From 30 to 180+
Orders Per Day
How I scaled my ecommerce business in just 3 days using a single automated TikTok rule
6X Growth in 72 Hours
Completely Hands-Off
The Challenge
Stuck at 30 Orders/Day for 20 Days
I was running TikTok ads for my automotive accessories business (battery chargers, jump starters, inflators) and hitting a wall. Despite launching new ads manually every single day, I was stuck at around 30 orders per day for over 20 days.
💀The manual process was exhausting:
The Solution
One Simple Automation Rule
Instead of continuing the manual grind, I implemented a single automated rule in my TikTok ad management tool:
"If conversions are over 4 and CPA is less than $4, duplicate 5 times each 24 hours"
That's it. One rule that automatically identifies winning ad groups and scales them systematically.
The Results
The transformation was immediate and dramatic
Before Automation
After Automation

Real dashboard showing the dramatic performance improvement
What Changed?
The automation did exactly what I was trying to do manually, but better
24/7 Monitoring
Instead of limited daily checks
Instant Scaling
Of winning combinations
Consistent Execution
Without human error or fatigue
Systematic Approach
Rather than gut-feeling decisions
The Key Insight
The breakthrough wasn't just the automation - it was having the right trigger conditions. By setting the rule to duplicate only when conversions > 4 AND CPA < $4, the system automatically identified and scaled only the truly profitable ad groups.
Time Saved & Impact
🌙 The 6X increase in orders happened while I was completely hands-off. The automation was working while I slept, scaled winning ads instantly, and maintained profitable performance automatically.
Why This Works
The difference between traditional and automated approaches
😓Traditional TikTok Management
🤖Automated Rules Provide
Ready to Scale Your TikTok Ads?
Stop spending hours manually managing campaigns. Let automation work while you sleep.
*This case study demonstrates real results from actual campaign data. Individual results may vary based on products, market conditions, and implementation.