B
Evidence Grade B
Safe to Cite
Dated
47%
47% -- marketing mix model accuracy for marketing mix models (2019)
Attribution:
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
47%
Unit
Percentage
Data Vintage
2019
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Score breakdown
Extraction
95
Source Trust
90
Citation Chain
90
Independence
30
Methodology
45
Freshness
95
Sources (4)
Nielsen
Primary
Tier A
https://www.nielsen.com/pl/insights/2020/come-out-on-top-post-covid-19-through-advertising-and-accur… ↗
Source Article
Wyjdź na szczyt po COVID-19 dzięki reklamie i dokładnym pomiarom
Nasze zachowania konsumenckie zmieniły się drastycznie od czasu blokady spowodowanej COVID-19. Czas spędzany z mediami wydłuża się, rośnie liczba zakupów cyfrowych, a konsumenci próbują nowych rzeczy z powodu wyczerpania wielu produktów i zmieniających się potrzeb. Może to wymagać ponownego skupieni…
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https://www.nature.com/
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https://www.emarketer.com/
2026-08-19
factmr.com
https://www.factmr.com/
2026-08-19
Original Research
Nielsen
· Original study ↗
Methodology
Nielsen's meta-analysis of marketing mix models
Segmentation
Industrymarketing
Cite this stat
Plain Text
marketing mix models: 47% marketing mix model accuracy. Source: Nielsen (2019). Via Lighthouse Intelligence -- https://lighthousedata.io/data/nielsen_marketing_mix_study
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<blockquote cite="https://lighthousedata.io/data/nielsen_marketing_mix_study" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>47%</strong> -- marketing mix model accuracy for marketing mix models<br><small>Source: Nielsen (2019) · <a href="https://lighthousedata.io/data/nielsen_marketing_mix_study" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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