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Microsoft Mechanics

@MSFTMechanics · Redmond, WA · joined 05 Aug 2013

Why, How & When to use current and forthcoming Microsoft Tech. Hosted by Microsoft Director @DeployJeremy & colleagues. An official @Microsoft video series.

149 063Followers
379Following
33 229Posts total
6.7KViews on collected posts

Postingan terbaru

Block risky tools. Approve the rest. Agent 365 unifies the MCP servers, plugins, and connectors that your agents use. Start here.  https://t.co/15umnQDNRh Govern every AI agent running across your organization with Agent 365. Track agents from Microsoft, Amazon, Google, and https
0:39
1.4K views · 8 likes · 3 reposts · 0 replies Open on X →
Apply sensitivity labels to critical files so they’re automatically protected in workflows and AI interactions. Watch here. https://t.co/IEMqdU3NxJ Take control of your data by discovering sensitive information across every file type and location with Microsoft Purview https://
1:04
1.5K views · 9 likes · 3 reposts · 0 replies Open on X →
See how Copilot Analytics and Viva Insights track productivity, adoption, and ROI—automatically and securely inside your tenant. Jeremy Chapman will show you how to translate usage data into measurable business results in this Microsoft Virtual Training Day for IT leaders. http
1.4K views · 5 likes · 1 reposts · 0 replies Open on X →
Set security policy once. Apply it every time. Agent 365 templates span Entra, Purview, Defender, and Intune for the agents you publish. Get started.  https://t.co/15umnQDNRh Govern every AI agent running across your organization with Agent 365. Track agents from Microsoft, https
0:35
1.2K views · 3 likes · 0 reposts · 0 replies Open on X →
Standardize sensitive data definitions across your organization to get a clear, consistent view of risk. Start with unified data classification in Microsoft Purview. https://t.co/IEMqdU3NxJ Take control of your data by discovering sensitive information across every file type ht
0:58
1.2K views · 5 likes · 0 reposts · 0 replies Open on X →

Dibandingkan akun berukuran sama

5 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. di bawah akun sekelasnya baik pada jangkauan maupun interaksi.

Median tayangan1 395akun ini6 050median untuk 100K–1M
Jangkauan, %0.94%akun ini1.61%median untuk 100K–1M
Interaksi, %0.43%akun ini1.01%median untuk 100K–1M
MetrikAkun iniMedian untuk 100K–1MRasio
Median tayangan per postingan1 3956 0500.23×
Jangkauan (tayangan ÷ pengikut)0.94%1.61%0.58×
Tingkat interaksi0.43%1.01%0.42×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.2K17 Sep
1.2K
1.4K
1.5K
1.4K18 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.43%17 Sep
0.26%
0.43%
0.82%
0.76%18 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.01%.

What the audience does

Likes53.6%30 in total
Reposts12.5%7 in total
Bookmarks33.9%19 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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