Data & experimentation
Transforming insights into growth through analytics, testing, and iteration.
Why data & experimentation matter
In a world where assumptions can mislead and intuition won’t scale, leveraging real data and structured experimentation is the difference between a stagnant product and a thriving one. At Digiits, our Data & Experimentation service ensures every feature, update, and campaign is rooted in what users actually do, not what we guess they’ll do. Through behavioural analytics, A/B testing, conversion analysis, technical instrumentation, and iterative UX improvements, we help make informed decisions that drive growth and retention.
What we cover & how we deliver
[01]
Behavioural analytics
We dive deep into how your users interact with your product. Using user-event tracking, session replays, funnel analysis, heatmaps, and cohort segmentation, we uncover patterns that reveal engagement drivers, drop-off points, and hidden opportunities. These insights form the foundation for iteration.
[02]
A/B testing & controlled experiments
Rather than launching features based on gut feel, we design and run controlled experiments to find what actually moves the needle. From button copy and onboarding flows to pricing models and major UX changes, each test is defined by clear hypotheses, target metrics, and statistical rigor.
[03]
Conversion & drop-off analysis
Conversion is more than “Did they buy?” It’s “Did they find, engage, and choose?” We trace user journeys, flag friction points, and identify where attention is lost. By understanding why users don’t complete key actions, we deliver targeted improvements that boost activation, retention, and monetization.
[04]
Technical instrumentation & data engineering
Robust experimentation requires reliable data. We help build or optimize your tracking infrastructure, event schemas, dashboards, logging, and data flows ensuring you have clean, actionable metrics. With accurate instrumentation in place, you can trust your insights, test confidently, and scale metrics-driven growth.
[05]
Iterative UX, design & growth loop
Insights without action are wasted. We integrate data findings back into UX, UI and product backlog. Continuous loops of “measure → learn → iterate” keep your product evolving, small changes with measurable impact, compounding over time to deliver major growth.
Key deliverables you’ll get
A behavioural analytics audit and implementation plan
Real-time dashboards and KPI trackers for activation, retention, conversion
Experiment roadmap & testing framework (hypotheses, sample size, metrics)
Prioritised change backlog linked to data insights and impact potential
UX/design iteration plan based on test outcomes
Enterprise-grade instrumentation and data pipeline readiness
Why choose Digiits
[01]
Full-stack growth capability
Product managers, data scientists, engineers and growth marketers working together
[02]
Experimentation from week one
We embed testing and analytics early, not as afterthoughts
[03]
Seamless integration with build & team models
Insights flow into rapid sprints, team extensions (DTaaS) or product growth engagements
[04]
Tailored for the African & global context
We combine local market nuance with global best practices
[05]
Clear business focus
Every data point, test and iteration ties back to measurable business outcomes, growth, retention and revenue
Who benefits most
Products ready to move beyond launch and into scale-mode
Startups seeking to validate feature assumptions and optimize growth
Scale-ups improving retention, monetization, or expanding into new geographies
Enterprises with multiple digital products and growth levers needing consistent optimisation
CTOs, product teams and growth leads looking for data-driven confidence in decision making
