> For the complete documentation index, see [llms.txt](https://resource.consumr.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://resource.consumr.ai/release-notes/release-notes-library/november-2025.md).

# November 2025

Launch of Quantitative Research (Surveys)

## consumr.ai launches Quantitative Research through  "Surveys" powered by real and verifiable consumer data

**Date:** November 23rd, 2025

***

We are excited to announce an important expansion to our Quantitative Research capabilities. After the U.S. launch earlier this month—powered by ACS demographic universes—we are now extending quant surveys to **21 additional countries**. This update marks a major acceleration of our multi-market research engine and strengthens consumr.ai’s position as the world’s first platform that unifies **Focus Groups, Group Meetings, and Surveys** using **real and verifiable consumer data**.

With this expansion, our research pillar now has true global breadth: qual, quant, and signals working together in a single workflow, across markets that matter to our customers.

### **What’s New in This Update (Phase 1.5: Global Quant Expansion)**

#### **🌍 Newly Supported Quant Countries**

Quantitative surveys are now available for the following markets:

**UAE, Australia, Belgium, Canada, Switzerland, France, United Kingdom, Germany, Indonesia, India, Italy, Japan, South Korea, Mexico, Netherlands, Philippines, Singapore, Saudi Arabia, Spain, Thailand, Vietnam**

This brings our total country coverage to **22 markets** (including the U.S.).

#### **🧭 Universe & Weighting Logic**

* **United States**\
  Uses **ACS (American Community Survey)** demographic universes—the gold standard for age, gender, and income projections.
* **21 International Markets**\
  Universes are constructed using:
  * **Total Meta audience distributions** (age × gender) for each market
  * **Reliable macro-economic income data** from sources such as the **World Bank** or equivalent national data repositories
  * Additional parameter-level normalizations depending on availability and data quality

This ensures our respondents (mini-twins) are always projected onto **real, verifiable market populations**, not synthetic or estimated blends.

### **Why This Matters**

With this update, consumr.ai now offers a uniquely integrated research system:

#### **1) Qualitative Depth (AI Twins)**

Focus Groups, Group Meetings, Interviews, Brainstorms — allowing teams to explore *why* consumers think and behave the way they do.

#### **2) Quantitative Scale (Surveys)**

Quick Polls, Custom Short Surveys, Brand Health Snapshots — giving teams statistically valid answers built on **respondent universes**, **weighting**, and **MoE/Deff/n\_eff** guardrails.

#### **3) Digital Study**

This is where you will be able to combine real performance data with consumer insights. Search, performance, and analytics integrations that show what consumers *actually do* in the real world.

With multi-country quant now activated, these three pillars come together more powerfully than ever. A user can explore the *why*, validate it with *how many*, and confirm it with *what really happens* — all inside one flow, with real consumer grounding across markets.\
\
This section with also carry the already available, "Answer Engine Influence Study"

This is the foundation for globally scalable research that doesn’t rely on synthetic shortcuts or black-box modeling.

### **Scope of This Release**

**Available Now (U.S. + 21 Markets):**

* Quick Poll (1–3 Questions)
* Custom Short Survey (7–10 Questions)

### **What’s Next**

**In Progress (not a part of this release) - Coming early 2026**

* In Quant Research
  * Standard Survey: Rigorous templates for brand tracking, segmentation or media consumption habits.
* Concept Testing that includes: 
  * Creative Testing: Evaluate ads, packaging, and landing pages with appeal, clarity and intent
  * Product Testing: Testing product concepts with appeal, uniqueness and purchase likelihood
  * Message Prioritization:  Testing multiple propositions with ranking and believability scores
* In Qual Research
  * Creative and Content that will add: 
    * Content Optimization: To improve website copy, emails or long form with marked up feedback

For more information:

* Visit: <https://consumr.ai/consumer-research/quantitative-research/>
* or write to: <info@profitwheel.com>