20262.2x their median
#InfosysTopaz AI Conversations, Hartford chapter brought leaders and innovators together to explore how #AI can move from experimentation to measurable value at scale. Thank you to co-presenters @OpenAI and @UiPath for enriching the dialogue. Watch the highlights. #EnterpriseAI #AgenticAI #ResponsibleAI
- Sep 10, 20262.0x their median
A 5-month comeback. An absolute battle on the court. Seeing you smile after a tough loss says everything about your character, @carlosalcaraz. You fought with your signature heart and hustle. Here’s to a fantastic run in NY and what comes next! ✨ #AlcarazxInfosys #NavigateYourNext
- Sep 7, 20262.0x their median
AI initiatives often fail to scale not because of the models, but because of the data foundations behind them. In this article, @adyaanant explores why traditional governance approaches are struggling to keep pace with #AIadoption. He discusses the need for a shift-left governance model that embeds data quality, accountability, policy enforcement, and risk controls earlier in the data lifecycle, helping organizations build trusted, scalable AI from the start. Read the article: https://t.co/lZRJJKfC3K #AI #DataGovernance #ResponsibleAI #EnterpriseAI #DataManagement
- Sep 5, 20261.9x their median
Software engineering is moving from task-level automation to outcome-led orchestration. “Speed without trust will not scale.” - Satish H.C., Chief Delivery Officer, Infosys In this article, he explores how AI is reshaping the software development lifecycle across design, development, testing, security, deployment, and maintenance. He also highlights why enterprises must rethink delivery models, governance, platforms, and engineering roles to combine AI’s speed with human judgment and accountability. Explore how AI-first principles are redefining software engineering: https://t.co/ajt7gaZklE. #SoftwareEngineering #EnterpriseAI #AIFirst #DigitalTransformation
- Sep 21, 20261.8x their median
The best players don’t wait for the next move. They see it coming. Carlos Alcaraz has mastered his game. Leon is here to help ace your AI strategy. Don’t navigate AI alone. https://t.co/fGRpZMoVBV
- Oct 13, 20261.8x their median
Speaking at the #BloombergNewEconomy Forum, Infosys CEO and Managing Director Salil Parekh highlighted how #AI usage across enterprises is growing at a remarkable pace. He stressed the importance of #upskilling teams and optimizing token usage. He also pointed to the challenge of investing in fast-changing technologies, where large enterprises face significant capex risk. Here, he spoke about #InfosysTopazFabric, which lets clients choose the right option based on their workload, sovereignty requirements and token costs. Watch here: https://t.co/N8krKOB95R @Bloomberg | @BBGNewEconomy
- Sep 15, 20261.8x their median
Agentic AI is in every keynote. The harder question is where it actually holds up in the real world. At our Hyderabad Living Lab, Deepak Visweswaraiah of Pega India makes it tangible, from legacy systems to an agent handling a real breakdown call from start to finish. Watch the full video here: https://t.co/yHwSvRgx0k #Pega #AgenticAI #EnterpriseAI #ConnectedEnterprise #GCC
- Aug 21, 20261.7x their median
"AI is definitely augmenting the workforce. We are currently seeing a human-plus-AI work paradigm, which is increasing people's productivity," says Infosys CHRO, Shaji Mathew. As demand for AI talent continues to outpace supply, organizations are rethinking how they build future-ready workforces. In this insightful conversation with The Hindu Businessline, he discusses how Infosys is advancing AI readiness through large-scale upskilling initiatives, specialized learning programs, and a strong focus on developing talent from within. Read on to explore his insights how AI is reshaping skills, careers, and workforce strategies: https://t.co/K9DW8EfIiW #FutureOfWork #DigitalTransformation #Upskilling #AITalent
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 12 interactions against 517K followers, an engagement rate of 0.002%. Measured over 49 original posts, its engagement rate beats 18% 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 2.4K times each, and 0.501% of those impressions turn into an interaction. That is about 0.464% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 10:00 UTC, and Thursday is the busiest day of the week. Of the 49 posts sampled, 100% carry an image or video, 6% are part of a thread and 78% link out. The account's strongest tracked post pulled 229 interactions, about 19x its own typical post. Recurring topics include #ai, #infosysaster, #enterpriseai.
- What is Infosys's engagement rate on X?
- Infosys (@Infosys) has an engagement rate of 0.002%, based on the median interactions across 49 original posts from the last 30 days against 516,596 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, Infosys sits below the 10th percentile of the 212,078 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 @Infosys have real engagement?
- Its engagement rate beats 18% 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 @Infosys post?
- Most posts go out around 10:00 UTC, and Thursday is its busiest day, at roughly 2 posts per day across the measured window.