BKY Data Consulting
Live demo

Ecommerce Customer Journey Funnel

Your website visit data and GA4 events -> clear steps customers take to buy. Live demo on synthetic data.

Hi [client] — here's a working demo I built for your Ecommerce website and GA4 setup; click anything, every number is live from the sample data below.

Total Purchases
2
▲ last 24 hours
Conversion Rate
40%
▲ from product view
Average Order Value
$64.99
■ last 24 hours

Customer Journey Funnel Steps

This chart shows how many customers complete each step from viewing a product to making a purchase.

Drop-off Points

Understand where most customers leave your buying process so you can fix those areas.

What I'd do for you

✓
Set up GA4 event tagging
I'll ensure your website accurately tracks key customer actions like product views and purchases.
✓
Build customer journey funnels
See exactly where customers drop off between viewing a product and buying it.
✓
Create custom Looker Studio reports
Get clear, easy-to-understand dashboards that show your website performance at a glance.
✓
Connect data from other sources
Combine your GA4 data with other marketing or sales data for a complete picture.
⚡ Plus, repetitive work I'd put on autopilot
Alert for low conversion rates
GA4 API · Google Apps Script · Slack/Email
Daily funnel performance summary
Looker Studio API · Google Apps Script · Email
See how I'd build this on your live system — and the data behind it

How it works in production

How I'd set this up on your live system:

Source
Your Website · GA4
Your live customer interactions and website analytics.
→
Data Processing
Python · Google Apps Script
Clean and structure your GA4 data for analysis.
→
Automation
GA4 API · Google Apps Script
Automate data refreshes and send alerts.
→
Output
Looker Studio · Email/Slack
Interactive dashboards and automated notifications.

Recent Customer Journey Events

CustomerIDEvent TypePage VisitedTimestampRevenue
C005Purchase/thank-you2023-10-26 13:20:00$79.99
C005CheckoutStart/checkout2023-10-26 13:15:00$0.00
C005AddToCart/cart2023-10-26 13:10:00$0.00
C004CheckoutStart/checkout2023-10-26 12:15:00$0.00
C004AddToCart/cart2023-10-26 12:10:00$0.00
C001Purchase/thank-you2023-10-26 09:20:00$49.99
C001CheckoutStart/checkout2023-10-26 09:15:00$0.00

Raw source data

dataset.csv — showing 12 of 20 rows. Everything above is computed from this file, untouched.

CustomerIDPageVisitedEventTimestampEventTypeProductViewedAddedToCartCheckoutStartedPurchaseCompletedRevenue
C001/home2023-10-26 09:00:00PageViewFalseFalseFalse0.0
C001/product/A2023-10-26 09:05:00PageViewProduct AFalseFalseFalse0.0
C001/cart2023-10-26 09:10:00AddToCartProduct ATrueFalseFalse0.0
C001/checkout2023-10-26 09:15:00CheckoutStartProduct ATrueTrueFalse0.0
C001/thank-you2023-10-26 09:20:00PurchaseProduct ATrueTrueTrue49.99
C002/home2023-10-26 10:00:00PageViewFalseFalseFalse0.0
C002/product/B2023-10-26 10:05:00PageViewProduct BFalseFalseFalse0.0
C002/cart2023-10-26 10:10:00AddToCartProduct BTrueFalseFalse0.0
C003/home2023-10-26 11:00:00PageViewFalseFalseFalse0.0
C003/product/C2023-10-26 11:05:00PageViewProduct CFalseFalseFalse0.0
C003/product/C2023-10-26 11:10:00PageViewProduct CFalseFalseFalse0.0
C004/home2023-10-26 12:00:00PageViewFalseFalseFalse0.0

Want this on your real data?

I can wire this to your live source in days.

bing@bkydataconsulting.com