Market data · published 2026-09-06

Who owns the feed in revenue tooling

Nordic revenue tooling, pulled on 27 August 2026. Nine vendors, 90 days of their public posts, counted against one named market of 170 people.

Gong takes 13.6 market reactions per post. Attention takes 0 from 24 posts. Both numbers come from the same 170 people in the same window.

Below is the full table, the sample it came from, and what the market did with it.

The count: how this revenue tooling market was built

Pulled 27 August 2026. The window is the 90 days before the pull.

We started with the people who reacted to or commented on posts from the revenue tooling vendors in the Nordics. After the title filter, 642 people. The table uses the 170 most active of them, ranked by how often they engaged anything in the category.

Most active means most engagements over the window. That has a bias and we print it: it favours people who use LinkedIn heavily. A buyer who reads without reacting does not appear.

These 170 are not a buying committee. Their titles look right for the category, and a title is a proxy. When we run this for a company, that company strikes out the fits that are wrong and the table gets rebuilt from what is left.

The attention table: market reactions per post in revenue tooling

Sample: 170 most active of 642. Window: 90 days to 27 August 2026. Region: Nordics. Counted: reactions and comments from those 170 on each vendor's public posts.

VendorMarket reactionsReactions per post
Gong32713.6
Outreach26411.0
Salesloft994.1
Clari682.8
Revenue.io331.4
Sybill312.8
Avoma271.1
People.ai120.5
Attention00.0

Attention published 24 posts in the window. None of the 170 touched any of them.

Clari and Salesloft now post as one company. They hold separate rows here because the posts in the window came from two pages, and we would rather show that than merge two numbers after the fact.

Sybill and Clari land on the same rate, 2.8, from different totals. Clari took 68 reactions, Sybill 31. Clari posts more often. The total column answers reach and the rate column answers how a single post performs, and a vendor can lead on one while sitting near the bottom of the other.

The invisible vendor: Attention at 0 from 24 posts

Attention posted 24 times in the 90 days. None of the 170 reacted or commented on any of them.

That is a statement about one sample, in one region, in one window. It is not a verdict on the company or the product. Their posts may be landing with a US market, with existing customers, with investors, with a crowd we did not sample. What the zero says is narrower: the Nordic revenue tooling market as we defined it did not touch them in 90 days.

We print zero as zero and we print the post count next to it, because a zero from 24 posts and a zero from two posts are different facts. Every market we have counted so far has had a vendor sitting in this position.

How Gong wins the feed in revenue tooling

Gong's most-reacted post in the window was about the biggest sales call mistake. 74 market reactions from the 170.

Their data post, on AI discussions going up while teams are not shrinking, took 29.

That gap is the pattern in all four markets we have pulled. Craft beats product news by roughly 2 to 1. A post that teaches somebody how to do the job out-pulls a post that announces what the company built, inside the audience the company built it for.

The 13.6 per post did not come from one viral post either. 327 reactions spread across the window, from a market of 170 people, is a publishing habit rather than a moment.

The person this revenue tooling market follows

We rank voices by how many of the sampled 170 engaged them. Follower count does not enter the calculation.

PersonRoleOf the 170
Brian LaMannaAE at Gong, writes Closed Won29
Abhijit MitraCEO, Outreach24
Laurie Pratt EhrbarCMO, Clari and Salesloft20
Amit BendovCo-founder, Gong17
Steve CoxCEO, Clari and Salesloft16
Nadia RashidCRO, Outreach16

The top of that list is an account executive. He outranks both CEOs in the category and the co-founder of the company he works at, with a newsletter about closing deals.

This is the shape of most voice tables we build. The person a market follows is usually somebody doing the job in public rather than the person running the vendor. For a vendor, that has a practical consequence: the account with the most reach in your category may already be on your payroll, and it is not the company page.

The room: what this market gathers around

Rooms are the places a market meets. Sometimes that is a conference. In this market, in this window, it was not.

What this market gathered around is the consolidation of its own category. Clari and Salesloft now post as one company, and the leadership accounts on both sides carry two of the six voice slots. The market was reacting to the vendors and to the people at the top of them.

We checked the most-reacted posts in the window for events. None of them dominated. We say that plainly because for some markets the room is a merger rather than a venue, and writing in an event that is not there would be an invention. In ecommerce customer-service AI the answer went the other way and the profession's own calendar carried the market.

Method: how these numbers were produced

Definitionmarket reactions per post equals reactions and comments from the sampled market on a vendor's public posts in the window, divided by that vendor's posts in the same window.
Sample170 most active of 642 people, built from competitor engagers in the Nordics, then filtered by title.
Window90 days, pulled 27 August 2026.
Caveata title filter is a proxy. Some of the 170 hold no budget, and real buyers were missed because their title did not match. We write the sampled market, never the buyers.
Zeroprinted as zero, with the vendor's post count next to it.

Full method, including where it is weak: /data/method

One question

If somebody ran this table for your category next week, which row would carry your name?

Questions

No. It means 13.6 reactions and comments per post from the 170 people in this sampled market. Those people carry titles that fit the category, which is not the same as budget or authority. We write the sampled market for that reason.

Because the posts inside the 90 day window came from two company pages, and the reactions were counted against the page that published them. Merging the rows after the fact would hide how the window actually looked. Their leadership accounts appear once each in the voices table, with the joint role.

It is one sample, one region and one window, so it is not a verdict. A vendor at zero here can be doing well with a US audience, with customers, or with a crowd this pull did not sample. What it does say is that the Nordic market we defined did not react to 24 posts.

We publish the post count where it changes how a row reads, which is why Attention's 24 is on the page. The per post column is produced by dividing each vendor's market reactions by that vendor's posts in the same window. Ask us for the count on any row and we will send it.

Get this for your market

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