# Nielsen Marketing Mix Modeling: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 12 judge labels across 1 category by 8 of 14 models. Page: https://www.gane.ai/index/gtm/vendors/nielsen-marketing-mix-modeling

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Attribution and marketing mix modeling](https://www.gane.ai/index/gtm/marketing/attribution-mmm/index.md) | 0% | 147 | 75% | 12 |

## What the models said for it

- "Nielsen Marketing Mix Modeling — Best" (Muse Glimmer 30B, Attribution & MMM)

## And against it

- "Received a 42% negative rate, with concerns about legacy infrastructure, slow updates, and limited flexibility" (Mistral Small, Attribution & MMM)
- "Avoid For Limited Budgets: Enterprise tools like Adobe Analytics, Measured, Recast, or Nielsen" (Grok 4.20, Attribution & MMM)
- "Traditional slow-moving models; expensive and not agile enough" (Kimi K2, Attribution & MMM)
- "$500K–$3M/yr — overkill and overpriced for mid-market budgets" (DeepSeek V4 Flash, Attribution & MMM)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.20 | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 1 | 2 | 3 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 3 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 1 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |

## Sources returned with these answers

The sites and pages cited by the answers that named Nielsen Marketing Mix Modeling, from 35 of the 39 answers that named it (only the models that return a source list).

### Domains cited

- aboutmartech.com: 18
- usermaven.com: 18
- gane.ai/index: 17
- measured.com: 15
- sellforte.com: 15
- admetrics.io: 14
- improvado.io: 12
- cometly.com: 10
- mammoth.io: 9
- vexpower.com: 9

### Pages cited

- https://admetrics.io/compare/best-marketing-mix-modeling-tools-software: 14
- https://aboutmartech.com/blog/how-to-choose-attribution-software: 11
- https://mammoth.io/blog/marketing-attribution-software: 9
- https://vexpower.com/mmm/marketing-mix-modeling-software: 9
- https://vezadigital.com/post/marketing-attribution-tools: 9
- https://www.gane.ai/index/gtm/marketing/attribution-mmm/2026-09/enterprise: 7
- https://usermaven.com/blog/enterprise-marketing-attribution-platforms: 7
- https://research.oz.spotlightar.com/reports/magic-quadrant-marketing-mix-modeling-solutions-2024/leaders: 6

## The company

Nielsen Company; http://www.nielsen.com/; Hamburg, Germany; founded 1946; public, NLSN on New York Stock Exchange. From Wikidata, fetched 2026-09-14.

## In its own words

What Nielsen Marketing Mix Modeling's own pages state, read 2026-10-05. Stated by the vendor, not checked by the index.

- Positioning: マーケティング・ミックス・モデリングの活用方法についてのインサイトと戦略 (https://www.nielsen.com/insights/2021/marketing-roi)
- For: 企業のCMOやマーケティング担当者 (https://www.nielsen.com/insights/2021/marketing-roi)
- Customers named: TikTok

## Record

- Method: https://www.gane.ai/index/gtm/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/gtm.