Documentation Index
Fetch the complete documentation index at: https://theoptimizer.io/docs/llms.txt
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Based on analysis of 4,066 real Taboola automation rules, this guide reveals the patterns that separate profitable campaigns from money-losing ones. The data shows 53% of all Taboola rules target site-level pausing — publishers range from premium sites to low-quality placements, and smart blocking before spend accumulates is the single highest-leverage automation you can build. Once your blocking foundation is solid, layer in bid optimization and creative rotation to compound your winners.
Site-level blocking: the Taboola foundation
Rule 1: block publishers by name (brand protection)
Pause sites from known junk publishers — the fastest way to protect brand safety and cut losses.
Data Interval: Last 14 days | Scheduling: Immediate
| Metric | Condition | Value |
|---|
| Site Name | Contains | push|notification|pop |
Customize the keyword list based on your blocked publisher reports. One rule catches an entire category of low-quality publishers instead of pausing them one by one.
Rule 2: block sites generating clicks but no landing page activity
Click fraud is rampant in native. Sites that drive clicks but zero landing page visits are likely bot farms or mismatched traffic.
Data Interval: Last 14 days | Scheduling: Immediate
| Metric | Condition | Value |
|---|
| Traffic Source Clicks | Greater or Equal to | 100 |
| Landing Page Clicks | Equals | 0 |
| Tracker Conversions | Equals | 0 |
Real users click your ad, land on the page, and engage. Bots click but never arrive. This three-metric combo catches bot farms with 99%+ accuracy.
Rule 3: block high-volume placements with terrible CTR
Volume without quality is a money sink. High-impression placements with CTR below 0.1% are jamming traffic that won’t convert.
Data Interval: Last 14 days | Scheduling: Immediate
| Metric | Condition | Value |
|---|
| Impressions | Greater or Equal to | 20,000 |
| CTR (%) | Less than | 0.1 |
| Tracker Conversions | Less than | 1 |
Rule 4: block sites with suspiciously high landing page CTR
Landing page CTR above 90% combined with clicks is a fraud signal. Real users don’t all click your CTA.
Data Interval: Last 14 days | Scheduling: Immediate
| Metric | Condition | Value |
|---|
| Landing Page CTR (%) | Greater than | 90 |
| Traffic Source Clicks | Greater or Equal to | 20 |
| Tracker Conversions | Equals | 0 |
Legitimate sites see LP CTR of 5–15%. Higher rates indicate automated clicks or test traffic from that publisher.
Detect and block fraudulent traffic
Native ads attract sophisticated fraud. The data shows 1,121 rules use 3+ conditions to catch subtle patterns that simple rules miss. Pair conditions — don’t rely on single metrics.
Rule 5: high spend + high CPA + negative ROI (the classic fraud combo)
When a site burns $50+ with terrible CPA and negative ROI in just one week, it’s usually fraud or mismatched traffic.
Data Interval: Last 7 days | Scheduling: Immediate
| Metric | Condition | Value |
|---|
| Amount Spent | Greater than | 50 |
| Traffic Source CPA | Greater than | 20 |
| Tracker ROI (%) | Less than | 0 |
These three metrics together signal either click fraud, bot traffic, or a publisher demographic mismatch. Don’t wait — pause immediately and investigate.
Rule 6: dynamic bid efficiency — CPC vs. EPC comparison
Compare your average CPC to the publisher’s estimated earnings per click (EPC). If you’re paying more than 70% of EPC, the site isn’t worth the bid.
Data Interval: Last 14 days | Scheduling: Daily
| Metric | Condition | Value |
|---|
| Average CPC | Greater than | 70% of EPC |
This rule lets publishers’ own data tell you when you’re overpaying. EPC reflects publisher quality. If your CPC approaches or exceeds it, reduce spend aggressively.
Rule 7: safe bid growth — increase when CPC < EPC
The inverse: if your average CPC is less than 70% of EPC, you have room to grow. Increase the bid to capture more volume at a good price.
Data Interval: Last 14 days | Scheduling: Daily
| Metric | Condition | Value |
|---|
| Average CPC | Less than | 70% of EPC |
Bid optimization: grow profitable channels
Bid optimization rules (8% of all rules) multiply your winners. Use ROI tiers to grow systematically without overspending.
When a site delivers strong ROI, push it. Increase bids on your best-performing placements.
Data Interval: Last 14 days | Scheduling: Daily
| Metric | Condition | Value |
|---|
| Tracker ROI (%) | Greater or Equal to | 35 |
| Amount Spent | Greater or Equal to | 100 |
| Traffic Source CPA | Less than | Target CPA |
High ROI + solid spend history = safe to scale. 15% bid increases are aggressive enough to grow volume without destabilizing quality.
Sites in the middle tier are cash generators. Increase bids modestly to grow while protecting profitability.
Data Interval: Last 14 days | Scheduling: Daily
| Metric | Condition | Value |
|---|
| Tracker ROI (%) | Greater than | 10 |
| Tracker ROI (%) | Less than or Equal to | 35 |
| Traffic Source Conversions | Greater or Equal to | 2 |
Rule 10: Tier 3 — breakeven bids (CPC vs. daily budget ratio)
When daily spend hits 70% of your campaign daily budget and ROI is positive, increase the budget to sustain the winner.
Data Interval: Today | Scheduling: Daily
| Metric | Condition | Value |
|---|
| Amount Spent | Greater or Equal to | 70% of Daily Budget |
| Tracker ROI (%) | Greater than | 5 |
This prevents artificial capping. If you’re spending 70%+ of budget before EOD, the campaign would spend more if allowed. Budget increases let winners grow.
Campaign-level safety & scaling
Campaign pauses (4.4% of rules) and budget changes (4% of rules) protect capital while scaling works at site level.
Rule 11: kill catastrophic campaigns (last 30 days)
Pause entire campaigns that have spent $150+ with negative ROI. This is your emergency brake.
Data Interval: Last 30 days | Scheduling: Immediate
| Metric | Condition | Value |
|---|
| Amount Spent | Greater than | 150 |
| Tracker ROI (%) | Less than | −50 |
A −50% ROI on $150+ spend is catastrophic. One losing campaign can erase two winners. Pause fast and investigate offline.
Rule 12: scale winners (dynamic daily budget)
When a campaign spends efficiently and hits profitability targets, increase its daily budget dynamically.
Data Interval: Today | Scheduling: Daily
| Metric | Condition | Value |
|---|
| Amount Spent | Greater or Equal to | 100 |
| Tracker ROI (%) | Greater or Equal to | 35 |
| Traffic Source CPA | Less than | 15 |
Rule 13: cost control — lock budgets on losing campaigns
Set a daily budget ceiling ($100) on campaigns with negative ROI to prevent them from bleeding overnight.
Data Interval: Today | Scheduling: Daily
| Metric | Condition | Value |
|---|
| Tracker ROI (%) | Less than | 0 |
| Amount Spent | Greater than | 50 |
Negative ROI campaigns will spend unlimited budget if you let them. Cap them at $100 to preserve cash while you diagnose the problem.
Creative rotation & reactivation
Content pausing (8.4% of rules) and reactivation (5.4% of rules combined) optimize creative mix without eliminating potential winners.
Rule 14: pause low-performing content (spend threshold)
Stop content that has spent $45+ without hitting your target CPA. Don’t let bad creatives drain budget.
Data Interval: Last 14 days | Scheduling: Immediate
| Metric | Condition | Value |
|---|
| Amount Spent | Greater or Equal to | 45 |
| Tracker Conversions | Greater or Equal to | 1 |
| Traffic Source CPA | Greater than | Target CPA |
Rule 15: reactivate profitable content (comeback rule)
Restart content pieces that were previously paused but have recovered to positive ROI. These are second-chance winners.
Data Interval: Last 7 days | Scheduling: Daily
| Metric | Condition | Value |
|---|
| Tracker ROI (%) | Greater or Equal to | 10 |
| Status | Equals | Paused |
A creative that worked, failed, then recovered likely discovered a new audience or improved targeting. Reactivate automatically to capitalize on the second wave.
Rule 16: reactivate winning sites (ROI recovery)
Automatically restart sites that were paused for being unprofitable but have now recovered to positive ROI.
Data Interval: Last 14 days | Scheduling: Daily
| Metric | Condition | Value |
|---|
| Tracker ROI (%) | Greater than | 5 |
| Status | Equals | Paused |
Rule 17: smart reactivation — spend minimum
Avoid restarting marginal performers. Only restart sites that show profit potential AND have enough recent data (minimum 25 clicks).
Data Interval: Last 7 days | Scheduling: Daily
| Metric | Condition | Value |
|---|
| Tracker ROI (%) | Greater than | 8 |
| Traffic Source Clicks | Greater or Equal to | 25 |
| Status | Equals | Paused |
This prevents reactivating under-scaled sites that have only 2–3 recent clicks. The 25-click minimum ensures statistical confidence before you restart.
Rule 18: copy top content (scale through duplication)
When a content piece hits high ROI with solid spend, duplicate it across more placements.
Data Interval: Last 14 days | Scheduling: Weekly
| Metric | Condition | Value |
|---|
| Tracker ROI (%) | Greater or Equal to | 40 |
| Amount Spent | Greater or Equal to | 100 |
Implementation notes
Start with site blocking. The data shows 53% of all rules pause sites. Build your foundation first:
- Name-based blocking (brand safety)
- Bot detection (click-to-LP ratio)
- High-spend fraud detection
Then add bid optimization. Once blockers are in place, dynamic bid rules based on EPC comparison and ROI tiers multiply your winners without adding operational overhead.
Use recent data windows. Most rules use Last 14 Days for site rules or Today for campaign rules. This balances sample size with responsiveness.
Pair conditions — don’t rely on single metrics. Rules with 3+ conditions catch fraud that single-metric rules miss.
Scale gradually. 20% budget increases and 15% bid increases are standard because they’re aggressive enough to compound growth while preserving ROI. Start there and tighten once you’ve proven the pattern.