Section-level control & bid optimization
Sections are placements within publishers — think of them as publisher subsites or contexts. Section-level control is unique to Outbrain and is how buyers scale profitably at high volume.Rule 1: pause sections — high spend, crushing payout (3× spend rule)
Kill sections spending 3× your payout with zero conversions. This is aggressive but critical. Data Interval: Last 14 days | Scheduling: Once daily
Action: Pause Section
Rule 2: pause sections — high LP CTR but zero conversions (landing page mismatch)
Sections with abnormally high LP CTR (75%+) but zero conversions indicate audience misalignment — your headline attracts clicks but the offer fails. Kill it and move budget. Data Interval: Last 7 days | Scheduling: Once daily
Action: Pause Section
Rule 3: pause sections — abnormally high CTR (1%+ on native)
Native CTR above 1% is rare and usually indicates bot activity, poisoned data, or fraud. Outbrain native typically runs 0.2–0.5% CTR. Use this as a fraud red flag. Data Interval: Last 7 days | Scheduling: Once daily
Action: Pause Section
Rule 4: optimize section bid — sophisticated bid ranges (advanced multi-condition)
Set bids based on a combination of CPC, EPC, conversion volume, and cost. This rule applies a tiered bid strategy that high-volume buyers use consistently. Data Interval: Last 14 days | Scheduling: Every 2 days
Action: Set Section Bid to 30% above current bid
Rule 5: reduce section bid — high cost per acquisition
When section CPA exceeds 100% of your campaign’s target CPA, reduce bid to bring costs in line. This prevents overweight sections from eating margins. Data Interval: Last 14 days | Scheduling: Every 2 days
Action: Reduce Section Bid by 15–20%
Rule 6: reactivate sections — positive ROI after pause
If a paused section recovers to positive ROI over 7 days, resume it. This captures sections that had temporary dips but have stabilized. Data Interval: Last 7 days | Scheduling: Every 2 days
Action: Start Section
Sophisticated publisher blocking
While publisher-level blocking accounts for a large share of rules in the dataset, it’s less critical than section-level control for high-volume buyers. However, blocking patterns at the publisher level remain important for brand safety and quality gates.Rule 7: pause publishers — high spend, zero conversions
If a publisher has spent meaningful money with zero conversions, stop it. This fires across all sections of that publisher. Data Interval: Last 7 days | Scheduling: Once daily
Action: Pause Publisher
Rule 8: pause publishers — extreme spend velocity with negative ROI
Some publishers spend fast but burn money. If they’re burning 80% of your daily budget with poor ROI, pause to prevent runaway losses. Data Interval: Today | Scheduling: Every 4 hours
Action: Pause Publisher
Rule 9: block publishers by name — brand safety tier
Use name matching to block known low-quality publishers. This is foundational quality control. Data Interval: Last 7 days | Scheduling: Once daily
Action: Pause Publisher
Fraud detection & bot prevention
Sophisticated buyers use 3+ condition rules (448 out of 1,867 rules in the dataset). Fraud detection is a key use case — don’t skip it.Rule 10: detect publisher click vs. traffic source click mismatch (bot detection)
When publisher clicks are 10% or less of traffic source clicks, it’s a massive red flag for bot activity. Real users follow the click path; bots don’t. Data Interval: Last 7 days | Scheduling: Once daily
Action: Pause Section
Rule 11: bot detection — high impressions, near-zero engagement
Sections with 20k+ impressions but CTR below 0.1% with zero conversions are likely bot-filled or low-quality content blocks. Data Interval: Last 7 days | Scheduling: Every 2 days
Action: Pause Section
Rule 12: fraud detection — high cost per click with no payout
If you’re paying high CPCs relative to your payout but earning nothing, demand-side fraud or bad inventory is likely. Data Interval: Last 14 days | Scheduling: Every 2 days
Action: Pause Section
Campaign budget & ROI management
These are the safety nets that prevent catastrophic losses.Rule 13: scale profitable campaigns — high spend velocity + positive ROI
When a campaign is hitting 80% of daily budget AND showing positive ROI, increase budget to capture more volume before hitting the cap. Data Interval: Last 7 days | Scheduling: Every 4 hours
Action: Increase Campaign Budget by 25–30%
Rule 14: pause campaigns — severe sustained losses
If a campaign is bleeding money over 2 weeks ($300+ spend at −70% ROI or worse), emergency stop it before compounding losses. Data Interval: Last 14 days | Scheduling: Every 6 hours
Action: Pause Campaign
Rule 15: kill campaigns — spent budget without ROI
A campaign that’s spent 70% of daily budget yet shows CPA 130% above campaign average is not scaling — it’s hemorrhaging. Data Interval: Last 7 days | Scheduling: Every 6 hours
Action: Pause Campaign
Creative performance & scaling
Ad-level rules are less frequent because section-level control dominates, but creative scaling is still crucial.Rule 16: pause creatives — high spend, zero conversions
Individual creatives that accumulate cost without conversions should be paused to redirect budget to winners. Data Interval: All time | Scheduling: Every 3 days
Action: Pause Ads
