Index › GTM › Marketing › Paid ads › LinkedIn Campaign Manager vs Adalysis
Search and social advertising platforms · November 2026 Edition

LinkedIn Campaign Manager vs Adalysis

One of fourteen models named LinkedIn Campaign Manager first on the direct prompt; zero named Adalysis. LinkedIn Campaign Manager was named by thirteen of the fourteen models and Adalysis by eleven and LinkedIn Campaign Manager carries 25 labels and Adalysis 20, so the shares are not directly comparable.

LinkedIn Campaign Manager

accepted challenger

By LinkedIn, Sunnyvale, United States, founded 2002. Named in seven categories this edition.

Adalysis

accepted challenger

Named in one category this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 18; printed, not drawn.
Labels2520A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, LinkedIn Campaign Manager reading right to left. Rank and label count are printed, not drawn.Optmyzr vs LinkedIn Campaign Manager · Optmyzr vs Adalysis · Google Ads vs LinkedIn Campaign Manager

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the search and social advertising platforms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
LinkedIn Campaign ManagerFirst choices, of fourteen modelsAdalysis
Direct10
Paraphrase11
Comparative00
Budget-constrained00
Scale-constrained01
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where LinkedIn Campaign Manager and Adalysis stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
LinkedIn Campaign Manager Adalysis first choice named as an alternative argued againstblank: not namedEach cell is one answer, LinkedIn Campaign Manager on the left and Adalysis on the right.

The direct prompt

The plain question, one answer per model, grouped by where LinkedIn Campaign Manager and Adalysis stood in it.

LinkedIn Campaign Manager first, Adalysis not the choice

1 of 14 modelsAdalysis was named in the answer but not as the choice, or not at all.
Muse Glimmer 30BGoogle Ads, LinkedIn Campaign Manager alternatives: ActiveCampaign, Adzooma, HubSpot Ads, Marin Software, Optmyzr, Skai

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5HubSpot Ads, Metadata.io alternatives: Google Ads, LinkedIn Campaign Manager, Marin Software
Perplexity SonarHubSpot Marketing Hub alternatives: 6sense, Demandbase, Google Ads, LinkedIn Campaign Manager, Metadata.io, Microsoft Advertising
Grok 4.20HubSpot Ads alternatives: AdRoll, Adalysis, Google Ads, LinkedIn Campaign Manager, Optmyzr
Mistral SmallStackAdapt alternatives: Demandbase, Google Ads, LinkedIn Campaign Manager, Smartly
Kimi K2Metadata.io alternatives: AdRoll ABM, Adalysis, Madgicx, Optmyzr

Neither was named

8 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniSkai alternatives: Adobe Advertising, Google Search Ads 360, Smartly
Gemini 3.5 FlashMetadata.io alternatives: AdRoll ABM, Demandbase, Optmyzr
DeepSeek V4 FlashAdRoll ABM alternatives: Madgicx, Optmyzr
Llama 4 Maverickno first choice
Qwen 3.7 FlashOptmyzr alternatives: Demandbase, Marin Software, StackAdapt
GLM 4.7 FlashXHubSpot Ads alternatives: AdEspresso, Marin Software
MiniMax M2.5Metadata.io alternatives: 6sense, AdRoll ABM, Demandbase, HubSpot Ads
GPT-6 LunaOptmyzr alternatives: HubSpot Ads, Skai

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
LinkedIn Campaign Manager leads by five points.
LinkedIn Campaign Manager5%#8 of 14
Adalysis0%#– of 14
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
LinkedIn Campaign Manager4%#7 of 18
Adalysis4%#8 of 18
The full mid-market standing →
Enterprise
Level: the same share of first choices.
LinkedIn Campaign Manager0%#– of 10
Adalysis0%#10 of 10
The full enterprise standing →

What the models said about LinkedIn Campaign Manager

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“LinkedIn Campaign Manager for paid social (your primary B2B targeting platform)” MiniMax M2.5 · paraphrase prompt · first choice
“start with LinkedIn Ads + Google Ads for media” Muse Glimmer 30B · direct prompt · first choice

What the models said about Adalysis

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“Optmyzr / Adalysis: Best-in-class for Paid Search optimization and rule-building.” Qwen 3.7 Flash · scale prompt · first choice
“Optmyzr and Adalysis are the best self-serve options” Mistral Small · paraphrase prompt · first choice
“Optmyzr or Adalysis are excellent choices if your primary spend is on Google/Microsoft Ads” Kimi K2 · direct prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.