Want to know if your ads actually work? Haus.io helps you measure the real impact of your marketing campaigns. Instead of guessing or relying on outdated methods, it shows the true lift your ads generate - quickly and without invading user privacy.
Key Takeaways:
- Fast Results: Get insights in as little as 2 weeks.
- Privacy-Focused: No cookies, pixels, or personal data needed.
- Accurate Measurement: Uses econometric models for real incremental lift.
- Easy to Use: Works with your existing data - no extra setup required.
Why It Matters:
With tools like GeoLift and Causal Attribution, Haus.io helps brands like FanDuel and Ritual save millions by optimizing ad spend. Whether you’re running tests or reallocating budgets, the platform ensures smarter decisions based on reliable data.
Bottom Line: If you’re tired of wasting money on ads that don’t work, Haus.io makes it easy to track what’s actually driving results.
Incrementality 101: Everything You Need to Know
Key Features for Measuring Incrementality
Haus.io uses a combination of region-based testing and ongoing incrementality reporting to measure genuine marketing lift effectively.
Measurement Tools and Metrics
Haus.io relies on GeoLift for regional lift tests and Causal Attribution for daily incrementality tracking. These tools help pinpoint actual lift across various channels, feeding data into AI-driven models for deeper analysis.
For example, Newton Baby saw a return of over 10× their annual Haus.io investment in just two months.
AI-Powered Testing
With AI-driven econometric models, experiments can be launched quickly, data analysis is automated, and results are available in as little as two weeks. This speed allows for fast decision-making based on reliable insights.
Data Security and Quality
Haus.io prioritizes data security by exclusively using clients' existing data. No pixels, cookies, or personal information are involved, ensuring complete transparency in both model design and outcomes.
"Implementing Haus was one of the best decisions we made. The insights and ROI from the first month alone paid for our Haus contract for the year", says Connor Dault, VP Growth at Caraway.
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Implementation Examples
Here’s how Haus.io’s tools deliver practical insights through incrementality testing.
Campaign Performance Testing
Haus.io enables marketers to pinpoint channel lift with focused experiments. For example, Ritual condensed a 30-day test into just 2 days, while FanDuel ran regional lift tests to reallocate budgets effectively, saving millions in the process. These quick tests reveal actual lift, showcasing the accuracy of the platform’s econometric methods.
Marketing Budget Distribution
Using incrementality metrics and Causal MMM models, marketers can analyze past campaign performance and fine-tune future media investments. Features like daily lift reports allow for immediate budget adjustments. Newton Baby achieved a 10× ROI in just two months, while Caraway’s initial ROI was enough to cover its annual fee - proving how quickly the platform can pay off. These real-time reports lead to smarter spending and measurable improvements.
Platform Strengths and Limitations
After reviewing practical use cases, let’s break down the main advantages of Haus.io and its one notable limitation.
Metric Comparison Guide
Haus.io moves away from correlation-based attribution, instead using econometric experiments to uncover the real impact across different channels.
| Measurement Aspect | Capabilities | Business Impact |
|---|---|---|
| Speed of Testing | 2–14 days | Shorter optimization cycles |
| Data Requirements | Works with existing data; no cookies or PII needed | Complies with privacy regulations |
| ROI Measurement | Tracks direct incrementality | Enables better budget allocation |
| Implementation | No extra pixel installation required | Easy and quick to deploy |
Data-Based Decision Making
Haus.io simplifies complex metrics into straightforward, actionable insights, helping top brands achieve measurable outcomes.
Limitation: The platform requires enough data to ensure statistical significance. While Haus.io’s models are designed to address this, marketers need to confirm they have sufficient data before starting experiments to achieve reliable results.
Clients also highlight how quickly they see value, especially as regulations around data continue to change.
Summary
Haus.io stands out for its advanced experiments and metrics, offering practical tools for marketers.
Using GeoLift and Causal Attribution, the platform provides fast, privacy-compliant insights to support smarter marketing decisions. Key strengths include its quick insights, privacy-focused design, efficient use of existing data, and direct measurement of incremental lift.
As privacy regulations tighten and last-click models lose relevance, incrementality measurement becomes crucial for accurate performance evaluation. Haus.io simplifies econometric testing for marketers and plans to introduce causal MMM capabilities, enhancing AI-driven tests for more precise budget allocation.
