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LinkedIn for Data and Analytics companies

The median Data and Analytics founder or executive's typical LinkedIn post gets about 34 reactions, below the benchmark-wide median of 39. The best performing post type in Data and Analytics is personal story at 1.78x the author's own typical post, while the most posted type, event, earns 1.02x.

Last updated
Oct 20, 2026
Written by
Sky Yang, Co-founder and CEO
How we wrote this
Public aggregates for Data and Analytics from the Imagine AI benchmark of 1,000+ B2B companies.
Book a DemoData and Analytics on the benchmark

Data and analytics companies sell to data leaders and engineers who follow practitioners. Founders who share how they think about the problem, not only product news, build the following.

Founders and execs34Median typical post, reactions, 76 accounts. All industries: 39.
Company pages18Median typical post, reactions, 34 pages.
At or above YC median20.2%Of fitted Data and Analytics accounts, against the median YC founder (49 reactions).

Source: Imagine AI Benchmark (benchmark.useimagine.ai), public aggregates, data through Oct 20, 2026. Lift = a post type's reactions as a multiple of each author's own typical post (geometric mean), so big accounts do not skew it. CC BY 4.0. Full dataset.

What works in Data and Analytics

Reactions as a multiple of each author's own typical post. Event is the most posted type here, at 30.2% of posts.

  • Personal Story5.6% of posts1.78x
  • Celebratory Announcement3.9% of posts1.51x
  • Company Update6% of posts1.29x
  • Hiring / Recruiting8.3% of posts1.19x
  • Event30.2% of posts1.02x
  • Product Update14% of posts0.91x
  • Meme / Humor2.3% of posts0.89x
  • Customer Highlight3.3% of posts0.88x
  • Industry Insight26.3% of posts0.7x
Fig. 01: Post types in Data and Analytics, dashed line at 1x. Source: Imagine AI Benchmark (benchmark.useimagine.ai), public aggregates, data through Oct 20, 2026. Lift = a post type's reactions as a multiple of each author's own typical post (geometric mean), so big accounts do not skew it. CC BY 4.0.

Which formats to use

Across the whole benchmark, as a multiple of the account's own typical post.

  • Multi-image1,115 posts2.1x
  • Image2,984 posts1.43x
  • Video1,603 posts1.18x
  • Document324 posts0.89x
  • Text Only3,192 posts0.71x
Fig. 02: Formats, dashed line at 1x. Source: Imagine AI Benchmark (benchmark.useimagine.ai), public aggregates, data through Oct 20, 2026. Lift = a post type's reactions as a multiple of each author's own typical post (geometric mean), so big accounts do not skew it. CC BY 4.0.

Three posts to try in Data and Analytics

[01]

Event

1.02x the author's typical post in Data and Analytics, from only 30.2% of posts.

Read the playbook

What the agent can do.

The agent has its own computer and browser, so it finds the people and the news itself, then drafts every post, comment, connection note and message for you to approve.

[01]On

Writes in each person's voice

Drafts for the company page, founders, executives and employees from each person's best posts. Imagine AI started as the operating system for ghostwriting teams, so sounding like you is the core of the product.

[02]On

Designs the graphics

Multi-image posts, infographics and visuals from your brand kit, made in its own sandbox, with the right people and companies tagged.

[03]On

Has its own computer and browser

It does the legwork itself: finds the people, checks job changes, launches and funding news, reads the sources and fact-checks claims before anything ships.

[04]On

Engages for you

Comments, connection requests and messages on LinkedIn, aimed at the people your posts pull in who match your ICP.

[05]On

Runs one calendar for the team

Plan launches, sequence posts, schedule comments and edit together. Approvals sit with each person or route through one owner.

[06]On

Works from your content filesystem

Positioning, brand kit, decks, campaigns and compliance rules in one place it reads before every draft, remembered across threads.

[07]On

Turns what you have into posts

Events, podcast episodes, videos, decks and call notes become a week of posts across the team.

[08]On

Knows what works

Reads the public benchmark of 1,000+ B2B companies and tracks your competitors, so post types and formats follow your industry's data.

[09]On

Finds the buyers in your audience

Matches everyone who engages to your ICP and hands sales a worked list every week.

[10]On

Maps content to revenue

Connects to HubSpot or Salesforce and traces each closed deal back to its first content touch: post, person, deal stage moves.

[11]On

Plugs into your stack

Engager data over API and webhooks, and the benchmark over MCP for your own agents.

One agent. It starts with LinkedIn.

Always-on publishing

It drafts the post and the graphic

Ask once. It researches, writes in each person's voice, designs the graphic and puts it on the calendar for review.

See it draft a post
Autonomous creation
Fig. 03A: The agent drafts the post and its graphic from Sky's best posts.
Engagement

It comments, connects and messages

It finds the engagers who match your ICP, comments on their posts, sends connection requests and drafts a note. You approve.

See it engage
Engagement
Fig. 04: The agent comments, connects and messages the engagers who match your ICP. You approve.
Team orchestration

One calendar for the whole team

The company page, founders, executives and employees in one plan.

Plan our week
Team calendar
Fig. 03C: One month for the whole team. Add a post, move it, it is scheduled.
Institutional knowledge

It works from your filesystem

Positioning, brand kit, decks and campaigns it reads before every draft.

Open file
Content Filesystem
Fig. 03D: Strategy, positioning and brand files the agent reads before every draft.
Research intelligence

It knows what works

It reads the benchmark of 1,000+ B2B companies before it writes.

See our research
Growth research
Fig. 03E: The agent answers from our YC founder study.

Questions teams ask first.

Method: benchmark methodology