Pricing
Priced as a thesis,
not a discount.
Bayesin is pre-launch — final tiers and numbers aren't set yet. Here's the stance driving them.
MMM at every tier, not an add-on
Funnel.io and comparable platforms price mix-modeling and attribution as an expensive add-on because historically it needed a data-science team and dedicated infrastructure. Bayesian fitting is computationally cheap — minutes of CPU — so Bayesin treats it as commodity capability and includes it standard, not gated behind an enterprise plan.
Rigor over hype
The product refuses to publish a model fit it cannot defend: it rejects a fit when contribution exceeds observed revenue, when nothing is attributed to media, or when the sampler hasn't converged. That refusal is the credibility mechanism a lower number can't buy.
Industry-agnostic by construction
One product, one price structure, works across verticals — because vocabulary, not code, changes per organization. Nothing here is priced or gated by industry.
For context: Funnel.io's Data Hub runs $200/month and up, with its Measure add-on (mix modeling) priced around $2,250/month on top. Funnelytics runs $39–$349/month flat, without a mix-modeling layer. Bayesin's position is that this shouldn't be a luxury tier.
Questions
Is pricing set yet?
Not yet — final tiers and numbers are still being finalized. What's fixed is the thesis: Bayesian MMM ships at every tier.
Is there a free trial?
Undecided. Whether a self-serve trial exists, and whether it requires a card, is one of the open questions we're resolving before launch.
How do I get in?
Join the waitlist. We're reaching out as access opens up, alongside early walkthroughs on request.
Which data sources are supported?
Every connector on the Integrations page, on every tier, from day one.