AdSense Ad Blocking Mastery: Complete Guide to Boosting Revenue by Blocking Low-Paying Ads

One afternoon last month, I stared at my AdSense revenue chart for a solid half hour. Traffic was clearly up, yet revenue had dropped 20%. When I clicked through to “By Advertiser,” the top ten were all showing $0.03, $0.05 bids—the page was plastered with diet pills and gambling ads.
That’s when it hit me: my site had been taken over by low-paying ads.
It’s like opening a premium coffee shop, only to find your entrance blocked by people handing out flyers—real customers who’d actually pay see that mess and turn right around. AdSense’s auction mechanism works the same way: when cheap garbage ads flood your page, premium advertisers never get a chance to show.
Honestly, I was scared to touch ad blocking before. Google’s official docs are vague, and online tutorials are either outdated or way too aggressive. But this time I had no choice—I dove in. After two weeks of testing, I pulled my India traffic CPC from $0.03 to $0.15, and overall RPM (Revenue Per Thousand Impressions) jumped 12%.
Today I’m sharing the complete blocking strategy—what to block, how to block, how to test, plus Google’s new November 2025 policy changes. If you’re facing revenue decline, this article will save you weeks of trial and error.
The Truth About Ad Blocking: More Isn’t Better
When people first encounter ad blocking, there’s an instinctive reaction: if I want to boost revenue, why not just block half the ad categories and keep only the high-paying ones?
Sounds logical. But there’s one metric in your Google dashboard you absolutely must watch: Ad Coverage Rate.
This shows “what percentage of ad impression requests successfully filled with ads.” For example, if your site has 100,000 ad slot requests daily and successfully displays 90,000 ads, your Coverage Rate is 90%. Google officially recommends keeping this above 90%—below that, you start seeing massive numbers of blank ad slots, wasting traffic.
I made this mistake the first time. Saw “Adult Dating” in the dashboard at $0.02 CPC, blocked it instantly. Next day Coverage Rate dropped from 95% to 82%, total revenue down 15%. Why? Because 70% of my traffic came from India and Southeast Asia—regions already low on advertisers. Block one category, and the remaining premium advertisers simply can’t fill all the slots.
This is AdSense’s core paradox: Block too little, low-paying ads crowd out good ones; block too much, ad slots go unfilled and you lose money outright.
Your goal isn’t simply to “block low-paying ads,” but to find that balance point—maintaining 90%+ Coverage Rate while surgically removing categories dragging down your average.
2025 Policy Changes You Must Know
On November 6, 2025, Google quietly changed AdSense ad blocking rules. If you’re still using the old method, you’ve likely missed the most important optimization tool.
Previously, blocking ads mainly involved checking Sensitive Categories under “Brand Safety”—dating, weight loss, gambling, etc. But Google realized many low-paying ads don’t fall into these categories—they might be legitimate e-commerce ads, just with ridiculously low bids (like $0.05/thousand impressions).
The new policy introduced a new feature: Authorized Buyers Blocking.
Simply put, Google now divides all advertisers into two types:
- Direct Advertisers: Brands advertising directly on Google Ads, typically higher bids
- Authorized Buyers (formerly Ad Networks): Third-party ad networks aggregating numerous small advertisers, with wildly variable pricing
In the new “Brands and Authorized Buyers” menu, you can now see the complete Authorized Buyers list, each showing impression volume from the past 30 days. When I checked mine, 5 of the top 10 Authorized Buyers had average bids below $0.10. These are what’s dragging down your revenue.
Real example: My tech blog had an Authorized Buyer called “GlobalAdNetwork” contributing 15% of impressions over 30 days, but CPC was only $0.06. After blocking it, Coverage Rate dropped just 2% (from 94% to 92%), yet overall RPM jumped from $2.80 to $3.20—because those slots got filled by Microsoft ads at $0.35 CPC.
Here’s the key: This feature only exists in the new AdSense interface. If you’re still on the old version, switch immediately. Path: Left menu → Brand Safety → All Sites → Manage Sensitive Categories / Brands and Authorized Buyers.
Honestly, Google didn’t publicize this change much—lots of people still don’t know. But from my testing, this is the most worthwhile AdSense adjustment of 2025—blocking 3-5 low-paying Authorized Buyers is more effective than blocking 10 Sensitive Categories.
Complete Low-Paying Ad Checklist (Ready to Use)
Alright, enough theory—you’re probably asking: what exactly should I block?
I’ve compiled a complete 2025 checklist divided into three priority levels. Start with high priority, testing each one individually, observing 48 hours after each block before continuing.
High Priority (Recommended Must-Blocks)
These categories typically have CPC below $0.05 and don’t fit most website content:
1. Dating
- Average CPC: $0.02-0.04
- Typical ads: “Single women near you,” various dating sites
2. Weight Loss
- Average CPC: $0.03-0.06
- Typical ads: Lose 10 pounds in 7 days, diet pills, meal replacement shakes
3. Gambling & Betting
- Average CPC: $0.05-0.08
- Typical ads: Online casinos, sports betting, slot machines
4. Drugs & Supplements - Sexual Health
- Average CPC: $0.03-0.05
- Typical ads: Erectile dysfunction drugs, sexual enhancement products
Medium Priority (Based on Traffic Sources)
These categories might be low-paying depending on region or topic:
5. Religion
- Average CPC: $0.04-0.08
- Keep if traffic mainly from US/Europe, block if from developing countries
6. Sensationalism
- Average CPC: $0.02-0.06
- Typical ads: “Shocking! Celebrity private life exposed,” clickbait content
7. Alcohol
- Average CPC: $0.06-0.12
- If your site relates to food/lifestyle, these ads might convert well—don’t necessarily block
Low Priority (Block Cautiously)
8. Significant Skin Exposure
- Average CPC: $0.05-0.10
- Includes swimwear, lingerie ads. Don’t block for fashion sites
9. Drugs & Supplements - Non-Sexual
- Average CPC: $0.06-0.15
- Vitamins, protein powder, etc. Health sites may need to keep these
Special Note: Authorized Buyers Filtering
Beyond the above categories, check your “Authorized Buyers” list for those that:
- Account for >10% impression share
- Have names you’ve never heard of
- Show historically low CPC compared to your average
I found three like this: one called “AdExchangePro” accounting for 12% of impressions but only $0.07 CPC—blocking it boosted RPM 8% immediately.
Practical Advice: Don’t block everything at once. Start with the top 3 high-priority items, blocking 1-2 at a time, observing two days. If Coverage Rate stays above 90% and RPM increases, continue to the next.
Blocking Strategies by Site Type
Here’s a major pitfall: the same blocking strategy that works for a tech blog might be disastrous for an entertainment site.
I’ve managed 3 different site types—here are differentiated strategies learned the hard way:
Tech/Programming Sites
Traffic Profile: Mainly US/Europe, high user willingness to pay
Recommended Blocks: Dating, Weight Loss, Gambling, Sensationalism
Keep Categories: Software, Electronics, Online Education
Real data: My developer blog blocked 5 categories, Coverage Rate dropped from 93% to 91%, but RPM rose from $3.20 to $3.60. Why? Because those slots got filled by AWS, GitHub, JetBrains—premium tech ads with $0.80 CPC.
Content Aggregation/News Sites
Traffic Profile: High volume but low unit price, high developing country percentage
Recommended Blocks: Dating, Sexual Health, Weight Loss (top 3 must-blocks)
Block Cautiously: Sensationalism (your content might already be this type)
Honestly, if 70% of your traffic is from India, Brazil, Indonesia, blocking effects will be weaker than US/Europe traffic. But still improves—my India traffic site saw CPC rise from $0.03 to $0.07 after blocking 3 categories, a 133% increase despite low absolute value.
Lifestyle/Fashion Sites
Traffic Profile: Predominantly female users, mix of US/Europe and Asia
Recommended Blocks: Gambling, Sexual Health
Don’t Block: Weight Loss (might convert very well), Alcohol, Skin Exposure
This is a counterintuitive finding. I tested a friend’s fashion blog—she wanted to block diet ads. I said check the data first—turns out Weight Loss category had only $0.06 CPC but 3x the click-through rate of other categories, actually contributing 18% of revenue. Blocking it would’ve been a loss.
Utility Sites (Online Tools, Converters, etc.)
Traffic Profile: High bounce rate, short session duration
Recommended Blocks: Dating, Gambling, Religion, Sensationalism
Keep Categories: Software, Utilities, anything tool-related
Utility site users are purpose-driven—they come and go. So block categories requiring “impulse purchases” (dating, gambling), keep rational decision-making ones (software, tools).
Judgment Criteria: Don’t just look at CPC, check eCPM (Effective Cost Per Thousand Impressions). Formula: eCPM = (Clicks × CPC) ÷ Impressions × 1000. Some low-CPC categories have explosive click rates, generating better total revenue than high-priced garbage ads.
Proper Testing & Monitoring Process
Alright, you’ve got the checklist and strategies—now let’s discuss the most important part: how to test without breaking things.
I’ve seen too many people block ads, see revenue up the next day, declare success, then a week later find Coverage Rate at 70% and total revenue collapsed. The correct process should be:
Step 1: Establish Baseline Data (3-7 Days)
Don’t rush to block. First record current data:
- Average RPM
- Ad Coverage Rate
- Impression share by category
- Daily revenue fluctuation range
Why so long? Because AdSense revenue naturally fluctuates. Weekends vs. weekdays can differ 30%—if you change settings Friday and see revenue drop Saturday, you can’t tell if it’s from blocking or normal fluctuation.
I made a simple Excel sheet tracking these 4 metrics daily. After 5 days, I found my site’s RPM fluctuated between $2.60-$3.10—that’s the normal range.
Step 2: Single-Variable Testing (Change One Thing at a Time)
This is key. Don’t block 5 categories at once—you’ll never know which one worked.
My sequence:
- Day 1: Block Dating
- Wait 48 hours, check data
- If RPM increases and Coverage Rate >90%, continue
- Day 3: Block Weight Loss
- Repeat process
After each change, AdSense needs 24-48 hours to re-auction and adjust ad fill. First-day data isn’t accurate.
Step 3: Monitor These Key Metrics
Open AdSense Dashboard → Reports → Custom Report, add these dimensions:
- Ad Coverage Rate (must-have): Below 90% stop immediately
- RPM: Is it consistently above baseline
- CPC: Has per-click price increased
- Click-Through Rate (CTR): Shouldn’t drop significantly (indicates worse ad relevance)
My warning line: Coverage Rate <88%, immediately cancel last block.
Step 4: A/B Testing (Advanced Technique)
If you have multiple sites or subdomains, run controlled experiments:
- Site A: Block 3 categories
- Site B: No changes
- Run two weeks, compare data
I used this to test Authorized Buyers blocking. Result: Site A RPM up 14%, Site B only up 3% (normal fluctuation)—proving real effectiveness.
Recommended Tool
Google Sheets template (what I use):
- Column 1: Date
- Columns 2-5: RPM, Coverage Rate, CPC, CTR
- Column 6: Notes (what I blocked today)
- Auto-generate line chart, see trends at a glance
Spend 2 minutes daily updating—after a month you’ll have complete data supporting decisions. Way better than guessing.
When to Give Up?
If you’ve tested 3 categories, Coverage Rate dropped from 95% to 85%, RPM only up 3%—stop. Your traffic structure might not suit aggressive blocking. Conservative 1-2 high-risk category blocks are enough.
Remember: the goal is boosting revenue while maintaining 90% Coverage Rate, not blocking for blocking’s sake.
Pitfalls I’ve Stepped In and Common Misconceptions
Finally, let’s discuss traps I’ve personally fallen into—could save you thousands in learning costs.
Misconception 1: “All Low CPC Should Be Blocked”
Wrong. The key is eCPM (Effective Cost Per Thousand Impressions).
I once had a “Mobile Apps” category at only $0.08 CPC, blocked it without thinking. A week later revenue dropped—looking closely at data, this category had 5x the click rate of others, with eCPM actually hitting $4.20, one of my site’s most profitable.
Formula emphasis again: eCPM = (Clicks × CPC ÷ Impressions) × 1000. Some low-paying ads have explosive click rates due to high content relevance, beating high-priced garbage ads in total revenue.
Misconception 2: “New Sites Should Block Ads First”
Dead wrong.
If your site has under 10,000 daily impressions, don’t touch blocking. Why? AdSense’s machine learning needs data—it needs to understand what ads your users like, which advertisers will pay for your traffic. Block everything upfront and the algorithm can’t learn.
My advice: Run at least 3 months, daily impressions stable at 20,000+, then consider blocking.
Misconception 3: “Block Once and Done”
AdSense’s ecosystem changes daily. Last month’s low-paying category might see price increases this month as new advertisers enter.
Every 15th of the month, I re-check my “Authorized Buyers” list. An ad network I blocked last year suddenly raised prices in January, CPC from $0.05 to $0.18—I unblocked it and RPM rose another 5%.
Set a calendar reminder: monthly check, under 30 minutes.
Misconception 4: “Copy Someone Else’s Setup”
This article’s checklist is reference only. Your site’s traffic structure, geographic distribution, content topics are all different—copying 100% will cause problems.
A friend saw my 5-category block boosted revenue, copied it directly. His site’s traffic was mainly Brazil and Mexico—already few advertisers. Post-block Coverage Rate plummeted to 65%, revenue halved.
You must test yourself. My checklist just helps you avoid detours, not blindly execute.
Misconception 5: “Slight Coverage Drop Doesn’t Matter”
From 95% to 92% looks like just 3%, right? Actual meaning: 3% of your page views made zero money.
Assuming 100,000 daily PV, 3% = 3,000 blank ad slots. If your RPM is $3, that’s $9 lost daily, $270 monthly. That’s just 3%—drop to 85%, that’s $1,350 monthly.
So my iron rule: Coverage Rate below 90%, stop blocking immediately. Better to earn a bit less than waste traffic.
Ultimate Reminder: Don’t Violate Policy
Google has a vague rule: “Don’t overly restrict ad auctions.” While not explicitly stating how many blocks is “excessive,” my experience is:
- Sensitive Categories: Don’t exceed 10
- Authorized Buyers: Don’t exceed 5
- Coverage Rate: Stay above 90%
I know a blogger who blocked 20+ categories, received a warning email saying “excessive restrictions affecting ad delivery,” account limited for two weeks. Don’t copy him.
Conclusion
After all that, the core is one sentence: Ad blocking is technical work, not mindless operation.
Back to the opening problem—revenue decline, low-paying ad floods. Now you have the complete solution: from 2025’s new Authorized Buyers blocking policy, to site-type differentiated strategies, to strict testing processes and common pitfall avoidance.
If you want to start now, my recommendations:
- Today: Spend 10 minutes establishing baseline data sheet, record current RPM and Coverage Rate
- In 3 days: Block Dating and Gambling, two high-risk categories
- After a week: Check data, if Coverage Rate >90% and RPM up, continue blocking Weight Loss
- After a month: Re-check Authorized Buyers list, filter low-paying networks
Don’t expect to solve everything at once. From starting tests to stability took me two months. But now I earn an extra $300-500 monthly, annualized $4,000+—that ROI is worth it.
Final reminder: AdSense rules constantly change. Today’s effective strategy might not work in six months. Bookmark this article, review quarterly, check if your settings still make sense.
Wishing your AdSense revenue doubles. Questions welcome in comments—after all, every site’s situation differs, mutual exchange reduces pitfalls.
Complete AdSense Ad Blocking Operation Process
Complete testing workflow from establishing baseline data to progressively blocking low-paying ad categories
⏱️ Estimated time: 14D
- 1
Step1: Establish Baseline Data (3-7 Days)
Before blocking anything, you must record current state data to avoid mistaking normal fluctuations for blocking effects.
Record:
• Average RPM (Revenue Per Thousand Impressions)
• Ad Coverage Rate
• Impression share by category
• Daily revenue fluctuation range
Recommended Tool:
Use Google Sheets to create simple table with columns: Date, RPM, Coverage Rate, CPC, CTR, Notes. Update daily, after 5-7 days you'll see normal fluctuation range.
Why 3-7 Days Needed:
AdSense revenue fluctuates significantly—weekends vs. weekdays can differ 30%. If you change settings Friday and see revenue drop Saturday, you can't tell if it's from blocking or normal fluctuation. - 2
Step2: Upgrade to New AdSense Interface
November 2025's Authorized Buyers blocking feature only exists in the new interface—must switch first.
Operation Path:
• Log into AdSense dashboard
• Left menu → "Brand Safety"
• Click "All Sites"
• Seeing "Manage Sensitive Categories" and "Brands and Authorized Buyers" means new version
If Not Seeing:
Click settings icon top-right → Select "Switch to new AdSense". Note: Cannot revert after switching, but new version has more powerful features. - 3
Step3: Block High-Priority Sensitive Categories (Days 1-3)
Start with the three safest categories—extremely low CPC with minimal Coverage Rate impact.
Day 1 Operation:
• Enter "Brand Safety" → "Manage Sensitive Categories"
• Check "Dating"
• Save settings
Day 3 Operation (wait 48 hours):
• Check RPM and Coverage Rate
• If Coverage Rate still >90% and RPM steady or up, continue
• Check "Weight Loss"
• Save settings
Day 5 Operation:
• Check data again
• If data normal, check "Gambling & Betting"
• Save settings
Critical Warning Line:
Coverage Rate <90% stop immediately, cancel last block. - 4
Step4: Filter and Block Low-Paying Authorized Buyers (Days 7-10)
This is 2025's most effective optimization method, more important than Sensitive Categories blocking.
Day 7 Operation:
• Enter "Brand Safety" → "Brands and Authorized Buyers"
• Sort by "Impressions" descending
• Focus on Authorized Buyers with >10% impression share
Filtering Criteria:
• Click into each Authorized Buyer to view 30-day data
• Find those with CPC significantly below site average (e.g., site average $0.20, theirs $0.06)
• Unfamiliar names, never-heard-of third-party networks
Blocking Operation:
• Only block 1 at a time
• Wait 48 hours to observe data
• If Coverage Rate >90% and RPM increases, continue to next
• Maximum 3-5 blocks to avoid over-restriction
Real Case:
My tech blog blocked "GlobalAdNetwork" (15% impression share, $0.06 CPC), Coverage Rate dropped from 94% to 92%, RPM rose from $2.80 to $3.20, 14% increase. - 5
Step5: Adjust Strategy by Site Type (Days 10-14)
Different site types need differentiated strategies—copying others' setups 100% will cause problems.
Tech/Programming Sites:
• Additional blocks: Sensationalism
• Keep: All Software, Electronics category ads
• Expected effect: RPM increase 10-15%
Lifestyle/Fashion Sites:
• Don't block: Weight Loss, Alcohol, Skin Exposure
• Only block: Dating, Gambling, Sexual Health
• Reason: Diet ads might have 3x higher CTR despite low CPC
Utility Sites:
• Block all impulse-purchase categories: Dating, Gambling, Religion
• Keep rational-decision categories: Software, Utilities
• Reason: Users are purpose-driven, come and go quickly
News/Content Aggregation:
• Mainly developing country traffic, block cautiously
• Only block top 3 high-priority categories
• Expected effect: 50-100% CPC increase (still low absolute value)
Judgment Basis:
Don't just look at CPC, check eCPM (Effective Cost Per Thousand Impressions) = (Clicks×CPC÷Impressions)×1000. Some low-paying ads have high click rates, better total revenue. - 6
Step6: Establish Long-Term Monitoring Mechanism
Blocking isn't one-time—AdSense ecosystem changes daily, requiring continuous optimization.
Daily Monitoring (First 2 Weeks):
• Check Coverage Rate >90%
• Check RPM above baseline
• Adjust immediately if abnormal
Weekly Monitoring (Week 3 onwards):
• Compare this week vs. last week average RPM
• Check for new low-paying Authorized Buyers
Monthly Review (Set Calendar Reminder):
• Check "Authorized Buyers" list every 15th
• Unblock networks that raised prices (CPC from $0.05 to $0.18)
• Block newly appearing low-paying networks
• Total time: 30 minutes
Warning Standards:
• Coverage Rate <90%: Stop blocking immediately
• 3 consecutive days RPM down >5%: Cancel recent block
• Receive Google warning email: Immediately reduce blocks
Long-Term Goal:
While maintaining 90%+ Coverage Rate, steadily earn extra $300-500 monthly. I achieved this after 2 months testing, annualized revenue increase $4,000+.
FAQ
Why did revenue drop after blocking low-paying ads?
Solutions:
• Immediately check AdSense dashboard's "Ad Coverage Rate" metric
• If below 90%, cancel last block
• Change to blocking only 1-2 categories at a time, wait 48 hours to observe data
• Focus on eCPM not just CPC—some low-paying ads have high click rates, better total revenue
Remember Google's iron rule: Coverage Rate must stay above 90%. Below that means advertisers can't fill your slots—too aggressive blocking.
Should new sites block low-paying ads immediately after AdSense approval?
Reasons:
• AdSense's machine learning needs data to understand your users and content
• Blocking too early prevents algorithm learning, might keep pushing low-paying ads
• New sites already have few advertisers—blocking might cause Coverage Rate crash
Recommended Timing:
• Run at least 3 months
• Daily impressions stable at 20,000+
• Accumulated sufficient user behavior data
What to Do This Stage:
Focus on content quality and traffic growth, let AdSense algorithm fully learn. Once data volume is sufficient, optimize blocking strategy—effects will be much better.
Which is more effective: Authorized Buyers blocking or Sensitive Categories blocking?
Real Test Comparison:
• Blocking 5 Sensitive Categories: RPM up 6%, Coverage Rate down 5%
• Blocking 3 low-paying Authorized Buyers: RPM up 14%, Coverage Rate only down 2%
Why Authorized Buyers Better:
• More precisely targets low-paying ad sources (third-party networks aggregating many small advertisers)
• Less Coverage Rate impact (blocking entire network vs. entire category)
• Can see specific past 30-day data for more scientific judgment
Recommended Strategy:
First block 3 lowest-paying Authorized Buyers, then block 2-3 Sensitive Categories. This combo tested best for me—RPM up 12-18%, Coverage Rate still above 92%.
How to judge if an Authorized Buyer should be blocked?
Specific Criteria:
• Impression share >10% (significant impact)
• Average CPC significantly below site average (e.g., site $0.20, theirs $0.06)
• Unfamiliar name, never-heard-of third-party network
Viewing Method:
Enter "Brand Safety" → "Brands and Authorized Buyers" → Sort by impressions descending → Click into each Authorized Buyer to view 30-day detailed data.
Real Case:
I found an Authorized Buyer called "AdExchangePro" with 12% impression share, CPC only $0.07, while my site average CPC was $0.22. After blocking, Coverage Rate only dropped 1%, RPM rose 8%—classic should-block example.
Safety Tips:
• Only block 1 at a time, wait 48 hours to check data
• Maximum 3-5 blocks, don't exceed 5
• Don't block Microsoft, Amazon and other major companies' Authorized Buyers—usually high bidders
Why shouldn't lifestyle and fashion sites block weight loss ads?
Real Test Data From Friend's Site:
• Fashion blog Weight Loss category CPC: $0.06
• Other categories average CPC: $0.15
• But Weight Loss CTR: 2.8%, other categories: 0.9%
• eCPM comparison: Weight Loss $1.68, other categories $1.35
• Weight Loss actually contributed 18% of total revenue
Why This Happens:
• Fashion, beauty, lifestyle site audiences (mainly female) are inherently sensitive to weight loss topics
• Ad content highly relevant to site topic, users more willing to click
• Low CPC compensated by high click rate
Judgment Method:
Don't just look at CPC—must calculate eCPM = (Clicks×CPC÷Impressions)×1000. If a category's eCPM is above site average, don't block even if CPC is low.
Conversely, tech blogs see extremely low CTR on diet ads—should block without hesitation. Key is knowing your audience.
How long after blocking to see results? How long to judge effectiveness?
Why 48 Hours Needed:
• AdSense needs 24-48 hours to re-auction after changes
• First day data is often chaotic, inaccurate
• Ad fill needs adjustment time, premium advertisers won't fill immediately
Recommended Observation Period:
• Single category block: Wait 48 hours
• Multiple consecutive category blocks: Wait 48 hours each before continuing
• Authorized Buyers block: Wait 72 hours (bigger impact)
• Final assessment: Observe 7-day average data
Monitoring Metrics:
• First 2 days: Focus on Coverage Rate <90%
• Days 3-5: Observe if RPM stays above baseline
• Days 6-7: Compare this week vs. last week total revenue
When to Give Up:
If after 7 days Coverage Rate drops below 85%, RPM only up within 3%, your traffic structure doesn't suit aggressive blocking—should cancel some blocks.
Patience Important:
My first test saw RPM drop 5% in first 3 days, almost gave up. But persisted to day 5, premium ads started filling in, RPM rebounded to 12% above baseline. Don't conclude too early.
At what Coverage Rate should I stop blocking?
Why 90% So Important:
• Google's official recommended minimum standard
• Below 90% means over 10% ad slots blank, severe traffic waste
• Each 1% Coverage Rate drop equals losing 1% potential revenue
Actual Impact Calculation:
Assuming daily 100,000 PV, RPM $3:
• 95% Coverage Rate: Daily revenue = 100,000 × 0.95 × $3/1000 = $285
• 85% Coverage Rate: Daily revenue = 100,000 × 0.85 × $3/1000 = $255
• Daily loss $30, monthly $900
My Safety Strategy:
• Above 92%: Can continue moderate blocking
• 90-92%: Stop new blocking, observe current state
• 88-90%: Cancel last block
• <88%: Immediately cancel last 2-3 blocks
Special Cases:
If your traffic mainly from India, Brazil and other developing countries where advertisers are already scarce, recommend raising warning line to 92%. Sites with mainly US/Europe traffic can safely use 90%.
14 min read · Published on: Jan 8, 2026 · Modified on: Jan 22, 2026
Related Posts
Beyond AdSense: Complete Guide to Mediavine, Ezoic & Affiliate Marketing (2026 Edition)

Beyond AdSense: Complete Guide to Mediavine, Ezoic & Affiliate Marketing (2026 Edition)
Complete Guide to AMP Page AdSense: Boost Mobile Ad Revenue by 48%

Complete Guide to AMP Page AdSense: Boost Mobile Ad Revenue by 48%
WordPress AdSense Optimization Guide: Plugin Selection & Configuration (2026 Edition)


Comments
Sign in with GitHub to leave a comment