The 2025 SaaS Trends Report:Uncover the top purchases, pricing trends, and AI's impact  
The 2025 SaaS Trends Report: Uncover the top SaaS purchases, pricing trends, and AI's impact on software buying
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About

Haus Analytics

Haus Analytics is a powerful platform that combines state-of-the-art causal inference and econometrics with experimentation to help brands measure incrementality and drive profitable growth. It provides a suite of decision and data science tools to help businesses grow with precision, and unlocks data science and analytics tooling at a fraction of the cost of building in-house.

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How much does Haus Analytics cost?

Median contract value
$132,000
per year
Based on data from 3 purchases.
Median: $132,000
$132,000
$170,400
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How does Haus Analytics price and package their products?
View pricing on Haus Analytics's website
Product: 
Custom Pricing
Upon RequestPayment TermsAnnualPopular FeaturesDesign experiments quickly, analyze without black boxes, customizable templates.

Negotiating with Haus Analytics

Negotiation Tips

Presenting competition as an alternative during negotiations has shown to yield the best outcomes. It's strategic to communicate a realistic possibility of customer churn if costs do not meet expectations. When discussing Haus Analytics, you can leverage a competitor's pricing when negotiating terms and state that your finance team has expressed a clear budget limit, which is influenced by cheaper alternatives. This tactic can lead to favorable pricing adjustments or added services.
Emphasize anticipated growth when negotiating contract terms. If you expect to scale your usage or add new licenses, you can request reduced pricing to reflect the economies of scale you anticipate. Explain that the expected increase in usage or investment should be met with a corresponding decrease in per-user pricing. This tactic not only highlights your intention to continue a long-term relationship but also positions you for cost benefits as you scale.
Removing auto-renewal clauses can protect your future negotiation leverage. By informing Haus Analytics of your finance team's requirement to not engage in auto-renewals, you can negotiate more flexibly in the future. Position this request as essential for your procurement processes, emphasizing that a transparent negotiation will strengthen your long-term partnership.
During the negotiation phase, highlight any expected increases in usage and request that overage fees be waived as part of your agreement with Haus. Stress the importance of predictable budgeting, especially as you scale your engagement with the platform. By defining your current usage and anticipated growth, you can argue for a more favorable pricing structure without overage penalties.
Offering to participate as a reference or case study can add value to Haus while potentially granting you pricing discounts. When discussing the purchase or renewal, propose that your future agreement includes this 'give' in exchange for lower rates. Highlight how your positive experience will benefit Haus's marketing efforts, and clarify that this is contingent on reaching favorable pricing terms.

Considerations when buying Haus Analytics

OwnershipHaus Analytics
Fiscal year endDecember 31
Best months to buyDecember, January
Payment TermsNet 30, Annual billing
Upgrades/downgradesHaus Analytics only offers upgrades for its services.
Redline thresholdRedline threshold estimate is $100k.

Additional Info

What is Haus Analytics?

Haus Analytics is a powerful platform that combines state-of-the-art causal inference and econometrics with experimentation to help brands measure incrementality and drive profitable growth. It provides a suite of decision and data science tools to help businesses grow with precision, and unlocks data science and analytics tooling at a fraction of the cost of building in-house.
Haus Analytics's 1 Product
Haus Analytics
Haus Analytics is a powerful platform that combines state-of-the-art causal inference and econometrics with experimentation to help brands measure incrementality and drive profitable growth. It provides a suite of decision and data science tools to help businesses grow with precision, and unlocks data science and analytics tooling at a fraction of the cost of building in-house.

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