Real-time event tracking
Per-client Snowplow tracking for page views, clicks, sessions and journeys with minimal site impact.
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Case study · eCommerce / Analytics
Turning raw eCommerce events into real-time business intelligence.
A streaming-first analytics SaaS that captures user behaviour as it happens and turns it into live dashboards and an AI-ready data foundation.
- Client
- Erkmo Analytics
- Industry
- eCommerce / Analytics
- Delivery
- SaaS analytics platform
- Capability
- Data & Analytics
The challenge
What Erkmo Analytics was up against.
eCommerce businesses collect huge volumes of behavioural data, but it sits in silos, arrives late or lacks actionable structure.
- Capture behaviour in real time
- Process high-volume event streams reliably
- Visualise insight instantly
- Decide without waiting for batch reports
The solution
What we built.
Skugal built a streaming-first platform combining real-time event ingestion, scalable pipelines, decision-focused dashboards and AI-ready data.
Streaming pipeline
Kinesis ingestion with buffering and fault tolerance, provisioned with CloudFormation.
Processing engine
Apache Spark in Scala aggregates sessions, funnels and behavioural metrics in near real time.
Business dashboards
KPI cards, multi-axis charts, period comparisons and journey views built for clarity.
AI-ready foundation
Structured event data ready for predictive models and growth-optimisation agents.
How it works
From input to outcome.
- Website / app
- Snowplow tracking
- AWS Kinesis streams
- Apache Spark processing
- Redshift / Firebase
- Real-time dashboards & AI models
Business impact
What changed.
Erkmo launched a scalable streaming analytics platform that lets eCommerce teams understand behaviour as it happens and act on it.
Technology
- Snowplow
- AWS Kinesis
- Apache Spark (Scala)
- Amazon Redshift
- Firebase
- Angular
- Node.js
- CloudFormation
- Real-time visibility into user behaviour
- No more batch-analytics delays
- Faster decisions for marketing and product teams
- Foundation for AI-driven growth optimisation
When data arrives in real time, decisions shouldn’t wait.
Next step
Have a similar challenge?
Tell us about the workflow or product. We’ll come back with an architecture, a delivery plan and where AI agents fit.