For brand and consumer insights teams at large companies, Zappi is a consumer insights platform that tests ads and product concepts against always-on consumer panels, delivering results in hours instead of the weeks traditional research takes.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Zappi is working to become the continuous decision system for enterprise consumer-insights teams, combining rapid research, accumulated learning, and predictive testing in one platform. Broader practitioner conversation remains early, while established enterprise adoption and a focused product agenda give the company a clear position. Zappi is expanding ad and concept testing through Amplify AI, AI Quick Reports, and concept-generation tools, pairing human research with synthetic and model-based methods for higher-volume creative evaluation.
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CHEQ
InMobiPepsiCo, McDonald's, Vodafone, Wendy's, SoFi, Pernod Ricard, Haleon, Reckitt
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Business Profile
Established in the early 2010s, Zappi is an independent, 315-person consumer-insights company with $193.8 million in funding. It grew by converting traditional ad and concept research into a self-service software workflow that large brands can run repeatedly across markets. The current business serves enterprise insights, innovation, and advertising teams through research panels, normative data, automated reporting, and predictive creative testing. Customer references include PepsiCo, McDonald’s, Vodafone, Wendy’s, SoFi, Pernod Ricard, Haleon, and Reckitt.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Zappi's agent-facing footprint on file is a public API with its own developer documentation site, covering programmatic access to its testing and panel infrastructure. No MCP server, SDK, or CLI surface is documented alongside it. The build-out so far centers on API-based integration rather than a broader agent toolkit, with no public roadmap details on file for expanding beyond the current API surface.
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