Use Cases

E-Commerce

Marketing ROI & Funnel Optimization

Objectives

Is Your Ad Spend Actually Driving Profit?

An online boutique runs a lot of ads on social media, but the owner isn't sure which campaigns are truly effective. They want to know which products are converting the most and how their ad spend translates into actual profit.

The owner checks Google Analytics for website traffic, Facebook Ads Manager for campaign performance, and their Shopify backend for sales. This fragmented view makes it impossible to connect a specific ad click to a completed purchase and its profitability.

Challenges

Disjointed Data

Data is scattered across multiple platforms—your website analytics, ad manager, and e-commerce backend—making it impossible to get a single, unified view of your business.

Fragmented view

You can see traffic on your website and ad performance separately, but you can't connect a specific ad click to a purchase and its true profitability.

Uncertain ROI

Without a clear link between marketing spend and sales, you're left guessing which campaigns are actually profitable, leading to wasted ad spend and missed opportunities.

Business Intelligence use case for e-commerce
The solution & Common Data / Metrics Needed

From Clicks to Clarity.

Exert Tech Enterprise can connect their POS system to Quick BI. We build a dashboard that unifies sales data with cost data (from an inventory or accounting system). This provides a real-time, detailed view of menu and product performance.

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Marketing Data

Ad spend, Cost Per Acquisition (CPA), Return on Ad Spend (ROAS).

Sales & Product Data

Total revenue, revenue by product, average order value (AOV), top-selling products.

Website Traffic

Total visitors, visitors by source (e.g., Facebook, Google), bounce rate, conversion rate.

Customer Data

Customer Lifetime Value (CLV), conversion rates by customer segment.

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