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