Why do some of my ads perform better than others?

Alexandre Airvault
January 12, 2026

Every ad impression is a new auction (so “the same ad” isn’t really the same opportunity)

One of the most common misconceptions I see (even in sophisticated accounts) is the idea that two ads are “competing fairly” just because they sit in the same campaign. In reality, each time your ad is eligible to show, it enters a real-time auction where the system decides (a) whether you’re eligible to show at all and (b) where you can appear compared to other advertisers. Those decisions can change from search to search because the auction is influenced by context such as the exact search intent, device, location, time of day, and overall competition at that moment.

That’s why you’ll often see two ads that look similar on the surface perform very differently. They may be getting different mixes of auctions (different queries, different devices, different user intent), and they may be winning very different positions on the page depending on their combined bid and auction-time quality signals.

Ad Rank is the “gatekeeper” behind most performance differences

If one ad consistently earns higher click-through rate, more conversions, or lower cost per action, it’s usually because it’s winning better auctions (or better positions within the same auctions). That comes down to Ad Rank, which is calculated using factors like your bid, the quality of your ads and landing page, the competitiveness and context of the auction, and the expected impact of ad assets and formats. Two ads that seem similar to you can be assessed differently by the system based on predicted performance in that specific moment.

The controllable reasons some ads outperform others

1) Message-to-intent match (expected CTR, ad relevance, and landing page experience)

In Search campaigns, performance almost always traces back to relevance. If your ad reads like it was written specifically for what the person is searching, it tends to earn stronger engagement and better efficiency. This is reflected in the three core quality components you can diagnose at the keyword level: expected click-through rate (how likely you are to get the click), ad relevance (how closely your message matches intent), and landing page experience (how useful and consistent the destination is).

When one ad is “winning,” it’s often because it’s doing a better job at one of these three jobs: earning the click, proving it’s a good match for the query, and delivering a seamless next step after the click.

2) Creative coverage and diversity (especially with responsive formats)

With responsive search ads, the system is not choosing between two fixed ads as much as it’s choosing between many potential headline/description combinations. The ad with more varied, non-repetitive assets often ends up with more chances to match different searches and user mindsets. That can translate into better CTR and conversion rate—not because it’s “prettier,” but because it covers more intent angles (price, speed, trust, selection, urgency, problem/solution, and so on).

Ad Strength is a useful directional indicator here. It’s not a promise of results, but it’s a strong hint about whether you’ve given the system enough high-quality inputs to test and learn. In my experience, underperforming ads are very often “thin” ads: too few unique headlines, too much repeated phrasing, or descriptions that don’t add anything new.

A common self-inflicted wound is over-pinning assets. Pinning can be necessary for compliance text or strict messaging, but heavy pinning reduces the number of combinations the system can test, which can limit performance—especially in ad groups with varied intent.

3) Assets (extensions) that change prominence and click behavior

Ads don’t show in isolation. Sitelinks, callouts, structured snippets, images, business name/logo, and other assets can make one ad appear larger and more compelling than another. Assets can improve performance by increasing prominence and giving users more reasons (and more ways) to click.

One nuance many advertisers miss: adding assets can help Ad Rank via expected impact, but you shouldn’t expect it to “fix” your keyword-level Quality Score. Think of assets as improving your ability to win and monetize auctions, not as a shortcut to improving the diagnostic score.

4) Targeting and query mix (match types, search terms, and negatives)

When two ads perform differently, it’s often because they’re not actually being triggered by the same searches. This is especially true when broad match or loosely themed ad groups are involved. The search terms report is your reality check: it tells you what people typed (or close variants) that led to your ad showing and/or being clicked.

If the “worse” ad is being triggered by less-qualified searches, you’ll see lower conversion rates and weaker engagement even if the ad copy itself isn’t bad. In those cases, the fix is often tightening query control with smarter match type choices, improved keyword themes, and negative keywords to remove junk intent.

5) Bidding, Smart Bidding learning, and conversion timing

With automated bidding, the system adjusts bids in real time based on predicted likelihood of conversion (or conversion value). That means two ads can get different exposure patterns depending on how the system predicts they’ll perform across different auctions and users. If one ad has a history of converting better on mobile, for example, it may get more aggressive bids (and more impression share) in mobile-heavy auctions.

Also, be careful judging ads on “recent” performance when your business has a longer conversion delay. Click costs show up immediately, but conversions can be attributed back days (or even weeks) later depending on your conversion window and buying cycle. This can temporarily make a perfectly healthy ad look weak.

Finally, if conversion tracking breaks or becomes inconsistent, Smart Bidding can react in ways that change which ads get served. In more advanced accounts, using data exclusions during known tracking outages can reduce the impact on bidding decisions.

6) Ad rotation settings (you may be telling the system to favor winners—or not)

If you use the “Optimize” ad rotation setting, the platform will prioritize ads expected to perform better in each auction using signals like keyword, search term, device, and location, and it will increasingly weight delivery toward statistical winners as data accumulates. If you use a non-optimized approach, you can end up giving low performers far more exposure than they’ve earned, which can drag the whole ad group down.

A systematic way to diagnose why one ad beats another (without guessing)

When you’re comparing ads, you want to eliminate “false differences” first (different queries, different devices, different eligibility, different time ranges). Here’s the fastest diagnostic checklist I use in real accounts.

  • Confirm you’re comparing like-for-like: same campaign type, same ad group, same date range, and enough volume to be meaningful (tiny sample sizes create fake winners).
  • Check eligibility and serving: make sure the weaker ad isn’t limited by policy, asset disapprovals, or low coverage (for responsive formats, also confirm you’ve provided enough unique assets).
  • Segment performance: break results out by device, top vs other positions (where available), location, and time to see if the “winner” is simply getting a better mix of traffic.
  • Audit the search terms: identify whether the weaker ad is being triggered by lower-intent queries; add negatives and tighten themes where needed.
  • Review Quality Score components at the keyword level: expected CTR, ad relevance, and landing page experience will usually point directly to what’s mismatched.
  • Validate the click-to-landing experience: message consistency, page speed/usability, clarity of offer, and whether the page actually answers the query intent.
  • If performance recently changed, use performance change diagnostics: look for recent setting edits, budget limits, bid/target adjustments, conversion tracking changes, and normal conversion delays before you “rewrite the ad.”

How to raise the performance of your weaker ads (practical fixes that compound)

Build a tighter “keyword → ad → landing page” chain

If you only do one thing, do this: align the ad’s promise with the user’s intent and the landing page’s proof. In practice, that usually means breaking up mixed-intent ad groups, writing ads that mirror the language people actually search, and ensuring the landing page repeats the same core promise (not a generic homepage experience). This is the foundation that improves both auction performance and on-site conversion rate.

Give responsive ads better ingredients (not more noise)

Add more unique headlines and descriptions that cover different decision drivers. Think of each asset as a “reason to choose you.” Avoid repeating the same wording across multiple headlines. Use pinning only when you truly need control; otherwise, you’re often limiting the system’s ability to find winning combinations for different queries.

Use assets to increase prominence and improve click quality

Fill out the assets that make sense for your business model and the searcher’s decision process. Strong sitelinks and supporting assets don’t just lift CTR; they can pre-qualify clicks by letting users self-select into the most relevant path (pricing, services, locations, testimonials, guarantees). That tends to improve conversion efficiency over time.

Let bidding and rotation work with you, not against you

If your goal is performance (not just “fair testing”), optimized ad rotation is usually the right default because it weights toward predicted winners per auction. If you’re using Smart Bidding, avoid making constant large target changes; give the strategy time to learn, especially when conversion volume is modest and conversion delay is meaningful.

Test properly so you can scale winners with confidence

Instead of endlessly adding new ads and hoping, run structured tests. Ad variations and controlled experiments help you learn what actually moved results—offer framing, pricing language, urgency, credibility signals, or a clearer call-to-action—so you can roll improvements across the account without relearning the same lesson in every ad group.

Let AI handle
the Google Ads grunt work

Try now for free
Section / Theme Core Explanation Practical Actions Relevant Google Ads Help Link
Auctions & Ad Rank Every impression is a separate real-time auction. Two “similar” ads may enter different auctions, on different devices, for different queries, and win different positions. Performance gaps usually come from one ad consistently winning better auctions or positions due to higher Ad Rank. - Remember that ads in the same campaign are not guaranteed equal opportunities.
- Focus on improving Ad Rank (bid, quality, and expected impact of assets) rather than assuming the interface is “favoring” an ad unfairly.
Ad Rank & low Ad Rank issues (Google Ads Help Community)
Message–Intent Match & Quality Components Search performance is driven by how well your ad and landing page match the user’s intent. Google surfaces this via keyword-level diagnostics: expected CTR, ad relevance, and landing page experience. Winning ads usually do a better job at earning the click, proving relevance to the query, and delivering a seamless post-click experience. - Write ads that mirror the language and intent in the user’s query.
- Improve landing page continuity (headline, offer, and content should reflect the ad promise).
- Use Quality Score components at the keyword level to locate relevance gaps.
Optimize your keyword list & use search terms report
Creative Coverage & Responsive Search Ads With responsive search ads (RSAs), Google is choosing from many headline/description combinations, not just between two static ads. Ads with more diverse, non-repetitive assets give the system more options to match different intents and mindsets. “Thin” RSAs (few unique headlines, repeated phrasing, heavy pinning) often underperform. - Add more unique headlines and descriptions that each express a distinct benefit or proof point.
- Avoid repeating the same text across multiple assets.
- Use pinning sparingly; reserve it for compliance or truly fixed messaging so you don’t block high-performing combinations.
About responsive search ads
Assets (Extensions) & Prominence Ads rarely show alone. Sitelinks, callouts, structured snippets, images, business name/logo, and other assets can make one ad significantly larger and more compelling than another. Assets help by increasing prominence and giving users more paths and reasons to click, and can improve Ad Rank via expected impact. - Build out relevant assets (sitelinks, callouts, structured snippets, images, location, price, promotion, etc.).
- Use assets to pre-qualify traffic (e.g., sitelinks for pricing, services, locations, guarantees).
- Treat assets as a way to win more & better auctions, not as a shortcut to fixing underlying relevance or landing page problems.
About suggested assets
Targeting, Match Types & Query Mix Two ads may perform differently simply because they’re being triggered by different search terms—especially with broad match or loosely themed ad groups. If one ad skews toward less-qualified queries, it will naturally have weaker engagement and conversion rates. - Use the search terms report to see what people actually searched before your ad showed or was clicked.
- Tighten themes within ad groups and refine match types.
- Add negative keywords to remove low-intent or irrelevant searches driving poor performance.
Use search terms report & match types
Bidding, Smart Bidding & Conversion Timing Automated bidding adjusts bids in real time based on predicted likelihood of conversion or conversion value. Ads with stronger historical performance in certain contexts (device, location, audience, time) may get more aggressive bids and more impressions there. Conversion delays and tracking issues can also distort which ads the system favors in the short term. - Give Smart Bidding time to learn; avoid frequent, large target changes if volume is modest or conversion delays are long.
- Consider conversion lag when judging recent performance; don’t pause “losers” too quickly.
- Maintain accurate conversion tracking; use data exclusions during known outages or anomalies.
Bidding & auction-time adjustments
Ad Rotation Settings Ad rotation determines how often different ads in the same ad group are served. The “Optimize” setting favors ads expected to perform better in each auction, emphasizing statistical winners over time. Non-optimized rotation can give weak ads disproportionate exposure, depressing overall ad group performance. - Use optimized rotation when your primary goal is performance, not perfectly even testing.
- If you want to test, use structured experiments rather than leaving poor ads in full rotation indefinitely.
- Periodically prune clear underperformers so rotation isn’t diluted.
RSA behavior & ad serving (see settings in Google Ads Help)
Systematic Diagnosis Checklist Before deciding that one ad is “better,” you need to remove false differences like different date ranges, devices, eligibility, or query mixes. A structured diagnostic workflow helps you isolate the real drivers behind performance gaps instead of guessing. - Compare like-for-like: same campaign type, ad group, and date range with sufficient data volume.
- Check eligibility and serving limitations (policies, disapproved assets, very low coverage).
- Segment performance by device, location, time, and position to see where the winner is actually winning.
- Audit search terms, Quality Score components, and the click-to-landing experience.
- Use performance change diagnostics when results shift after edits or tracking changes.
Search terms & keyword performance diagnostics
Strengthening Weak Ads: Keyword → Ad → Landing Alignment The fastest lever is a tighter chain between keyword, ad message, and landing page. Align the ad’s promise with the user’s intent and ensure the landing page delivers clear proof and a logical next step, rather than sending traffic to a generic page. - Split mixed-intent ad groups into more focused themes.
- Mirror the user’s search language in ad copy (including key modifiers like price, “near me,” or specific use cases).
- Rework landing pages to repeat the ad’s core promise and answer the query directly.
Improve relevance with better keyword & page alignment
Better RSA Ingredients, Assets & Testing Improving weaker ads is less about adding endless variants and more about giving RSAs strong, distinct ingredients and systematically testing what works. Assets can increase prominence and click quality, while experiments help you scale proven winners across the account. - Treat each RSA asset as a unique “reason to choose you.” Avoid fluff and duplication.
- Fill out relevant assets to let users self-select into the most relevant path (pricing, services, locations, testimonials, guarantees).
- Use ad variations and controlled experiments to test messaging elements (offer framing, pricing, urgency, credibility, CTA) and then roll winners across campaigns.
Create & optimize responsive search ads

If some of your ads consistently outperform others, it’s usually because they’re winning better auctions (higher Ad Rank), matching search intent more closely (better expected CTR, ad relevance, and landing page experience), triggering on a healthier mix of queries, and showing with stronger asset coverage—plus bidding and rotation settings can amplify those differences over time. Blobr is designed to help you pinpoint which of these drivers is actually behind the gap in your account by connecting to Google Ads, monitoring performance continuously, and using specialized AI agents (for example, improving RSA headlines, tightening search terms and negatives, and aligning keywords to the right landing pages) to turn that diagnosis into clear, prioritized actions you can apply when you’re ready.

Every ad impression is a new auction (so “the same ad” isn’t really the same opportunity)

One of the most common misconceptions I see (even in sophisticated accounts) is the idea that two ads are “competing fairly” just because they sit in the same campaign. In reality, each time your ad is eligible to show, it enters a real-time auction where the system decides (a) whether you’re eligible to show at all and (b) where you can appear compared to other advertisers. Those decisions can change from search to search because the auction is influenced by context such as the exact search intent, device, location, time of day, and overall competition at that moment.

That’s why you’ll often see two ads that look similar on the surface perform very differently. They may be getting different mixes of auctions (different queries, different devices, different user intent), and they may be winning very different positions on the page depending on their combined bid and auction-time quality signals.

Ad Rank is the “gatekeeper” behind most performance differences

If one ad consistently earns higher click-through rate, more conversions, or lower cost per action, it’s usually because it’s winning better auctions (or better positions within the same auctions). That comes down to Ad Rank, which is calculated using factors like your bid, the quality of your ads and landing page, the competitiveness and context of the auction, and the expected impact of ad assets and formats. Two ads that seem similar to you can be assessed differently by the system based on predicted performance in that specific moment.

The controllable reasons some ads outperform others

1) Message-to-intent match (expected CTR, ad relevance, and landing page experience)

In Search campaigns, performance almost always traces back to relevance. If your ad reads like it was written specifically for what the person is searching, it tends to earn stronger engagement and better efficiency. This is reflected in the three core quality components you can diagnose at the keyword level: expected click-through rate (how likely you are to get the click), ad relevance (how closely your message matches intent), and landing page experience (how useful and consistent the destination is).

When one ad is “winning,” it’s often because it’s doing a better job at one of these three jobs: earning the click, proving it’s a good match for the query, and delivering a seamless next step after the click.

2) Creative coverage and diversity (especially with responsive formats)

With responsive search ads, the system is not choosing between two fixed ads as much as it’s choosing between many potential headline/description combinations. The ad with more varied, non-repetitive assets often ends up with more chances to match different searches and user mindsets. That can translate into better CTR and conversion rate—not because it’s “prettier,” but because it covers more intent angles (price, speed, trust, selection, urgency, problem/solution, and so on).

Ad Strength is a useful directional indicator here. It’s not a promise of results, but it’s a strong hint about whether you’ve given the system enough high-quality inputs to test and learn. In my experience, underperforming ads are very often “thin” ads: too few unique headlines, too much repeated phrasing, or descriptions that don’t add anything new.

A common self-inflicted wound is over-pinning assets. Pinning can be necessary for compliance text or strict messaging, but heavy pinning reduces the number of combinations the system can test, which can limit performance—especially in ad groups with varied intent.

3) Assets (extensions) that change prominence and click behavior

Ads don’t show in isolation. Sitelinks, callouts, structured snippets, images, business name/logo, and other assets can make one ad appear larger and more compelling than another. Assets can improve performance by increasing prominence and giving users more reasons (and more ways) to click.

One nuance many advertisers miss: adding assets can help Ad Rank via expected impact, but you shouldn’t expect it to “fix” your keyword-level Quality Score. Think of assets as improving your ability to win and monetize auctions, not as a shortcut to improving the diagnostic score.

4) Targeting and query mix (match types, search terms, and negatives)

When two ads perform differently, it’s often because they’re not actually being triggered by the same searches. This is especially true when broad match or loosely themed ad groups are involved. The search terms report is your reality check: it tells you what people typed (or close variants) that led to your ad showing and/or being clicked.

If the “worse” ad is being triggered by less-qualified searches, you’ll see lower conversion rates and weaker engagement even if the ad copy itself isn’t bad. In those cases, the fix is often tightening query control with smarter match type choices, improved keyword themes, and negative keywords to remove junk intent.

5) Bidding, Smart Bidding learning, and conversion timing

With automated bidding, the system adjusts bids in real time based on predicted likelihood of conversion (or conversion value). That means two ads can get different exposure patterns depending on how the system predicts they’ll perform across different auctions and users. If one ad has a history of converting better on mobile, for example, it may get more aggressive bids (and more impression share) in mobile-heavy auctions.

Also, be careful judging ads on “recent” performance when your business has a longer conversion delay. Click costs show up immediately, but conversions can be attributed back days (or even weeks) later depending on your conversion window and buying cycle. This can temporarily make a perfectly healthy ad look weak.

Finally, if conversion tracking breaks or becomes inconsistent, Smart Bidding can react in ways that change which ads get served. In more advanced accounts, using data exclusions during known tracking outages can reduce the impact on bidding decisions.

6) Ad rotation settings (you may be telling the system to favor winners—or not)

If you use the “Optimize” ad rotation setting, the platform will prioritize ads expected to perform better in each auction using signals like keyword, search term, device, and location, and it will increasingly weight delivery toward statistical winners as data accumulates. If you use a non-optimized approach, you can end up giving low performers far more exposure than they’ve earned, which can drag the whole ad group down.

A systematic way to diagnose why one ad beats another (without guessing)

When you’re comparing ads, you want to eliminate “false differences” first (different queries, different devices, different eligibility, different time ranges). Here’s the fastest diagnostic checklist I use in real accounts.

  • Confirm you’re comparing like-for-like: same campaign type, same ad group, same date range, and enough volume to be meaningful (tiny sample sizes create fake winners).
  • Check eligibility and serving: make sure the weaker ad isn’t limited by policy, asset disapprovals, or low coverage (for responsive formats, also confirm you’ve provided enough unique assets).
  • Segment performance: break results out by device, top vs other positions (where available), location, and time to see if the “winner” is simply getting a better mix of traffic.
  • Audit the search terms: identify whether the weaker ad is being triggered by lower-intent queries; add negatives and tighten themes where needed.
  • Review Quality Score components at the keyword level: expected CTR, ad relevance, and landing page experience will usually point directly to what’s mismatched.
  • Validate the click-to-landing experience: message consistency, page speed/usability, clarity of offer, and whether the page actually answers the query intent.
  • If performance recently changed, use performance change diagnostics: look for recent setting edits, budget limits, bid/target adjustments, conversion tracking changes, and normal conversion delays before you “rewrite the ad.”

How to raise the performance of your weaker ads (practical fixes that compound)

Build a tighter “keyword → ad → landing page” chain

If you only do one thing, do this: align the ad’s promise with the user’s intent and the landing page’s proof. In practice, that usually means breaking up mixed-intent ad groups, writing ads that mirror the language people actually search, and ensuring the landing page repeats the same core promise (not a generic homepage experience). This is the foundation that improves both auction performance and on-site conversion rate.

Give responsive ads better ingredients (not more noise)

Add more unique headlines and descriptions that cover different decision drivers. Think of each asset as a “reason to choose you.” Avoid repeating the same wording across multiple headlines. Use pinning only when you truly need control; otherwise, you’re often limiting the system’s ability to find winning combinations for different queries.

Use assets to increase prominence and improve click quality

Fill out the assets that make sense for your business model and the searcher’s decision process. Strong sitelinks and supporting assets don’t just lift CTR; they can pre-qualify clicks by letting users self-select into the most relevant path (pricing, services, locations, testimonials, guarantees). That tends to improve conversion efficiency over time.

Let bidding and rotation work with you, not against you

If your goal is performance (not just “fair testing”), optimized ad rotation is usually the right default because it weights toward predicted winners per auction. If you’re using Smart Bidding, avoid making constant large target changes; give the strategy time to learn, especially when conversion volume is modest and conversion delay is meaningful.

Test properly so you can scale winners with confidence

Instead of endlessly adding new ads and hoping, run structured tests. Ad variations and controlled experiments help you learn what actually moved results—offer framing, pricing language, urgency, credibility signals, or a clearer call-to-action—so you can roll improvements across the account without relearning the same lesson in every ad group.