Quick answer
Digital analytics is the collection and analysis of data from all of an organization’s digital touchpoints (websites, apps, ads, email, social and support) to understand customer behavior across channels and improve business results.
What is digital analytics?
Digital analytics is the collection and analysis of data from all of an organization's digital touchpoints (websites, mobile apps, mini programs, email, ads, social media, support chat and connected products) to understand customer behavior and improve business results. It is broader than web analytics, which covers websites only, and joins channels so a customer's journey can be seen across them.
Where web analytics asks "what happened on our site?", digital analytics asks "how do people move between our ads, site, app and support, and which combination leads to revenue and loyalty?"
Digital analytics vs web analytics vs product analytics
| Web analytics | Product analytics | Digital analytics | |
|---|---|---|---|
| Scope | Websites | Inside a product (web or app) | All digital channels |
| Unit | Sessions, pageviews | Users, accounts, events | Customers across channels |
| Typical questions | Traffic, sources, pages, conversions | Activation, feature use, retention | Cross-channel journeys, attribution, lifetime value |
| Identity | Mostly anonymous | Identified users | Joined identity across channels |
Components of digital analytics
- Data collection from websites, apps, servers, ad platforms, email and CRM.
- Identity resolution that links devices and channels to one person or account where consent and policy allow.
- Measurement framework: goals, KPIs and a tracking plan shared across teams.
- Analysis: funnels, attribution, cohorts, segmentation and journey analysis.
- Activation: using insights in campaigns, personalization, product changes and support.
- Governance: privacy, consent, data quality and access control.
Key digital analytics metrics
| Area | Metrics |
|---|---|
| Acquisition | Sessions and users by channel, cost per acquisition, return on ad spend |
| Engagement | Engaged sessions, active users across web and app, content consumption |
| Conversion | Conversion rate by channel and device, cross-device conversions |
| Retention | Repeat visits, app retention, repeat purchase rate |
| Value | Revenue per user, customer lifetime value |
| Experience | Page and app speed, errors, support contacts |
Example
A retailer (sample data) sees that 38% of its app purchasers first visited the website from a search ad, and that customers who used both web and app spend 1.8× more per year than web-only customers. Digital analytics, by joining web, app and order data, changes the budget question from "which ad converts on the website?" to "which ad brings customers who later adopt the app?".
Digital analytics in TapCub
TapCub collects from websites, iOS and Android apps, Flutter, React Native, HarmonyOS, mini programs and your servers into one project, with identity that joins anonymous visits to signed-in users and cross-device merging. Live chat runs on the same visitor ID. See platforms overview.
Related terms: web analytics, identity resolution, attribution, customer data platform.
Sources
- Kaushik, A. (2009). Web Analytics 2.0. Wiley.
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Product Experience Specialist
Explores usability, user journeys, and feature adoption through practical examples of onboarding and everyday product use.