Muffin Data

Name: Muffin Data
Brand: Muffin Data

AI Native

Muffin Data is the analytics platform for emerging CPG brands, focused on ease of use, clear answers, and customization.

Est 2020|Raised $500K

LinkedIn 341|Web traffic 2K|FTEs 1|HQ Santa Cruz, California, US

01Competitive Landscape

Narrative analysis

- **Muffin Data vs Crisp:** Confido’s announcement references brands moving from Crisp to Muffin Data; this is anecdotal and should be verified. Crisp publishes pricing information and signals a formal security certification (SOC 2 Type II), which may be relevant to procurement. - **Muffin Data vs syndicated data (NielsenIQ/Circana):** Muffin Data is oriented toward unifying a brand’s operational retail and distributor data and providing operational workflows. Syndicated providers emphasize market measurement and benchmarks. Many brands use operational tooling alongside syndicated measurement.

Market adoption signals

An accelerator listing indicates an early-stage company and an acquisition designation.
Confido’s communications reference a larger installed base for Confido, but that does not directly quantify Muffin Data’s standalone customer count prior to acquisition.

	Muffin Data	Crisp	NielsenIQ (representative alternative)
Starting Price	Not publicly listed (third-party estimates suggest published monthly pricing from the vendor; unverified)	Publicly lists packaged offerings with published annual pricing tiers for retail data integration and analytics (with higher tiers)	Typically enterprise-priced; public starting price not provided
Best For	Emerging CPG food & beverage brands seeking a packaged retail/distributor analytics layer with customization	CPGs needing broad retailer connectivity and a more established integration/governance posture	Brands needing syndicated measurement, category benchmarks, and panel/scan data
Key Strength	Purpose-built CPG workflows: velocity, OOS, promo lift, inventory/forecasting narratives	Broad integration network and a visible formal security certification claim; public packaging and pricing information	Large-scale market measurement with established datasets and industry-standard methodologies
Key Weakness	Limited public security documentation and third-party reviews; pricing opacity	Can be expensive; packaging based on data volumes and tiers that may be heavy for very small brands	Cost and complexity; may be less focused on operational dashboards and more on syndicated analytics

01Competitive Landscape

Narrative analysis

Muffin Data vs Crisp: Confido’s announcement references brands moving from Crisp to Muffin Data; this is anecdotal and should be verified. Crisp publishes pricing information and signals a formal security certification (SOC 2 Type II), which may be relevant to procurement.
Muffin Data vs syndicated data (NielsenIQ/Circana): Muffin Data is oriented toward unifying a brand’s operational retail and distributor data and providing operational workflows. Syndicated providers emphasize market measurement and benchmarks. Many brands use operational tooling alongside syndicated measurement.

Market adoption signals

An accelerator listing indicates an early-stage company and an acquisition designation.
Confido’s communications reference a larger installed base for Confido, but that does not directly quantify Muffin Data’s standalone customer count prior to acquisition.

	Muffin Data	Crisp	NielsenIQ (representative alternative)
Starting Price	Not publicly listed (third-party estimates suggest published monthly pricing from the vendor; unverified)	Publicly lists packaged offerings with published annual pricing tiers for retail data integration and analytics (with higher tiers)	Typically enterprise-priced; public starting price not provided
Best For	Emerging CPG food & beverage brands seeking a packaged retail/distributor analytics layer with customization	CPGs needing broad retailer connectivity and a more established integration/governance posture	Brands needing syndicated measurement, category benchmarks, and panel/scan data
Key Strength	Purpose-built CPG workflows: velocity, OOS, promo lift, inventory/forecasting narratives	Broad integration network and a visible formal security certification claim; public packaging and pricing information	Large-scale market measurement with established datasets and industry-standard methodologies
Key Weakness	Limited public security documentation and third-party reviews; pricing opacity	Can be expensive; packaging based on data volumes and tiers that may be heavy for very small brands	Cost and complexity; may be less focused on operational dashboards and more on syndicated analytics

Muffin Data

01Competitive Landscape

Narrative analysis

Market adoption signals

02Market Map

01Competitive Landscape

Narrative analysis

Market adoption signals

02Market Map