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Research, frameworks, and operational playbooks from the team that built a 7-model consensus engine for paid search — shared so you can apply them whether you use Scaletrics or not.

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Multi-Model ConsensusBudget Pacing IntelligenceSearch Query ArchitectureConversion Path MappingAudience Signal DecayCreative Fatigue DetectionBid Landscape ModelingNegative Keyword MiningIntent Drift AnalysisCross-Channel AttributionImpression Share StrategyAttribution ModelingMulti-Model ConsensusBudget Pacing IntelligenceSearch Query ArchitectureConversion Path MappingAudience Signal DecayCreative Fatigue DetectionBid Landscape ModelingNegative Keyword MiningIntent Drift AnalysisCross-Channel AttributionImpression Share StrategyAttribution Modeling
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08:42
Episode
1
🔬 ResearchSearch Term Optimization🔥 TrendingNewVol.12

The Hidden Cost of Single-Model PPC Automation

Most platforms rely on one model to make every decision. We ran a 90-day experiment comparing single-model versus 7-model consensus — the results will change how you think about automation.

AutomationConsensus ModelingAccount Strategy
EL
Emma Larsson
Head of Strategy
8
min read
4.2k reads
Read article →
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Dennis Beytekin, Founder
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12:07
02
🌊 Deep DiveNEW

We Audited 38 Accounts. Here's What Search Term Waste Actually Costs

Across 38 mid-to-large Google Ads accounts, 34% of search term spend was recoverable. The patterns behind the waste are more predictable than you'd expect.

Across 38 mid-to-large Google Ads accounts, 34% of search term spend was recoverable. The patterns behind the waste are more predictable than you'd expect.

Search TermsNegative KeywordsPerformance AnalysisData-DrivenAccount StrategyBest Practices
BH
Bjorn Halvorsen
Mar 10, 2025
9
0
07:53
03
🔬 ResearchNEW

We Tested 2,400 Ad Variations. Only 1 in 8 Actually Moved the Needle

Most ad variation tests produce no measurable result. Across 2,400 RSA variations, only 1 in 8 moved the needle — here's what the winners had in common.

Most ad variation tests produce no measurable result. Across 2,400 RSA variations, only 1 in 8 moved the needle — here's what the winners had in common.

Ad Copy TestingPerformance AnalysisResearchData-DrivenBest PracticesCampaign Optimization
BH
Bjorn Halvorsen
Mar 10, 2025
9
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Editor's Picks
Editor's Pick
12:34
Case Study8 min read
The $47K Audit
How one account recovered six figures in hidden waste
Watch now →
18:07
Deep Dive10 min
Saturation Curves
When the next dollar costs more than it earns
22:45
Research12 min
Single-Model Risks
Why consensus outperforms solo automation
09:18
Case Study6 min
CPA Spike Diagnosis
Three causes, one framework, zero guesswork
Best Practices

Expert playbooks

Foundation
Intermediate
Advanced
FoundationCritical Impact

Structure Guardrails Before You Automate

Automation without guardrails is speed without brakes. The right flexibility range is the single highest-impact first configuration step.

4-step guide
1

Set a 15–30% flexibility range as your baseline

2

Group campaigns by strategic similarity, not just type

3

Start in Balanced mode for the first 30 days

4

Review guardrail activity logs weekly for the first month

Apply playbook →
IntermediateHigh Impact

Reading Budget Efficiency Curves Correctly

A saturation signal is not an instruction to pause — it's a cue to redistribute. How to interpret the curve and act without losing ground.

4-step guide
1

Look for flat efficiency across 7+ consecutive days

2

Check impression share: saturation + high IS = spend ceiling

3

Redirect budget to campaigns still in linear growth

4

Re-evaluate after 5 days — curves shift with seasonality

Apply playbook →
IntermediateHigh Impact

Search Term Review Cadence That Actually Works

Most teams check search terms too often or not enough. A review rhythm that catches waste without creating noise.

4-step guide
1

Set consensus to flag at 5-of-7 agreement

2

Review flagged terms every Tuesday — not daily

3

Maintain a monitor list for borderline terms

4

Never add a negative without checking its parent keyword

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AdvancedHigh Impact

Building a Negative Keyword Architecture That Scales

A well-structured negative list prevents future waste instead of just cleaning up current waste.

4-step guide
1

Create 3 tiers: Account-level, Campaign-level, Ad Group

2

Account-level: universal irrelevance and competitors

3

Campaign-level: intent mismatches specific to theme

4

Consolidate tiers every 90 days to prevent structural bloat

Apply playbook →
FoundationMedium Impact

Ad Copy Testing Without the Statistical Traps

Declaring a winner too early is one of the most costly PPC errors. The discipline that makes your decisions statistically real.

4-step guide
1

Never call a winner before 95% statistical confidence

2

Run tests for minimum 14 days regardless of volume

3

Test one variable at a time — headline OR description

4

Document losing variants; they inform all future experiments

Apply playbook →
FoundationCritical Impact

Landing Page Monitoring: What to Actually Watch

Not all landing page issues are equally urgent. Triage correctly so critical problems get immediate action.

4-step guide
1

P0 (immediate): page down, broken conversion tag

2

P1 (same day): load time >4s, form submission errors

3

P2 (weekly): content drift, minor speed regression

4

Configure auto-pause for P0 events only

Apply playbook →
03
What's New

Latest updates

v2.8.0 live
2.8.0
v2.8.0
Just Shipped
Feb 26

Adaptive Learning v2 — Cross-Campaign Preference Propagation

Preferences you approve are no longer siloed. Scaletrics propagates compatible learnings across semantically similar campaigns.

Full release notes →
Changes
NewCross-campaign preference propagation
NewPreference confidence scoring (0–100%)
ImprovedPreference reversal — now single click
ImprovedLearning history timeline redesigned
Previous releases
v2.7.3
Budget Saturation Now Accounts for Seasonality
Feb 14
Improvement

Our efficiency curve model previously flagged seasonal spikes as saturation. V2.7.3 incorporates 52-week patterns.

ImprovedSeasonal pattern recognition in saturation model
Improved52-week rolling baseline for efficiency curves
FixedFalse saturation alerts during product launch periods
v2.7.0
Campaign Intelligence: Diminishing Returns Dashboard
Jan 30
Major Release

Visualise exactly where each campaign sits on its efficiency curve — and see projected performance at different spend levels.

NewDiminishing returns visualisation dashboard
NewProjected performance at +10%, +25%, +50% spend scenarios
NewCross-campaign efficiency comparison view
ImprovedRecommendation ranking algorithm (v3)
v2.6.5
Search Term System: False Positive Rate Down 34%
Jan 16
Fix + Polish

18 months of consensus data analysis — intent classification weights updated, resulting in a 34% reduction in false positives.

ImprovedIntent classification weights across all 7 models
ImprovedBranded term protection — additional safeguards
FixedMulti-word queries with ambiguous intent no longer over-flagged
v2.6.0
Landing Page Monitor: Auto-Pause & Form Health
Jan 5
Major Release

Two most-requested features: auto-pause when pages go down, and continuous form submission health tracking.

NewAuto-pause on landing page downtime (P0 threshold)
NewForm submission health monitoring
NewPage content relevance drift detection
ImprovedAlert latency: 8 min → <2 min
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