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Understand Your Users, Optimise Every Journey

Your website or application generates thousands of micro-interactions every day — page views, clicks, scrolls, form starts, cart additions, and abandoned checkouts. Buried within this behavioural data are the answers to your most critical growth questions: Where are users dropping off? What drives conversions? Which segments are most valuable? And where should you invest to drive the greatest impact?

At Renux Technologies, we specialise in deep user and conversion analytics that go far beyond surface-level metrics like page views and bounce rates. We build comprehensive analysis frameworks that map the entire customer journey, identify friction points with surgical precision, measure the true impact of changes, and surface the highest-leverage opportunities for growth. Every analysis is anchored to business outcomes — revenue, retention, and lifetime value.

Our approach combines quantitative analytics (funnel analysis, cohort studies, statistical testing) with qualitative insights (heatmaps, session recordings, user surveys) to build a complete picture of user behaviour. We don't just tell you what is happening — we explain why it's happening and what to do about it. Whether you're optimising a SaaS onboarding flow, an ecommerce checkout, or a lead generation funnel, our analysis provides the evidence base for confident, high-impact decisions.

We also help organisations build growth experiment frameworks — structured processes for generating hypotheses, prioritising tests, executing A/B experiments, and measuring results. This creates a sustainable engine for continuous optimisation, where every change is validated by data and every win compounds over time.

Key Capabilities

  • Conversion funnel analysis — mapping and measuring every step from first touch to final conversion, identifying drop-off points and friction areas
  • User flow mapping — visualising the actual paths users take through your site or app, versus the intended journey
  • Cohort analysis — tracking how different user groups (by acquisition date, channel, or behaviour) perform over time
  • Retention analysis — measuring day-1, day-7, day-30, and long-term retention curves to understand product stickiness
  • Churn prediction indicators — identifying behavioural signals that precede user disengagement or subscription cancellation
  • A/B test analysis — statistical analysis of experiment results with significance testing, confidence intervals, and segment breakdowns
  • Heatmap and session recording analysis using Hotjar, Microsoft Clarity, and FullStory to understand qualitative behaviour
  • Customer journey mapping — multi-touch attribution models that track the full path from first interaction to conversion
  • Attribution modeling — data-driven, first-touch, last-touch, linear, and time-decay models for accurate channel credit
  • Lifetime value (LTV) analysis — calculating and predicting customer value for segmentation and acquisition strategy
  • Segmentation analysis — identifying high-value user segments based on behaviour, demographics, and engagement patterns
  • Behavioural triggers — defining and tracking key actions that predict conversion, retention, or expansion
  • Growth experiment frameworks — structured hypothesis generation, prioritisation (ICE/RICE scoring), and test execution workflows

Our Approach

1. Analytics Audit & Baseline

We begin with a thorough audit of your current analytics setup, ensuring data accuracy and completeness. We establish baseline metrics for all key funnels and user journeys, creating the foundation against which all future improvements will be measured. Any tracking gaps are identified and resolved before analysis begins.

2. Deep-Dive Analysis

Our analysts conduct systematic analysis across your conversion funnels, user segments, and customer journeys. We combine quantitative data (GA4, Mixpanel, Amplitude) with qualitative tools (heatmaps, session recordings) to build a comprehensive understanding of user behaviour. Every finding is documented with supporting data, visualisations, and business context.

3. Insight Prioritisation & Recommendations

We translate analytical findings into a prioritised list of actionable recommendations — ranked by estimated impact, confidence level, and implementation effort. Each recommendation includes a clear hypothesis, expected outcome, and measurement plan, giving your team a ready-made optimisation roadmap.

4. Experimentation & Continuous Optimisation

For teams ready to build a testing culture, we help implement growth experiment frameworks — setting up A/B testing infrastructure, defining experiment protocols, and creating dashboards that track experiment velocity and cumulative impact. We can also provide ongoing analytical support, running analyses and interpreting results on a retained basis.

Tools & Platforms

  • Google Analytics 4, Mixpanel, Amplitude, Heap for product analytics
  • Hotjar, Microsoft Clarity, FullStory for heatmaps and session recordings
  • Google Optimize (legacy), VWO, Optimizely, LaunchDarkly for A/B testing
  • Segment, RudderStack for customer data platforms
  • BigQuery, Snowflake for advanced cohort and retention queries
  • Python (pandas, scipy, statsmodels) for statistical analysis
  • Looker Studio, Power BI, Tableau for reporting and visualisation

Ready to Transform Your Business with Intelligent Technology?

Let's discuss how Renux Technologies can engineer the right solution for your unique challenges — from AI systems to full-stack digital products.