E-commerce generates massive amounts of data—from page views to checkouts to customer behavior. At Essid Solutions, we build analytics platforms that turn raw data into insights across marketing, product, and operations teams.

📊 Why E-Commerce Needs Scalable Analytics

• Track customer journeys across channels
• Measure product performance and conversion rates
• Optimize campaigns based on real-time metrics
• Detect anomalies like fraud or cart abandonment early

Without scalable infrastructure, reports become slow, inaccurate, or incomplete.

⚖️ Core Components of an E-Commerce Analytics Stack

1. Data Ingestion – From Shopify, Magento, GA4, Facebook Ads, Stripe, etc.
2. Event Collection – Via Segment, PostHog, or Snowplow
3. Data Storage – Snowflake, BigQuery, or S3-based lakehouse
4. Transformations – dbt for business logic and clean datasets
5. BI Layer – Power BI, Metabase, Looker Studio, Superset
6. Alerting – Revenue drop or spike detection

💼 Use Case: Apparel E-Commerce Brand

A fashion brand selling in 3 countries wanted better insights into campaign performance. We:

• Ingested orders and ads data into BigQuery
• Modeled attribution and customer LTV using dbt
• Delivered product performance dashboards in Looker Studio
• Added alerts for low-stock and sudden sales drops

Result: Improved ad ROAS by 25% and reduced out-of-stock events by 40%.

📅 Launch Your Analytics Platform Today

From early-stage stores to global brands, we build data stacks that grow with you.

👉 Request an analytics strategy call
Or email: hi@essidsolutions.com