Wednesday, 26 November 2025

Imp Google Ads QA

πŸ”₯ Quality Score

QS is driven by Ad Relevance, Expected CTR, and Landing Page Experience.

  • Tightening keyword → ad → landing page alignment
  • Writing intent-specific ad copy
  • Improving LPX with UX team (page speed, mobile UX, relevance)
  • Removing keywords hurting CTR
  • Lowering bounce rate through LP testing
  • Adding high-intent negatives to improve expected CTR.”

πŸ”₯ How do you manage a large-scale search account daily?

Every day I run the account using an algorithmic routine:

  • Auction checks – Ad Rank, IS, rank drops
  •  Efficiency filters – identify non-converting queries/keywords
  • Bid architecture – adjust Target ROAS or CV based on volume goals
  • Query mining – add incremental keywords that show strong product-to-query alignment
  • LPX audits – identify pages hurting Quality Score
  • Performance stabilization – ensure signals (conversions, budgets, seasonality) are consistent for Smart Bidding.

πŸ”₯ Impression Share Diagnostic Framework

Lost IS (Rank) means:

  • Low bids
  • Low QS
  • Competition increased
  • Ad Rank issues

How you respond:

  • Increase bid or loosen TROAS
  • Improve QS components
  • Tighten match types
  • Improve LPX

πŸ”₯ How do you improve LS (Search Lost IS) Rank?

  • Increase bids
  • Lower TROAS
  • Improve QS
  • Reduce fragmentation
  • Improve LPX

πŸ”₯ Traffic Purification Loop

  • Identify bad queries/keywords
  1. Low CTR → relevance issue
  2. High CPC + low value → cost pressure
  3. Low expected CTR → hurting QS
  4. Conversions < threshold
  • Pause / lower bids
  • Monitor recovery signs
  1. Quality Score improvement
  2. CTR improvements
  3. ROAS improvement
  • Reinstate with small budgets
  • Scale if stable

πŸ”₯ RCA (Root Cause Analysis) framework

Step 1: Identify the symptom
  • ROAS drop
  • CPC spike
  • Click drop
  • Conversion drop
  • IS loss
  • QS drop
Step 2: Check auction metrics
  • CPC
  • IS Lost Rank
  • Ad Rank
  • Top vs Absolute Impression Share
  • Overlap rate with competitors
Step 3: Check user-level metrics
  • CTR
  • CVR
  • Bounce rate
  • Device segmentation
  • Audience segmentation
Step 4: Check platform-side factors
  • Bid strategy learning
  • Conversion signal delays
  • Budget limits
  • LPX issues
Step 5: Implement a corrective action
  • Adjust bids
  • Improve ads
  • Add negatives
  • Update landing page
  • Adjust TROAS
  • Expand keywords

πŸ”₯ What is Keyword Intent Mapping?

Aligning queries to correct match types and campaigns based on intent level:
  • High-intent → exact match
  • Mid-intent → phrase
  • Discovery → broad
This increases QS, improves control, and strengthens ad relevance.”

πŸ”₯ How do you ensure Smart Bidding stability?

  • Single source of truth conversion
  • No conflicting bid changes
  • Stable budgets
  • Long-enough learning windows
  • Consistent campaign signals
  • No over-fragmentation

πŸ”₯ Smart Bidding

Target ROAS (TROAS)
  • When to loosen (to increase volume)
  • When to tighten (to improve efficiency)
  • Why TROAS needs consistent signals
  • Importance of conversion lag analysis
Maximize Conversions / Conversion Value
  • Used for scaling during budget-free environments
  • Best for early learning or rapid share acquisition
Key phrase to use:

“Smart Bidding only works if you maintain signal purity. My job is to protect the algorithm from noise.”

πŸ”₯Deep Auction-Level Explanation

1️⃣ Maximize Conversions (or Max Conversion Value)

Best when the goal is:
  • Maximum traffic & reach
  • Enter more auctions
  • Win impressions aggressively
  • Collect signals quickly
  • Launch new campaigns/products
Why it works well in auctions:
  • It removes efficiency constraints
  • Algorithm bids more aggressively
  • You get higher impression share
  • Good for unstable environments with low data
  • Smart Bidding tries to maximize clicks/conversions within your budget
Downside:
  • CPC increases
  • ROAS becomes unpredictable
  • Not suitable for mature accounts
2️⃣ Target ROAS (tROAS)

Best when the goal is:
  • Efficiency
  • Maintaining profitable auctions
  • Defending ROAS
  • Controlling expensive keywords
  • Running large-scale accounts with stable conversion data
Why it works best in auctions for profitability:
  • Algorithm bids only when predicted value ≥ ROAS threshold
  • Eliminates low-value auction entries
  • CPC is controlled more tightly
  • Search Lost IS (Rank) may increase (because you're selective), but ROAS improves
  • Works extremely well in stable, high-volume campaigns
Downside:
  • Restricts volume
  • Sometimes avoids competitive auctions
  • Requires strong, consistent conversion signal density
  • Not ideal for new keywords or new markets

πŸ”₯How Google’s Auction Reacts to Each Strategy

πŸ”₯ How do you balance volume vs ROAS in TROAS bidding?

“Loosen TROAS when I need more volume.

Tighten TROAS when efficiency is dropping.

But I never change TROAS too frequently — I allow enough conversion cycles for stabilization.”

πŸ”₯ How do you diagnose a sudden drop in ROAS?

  • Check CPC
  • Check search terms
  • Check CVR
  • Check QS
  • Check LP performance
  • Check auction competition overlap rate