For Google Ads - Search Campaigns - What are your top 5 ...
Based on an r/PPC community discussion
After managing over $350M in Google Ads spend, I've learned that search campaign optimization isn't about following a rigid checklist—it's about understanding which levers actually move the needle for performance. A common question in the r/PPC community centers around the top optimization priorities that consistently deliver results across accounts of all sizes and industries.
This recommendation appears in nearly every optimization discussion for good reason. Search partners—Google's network of third-party search sites—consistently underperform compared to Google.com searches in most accounts I've managed.
Across hundreds of campaigns, I typically see search partners deliver 15-30% lower conversion rates while maintaining similar CPCs. This creates a double hit: you're paying the same but converting less. The quality score impact compounds this issue, as poor-performing placements drag down overall campaign health.
Negative keywords aren't just about blocking irrelevant traffic—they're your primary tool for controlling campaign precision and budget allocation. As practitioners often discuss in optimization threads, this goes far beyond basic irrelevant terms.
Tier 1: Universal Negatives
Every account needs a master negative list containing terms like "free," "cheap," "jobs," "salary," "DIY," and "how to" unless these align with your business model. I maintain lists of 200-500+ universal negatives across different industries.
Tier 2: Competitor Protection
Add competitor brand names, especially if you're not specifically targeting competitor campaigns. This prevents budget waste on users looking for alternatives.
Tier 3: Quality Refinement
This is where most accounts fall short. Use search term reports to identify patterns of low-converting queries, even if they seem relevant.
| Match Type | Use Case | Example |
|---|---|---|
| Broad Match | Block entire categories | -free (blocks "free trial," "free version," etc.) |
| Phrase Match | Block specific phrases | -"how to" (blocks "how to build," "how to make," etc.) |
| Exact Match | Surgical precision | -[red shoes] (blocks only this exact query) |
Google's automated asset recommendations (AAR) represent one of the most common optimization traps I encounter. While Google positions these as helpful suggestions, accepting them blindly can severely impact campaign performance.
Google's recommendations often prioritize broad reach over conversion quality. I've seen accounts lose 20-40% conversion efficiency after implementing multiple automated recommendations without proper testing.
Safe to Consider:
Approach with Caution:
Generally Avoid:
As the Reddit community often emphasizes, accurate conversion tracking isn't just important—it's the foundation that every other optimization depends on. Poor tracking makes every other effort meaningless.
Level 1: Basic Online Tracking
Form submissions, phone calls, email clicks. This covers 60-70% of most businesses' conversion actions but misses crucial offline conversions.
Level 2: Enhanced Online + Offline Integration
This is where the real optimization power lies. Importing offline conversions—actual sales, qualified leads, customer lifetime value—provides the data needed for smart bidding algorithms to optimize effectively.
Value-Based Bidding Setup:
Instead of treating all conversions equally, assign values based on downstream business impact. A consultation booking might be worth $150 on average, while a whitepaper download might be worth $25.
Conversion Lag Analysis:
Understanding your conversion lag—the time between click and conversion—is crucial for budget allocation and performance evaluation. Most B2B campaigns have 7-21 day lags, while ecommerce is typically 0-3 days.
The fifth pillar that separates high-performing campaigns from mediocre ones is strategic bidding approach. This goes far beyond simply choosing "Maximize Conversions" and hoping for the best.
New Campaigns (<30 conversions):
Mature Campaigns (30+ conversions/month):
Portfolio Bidding Strategies:
For accounts with multiple campaigns targeting similar conversion goals, portfolio strategies often outperform individual campaign strategies by 15-25%. They allow cross-campaign data sharing and more sophisticated optimization.
Seasonal Adjustments:
Use bid adjustments and target modifications during known seasonal periods. Black Friday campaigns might need 30-50% more aggressive ROAS targets, while post-holiday periods often require more conservative approaches.
While not always mentioned in basic optimization lists, campaign structure fundamentally impacts every other optimization effort. Poor structure makes even perfect tactics ineffective.
Single Keyword Ad Groups (SKAGs) dominated PPC strategy for years, but today's Google Ads rewards themed, semantically related keyword groupings that allow for better Quality Score distribution and ad relevance.
Optimal Structure for Most Campaigns:
| Match Type | Budget Allocation | Primary Purpose |
|---|---|---|
| Exact Match | 40-50% | Capture known high-intent queries |
| Phrase Match | 30-40% | Controlled expansion with intent preservation |
| Broad Match | 10-20% | Discovery & auction coverage (with extensive negatives) |
Based on $350M+ in managed spend and consistent patterns across hundreds of accounts, here's your priority order for search campaign optimization:
Focus on these five areas before moving to advanced tactics like audience layering, ad scheduling, or creative testing. In most accounts, these fundamentals drive 70-80% of available performance improvements.