Mobile & Web Analytics

Mobile and web analytics is the practice of collecting, measuring, and interpreting data about how users interact with your application — which screens they visit, where they drop off, which features they actually use, and how those patterns change over time. At Nebulae, we treat analytics not as an afterthought bolted on after launch, but as a structural part of every product we build: instrumented from day one so that the teams relying on that data can act on it with confidence rather than guesswork. Whether we're building a mobile app or a web dashboard, the goal is the same — give product owners a clear, factual picture of user behaviour so that every roadmap decision is grounded in evidence rather than assumption.

About analytics

Mobile and web analytics focus on the measurement and interpretation of user interactions with digital platforms. These analytics provide valuable insights into user behavior, traffic patterns, and the effectiveness of digital strategies. Metrics such as page views, bounce rates, and conversion rates are tracked to assess the performance of websites and mobile applications. Analyzing this data helps businesses make informed decisions, optimize user experiences, and refine their digital strategies for greater effectiveness.

Stop guessing. Start knowing.

What We Build

We implement event tracking across every meaningful user interaction — button taps, screen transitions, form submissions, and feature engagements — so you know exactly what users do inside your mobile app or web application. From that foundation, we build user flow analysis that maps the actual paths users take through your product, revealing where they navigate smoothly and where they stall or abandon. We layer in conversion funnels to measure how effectively your product moves users from first touch to a defined outcome, whether that's a completed purchase, a submitted form, or an activated account.

Beyond acquisition and conversion, we track retention metrics — day-1, day-7, and day-30 return rates, session frequency, and cohort-level engagement — because sustainable product growth depends on keeping users, not just acquiring them. All of this feeds into custom dashboards we design specifically around the decisions your team needs to make: product dashboards for your developers, marketing dashboards for your growth team, and executive summaries for stakeholders who need the headline numbers without the noise. We build these dashboards for both mobile and web surfaces, so you're working from a single coherent picture of user behaviour regardless of platform.

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From Raw Events to Clear Insights

Every tap, scroll, and session generates raw event data. A well-configured analytics dashboard turns that stream into something a product team can actually act on — retention curves, funnel drop-offs, feature adoption rates, all in one view. We instrument both mobile and web surfaces so that behavioural signals from every channel feed into a single, consistent picture. When the data is reliable and the dashboard is readable, the gap between what users do and what teams decide closes fast.

Platform Defaults vs. Custom Analytics

Built-in analytics give you a starting point, but they leave critical gaps in ownership, flexibility, and compliance. A custom integration closes those gaps.

Built-in Platform AnalyticsCustom Analytics Integration
Data ownershipHeld by the platform provider (Google, Apple, Meta)Stored in your own infrastructure — full control
Event trackingPredefined events only; limited customisationAny interaction, fully defined by your business logic
Cross-platform viewSeparate dashboards per platform; no unified viewSingle source of truth across web and mobile
User identity & stitchingAnonymous or session-based; no cross-device linkingPersistent user IDs tied to your own data model
Reporting & dashboardsFixed templates; export options are restrictedCustom dashboards built around your KPIs
Data retentionLimited by platform policy (often 14–26 months)Retention period set by you, no platform cap
Privacy & complianceGoverned by third-party terms; GDPR complexityDesigned to your consent model and regulatory requirements

How We Work

Every analytics engagement starts before a single line of tracking code is written. We work with you to define the key performance indicators that actually matter for your product — whether that's retention cohorts, funnel conversion rates, feature adoption, or revenue attribution. Getting this right upfront means we instrument the codebase with purpose, rather than collecting every possible event and leaving you to make sense of the noise later.

Once the KPIs are agreed, we implement tracking at the appropriate layer — client-side events, server-side calls, or a combination — and run data quality checks before any dashboard goes live. We validate that events fire correctly, that user identities are consistent across sessions and platforms, and that the numbers in your reports match what's actually happening in the product. The engagement closes with a handover that includes documented event schemas, a usable reporting setup, and enough context for your team to maintain and extend the tracking independently.

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Mobile Analytics in Depth

Mobile analytics demands more than porting web metrics to a smaller screen. Session recordings capture touch interactions and scroll depth on native interfaces, while crash reporting ties stack traces to specific device models, OS versions, and app releases. Push notification performance — open rates, delivery latency, opt-out trends — requires its own instrumentation layer entirely absent from web tooling. We instrument each of these channels separately, so the data you see reflects how your mobile product actually behaves in the field.

Analytics works best when it's designed into a product from day one, not retrofitted after launch. When instrumentation is an afterthought, teams end up with incomplete data, gaps in the funnel, and no reliable baseline to measure improvements against. We treat mobile and web analytics as a core engineering concern in every engagement — defining the measurement plan alongside the feature spec, instrumenting events at the architecture level, and validating data quality before a single screen goes live. The result is a product that generates trustworthy, actionable insight from its very first user, giving you the foundation to make decisions with confidence rather than guesswork.

Frequently Asked Questions

Find answers to common questions about our services

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