Optimize Your Digital Experience
Most websites collect analytics data but never act on it. We bridge that gap by combining user journey mapping, behavioral heatmaps, and rigorous A/B testing into a continuous optimization loop. Every recommendation we make is backed by statistically significant evidence, not guesswork — so you invest in changes that measurably improve conversions and user satisfaction.
Understanding how users interact with your site.
Strategies to improve conversion rates.
Insights into user behavior and preferences.
Testing different approaches to find what works best.
Deploy tracking, heatmaps, and session recording tools
Establish current conversion funnels and benchmarks
Identify high-impact optimization opportunities from data
Run statistically rigorous A/B and multivariate tests
Roll out winning variants and iterate continuously
Common questions about our digital experience analytics services
We work with the full spectrum of analytics platforms depending on your needs — Google Analytics 4, Adobe Analytics, Mixpanel, Amplitude, Hotjar, FullStory, and custom data warehouse solutions. We recommend the stack that best fits your traffic volume, team capabilities, and privacy requirements. Most clients start with GA4 plus a behavioral tool like Hotjar or FullStory.
Traditional web analytics tells you what happened — pageviews, bounce rates, traffic sources. Digital experience analytics goes deeper into why it happened by analyzing user behavior patterns, click paths, scroll depth, form abandonment, rage clicks, and session replays. This qualitative layer combined with quantitative data gives you a complete picture of how users actually experience your site.
Results vary by industry and starting baseline, but our clients typically see a 15-40% improvement in primary conversion rates within the first 6 months of optimization. E-commerce sites often see even larger gains because small improvements in checkout flow compound across high transaction volumes. We set realistic benchmarks during the baseline phase so expectations are grounded in your actual data.
Privacy is built into every analytics implementation we deliver. We configure consent management platforms, anonymize IP addresses, respect Do Not Track signals, and ensure compliance with GDPR, CCPA, and other applicable regulations. All tracking scripts are loaded conditionally based on user consent, and we maintain documentation of data processing activities for your compliance records.
A test needs enough traffic to reach statistical significance — typically 95% confidence. For most sites this means 2-4 weeks per test, though high-traffic sites can reach significance faster. We never call a test early based on trending results. We also account for weekly traffic cycles and external factors to ensure results are reliable and repeatable.
