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Index › GTM › Products › PyMC-Marketing · November 2026 Edition

Attribution and marketing mix modeling · Named, not ranked

PyMC-Marketing

–Too few to rank

5/14Models named it

1First choices

1Warnings

November 2026 Edition · all company sizes counted.

Ranked inAttribution and marketing mix modeling #17 mid-market

Gane, the publisher, sells software in Attribution & MMM, where this product is measured. It is measured there by the same method as every other product. How the conflict is handled.

What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. PyMC-Marketing has 5.

Why models recommend it

“Best for a limited budget, if you have some analyst/data-science help: PyMC-Marketing”GPT-5.4 mini · Budget-constrained question · first choice

“An open-source Python package built specifically for Bayesian MMM and customer lifetime value (CLV) modeling.”Gemini 3.5 Flash · Budget-constrained question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as PyMC-Marketing, over the 10 answers that named it, and how often each was the first choice instead.

Product	Named together	Picked instead
Meta Robyn	10	2	View →
Google Meridian	9	2	View →
Google Analytics 4	6	3	View →
Measured	6	2	View →
Recast	6	1	View →
Triple Whale	6	1	View →
Northbeam	6	0	View →
Rockerbox	4	1	View →
Ruler Analytics	4	1	View →
Sellforte	4	1	View →

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named PyMC-Marketing came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 10 of the 10 answers that named PyMC-Marketing and are not a share of its labels.

Domains cited

usermaven.com6

admetrics.io4

cassandra.app4

cometly.com4

github.com4

measured.com4

sellforte.com4

aidigital.com3

digitalapplied.com3

link.springer.com3

No domain is on file for PyMC-Marketing, so its own site is not marked.

Pages cited

admetrics.io/compare/best-marketing-mix-modeling-tools-software4

digitalapplied.com/blog/marketing-mix-modeling-2026-mmm-vs-attribution-playbook3

link.springer.com/article/10.1007/s40547-026-00161-43

mammoth.io/blog/marketing-attribution-software3

prettyinsights.com/best-marketing-attribution-tools3

spotsaas.com/list/marketing-attribution-software/for-small-business3

aboutmartech.com/blog/how-to-choose-attribution-software2

aidigital.com/blog/media-mix-modeling-tools2

Pages are listed as the models cited them.

By model

How each model answered on PyMC-Marketing across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	1	0	0	1
Gemini 3.5 Flash	0	1	1	2
Perplexity Sonar	0	0	0	0
Grok 4.20	0	0	0	0
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	0	0	0
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	0	1	1
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	0	0	0	0
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	0	1	1