Sinfa | Evidence-Led Growth Advisory for CRO, A/B Testing & Marketing Measurement
Sinfa is an evidence-led growth advisory helping CEOs, CMOs, and founders at SMBs, high-growth companies, and small-cap public companies improve conversion rates, design stronger A/B testing and experimentation programs, clarify attribution and incrementality, and measure marketing impact with clearer evidence so marketing investment decisions can be made with greater confidence.
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Services
- AI-Driven Conversion Optimization: Sinfa helps CEOs, CMOs, and growth leaders of SMBs identify real conversion constraints before investing in testing. Evidence-led CRO advisory across North America, Europe, and MENA.
- Experimentation & Growth Testing: Sinfa helps growth teams and CMOs build experimentation programs that generate evidence strong enough to act on. A/B testing advisory for SMBs and high-growth companies across North America, Europe, and MENA.
- Performance Analysis & Decision Support: Sinfa helps CMOs and growth leaders turn complex performance data into clear decisions. Marketing analytics advisory for SMBs and high-growth companies in North America, Europe, and MENA.
- Marketing Measurement & Channel Impact: Sinfa helps CMOs and marketing leaders understand the true incremental impact of their channels. Incrementality testing and attribution advisory for SMBs and high-growth companies.
Free experimentation and marketing tools
- A/B Test Significance Calculator: Is your result real? p-value, lift and confidence interval from visitors and conversions.
- A/B Test Sample Size Calculator: Visitors per variant and test duration, before you launch.
- Can I Stop My A/B Test Yet?: Stop peeking. Find out if your test can end, and what your peeking has cost.
- Sample Ratio Mismatch (SRM) Checker: Is your traffic split broken? A chi-square test that catches invalid experiments.
- Break-Even ROAS & Target CPA Calculator: The ROAS and CPA your ads must hit to make money, from your real unit economics.
Latest insights
- Is your A/B test underpowered? A guide to statistical power: Most A/B tests stop early, run on too little traffic, or crown a winner on noise. Statistical power tells you before launch whether a test can find the effect you care about. Here is how to size a test, when you can stop it, and what a null result means.
- Your AI search ROI number is 75% something else: A new 54-page paper builds the most rigorous causal model yet for GEO and paid AI placements. Its own simulations show the AI-answer slice of the effect carries 46 to 48% error, while 66 to 75% of the measurable payoff flows through channels you already track. Here is what that means for your budget.
- The measurement reckoning: what four new papers reveal about the metrics you are actually trusting: A new correction framework deployed at TikTok proves attribution overstates its own impact. A Baidu model trained on 15 million users proves one LTV number for your whole customer base is a liability. Read together with two more 2026 papers, the pattern is one the marketing conference circuit keeps avoiding.
- The measurement stack is getting smarter and less useful at the same time: New 2026 research on causal attribution, graph-based lifetime value models, and AI-driven conversion rates is more technically rigorous than anything the industry has produced in a decade. It is also drifting away from what most growth teams can use. Here is the gap, and the one question that closes it.
- Geo-lift testing: the complete guide: Geo-lift testing is the most accessible form of incrementality testing, and the one most teams run first. This guide covers the full mechanics: how to pick test and control markets, how much spend and duration you need for statistical power, how to read the results, and the mistakes that invalidate a test before it starts.
- MMM vs. attribution vs. incrementality testing: which to use when: Marketing mix modeling, multi-touch attribution, and incrementality testing answer three different questions, and teams that treat them as competing answers to the same question misallocate budget. This guide maps each method to the decisions it can support, the decisions it cannot, and the order in which to build them.
Frequently asked questions
What services does Sinfa offer?
Sinfa offers four advisory services: AI-Driven Conversion Optimization to identify the highest-value conversion constraints in your funnel; Experimentation & Growth Testing to design A/B programs that produce clearer decisions; Performance Analysis & Decision Support to make sense of complex marketing data; and Marketing Measurement & Channel Impact to improve attribution and incrementality so budget allocations are made with greater confidence.
Who is Sinfa built for?
Sinfa is built for CEOs and founders of SMBs and small-cap companies who need to know if their marketing spend is actually working, CMOs and VPs of Growth managing measurement accountability, marketing analytics teams, and experimentation leaders. The advisory is designed for senior decision-makers, from a growth-stage founder to a small-cap CFO, who need clearer evidence to make confident marketing investment decisions.
How is Sinfa different from a traditional marketing agency?
Sinfa operates without a broad agency retainer model and without a report-only engagement style. There are no inflated dashboards, no unnecessary complexity, and no wide-net creative services. Every engagement is commercially focused on improving decision quality in conversion, testing, attribution, and measurement.
What is Sinfa's engagement methodology?
Sinfa follows a clear three-step process: first, a Review of the current measurement setup and reporting logic to identify low-confidence signals; second, a Prioritize and Validate phase where findings become a focused action plan; third, an Improve and Scale phase where teams act on clear evidence to improve performance and build a more reliable growth system.
What is marketing incrementality and why does it matter?
Incrementality testing measures the true causal lift a marketing channel or campaign generates: the revenue or conversions that would not have happened without that specific marketing investment. It goes beyond multi-touch attribution to answer whether spend is genuinely driving results or simply being credited for outcomes that would have occurred anyway. Industry measurement research indicates that between 30–50% of conversions attributed to paid channels are non-incremental: the customer would have converted regardless of ad exposure. Without incrementality measurement, marketing budgets are frequently misallocated toward channels that appear effective in attribution reports but generate limited real commercial lift.
How do I get started with Sinfa?
You can book a consultation by completing the contact form at sinfa.com or by reaching the team directly at [email protected] or +1-209-653-2600. Consultations focus on understanding your current measurement setup, where confidence is weakest, and where advisory support would have the most commercial impact.
Is Sinfa right for a smaller company or SMB?
Yes. Sinfa works with CEOs, CMOs, and founders of SMBs and small-cap public companies, not only large enterprises. The advisory is particularly valuable for companies at $5M–$250M in revenue where the CEO or founder is making marketing budget decisions without a dedicated in-house analytics team. Sinfa's project-based model, with no broad retainer, is specifically designed to fit the engagement model of growth-stage and founder-led businesses.
I'm a CEO or founder without a dedicated data team. Can Sinfa still help?
Yes. Sinfa is specifically useful for founder-led and CEO-driven companies where marketing spend decisions are made at the top without a dedicated measurement or analytics team. Sinfa brings external measurement expertise, helping founders and CEOs understand what their marketing is actually generating, which channels produce real incremental lift, and where budget is being wasted on non-incremental spend.
Does Sinfa work with companies outside the United States?
Yes. Sinfa serves enterprise clients across the United States (New York, Los Angeles, Chicago, San Francisco, Boston, Seattle, Austin, Miami, Atlanta, Washington D.C.), Canada (Toronto, Vancouver, Montreal), Western Europe (London, Paris, Amsterdam, Frankfurt, Berlin, Dublin, Zurich, Stockholm), and the MENA region (Dubai, Abu Dhabi, Riyadh, Doha). All advisory engagements are conducted in English.