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Informatica engagement report

@Informatica - 99K followers on X

Measured over 15 original posts from a 30-day window, last computed on August 20, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 99K followers
Per impression
0.647%
309 views on a typical post
Reach
0.31%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.5/day
active 40% of days
Peak time
17:00 UTC
Friday

A typical post picks up 2 interactions against 99K followers, an engagement rate of 0.002%. Measured over 15 original posts, its engagement rate beats 7% of 3,899 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 309 times each, and 0.647% of those impressions turn into an interaction. That is about 0.311% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 15 posts sampled, 100% carry an image or video and 93% link out. The account's strongest tracked post pulled 5 interactions, about 2.5x its own typical post. Recurring topics include #ai, #data, #agenticai.

Measured over 15 original posts from a 30-day window, last computed on August 20, 2026. Recurring tags: #ai, #data, #agenticai.

Compared with accounts its own size

Informatica's engagement rate beats 7% of the tracked X accounts closest to it in follower count (3,899 accounts, accounts of similar size (decile 6 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%, Informatica sits above the 10th percentile of the 37,701 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99156.3%
Engagement rate as a share of followers, across the 37,701 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 104,204 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile156.3%

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 Friday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 17:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

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    Trusted context is the new currency for enterprise AI.🪙 In this @InfoWorld article, Robert Kramer highlights how Informatica's data governance & MDM are critical to this shift. See how Informatica & Salesforce are building the data layer for the agent era:https://t.co/drzKJLqqvJ https://t.co/nFtRagehHV

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  • Jun 17, 20262.5x their median

    Among AI-cornerstone organizations, 80% rate data engineering as critical or very important. The 2026 Dresner Data Engineering Market Study explains why and what it means for your roadmap. Get your copy now. https://t.co/9G4LfpywOC #DataEngineering #Analytics https://t.co/m5CUYjcymH

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  • Jul 1, 20262.0x their median

    Your product experiencing may be leaking revenue due to four key pitfalls in your commerce strategy. Learn how intelligent Product Information Management (PIM) can plug the gaps and scale growth for your enterprise in our new eBook. https://t.co/7EPYHLPkx6 #PIM #CX https://t.co/oira63EJfL

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  • Jul 31, 20261.5x their median

    👀 Is your #DataIntegration delivering #ROI? Find out by accessing our framework inspired by real business value assessments. See how Informatica Cloud Data Integration (CDI) can unlock up to $22M in projected value over five years. https://t.co/UyHDt7f5vr https://t.co/AHUOocSoMA

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  • Jul 25, 20261.5x their median

    75% of data leaders say AI adoption has already outpaced governance. How can CDOs get on top of this? By building a foundation agents can trust and making five strategic shifts. #AgenticAI #DataGovernance #TrustedData https://t.co/VQMDVBm3kf https://t.co/Eu8P477smu

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  • Jul 10, 20261.5x their median

    51% of data leaders expect to manage 10+ tools in 2025. Break free from tool sprawl with Informatica Intelligent Data Management Cloud™. Discover 6 steps to transform data chaos into measurable business value. https://t.co/KZwUWeBmlC #DataLeadership #CDO https://t.co/xozNnS2yiP

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  • Jul 9, 20261.5x their median

    Need solid financial metrics to justify #AI adoption? Learn how to quantify the business impact of CLAIRE® GPT, our AI-powered natural language interface that drives measurable value through faster workflows, easier #data access and smarter insights. https://t.co/scSyx7Ftq1 https://t.co/aFB5uWXFHY

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  • Jun 26, 20261.5x their median

    Intelligent customer experiences are the new standard, but without unified data, engagement slips through the cracks. Find out why a trusted data layer is key to AI-driven CX and turn customer data into a competitive edge. https://t.co/vV57cqa0mx #AI #CX https://t.co/2BkXUNO39A

    3000262 viewsView on X
  • Jun 17, 20261.5x their median

    Informatica announced four new capabilities advancing its partnership with @databricks last month at Informatica World and now you can get a firsthand look at Databricks Data & AI Summit! Read it here and visit us at Booth #204 to learn more: https://t.co/ZfXSUcRaEl https://t.co/DDDUprCfo7

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  • Jun 11, 20261.5x their median

    Only 8% of companies feel in control of their supply chain risks — often because data is scattered. Mitigate these risks by unifying supplier, product and location data into a single source of truth for real-time insights. https://t.co/jbH1IbF85p #SupplyChain #AI https://t.co/oESF8e8mKU

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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

#ai#data#agenticai#cx#datamanagement

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 2 interactions against 99K followers, an engagement rate of 0.002%. Measured over 15 original posts, its engagement rate beats 7% of 3,899 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 309 times each, and 0.647% of those impressions turn into an interaction. That is about 0.311% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.5 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 15 posts sampled, 100% carry an image or video and 93% link out. The account's strongest tracked post pulled 5 interactions, about 2.5x its own typical post. Recurring topics include #ai, #data, #agenticai.

What is Informatica's engagement rate on X?
Informatica (@Informatica) has an engagement rate of 0.002%, based on the median interactions across 15 original posts from the last 30 days against 99,379 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Informatica sits above the 10th percentile of the 37,701 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 @Informatica have real engagement?
Its engagement rate beats 7% of the tracked X accounts closest to it in follower count (3,899 accounts), which puts it in the bottom 10% 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 @Informatica post?
Most posts go out around 17:00 UTC, and Friday is its busiest day, at roughly 0.5 posts per day across the measured window.

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