Haus vs Lifesight
Reviewed by MarTechRadar Research Desk. Pricing & entity snapshots verified Oct 16, 2026.
Haus (Web SaaS, Marketing Mix Modeling & Incremental Lift) and Lifesight (Web SaaS, Multi-Touch Attribution & eCommerce Dashboards) address adjacent GTM workflows. On pricing, Haus lists Pricing not disclosed (no free plan disclosed), whereas Lifesight lists Custom / enterprise pricing (no free plan disclosed). Technically, Haus is rated L2 · Workflow copilot with a 4.1/5.0 (Proprietary moat) moat, while Lifesight is rated L2 · Workflow copilot with a 4.0/5.0 (Proprietary moat) moat. Corporate profile: Haus (founded 2021, HQ San Francisco, CA, $61.1M funding) vs. Lifesight (founded 2017, HQ Singapore). Verified by the MarTechRadar Research Desk (Oct 16, 2026 for Haus; Oct 7, 2026 for Lifesight). At a 5-seat team baseline, Haus starts at Custom quote vs Lifesight at Custom quote.
Haus
Causal marketing intelligence platform combining geo-lift incrementality experiments, Causal MMM, and an AI media optimization agent.
5-User Team Cost: Custom quote (Pricing not disclosed) · Autonomy: L2 · Workflow copilot · Moat: 4.1/5.0 (Proprietary moat)
Target fit: B2B SaaS, Growth Teams (Web SaaS)
Lifesight
Agentic unified marketing measurement platform combining Bayesian marketing mix modeling, multi-touch attribution, and incrementality experimentation.
5-User Team Cost: Custom quote (Custom / enterprise pricing) · Autonomy: L2 · Workflow copilot · Moat: 4.0/5.0 (Proprietary moat)
Target fit: B2B SaaS, Marketing Agencies (Web SaaS)
How Haus and Lifesight differ
- Haus is listed under Marketing Mix Modeling & Incremental Lift; Lifesight under Multi-Touch Attribution & eCommerce Dashboards.
- Lifesight was founded earlier (2017) than Haus (2021).
- Headquarters: Haus in San Francisco, CA, Lifesight in Singapore.
- Funding stage: Haus is Series B; Lifesight is Venture-backed.
- Audience: Haus targets Growth Teams; Lifesight targets Marketing Agencies.
- Ecosystem stack: Haus connects with Snowflake, Google BigQuery, Shopify; Lifesight connects with Slack, Twilio Segment, Looker, Tableau.
Computed from the fields below. Only editor-verified ratings and vendor-sourced prices are compared.
When to choose Haus vs Lifesight (and when to walk away)
Choose Haus if
- Target ICP & Stack Fit: You operate as B2B SaaS and Growth Teams requiring a Web SaaS deployment for Marketing Mix Modeling, with verified ecosystem connectivity for Snowflake, Google BigQuery, Shopify.
- L2 Architecture & Defensibility: Anchoring Bayesian marketing mix models directly to empirical geo-holdout lift experiments creates a proprietary causal truth dataset that observational attribution tools cannot easily replicate.
- Commercial Model Fit: Your procurement budget aligns with Pricing not disclosed.
Walk away from Haus if
- 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).
- Walk away if your workflow cannot tolerate holdout test revenue pause: Running valid geo-holdout tests requires pausing or cutting ad spend in control regions for a few weeks, which is hard during peak sales seasons.
- Walk away if needs national ad spend scale is a deal-breaker for your team: Brands with small monthly ad budgets or single-city sales lack enough regional data spread to run accurate geo-lift splits.
Choose Lifesight if
- Target ICP & Stack Fit: You operate as B2B SaaS and Marketing Agencies requiring a Web SaaS deployment for Marketing Attribution, with verified ecosystem connectivity for Slack, Twilio Segment, Looker, Tableau.
- L2 Architecture & Defensibility: Lifesight builds defensibility by unifying top-down Bayesian MMM with bottom-up touchpoint attribution and causal incrementality experiments in a closed-loop agentic workflow, reducing dependency on degraded client-side identity graphs.
- Commercial Model Fit: Your procurement budget aligns with Custom / enterprise pricing.
Walk away from Lifesight if
- Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Lifesight requires sales-gated custom quoting).
- Walk away if your workflow cannot tolerate cold-start data volume requirements: Bayesian MMM calibration requires at least two continuous years of historical media expenditure and transactional data to yield statistically valid media decay and saturation coefficients.
- Walk away if walled-garden latency and schema drift is a deal-breaker for your team: Connector pipelines depend on third-party ad network reporting APIs, leaving attribution models vulnerable to ad-network schema adjustments and retroactive reporting lag.
Side-by-side facts
| Field | Haus | Lifesight |
|---|---|---|
| Subtrack | Marketing Mix Modeling & Incremental Lift | Multi-Touch Attribution & eCommerce Dashboards |
| Pricing | Pricing not disclosed | Custom / enterprise pricing |
| Pricing model | Not disclosed | Enterprise / quote |
| Published pricing tiers | Enterprise / Custom (Custom quote) | Enterprise / Custom (Custom quote) |
| Free access | No free plan disclosed | No free plan disclosed |
| Enterprise plan | Not recorded | Yes |
| AI autonomy level | L2 · Workflow copilot | L2 · Workflow copilot |
| Moat tier & score | 4.1 / 5.0 · Proprietary moat | 4.0 / 5.0 · Proprietary moat |
| Delivery | Web SaaS | Web SaaS |
| Audience | B2B SaaS, Growth Teams | B2B SaaS, Marketing Agencies |
| Ecosystem integrations | Snowflake, Google BigQuery, Shopify | Slack, Twilio Segment, Looker, Tableau, Power BI |
| Compliance & governance | — | GDPR |
| Funding & backing | $61.1M | Venture-backed |
| Founders | Zach Epstein | Rohit Maheswaran, Tobin Thomas |
| Company size | 201-500 employees | 201-500 employees |
| Founded | 2021 | 2017 |
| Headquarters | San Francisco, CA | Singapore |
| Fact-checked | MarTechRadar Research Desk, Oct 16, 2026 | MarTechRadar Research Desk, Oct 7, 2026 |
| Governance & docs | Trust & Security ↗ · Terms ↗ · Privacy ↗ | Trust & Security ↗ · API & Docs ↗ · Changelog ↗ · DPA ↗ · Terms ↗ · Privacy ↗ |
Haus vs Lifesight: TCO & constraint stress test
Test how both tools behave under your team size, monthly budget ceiling, CRM ecosystem, and governance guardrails.
Haus
High Deal-Risk · Constraint Mismatch- 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: Haus sells through custom annual contracts with pricing available on request. Packages—spanning Basics for Shopify, Core, Plus, and Enterprise—scale with yearly ad spend and channel count. Plans bundle marketing science support, cloud warehouse links, and the Architect AI agent.
- Primary Operational Bottleneck: Holdout Test Revenue Pause: Running valid geo-holdout tests requires pausing or cutting ad spend in control regions for a few weeks, which is hard during peak sales seasons.
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.
Lifesight
High Deal-Risk · Constraint Mismatch- Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Lifesight 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: Lifesight operates an enterprise-tier software-as-a-service model. Commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats.
- Primary Operational Bottleneck: Cold-Start Data Volume Requirements: Bayesian MMM calibration requires at least two continuous years of historical media expenditure and transactional data to yield statistically valid media decay and saturation coefficients.
Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Lifesight requires sales-gated custom quoting).
Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Lifesight order form before signing a 12-month enterprise commitment.
Limitations
Haus
Limitations and trade-offs to weigh before choosing Haus: Holdout Test Revenue Pause: Running valid geo-holdout tests requires pausing or cutting ad spend in control regions for a few weeks, which is hard during peak sales seasons.Full limitations in the Haus review
Lifesight
Operational considerations and platform boundaries include: Cold-Start Data Volume Requirements: Bayesian MMM calibration requires at least two continuous years of historical media expenditure and transactional data to yield statistically valid media decay and saturation coefficients.Full limitations in the Lifesight review
Official vendor architectural differentiators & migration proof
To help buyers evaluate real-world switching costs, verified founders, solutions architects, and PMMs at both Haus and Lifesight can submit up to 3 evidence-backed architectural differentiators or verified customer migration case studies.
Why teams choose Haus over Lifesight
Work at Haus? Verify your official domain email to publish 3 technical differentiators, migration benchmarks, or a head-to-head buyer sandbox offer on this comparison page:
+ Submit Haus Official Differentiators & Case Study →Why teams choose Lifesight over Haus
Work at Lifesight? Verify your official domain email to publish 3 technical differentiators, migration benchmarks, or a head-to-head buyer sandbox offer on this comparison page:
+ Submit Lifesight Official Differentiators & Case Study →Pricing notes & tier schedules
Haus: Pricing not disclosed
Haus sells through custom annual contracts with pricing available on request. Packages—spanning Basics for Shopify, Core, Plus, and Enterprise—scale with yearly ad spend and channel count. Plans bundle marketing science support, cloud warehouse links, and the Architect AI agent.
- Enterprise / Custom (Custom quote, 15–50+ seats (Enterprise SLA)): Sales-negotiated annual contract for custom volume, SSO/RBAC governance, and dedicated SLA.
- Enterprise Governance & Add-On Gating: Advanced capabilities such as Single Sign-On (SSO), custom role permissions, or specialized analytics modules are gated behind upper tiers or paid add-ons.
- Holdout Test Revenue Pause: Running valid geo-holdout tests requires pausing or cutting ad spend in control regions for a few weeks, which is hard during peak sales seasons.
Lifesight: Custom / enterprise pricing
Lifesight operates an enterprise-tier software-as-a-service model. Commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats.
- Enterprise / Custom (Custom quote, 15–50+ seats (Enterprise SLA)): Sales-negotiated annual contract for custom volume, SSO/RBAC governance, and dedicated SLA.
- Enterprise Governance & Add-On Gating: Advanced capabilities such as Single Sign-On (SSO), custom role permissions, or specialized analytics modules are gated behind upper tiers or paid add-ons.
- Cold-Start Data Volume Requirements: Bayesian MMM calibration requires at least two continuous years of historical media expenditure and transactional data to yield statistically valid media decay and saturation coefficients.
Frequently asked questions: Haus vs Lifesight
How does Haus pricing compare to Lifesight in 2026?
Haus is listed at Pricing not disclosed (not disclosed, no free plan disclosed), whereas Lifesight is listed at Custom / enterprise pricing (enterprise / quote, no free plan disclosed).
How do Haus and Lifesight compare on AI autonomy and moat depth?
On the MarTechRadar L1–L5 scale, Haus is rated L2 · Workflow copilot with a Proprietary moat moat (4.1/5.0), while Lifesight is rated L2 · Workflow copilot with a Proprietary moat moat (4.0/5.0).
Which teams are Haus and Lifesight built for?
Haus is a Web SaaS product in Marketing Mix Modeling & Incremental Lift designed for B2B SaaS, Growth Teams. Lifesight is a Web SaaS product in Multi-Touch Attribution & eCommerce Dashboards designed for B2B SaaS, Marketing Agencies.
What are the main limitations of Haus vs Lifesight?
For Haus: Limitations and trade-offs to weigh before choosing Haus: Holdout Test Revenue Pause: Running valid geo-holdout tests requires pausing or cutting ad spend in control regions for a few weeks, which is hard during peak sales seasons. For Lifesight: Operational considerations and platform boundaries include: Cold-Start Data Volume Requirements: Bayesian MMM calibration requires at least two continuous years of historical media expenditure and transactional data to yield statistically valid media decay and saturation coefficients.
What are the hidden TCO drivers and contract negotiation levers for Haus vs Lifesight?
For Haus: Enterprise Governance & Add-On Gating (Advanced capabilities such as Single Sign-On (SSO), custom role permissions, or specialized analytics modules are gated behind upper tiers or paid add-ons.) 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. For Lifesight: Enterprise Governance & Add-On Gating (Advanced capabilities such as Single Sign-On (SSO), custom role permissions, or specialized analytics modules are gated behind upper tiers or paid add-ons.) Negotiation lever: Demand a 30- to 60-day paid pilot opt-out clause in the Lifesight order form before signing a 12-month enterprise commitment.
Excerpts are quoted verbatim from each fact-checked review. Last updated Oct 16, 2026.