CRO - Turning intuition into data-driven decisions
Data-driven decisions
Every change is based on evidence, not assumptions.
We analyze quantitative and qualitative data to understand what works, what slows down and what motivates your users. We detect patterns, interpret behaviors and transform information into tangible opportunities.
This allows us to act with precision, reduce risks and focus our efforts on what really generates impact.
Strategic and continuous experimentation
CRO is not an isolated action, but a constant learning process .
We define hypotheses, prioritize them according to impact and effort, and validate them through A/B or multivariate tests. Each experiment provides knowledge: victories optimize results and mistakes teach us where to improve.
Our goal is to build a continuous improvement system that evolves with your product.
Synergy between design, development and business
We unite all the teams under the same language and objective.
We design visual and functional experiments that can be easily implemented, documenting each decision so that learning can be shared.
Less friction, more collaboration and execution that translates insights into real growth for your business.
Experimentation as an engine of growth
Hypothesis-driven, not aesthetic design
Each variant is based on a measurable hypothesis, not on intuition. We design only what provides data and knowledge, not visual noise.
Full integration between UX, data and technology
We combine quantitative analysis, UX/UI design and technical implementation to create solid experiments that deliver real results, not just ideas.
Technical and analytical validation from the first click
Before launching a test, we verify its technical reliability, the correct measurement of events and traffic segmentation. A poorly measured experiment teaches nothing.
Do you want us to help you?
Discover how companies like yours have solved problems and achieved their goals. No matter the size of the challenge, we are ready to help you move forward with visible and measurable results.
This is how we do it
First contact
We start by understanding your business from the inside. We analyze data, funnels and user behavior to detect real opportunities for improvement. Our goal in this first phase is to lay a solid foundation on which to build a measurable, collaborative and continuous optimization process.
- Initial Kick Off with the client
- Meetings with stakeholders
- Implementation of the methodology
- Assigning the best team for your project
- Definition of milestones of this phase
Technical and analytical audit
- Kick Off of the technical audit
- Review of active tools
- Data quality assessment
- Implementation of technical improvements
- Documentation and transfer
Data analysis and opportunity detection
- Kick Off of data analysis
- Conversion funnel review
- Quantitative and qualitative analysis
- Identification of patterns and frictions
- Optimization opportunities report
Definition and prioritization of hypotheses
- Structured hypothesis formulation
- Estimated impact and effort
- Prioritization according to ICE or PIE model
- Experimentation roadmap
Design and development of experiments
- Definition of the variable and the objective of the test
- Design of the variant(s)
- Technical implementation and quality control
- Tracking verification and environment preparation
Results analysis and iteration
- Evaluation of test performance
- Quantitative and qualitative interpretation
- Documentation of learning
- Continuous iteration
Documentation and knowledge transfer
The design and development phase turns hypotheses into tangible evidence. We design with purpose, develop with rigor and verify with data. Each experiment is a learning opportunity that brings us closer to the best possible version of the digital experience, and optimization only makes sense if the knowledge remains. We document every step so that your team can continue to improve the product without depending on us, with a culture of experimentation installed in the day to day.
- Standardization of processes and best practices
- Centralization of knowledge
- Transfer to in-house equipment
- Maintenance and evolution of the system
Think of the value you bring to by having a full UX team at your disposal...
📈 What is CRO and why is it important?
CRO (Conversion Rate Optimization) is an ongoing process to improve the performance of a digital product using real data. At Audax we turn intuition into evidence-based decisions, reducing risks and maximizing impact in each iteration.
🧪 Is CRO just about A/B testing?
No. Testing is a part of the process, not the whole. CRO includes data analysis, hypothesis formulation, prioritization, experiment design, technical validation and continuous learning. Testing without a strategy behind it is useless.
📊 What type of data do you use to optimize?
We work with quantitative and qualitative data: analytics, funnels, events, user behavior, surveys and usage patterns. The goal is not to measure more, but to better understand what works, what slows down and what motivates users.
✨ What differentiates Audax's CRO versus other approaches?
We design from the hypothesis, not from the aesthetics. Each variant has a measurable objective. We do not add visual noise or arbitrary changes: only what brings real learning and business value.
🏢 Does CRO work for any type of business?
Yes, as long as there is enough traffic and clear objectives. It doesn’t matter if it is a landing page, an e-commerce or a complex digital product. The process adapts to the context and maturity of the project.
🤝 Which teams are involved in the CRO process?
CRO connects design, development and business under the same language. We work so that all teams are aligned, reducing friction and transforming insights into real actions, not just reports.
📉 What if an experiment doesn't work?
It is also a valid result. A test that does not improve conversion provides learning. We document what went wrong, why and how to use that knowledge in the next iteration. CRO is a constant learning system.
⏳ How long does it take to see results?
CRO is not immediate or punctual. It is an ongoing process. Some improvements come quickly, others require iteration. The real value is in building an optimization system that improves over time.
🔄 Can the in-house team continue the work afterwards?
That is the goal. We document processes, learning and best practices so that the team can continue to optimize without depending on us. If the knowledge stays, the CRO works.
