LIS, the LinkedIn Influency Score
The LIS (LinkedIn Influency Score) is a 0 to 100 index, created by Bubble In, that measures how much influence over decision makers an account produces per post published on LinkedIn. It combines three signals: how often the account publishes, how many decision makers from the ideal customer profile it reaches on the median post, and how much engagement that median post receives.
The X-ray is free and asks for no card.
The question the LIS answers
Almost every LinkedIn metric answers “how many people saw this”. The LIS answers something else: how much influence over the people who decide the purchase this account produces with every post it publishes. That is why it is a rate, not a running total. An account that doubles its posts without reaching more decision makers does not move up, because it did not become more influential: it only became louder.
The three signals behind the score
Frequency
How many posts the account publishes per week in the measured window.
It is the easiest signal to move, because it depends only on an internal decision. That is exactly why it carries the least weight: if publishing more were enough, the score would be an editorial calendar.
Decision makers per post
How many people with buying authority inside your ideal customer profile engage with the median post.
This is the signal that rules the score, and the only one volume cannot buy. An account can have plenty of engagement and almost no decision makers: the LIS exists to separate those two cases, which every vanity dashboard blends together.
Engagement per post
Reactions plus comments on the median post.
With no audience at all, audience quality cannot show up. Engagement is the floor that makes the decision maker signal measurable, not the goal itself.
The three signals do not carry equal weight. Decision makers per post is the dominant one, because it is what the product exists to measure; frequency carries the least, because it is the only one you can buy by publishing more. The exact calibration of the scale is proprietary and is not published.
Why the LIS uses the median, not the average
An average per post leaves any score hostage to the one post that goes viral. An account with a single outlier looks consistent when it is not, and the number ends up describing an accident instead of a method.
Measured in the August 2026 edition: in one of the brands on the panel, the single largest post accounted for 60% of all engagement in the period. Its average per post was 246 and its median was 72. The LIS uses the median on both per post signals, so what it measures is the account's typical post, not its best day.
Companies and people are not measured on the same scale
A person publishing twice a week is prolific. A company publishing twice a week is nearly idle. That is why the LIS has two separately calibrated scales, one for company pages and one for personal profiles, and why an LIS of 70 means the same thing inside each of them. Comparing a company score with a person's score is the one use of the LIS that makes no sense.
What counts as a good LIS
The number ranks. The verdict says whether that is good, and it is what lets you read a single account with no panel to compare against. There are four fixed bands over the score.
| Excellent83 or above | A market benchmark. | Sustain what already works and document the method, so it does not depend on one person. |
|---|---|---|
| Good67 to 82 | Comfortably above average. | Attack the weakest of the three signals. The remaining upside is concentrated there. |
| Ok50 to 66 | It works, without standing out. | There is clear upside available, usually in how well topics match the ideal customer profile. |
| Warningbelow 50 | The channel is not delivering. | It calls for a change of approach, not a calendar tweak. |
How to improve your LIS
Write for the people who decide, not for the people who like
Topic, vocabulary and format change who shows up in the comments. Moving from “what we do” to “the problem your role has” is the lever that moves the heaviest signal the most.
Activate the people who already hold the right audience
Executive and specialist profiles reach decision makers the company page never does. A team member publishing consistently raises the brand LIS through a path no ad budget can buy.
Only then, raise the frequency
Publishing more multiplies what you already do. If the typical post reaches no decision makers, a higher cadence multiplies a small number and the score barely moves.
What the LIS is not
It is not the LinkedIn SSI
The Social Selling Index belongs to LinkedIn, is individual, and measures how you use the network, such as searching for people and keeping your profile complete. The LIS is ours, measures the outcome of published content, and works for company pages as well as people.
It is not a follower count
A large base inherited over years does not enter the calculation. The LIS measures what the account produces now, per post published.
It is not raw engagement
A reaction from someone who will never buy counts for very little. The signal that dominates the score is how many decision makers from your ideal customer profile show up.
It is not relative to who else is on the panel
The thresholds are absolute and written into the methodology. Your LIS does not change when a competitor joins or leaves the measurement, and comparing two editions stays valid.
Where the scale came from
The LIS scale was calibrated on the LinkedIn Report of August 2026: 1,696 posts, 42 companies, 7 markets and 8 weeks of publishing. The rubric in force is version 2026.2, and every calibration change creates a new version, because a score that silently changes meaning is useless for tracking anything over time.
Frequently asked questions about the LIS
What is the LIS on LinkedIn?
LIS stands for LinkedIn Influency Score, a 0 to 100 index created by Bubble In that measures how much influence over decision makers an account produces per post published. It works for company pages and personal profiles, on separately calibrated scales.
How is the LIS calculated?
From three signals measured across the posts in the period: publishing frequency, decision makers from the ideal customer profile reached on the median post, and engagement on the median post. Each signal becomes a position on a calibrated scale, and the score is the weighted combination of those positions, with decision makers per post weighing more than the other two.
Is the LIS the same as the LinkedIn SSI?
No. The SSI is a LinkedIn metric, individual, that measures how you use the network. The LIS is a Bubble In metric, measures the outcome of published content, and also exists for company pages.
What is a good LIS?
From 67 up the verdict is “Good”, and from 83 up it is “Excellent”. Between 50 and 66 the account works without standing out, and below 50 the channel is not delivering and needs a change of approach.
Why does the LIS use the median instead of the average?
Because an average per post leaves the score hostage to the post that goes viral. In the August 2026 edition, one brand on the panel had an average of 246 and a median of 72 per post, with a single post accounting for 60% of total engagement. The median describes the typical post, which is the one you can repeat.
Does publishing more raise the LIS?
Only a little, and by design. Frequency carries the least weight precisely because it is the only signal you can buy by publishing more. Without improving reach to decision makers, a higher cadence multiplies a small number.
Does the LIS work for personal profiles or only for companies?
It works for both, on different scales. A person publishing twice a week is prolific and a company publishing twice a week is nearly idle, so a single scale would produce the wrong reading in one of the two cases.
Does my LIS change if a competitor joins the measurement?
No. The thresholds are absolute and do not depend on who else is being measured. That is what makes it possible to compare the same profile across two months, or two companies that never shared a panel.
How do I find out my company's LIS?
Through the free LinkedIn Intelligence X-ray: you provide the company page or the profile, and Bubble In calculates the score, the verdict and a diagnosis of which of the three signals is pulling the number down.
How often is the LIS recalculated?
On every monitoring cycle, over the configured window of weeks. Because the scale is fixed and versioned, the historical series stays comparable across cycles.