Index › Products › LinkedIn Analytics · October 2026 Edition

LinkedIn · 1 category · Named, not ranked

LinkedIn Analytics

6Judge labels

4First choices

0Negative labels

1 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. LinkedIn Analytics was named 3 times in Audience insights, where SparkToro led with 19%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business17 of 167

under the label threshold

Mid-market10 of 155

under the label threshold

Enterprise18 of 147

under the label threshold

In audience insights · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named LinkedIn Analytics for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Audience and consumer insights platforms	Marketing	4%	10 of 155	0%	3	under 10 labels · led by SparkToro at 19%

Movement

This is the first edition on this tier, so no move can be computed for LinkedIn Analytics yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated LinkedIn Analytics across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Mention	Labels
Claude Haiku 4.5	2	1	3
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct3 labels3

Paraphrase1 label1

Comparative0 labelsNone

Budget-constrained2 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative6 labels in all, every segment counted; 4 of the 4 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Start with LinkedIn Analytics (free) and HubSpot Marketing Hub (affordable mid-market pricing)” Claude Haiku 4.5 · Audience insights · direct prompt · first choice

“For most mid-sized B2B companies, I'd suggest starting with LinkedIn Analytics (free)” Claude Haiku 4.5 · Audience insights · paraphrase prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as LinkedIn Analytics, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LinkedIn Analytics was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Google Analytics 43 of 62Not among the top eight

Google Trends3 of 62Not among the top eight

Facebook Audience Insights2 of 62Not among the top eight

6sense2 of 60Not among the top eight

Audiense2 of 60Not among the top eight

Bombora2 of 60Not among the top eight

Delve AI2 of 60Not among the top eight

Hotjar2 of 60Not among the top eight

SparkToro2 of 60Not among the top eight

AdRoll ABM1 of 60Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named LinkedIn Analytics. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 6 of the 6 answers that named LinkedIn Analytics and are not a share of its labels.

Domains cited

delve.ai6

guideflow.com5

g2.com3

pipeline.zoominfo.com3

seo.com3

validatemysaas.com3

worldmetrics.org3

britopian.com2

learn.g2.com2

meltwater.com2

Thirty-two of the thirty-two domain citations in answers naming LinkedIn Analytics came from somebody else's page.

Pages cited

delve.ai/blog/audience-insights-tools6

guideflow.com/blog/best-audience-intelligence-platforms4

pipeline.zoominfo.com/marketing/audience-data-providers3

seo.com/blog/audience-research-tools3

validatemysaas.com/posts/audience-research-tools3

worldmetrics.org/best/audience-insights-services3

meltwater.com/en/blog/top-consumer-insights-tools-companies2

pulsarplatform.com/guides/best-audience-analysis-tools-20262

Pages are listed as the models cited them.

Follow LinkedIn Analytics

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

LinkedIn is the company behind LinkedIn Analytics.

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On record

Wikidata

Website: linkedin.com
Headquarters: Sunnyvale, United States
Founded: 2002
Also from LinkedIn: LinkedIn Accelerate, LinkedIn Ads + Sales Navigator, LinkedIn Ads Manager, LinkedIn Advertising, LinkedIn Audience Network, LinkedIn CTV Ads, LinkedIn Campaign Manager, LinkedIn Creator Marketplace and 16 more

Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when LinkedIn Analytics's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as LinkedIn Analytics, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for LinkedIn Analytics by email, built from the raw record of the edition. It shows:

where LinkedIn Analytics is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name LinkedIn Analytics, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.