Prophet

Name: Prophet
Brand: Prophet

AI Native

Rehearse every decision before you act.

Est 2020|Raised $5M|1 Ref Customers

LinkedIn 4K|Website|FTEs 30|HQ Melbourne, Victoria, AU

MarketsMarketing Mix Modeling (MMM)

01Competitive Landscape

Narrative analysis

Analytic Partners typically competes on enterprise maturity, services depth, and broader commercial analytics capabilities; Prophet competes on more frequent refresh cycles, simulation features, and its external-variable approach.
Recast differentiates with a focus on measurable predictive performance (holdouts/scorecards) and operational usage.
Open-source Robyn competes as a lower-license-cost alternative but requires in-house data science and engineering resources or agency partners; time-to-value and governance can be challenging.

- Analytic Partners typically competes on enterprise maturity, services depth, and broader commercial analytics capabilities; Prophet competes on more frequent refresh cycles, simulation features, and its external-variable approach. - Recast differentiates with a focus on measurable predictive performance (holdouts/scorecards) and operational usage. - Open-source Robyn competes as a lower-license-cost alternative but requires in-house data science and engineering resources or agency partners; time-to-value and governance can be challenging.

Market adoption trends

There is broader industry momentum behind MMM due to signal loss and privacy-driven changes in measurement. Prophet’s specific market share is not publicly quantified.

	Prophet (official product pages)	Analytic Partners	Recast (official product pages)
Starting Price	Not published (quote-based)	Not published (enterprise sales)	Not published clearly on main site (quote-based)
Typical customer use-case	ANZ enterprises seeking a simulation-capable MMM platform with frequent refreshes; teams seeking scenario simulation	Large enterprises needing high-touch commercial analytics/MMM	Teams prioritising model validation, holdout forecasting and operational refresh cycles
Key Strength	Emphasis on simulation, external variable library, and frequent refresh cycles (vendor-stated)	Enterprise maturity, services depth, and benchmarking	Emphasis on forecast validation and refreshed scorecards
Key Weakness	Limited independent reviews/case studies publicly; pricing opacity	Often expensive/consulting-heavy; longer timelines	Less transparent public pricing; requires data readiness