I posted another couple of new Looker Studio dashboards in my Contra shop today and thought I would share some related eye candy with ya'll.
This is a bundle of four funnel and timeline data visualizations / infographics that I created specifically for Google Analytics e-commerce events.
I was inspired to create this after having stumbled upon a slough of similar GA4 ecommerce-related dashboards that were woefully visually unappealing. Creating more beauty in the world around me is one of my prime movers.
https://contra.com/products/mYxjErTV-ga4-ecommerce-funnel-visualization-pack
🚀 Turning Manual E-commerce Order Processing into an Automated Workflow with n8n
Manual order management may seem simple, but copying customer details, checking information, preventing duplicate orders, and sending confirmation emails can quickly become repetitive and error-prone.
I recently built an end-to-end order processing automation using n8n to solve these challenges for a handmade products store.
Here's what I implemented:
🔹 Automated Order Capture: Receive new orders through a webhook.
🔹 Data Validation & Cleaning: Validate required fields, email formats, quantities, and prices before processing.
🔹 Duplicate Prevention: Detect existing Order IDs to prevent duplicate records.
🔹 Google Sheets Integration: Automatically store valid orders and calculate order totals.
🔹 Email Notifications: Send order updates to the store owner and confirmation emails to customers.
🔹 Error Monitoring: Capture failed executions, log error details in a dedicated Google Sheets tab, and send email alerts.
The goal was simple: reduce repetitive administrative work, improve data accuracy, and make order operations more reliable.
This is what I enjoy about building with n8n — turning complex, repetitive business processes into practical automation systems.
Have a repetitive workflow in your business that could be automated? Let's connect!
Just shipped Sieve: a Framer template for AI finance software.
Most finance software templates show a flat dashboard screenshot. Sieve shows the month-end close actually happening.
→ The hero counts 3,418 open items down to zero, then the period locks
→ A close checklist ticks itself off from BD1 to BD3, each entry handed to a named reviewer
→ Bank lines pair with ledger entries; the one left over gets a suggested entry
→ Every customer has its own CMS page with a named signer
13 pages, 4 CMS collections, 3 code components set from the right panel, 6 Agent Skills. Start Here page + Design System page included.
Logging every cleaning action is the part I like most: when a number in the report looks strange, you can follow it back to the fix that changed it. With 585 issues, how did you decide which ones the script fixes alone and which ones it only reports?