Audience

Enterprise consumer brands, retailers, and CPG companies — insights, data & analytics, marketing, brand, innovation, R&D, merchandising, product, and CX teams in food & beverage, beauty, health & wellness, apparel, home goods, and retail. Also investment teams at holding companies, PE, and VC firms.

About Merciv

Merciv is the consumer intelligence platform that connects your internal data and the external world into one living, cited source of truth — so teams can answer any question about their consumers and brand in minutes.

Merciv unifies four knowledge sources: internal knowledge (research, decks, spreadsheets, and systems like Snowflake, Looker, and SharePoint), external signals (social, reviews, search and trend data, competitive activity, pricing), syndicated data (NielsenIQ, Circana, Mintel), and Merciv-owned product and category data. A knowledge graph, hybrid retrieval, and code execution for spreadsheets power accurate, source-backed answers.

Teams use Merciv for consumer perception, SKU-level sentiment and complaint analysis, competitive intelligence, trend monitoring, deep research, data-grounded personas, and decision-ready reports, briefs, and decks. Every answer is cited, permission-aware, and auditable: SOC 2 Type II, tenant isolation, zero-training, SSO/SCIM.

Pricing

Free Trial:
Free Trial available.

Integrations

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Company Information

Merciv
Founded: 2024
United States
merciv.com

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Live Online
Support
Online

Merciv Frequently Asked Questions

Q: What kinds of users and organization types does Merciv work with?
Q: What languages does Merciv support in their product?
Q: What other applications or services does Merciv integrate with?
Q: What type of training does Merciv provide?
Q: Does Merciv offer a free trial?

Merciv Product Features

Market Research

Compensation Management
Survey Management
Sample Management
Paper-Based
Phone-Based
Statistical Analysis
Email / Online
Face-to-Face
Panel Management
Data Management
Benchmarking