Head-to-head comparison
national research and polling group (nrpg) vs iri
iri leads by 10 points on AI adoption score.
national research and polling group (nrpg)
Stage: Early
Key opportunity: AI can automate survey design, analysis, and sentiment detection to deliver faster, deeper insights from unstructured data like open-ended responses and social media.
Top use cases
- Automated Survey Analysis — Use NLP to analyze open-ended responses at scale, categorizing sentiments and extracting key themes, reducing manual cod…
- Predictive Trend Modeling — Apply machine learning to historical polling data to forecast public opinion shifts and election outcomes with greater a…
- Dynamic Sample Optimization — Leverage AI to identify and correct for sample bias in real-time during data collection, improving representativeness.
iri
Stage: Mid
Key opportunity: Deploying AI-driven predictive analytics and generative AI to automate insight generation from disparate retail and consumer data, dramatically reducing time-to-insight for CPG clients.
Top use cases
- Automated Market Mix Modeling — AI models continuously analyze sales, pricing, and promotion data to optimize marketing spend allocation and predict ROI…
- Synthetic Data Generation — Generate synthetic consumer panels and store-level data to fill coverage gaps, enhance model training, and simulate mark…
- Natural Language Insight Summarization — Use LLMs to automatically scan earnings calls, social media, and news, summarizing key trends and sentiment for client c…
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