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Territory and quota planning · November 2026 Edition

Fullcast Plan vs Varicent Territory and Quota Planning

Three of fourteen models named Fullcast Plan first on the direct prompt; zero named Varicent Territory and Quota Planning. Fullcast Plan was named by fourteen of the fourteen models and Varicent Territory and Quota Planning by eleven and Fullcast Plan carries 31 labels and Varicent Territory and Quota Planning 23, so the shares are not directly comparable.

Fullcast Plan

accepted challenger

Named in one category this edition.

Named in one category this edition.

First-choice share6%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%35%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 13; printed, not drawn.
Labels3123A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Fullcast Plan reading right to left. Rank and label count are printed, not drawn.CaptivateIQ Planning was named alongside these two in fourteen of the fourteen direct answers. CaptivateIQ Planning vs Fullcast Plan · CaptivateIQ Planning vs Varicent Territory and Quota Planning · Everstage vs Fullcast Plan

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 territory and quota planning page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Fullcast PlanFirst choices, of fourteen modelsVaricent Territory and Quota Planning
Direct301 against Varicent Territory and Quota Planning
Paraphrase00
Comparative23
Budget-constrained003 against Fullcast Plan · 4 against Varicent Territory and Quota Planning
Scale-constrained011 against Varicent Territory and Quota Planning
Negative202 against Varicent Territory and Quota Planning
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.

Across every category in the November 2026 Edition, Fullcast Plan and Varicent Territory and Quota Planning were named in the same answer forty-five times, of the 94 answers naming Fullcast Plan and the 101 naming Varicent Territory and Quota Planning. In those answers Varicent Territory and Quota Planning took the first choice seven times and Fullcast Plan six.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Fullcast Plan and Varicent Territory and Quota Planning 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
Fullcast Plan Varicent Territory and Quota Planning first choice named as an alternative argued againstblank: not namedEach cell is one answer, Fullcast Plan on the left and Varicent Territory and Quota Planning on the right.

The direct prompt

The plain question, one answer per model, grouped by where Fullcast Plan and Varicent Territory and Quota Planning stood in it.

Fullcast Plan first, Varicent Territory and Quota Planning not the choice

3 of 14 modelsVaricent Territory and Quota Planning was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashFullcast Plan alternatives: CaptivateIQ Planning, Pigment, Salesforce Maps, Salesforce Sales Planning, Xactly, Xactly AlignStar
GLM 4.7 FlashXCaptivateIQ Planning, Fullcast Plan alternatives: QuotaPath, Salesforce Sales Planning
GPT-6 LunaFullcast Plan alternatives: CaptivateIQ Planning, Salesforce Sales Planning

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.
Perplexity SonarCaptivateIQ Planning alternatives: Fullcast Plan, Pigment, QuotaPath
Grok 4.20CaptivateIQ Planning alternatives: Fullcast Plan, QuotaPath
Mistral SmallCaptivateIQ Planning, Lative alternatives: Fullcast Plan, Xactly, ZoomInfo
DeepSeek V4 FlashCaptivateIQ Planning alternatives: Fullcast Plan, Pigment
Qwen 3.7 FlashCaptivateIQ Planning alternatives: Fullcast Plan, QuotaPath, Visdum, Xactly

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5CaptivateIQ Planning alternatives: Maptive, Pipedrive, Salesforce Maps, Salesforce Sales Planning, eSpatial
GPT-5.4 miniAnaplan Territory & Quota Planning alternatives: CaptivateIQ Planning, Vena
Llama 4 MaverickCaptivateIQ Planning
Kimi K2CaptivateIQ Planning alternatives: QuotaPath, Visdum
MiniMax M2.5CaptivateIQ Planning alternatives: QuotaPath, Vena, Xactly
Muse Glimmer 30BCaptivateIQ Planning alternatives: QuotaPath

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
Fullcast Plan leads by six points.
Fullcast Plan6%#5 of 16
Varicent Territory and Quota Planning0%#14 of 16
The full small business standing →
Mid-marketThe figures above
Fullcast Plan leads by four points.
Fullcast Plan6%#3 of 13
Varicent Territory and Quota Planning2%#6 of 13
The full mid-market standing →
Enterprise
The order flips: Varicent Territory and Quota Planning leads at enterprise.
Varicent Territory and Quota Planning29%#2 of 9
Fullcast Plan2%#5 of 9
The full enterprise standing →

What the models said about Fullcast Plan

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

“Avoid initially: CaptivateIQ, Fullcast, Anaplan, and Varicent.” Perplexity Sonar · budget prompt · hard negative
“not an enterprise suite like Anaplan, Fullcast, Varicent, or Xactly, because those are typically sold as custom-quoted platforms” GPT-5.4 mini · budget prompt · soft negative
“look at fuller platforms like Fullcast or CaptivateIQ (though these are pricier)” DeepSeek V4 Flash · budget prompt · soft negative
“well-reviewed for RevOps-centric territory + quota planning; main complaints are a learning curve, but users consistently praise the living territory model” DeepSeek V4 Flash · negative prompt · first choice
“Choose Fullcast or CaptivateIQ if you want territory + quota planning tightly aligned with compensation and governance workflows.” MiniMax M2.5 · comparative prompt · first choice
“I'd start with CaptivateIQ or Fullcast. Both offer the right balance of features, pricing, and AI capabilities” GLM 4.7 FlashX · direct prompt · first choice

What the models said about Varicent Territory and Quota Planning

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

“Avoid initially: CaptivateIQ, Fullcast, Anaplan, and Varicent.” Perplexity Sonar · budget prompt · hard negative
“Avoid | BoogieBoard Max, eSpatial Advanced, Varicent” Qwen 3.7 Flash · budget prompt · hard negative
“Varicent reviews frequently note they're powerful but have a steep learning curve and are overkill for basic territory planning” DeepSeek V4 Flash · negative prompt · soft negative
“1. Varicent (formerly IBM SPM) Comprehensive SPM suite with strong territory optimization, quota modeling, AI-driven planning” Grok 4.20 · comparative prompt · first choice
“Need quotas, territories, capacity, and compensation connected? Start with Varicent or Xactly.” GPT-6 Luna · comparative prompt · first choice
“SPM suites like CaptivateIQ or Varicent often emerge as sweet spots” Grok 4.20 · scale prompt · first choice
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.