Run 10x More Growth Experiments.

    AI-powered experimentation from insight to validated result. Automated hypothesis generation, test design, execution, and statistical analysis. Hours, not weeks.

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    cogny --explained

    DEFINE

    What AI growth experiments are — and why most teams ship two tests per month

    AI growth experiments use artificial intelligence to accelerate the entire experimentation lifecycle — from hypothesis generation to test design, execution, and statistical analysis. Traditional growth teams run two to five experiments per month because each test requires manual research, setup, and weeks of waiting for results. AI-powered experimentation removes these bottlenecks, enabling teams to run ten times more tests with higher win rates.

    Cogny's AI growth experiments platform analyzes your existing data — analytics, conversion funnels, user behavior, and campaign performance — to automatically surface high-impact experiment ideas. Each hypothesis comes with a predicted impact score, effort estimate, and confidence level based on your actual data, not generic best practices. This means your team spends less time debating what to test and more time shipping validated improvements.

    The AI doesn't stop at ideation. It designs statistically rigorous tests, calculates the required sample sizes to reach significance, monitors experiments in real time, and declares winners with proper confidence intervals. Every result — win or loss — feeds back into the AI's learning system, so future hypotheses become increasingly accurate as your experiment history grows.

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    cogny --challenges

    WHY

    The experimentation problems that kill growth velocity

    Experiment BottleneckYour growth backlog has 50 ideas but you ship 2 tests per month. Hypothesis writing, test setup, and QA eat all your bandwidth before any experiment even runs.
    Low Win RateMost experiments fail because hypotheses are based on opinions instead of data. Without systematic analysis of what drives user behavior, you are guessing in the dark.
    Inconclusive ResultsTests run for weeks and end without reaching statistical significance. Small sample sizes, wrong metrics, and flawed test designs waste months of effort.
    No Compounding LearningsExperiment results live in scattered docs and Slack threads. Previous learnings never inform new hypotheses, so you repeat mistakes and miss patterns.
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    cogny --setup

    HOW

    From raw data to validated growth in three steps

    01
    Generate
    AI analyzes your data to surface high-impact experiment opportunities. It writes structured hypotheses with predicted impact, effort, and confidence scores.
    02
    Execute
    Cogny designs the test, defines success metrics, calculates required sample sizes, and monitors experiments in real time. No manual setup or babysitting.
    03
    Learn
    AI performs rigorous statistical analysis, declares winners with confidence intervals, and feeds learnings back into the next round of hypothesis generation.
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    cogny --benefits

    VALUE

    A growth experimentation engine that compounds results over time

    10x Experiment VelocityGo from 2 experiments per month to 20. AI handles the tedious parts - hypothesis writing, test design, and statistical analysis - so your team focuses on strategy.
    Higher Win RatesData-driven hypotheses beat gut-feel ideas. AI mines your analytics for real signals, so experiments start with an evidence-based edge.
    Compounding GrowthEvery experiment - win or lose - feeds the knowledge base. AI learns from your results and generates increasingly accurate hypotheses over time.
    Rigorous StatisticsNo more ending tests early or calling winners on gut feel. AI handles sample size calculations, sequential testing, and multi-variant analysis properly.
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    cogny --use-cases

    CASES

    Where AI experimentation compounds growth

    Rapid landing page testingGrowth teams running paid traffic need to iterate fast on landing pages. AI generates multiple headline, CTA, and layout variations based on your conversion data, then runs multivariate tests simultaneously. Validate the best combination in days, not weeks — maximizing return while traffic is still flowing.
    Funnel optimization experimentsWhere do users drop off in your signup or purchase funnel? AI analyzes session-level behavior to pinpoint friction points, then designs targeted experiments to address each one — from reducing form fields to changing payment flows. Each test is prioritized by estimated revenue impact and statistical feasibility.
    Pricing and offer experimentsPricing changes are high-stakes experiments most teams avoid because of the complexity. Cogny designs pricing tests with proper holdout groups and sequential testing methods, so you can test new price points, discount structures, and bundling strategies with statistical rigor — without risking your entire customer base.
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    cogny --proof

    RESULTS

    What 10x experiment velocity looks like in practice

    Cogny's AI-powered experimentation framework has helped growth teams dramatically increase testing velocity and win rates. In a case study with GrowthHackers, AI-driven experiment tracking and validation contributed to a +271% increase in organic clicks and a 131% improvement in click-through rates. The key insight: when AI handles hypothesis generation and statistical analysis, teams ship more winning experiments in less time.

    Ready to accelerate your growth experimentation? Explore our pricing plans or read more case studies to see how AI growth experiments drive measurable business outcomes.

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    cogny --related

    EXPLORE

    Turn experiment wins into growth

    AI CRO ToolDeploy winning experiments into automated conversion rate optimization that compounds your growth gains 24/7.
    AI Growth PlatformThe full AI-powered growth stack. Combine experiments, analytics, and campaign optimization in one unified platform.

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    Start with Solo. Scale to Cloud.