Full funnel automation: download, editing, and republishing

Overview

Python automation tool for marketing funnel management. The system extracts funnel data from the database via SQL queries, downloads funnels via links, applies modifications using POD/PDR and clustering logic, and republishes them automatically. Key Results: Reduced manual funnel editing time from hours to minutes Ensured precise, repeatable updates at required steps Minimized human errors and maintained consistency across multiple funnels

funnel-automation.py \u00b7 run #1Running

Funnel Automation · Python

SQL \u2192 download \u2192 cluster \u2192 edit \u2192 republish

0 published3 errors avoided

↓

SQL Extract

420ms

↓

Download

1840ms

◈

Clustering

290ms

✏

Auto-Edit

180ms

↑

Republish

560ms

↓

Active step

SQL Extract

SELECT funnel_id, link, config FROM funnels WHERE status='active'

Avg exec time420 ms

20% pipeline complete

Live log

420msSQL → 88 rows fetched

1840msDownloaded 0 funnel files

290msCluster: POD=3 PDR=5

180ms0 diffs applied, 0 conflicts

560ms0 funnels republished · HTTP 200

\u2713 Total run time: 3290ms

Time saved — manual vs automated

Edit time (minutes)

ManualAutomated

5 funnels

12m

20 funnels

16h

28m

50 funnels

30h

52m

100 funnels

~29 hours

Time saved (100 funnels)

−97%

Human error rate

100%

Repeatability

0Files downloaded

0Edits applied

0Republished

1840msAvg download

560msAvg publish

3Errors avoided

Details

What it does Automatically extracts funnel data from databases using custom SQL queries Downloads funnels via provided links Applies targeted modifications at specific steps Republishes updated funnels back to their original locations Logs all actions and errors for full traceability and control Why it matters This tool replaces time-consuming manual tasks with a fast, reliable, and repeatable automated workflow. Key Benefits Time-saving: reduces hours of manual work to minutes Accuracy: ensures precise and repeatable changes Consistency: uniform updates across multiple funnels Reliability: full logging system for monitoring and auditing Tech Stack Python 3.x SQL databases Terminal-based automation scripts Cross-platform (Windows, macOS, Linux) How to use Install dependencies Configure credentials, database, and funnel links Run the script The tool will automatically handle extraction, download, modification, and republishing of funnels