Running profitable campaigns is no longer just about buying traffic and split-testing offers. Pro media buyers integrate Keitaro with AI scripts via API to gain automation, save time, and scale profitably.
Imagine this:
- Poor placements get paused automatically within minutes.
- High-performing sources receive increased budgets on autopilot.
- Campaign rules update hourly from Google Sheets or BI dashboards without manual work.
This is the new era of performance marketing. Let’s break it down.
🔌 Why Use Keitaro API for AI Automation?
Keitaro comes with a powerful REST API. By connecting it to scripts or AI models, you can:
- Eliminate manual optimization.
- React to traffic changes in real time.
- Scale campaigns across multiple networks with minimal human intervention.
- Feed performance data into machine learning models.
⚡ Use Case #1: Pause Bad Placements Automatically
Poor placements waste budget and kill ROI. With Keitaro + API automation:
- Pull placement stats every X minutes.
- If CTR < 0.1% or Spend > $10 with 0 conversions, auto-pause.
Example (Python API Call):
import requests
API_KEY = "your_keitaro_api_key"
API_URL = "https://your-tracker.com/admin_api/v1"
# Get campaign stats
stats = requests.get(f"{API_URL}/report", params={
"campaign_id": "123",
"grouping": "placement"
}, headers={"Api-Key": API_KEY}).json()
# Check and pause bad placements
for row in stats['rows']:
placement = row['name']
clicks = row['clicks']
conversions = row['conversions']
cost = row['cost']
if clicks > 100 and conversions == 0 and cost > 10:
requests.post(f"{API_URL}/rules/pause", json={
"campaign_id": "123",
"placement": placement
}, headers={"Api-Key": API_KEY})
✅ This script will scan traffic sources and instantly kill bad placements.
⚡ Use Case #2: Increase Budget on ROI > 30%
Scaling is all about feeding more budget into winners.
- Pull conversion + revenue stats.
- Calculate ROI.
- If ROI > 30%, increase budget by +20%.
Example Logic (Pseudo-code):
IF placement.ROI > 30%:
API call to Traffic Source:
increase daily budget by 20%
👉 Here, the script talks to both Keitaro API and the traffic source API (e.g., Facebook, Taboola, PropellerAds) to adjust budgets dynamically.
⚡ Use Case #3: Dynamic Rulesets from Google Sheets or BI
Advanced teams don’t want to edit rules manually inside Keitaro. Instead, they:
- Store rules in Google Sheets or a BI dashboard.
- Every hour, an AI script fetches the sheet via API.
- Rules (GEO filters, carrier targeting, time scheduling) are updated automatically in Keitaro.
Example Flow:
- Google Sheet row:
- GEO=US, Rule=Send to Offer A
- GEO=CA, Rule=Send to Offer B
- AI Script → Parses sheet → Updates Keitaro API rules.
API Example (Update Rule):
curl -X POST "https://your-tracker.com/admin_api/v1/rules" \
-H "Api-Key: YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"campaign_id": "123",
"conditions": [{"field":"country","operator":"=","value":"US"}],
"action": "offer_1"
}'
✅ This allows you to change hundreds of rules in seconds, without touching the Keitaro UI.
🚀 Pro Tip: AI-Driven Optimization
Some pro teams take it one step further:
- Feed Keitaro data into a machine learning model.
- Predict which placements will convert tomorrow.
- Update rules automatically every morning.
This transforms Keitaro from a passive tracker into an AI-driven traffic optimizer.
Conclusion
By integrating Keitaro with AI scripts via API, you can:
- Kill bad placements in real time.
- Scale winners with automatic budget increases.
- Sync dynamic rulesets directly from Google Sheets or BI tools.
👉 This level of automation is what separates average affiliates from seven-figure media buyers.
If you want to compete in 2025 and beyond, automation isn’t optional—it’s the new standard.