Haus vs Recast

Both tools are listed under Marketing Mix Modeling & Incremental Lift, and both have been fact-checked by a named editor. This page lines up their structured data and quotes each review’s limitations and pricing notes; it does not pick a winner.

Haus

Causal marketing intelligence platform combining geo-lift incrementality experiments, Causal MMM, and an AI media optimization agent.

Pricing: Pricing not disclosed · Autonomy: L3 · Conditional automation · Moat: 3.6/5.0 (Proprietary moat)

Target fit: B2B SaaS, Growth Teams (Web SaaS)

Read the Haus review

Recast

Modern econometrics platform combining continuous Bayesian marketing mix modeling with GeoLift incrementality experimentation to optimize cross-channel.

Pricing: Custom / enterprise pricing · Autonomy: L3 · Conditional automation · Moat: 4.2/5.0 (Proprietary moat)

Target fit: B2B SaaS (Web SaaS)

Read the Recast review

How Haus and Recast differ

Headquarters: Haus in San Francisco, CA, Recast in New York, United States.

Computed from the fields below. Only editor-verified ratings and vendor-sourced prices are compared.

Side-by-side facts

Field	Haus	Recast
Subtrack	Marketing Mix Modeling & Incremental Lift	Marketing Mix Modeling & Incremental Lift
Pricing	Pricing not disclosed	Custom / enterprise pricing
Pricing model	Not disclosed	Enterprise / quote
Free access	No free plan disclosed	No free plan disclosed
Enterprise plan	Not recorded	Yes
AI autonomy level	L3 · Conditional automation	L3 · Conditional automation
Moat tier	Proprietary moat	Proprietary moat
Delivery	Web SaaS	Web SaaS
Audience	B2B SaaS, Growth Teams	B2B SaaS
Headquarters	San Francisco, CA	New York, United States
Fact-checked	Jagmeet Sine, Oct 16, 2026	Sarah Per, Oct 6, 2026

AI Head-to-Head Procurement Simulator · Evidence-Locked Dossier

Haus vs Recast: TCO & constraint stress test

Test how both tools behave under your team size, monthly budget ceiling, CRM ecosystem, and governance guardrails.

1. Team / Seat Scale

2. Monthly Budget Ceiling

3. Primary Stack

4. Guardrail

At 5 seats and a $800/mo ceiling, both Haus and Recast land in the same risk band (High Deal-Risk · Constraint Mismatch).

Haus

High Deal-Risk · Constraint Mismatch

Estimated Floor (5 Seats · Enterprise / Custom)Custom Quote (Pricing not disclosed)Vendor does not publish a self-serve USD floor on its pricing page; requires sales qualification.Sales-gated pricing vs. $800/mo cap (High quote risk)

Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Haus does not disclose a public self-serve floor (Pricing not disclosed). Buyers with a $800/mo cap face high sales-qualification friction.
Sales-Gated Contract Terms: Pricing is available on request through enterprise sales quotes, with customized tiers based on seat counts or usage volume.
Primary Operational Bottleneck: Holdout Opportunity Cost Trade-Off: A fundamental methodological trade-off is that executing statistically valid geo-holdout tests requires temporarily withholding paid media in control regions, creating internal friction during peak seasonal promotions.

Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Haus requires sales-gated custom quoting).

Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Haus order form before signing a 12-month enterprise commitment.

Haus Pricing ↗Full Haus Review →

Recast

High Deal-Risk · Constraint Mismatch

Estimated Floor (5 Seats · Enterprise / Custom)Custom Quote (Custom / enterprise pricing)Vendor does not publish a self-serve USD floor on its pricing page; requires sales qualification.Sales-gated pricing vs. $800/mo cap (High quote risk)

Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Recast does not disclose a public self-serve floor (Custom / enterprise pricing). Buyers with a $800/mo cap face high sales-qualification friction.
Sales-Gated Contract Terms: Commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats.
Primary Operational Bottleneck: Geo-Testing Execution Constraints: Executing matched-market GeoLift experiments requires isolated regional media delivery, creating operational friction for digital platforms lacking precise regional budget gating.

Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Recast requires sales-gated custom quoting).

Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Recast order form before signing a 12-month enterprise commitment.

Recast Pricing ↗Full Recast Review →

Interactive Head-to-Head Scenario Red-Teamer · Fact-Gate Verified

Limitations

Haus

Operational limitations and technical trade-offs include: Holdout Opportunity Cost Trade-Off: A fundamental methodological trade-off is that executing statistically valid geo-holdout tests requires temporarily withholding paid media in control regions, creating internal friction during peak seasonal promotions.

Full limitations in the Haus review

Recast

Operational considerations and platform boundaries include: Data Granularity and Lag: The econometric engine requires aggregated historical time-series data, meaning campaigns need sustained spend volume across multiple weeks before the model identifies incremental signal.

Full limitations in the Recast review

Pricing notes

Haus: Pricing not disclosed

Pricing is available on request through enterprise sales quotes, with customized tiers based on seat counts or usage volume.

Pricing details in the Haus review

Recast: Custom / enterprise pricing

Commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats. Contracts operate on annual subscription structures tied to gross measured media spend, historical data ingestion volume, and dedicated econometric calibration support.

Pricing details in the Recast review

Frequently asked questions: Haus vs Recast

How does Haus pricing compare to Recast in 2026?

Haus is listed at Pricing not disclosed (not disclosed, no free plan disclosed), whereas Recast is listed at Custom / enterprise pricing (enterprise / quote, no free plan disclosed).

How do Haus and Recast compare on AI autonomy and moat depth?

On the MarTechRadar L1–L5 scale, Haus is rated L3 · Conditional automation with a Proprietary moat moat (3.6/5.0), while Recast is rated L3 · Conditional automation with a Proprietary moat moat (4.2/5.0).

Which teams are Haus and Recast built for?

Haus is a Web SaaS product in Marketing Mix Modeling & Incremental Lift designed for B2B SaaS, Growth Teams. Recast is a Web SaaS product in Marketing Mix Modeling & Incremental Lift designed for B2B SaaS.

What are the main limitations of Haus vs Recast?

For Haus: Operational limitations and technical trade-offs include: Holdout Opportunity Cost Trade-Off: A fundamental methodological trade-off is that executing statistically valid geo-holdout tests requires temporarily withholding paid media in control regions, creating internal friction during peak seasonal promotions. For Recast: Operational considerations and platform boundaries include: Data Granularity and Lag: The econometric engine requires aggregated historical time-series data, meaning campaigns need sustained spend volume across multiple weeks before the model identifies incremental signal.

Excerpts are quoted verbatim from each fact-checked review. Last updated Oct 16, 2026.