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What are common reasons for ad disapproval?

Introduction
When running a Google Ads campaign, one of the most frustrating experiences for advertisers is ad disapproval. This happens when Google reviews your ad and determines it violates one or more of its advertising policies. Ad disapprovals prevent your ads from serving, delay campaigns, and can even lead to account suspensions if repeatedly ignored. Understanding the most common reasons for ad disapproval allows you to proactively avoid mistakes, maintain compliance, and ensure smooth delivery of your ads.

1. Violation of Google’s Editorial Guidelines
Google enforces strict editorial standards to ensure a high-quality user experience. Ads that don’t follow proper spelling, grammar, punctuation, or formatting may be disapproved.

Examples:
– Using all caps (BUY NOW!!!)
– Excessive symbols (### HUGE SALE ###)
– Repetition of words or phrases (Cheap Shoes, Shoes Cheap, Best Cheap Shoes)
– Misleading clickbait (You Won’t Believe What Happens Next)

2. Inappropriate or Restricted Content
Google restricts or prohibits content that is considered inappropriate, offensive, or dangerous.

Examples:
– Ads promoting adult content, nudity, or sexually explicit material
– Weapons, explosives, or other dangerous products
– Gambling and betting (without proper certification and country restrictions)
– Drugs (recreational, unapproved supplements, steroids)
– Alcohol-related ads in restricted countries
– Political content without verification in applicable regions

3. Trademark Infringement
If you use trademarked brand names (like Nike, Zara, or Apple) without permission, your ad can be disapproved due to a violation of trademark policy.

Examples:
– Selling “Nike-style shoes” without authorization
– Using brand names in ad copy to mislead users
– Including brand terms in the display URL

4. Misrepresentation or False Claims
Google disapproves ads that make misleading, exaggerated, or false claims—especially about health, finances, or product performance.

Examples:
– “Lose 10 kg in 5 Days!”
– “Cure cancer with our natural tea”
– “Make ₹1,00,000 in 7 days – 100% guaranteed”
– Misleading prices (showing discounted price without conditions)

5. Destination (Landing Page) Violations
Google evaluates not just your ad, but also your landing page. If your page doesn’t meet Google’s policy standards, your ad won’t run.

Common issues:
– Destination not working (404 error or server down)
– Malware or phishing
– Incomplete website (under construction or lacks essential info)
– Misleading destination (ad says one thing, landing page shows something else)
– Pop-ups, auto-downloads, or redirecting the user elsewhere

6. Restricted Business Types or Sectors
Some businesses need pre-approval before advertising or are not allowed to advertise at all.

Examples:
– Financial services like loans, credit repair, crypto (require Google verification)
– Health supplements and over-the-counter drugs
– Alcohol or tobacco-related businesses
– Locksmiths and garage door services (in some regions, require advanced verification)
– Event ticket resellers (must comply with resale regulations)

7. Use of Unacceptable Keywords
Some keywords trigger automatic disapproval due to policy violations, especially in sensitive categories.

Examples:
– “Buy fake passport,” “get rich quick,” “cheap abortion clinic”
– Using adult or violent keywords outside of appropriate content
– Bidding on competitor brand names without authorization

8. Violating Personalized Advertising Policies
Google restricts the use of sensitive personal attributes in ads that make assumptions about users.

Examples of disapproved ad copy:
– “Are you depressed?”
– “Looking for gay dating?”
– “Struggling with weight loss as a woman over 50?”

Instead, ads must be phrased more generally:
– “Get professional mental health support”
– “Join inclusive dating platforms”
– “Explore weight management solutions”

9. Unverified Advertiser Identity
Google requires advertiser identity verification in certain countries and verticals. Failure to complete this process can lead to disapprovals.

Example:
– Running political ads without verifying your advertiser identity
– Promoting financial services without completing advertiser verification
– Not providing a business name or country in your account settings

10. Violating Shopping Ad or Product Feed Policies
For advertisers using Google Shopping or Performance Max for product listings, disapprovals can occur due to feed issues.

Examples:
– Product images with watermarks or promotional overlays
– Price mismatch between ad and landing page
– Missing GTIN, brand, or other required product data
– Using promotional text in titles (e.g., “50% Off – Adidas Shoes”)

Example: Myntra Ad Disapproval Scenario
Myntra runs a campaign promoting “Flat 70% Off on Puma Shoes – Today Only.” The ad gets disapproved. After investigation, the issues include:
– Use of all caps and exclamation marks (violates editorial policy)
– Landing page leads to a general shoes page without filters applied to Puma or showing the 70% offer (violates destination match policy)
– Ad copy suggests urgency (“Today Only”) but the sale is ongoing with no end date (misleading claim)

After rewriting the ad to “Get Up to 70% Off on Select Puma Footwear – Shop the Latest Deals” and fixing the landing page URL to show filtered Puma products, the ad is approved.

How to Fix a Disapproved Ad

  1. Open your Google Ads account

  2. Go to “Ads & Assets”

  3. Locate the disapproved ad and hover over the status for the reason

  4. Click “Edit” to fix the issue or appeal the decision

  5. Submit for review again

Tips to Avoid Future Disapprovals
– Read and understand Google’s ad policies: https://support.google.com/adspolicy
– Use proper grammar, no clickbait, and clear calls to action
– Avoid misleading claims or using sensitive user assumptions
– Ensure your landing page works, matches the ad, and is transparent
– Don’t use unauthorized brand names or fake testimonials
– Regularly audit keywords, especially in display campaigns
– Consider using Google Ads Policy Manager to track violations in MCC accounts

Conclusion
Ad disapprovals are common but avoidable. Most often, they stem from issues in ad copy, destination pages, or policy violations around sensitive content. By understanding and respecting Google Ads policies, advertisers like Myntra, Amazon, and MakeMyTrip can ensure smooth approvals, uninterrupted ad delivery, and better campaign performance. Being proactive with compliance saves time, protects budgets, and builds long-term trust with Google’s ad platform.

How to use scripts for automated rules?

Introduction
Google Ads Scripts are powerful tools that allow advertisers to automate repetitive tasks, customize campaign management, and enhance performance monitoring using JavaScript-based code. While automated rules in Google Ads allow you to perform specific actions based on predefined conditions (like pausing a keyword when cost exceeds ₹500), scripts offer far more flexibility and control. You can think of Google Ads Scripts as the advanced version of automated rules, capable of complex logic, data pulling, scheduling, and cross-account optimization.

Using scripts for automated rules is ideal for advertisers managing large accounts, multiple campaigns, or real-time bidding and budget adjustments. Unlike automated rules that have basic UI limitations, scripts can interact with external data, log reports to Google Sheets, and make decisions that would be impossible in the standard rule engine.

What Are Google Ads Scripts?
Google Ads Scripts are JavaScript-based snippets that run inside your Google Ads account. They interact with your campaigns, ad groups, keywords, and ads by using the Google Ads API in a simplified scripting language. These scripts can automate tasks like:
– Pausing underperforming ads
– Sending daily performance summaries to your email
– Adjusting bids based on weather or stock price data
– Auto-labeling keywords based on Quality Score
– Scheduling budget changes during sales periods

Why Use Scripts Instead of Standard Automated Rules?
Standard automated rules are limited to basic “if-this-then-that” logic and can’t access external sources, log custom reports, or manipulate bulk data flexibly. Scripts overcome this by allowing:
– Custom timeframes
– Complex multi-layered conditions
– Integration with Google Sheets, APIs, or CRMs
– Logging and real-time alerts
– Scalable actions across large or MCC accounts

How to Access and Set Up a Script

  1. Log into your Google Ads account

  2. Go to Tools & Settings (top menu) → Bulk ActionsScripts

  3. Click the + button to create a new script

  4. Paste or write your JavaScript code in the editor

  5. Authorize the script to access your account

  6. Click Preview to see what the script will do without making changes

  7. If the preview looks good, click Run

  8. You can also schedule the script to run hourly, daily, weekly, or monthly

Example 1: Pause Low-Performing Keywords Script
Let’s say you want to pause any keyword that has spent more than ₹1000 and has zero conversions over the last 7 days.

javascript
function main() {
var keywordIterator = AdsApp.keywords()
.withCondition("Conversions < 1")
.withCondition("Cost > 1000")
.forDateRange("LAST_7_DAYS")
.get();
while (keywordIterator.hasNext()) {
var keyword = keywordIterator.next();
keyword.pause();
Logger.log(“Paused keyword: “ + keyword.getText());
}
}

This script can replace what would normally require multiple rules across campaigns and ad groups.

Example 2: Email Daily Performance Summary
Want to receive daily campaign performance summaries directly to your email?

javascript
function main() {
var report = AdsApp.report(
"SELECT CampaignName, Clicks, Impressions, Cost, Conversions " +
"FROM CAMPAIGN_PERFORMANCE_REPORT " +
"DURING YESTERDAY");
var rows = report.rows();
var summary = “Campaign Performance (Yesterday):\n\n”;

while (rows.hasNext()) {
var row = rows.next();
summary += row[‘CampaignName’] + “: “ + row[‘Clicks’] + ” clicks, “ +
row[‘Impressions’] + ” impressions, ₹” + row[‘Cost’] + ” cost, “ +
row[‘Conversions’] + ” conversions\n”;
}

MailApp.sendEmail(“your-email@example.com”, “Daily Campaign Summary”, summary);
}

This level of automation isn’t possible with regular automated rules.

Example 3: Change Bids Based on Device Performance
Let’s increase bids for mobile devices if conversion rate is higher than 5%.

javascript
function main() {
var campaignIterator = AdsApp.campaigns().get();
while (campaignIterator.hasNext()) {
var campaign = campaignIterator.next();
var stats = campaign.getStatsFor(“LAST_7_DAYS”);

if (stats.getMobileConversionRate() > 0.05) {
campaign.targeting().platforms().mobile().setBidModifier(1.2);
Logger.log(“Increased mobile bid for: “ + campaign.getName());
}
}
}

Best Practices for Using Scripts for Automation

Always preview first: Preview mode shows what the script will do without actually making changes
Use labels: Before applying actions like pause/delete, label them first so you can track what changed
Schedule smartly: Don’t run complex scripts too frequently—they can slow down performance or exceed limits
Log changes: Use Logger.log or Google Sheets integration to keep a record of changes
Combine with alerts: Have scripts email you when thresholds are met, so you’re always aware of automation actions
Test in a sandbox account: If you’re unsure, test your script in a dummy account before applying to live campaigns

Example: MakeMyTrip Automating Ad Scheduling for Seasonal Destinations

MakeMyTrip wants to increase visibility for “Goa Beach Resorts” from Friday to Sunday and reduce visibility Monday to Thursday. Instead of manually adjusting bids each week, they use this script:

javascript
function main() {
var today = Utilities.formatDate(new Date(), AdsApp.currentAccount().getTimeZone(), 'EEEE');
var bidModifier = (today == “Friday” || today == “Saturday” || today == “Sunday”) ? 1.3 : 0.7;

var campaignIterator = AdsApp.campaigns()
.withCondition(“Name CONTAINS ‘Goa Beach'”)
.get();

while (campaignIterator.hasNext()) {
var campaign = campaignIterator.next();
campaign.setBidModifier(bidModifier);
Logger.log(“Set bid modifier to “ + bidModifier + ” for “ + campaign.getName());
}
}

This ensures MakeMyTrip spends more when weekend demand is high without manual intervention.

Conclusion

Scripts for automated rules in Google Ads give advertisers the freedom and power to execute complex logic that traditional automated rules cannot. Whether you’re managing massive eCommerce accounts, travel campaigns, or local services, using scripts can help you cut time, reduce manual errors, and make smarter, faster decisions. From pausing poor-performing keywords to real-time reporting and dynamic bidding, Google Ads Scripts transform how automation is applied inside your campaigns. Once you understand the fundamentals and start with templates, the opportunities for optimization are almost endless.

What are Google’s invalid click protections?

Introduction
Google Ads operates on a pay-per-click model, which means advertisers pay every time someone clicks on their ad. However, not every click is genuine or valuable. Some clicks may be accidental, malicious, or generated by bots—commonly referred to as invalid clicks. If left unchecked, invalid clicks can waste ad budgets, distort performance data, and reduce return on investment. To protect advertisers, Google has built an advanced invalid click protection system that detects and filters out suspicious or low-quality traffic before advertisers are charged. Let’s explore how this system works and examine a real-world example to understand its impact better.

What Are Invalid Clicks?
Invalid clicks are clicks on Google Ads that Google considers illegitimate, unintentional, or artificial. These clicks do not represent genuine user interest and include:

– Manual clicks intended to drive up an advertiser’s costs
– Clicks from automated tools, bots, or crawlers
– Repeated clicks from the same user or IP address within a short time
– Accidental clicks from mobile devices or poor ad placements
– Clicks with no engagement that occur within seconds

How Google Detects Invalid Clicks
Google’s invalid click protection system operates in three main stages: real-time detection, automated filtering, and post-click analysis.

  1. Real-Time Detection
    When a click occurs, Google instantly evaluates the behavior and source of the click. It checks for patterns of abnormal activity such as rapid clicking, known bot behavior, mismatched geography, or excessive clicks from the same IP or device. If it detects suspicious activity, the click is marked as invalid and filtered out before billing.

  2. Automated Filtering
    Google’s algorithms and machine learning models constantly analyze billions of clicks and impressions. The system blocks traffic from known malicious sources (e.g., bot networks, VPN abuse, click farms). These clicks never show in your performance reports or charges.

  3. Post-Click Analysis and Refunds
    If a click passes initial filters but is later flagged as invalid, Google issues an invalid traffic credit. This credit refunds the amount to your Google Ads account. These can be seen in your billing section under “Adjustments”. The clicks may still appear in performance reports but won’t count against your cost.

Where to View Invalid Click Data
To track invalid clicks in your Google Ads account:
– Go to your campaign or keyword tab
– Click on ColumnsModify columns
– Add “Invalid Clicks” and “Invalid Click Rate”
This will show how many clicks were automatically filtered out and what percentage they represent of total clicks.

Example: Amazon India – Google’s Invalid Click Protection in Action

Suppose Amazon India is running a Google Ads campaign for “Bluetooth headphones under ₹2000.” During the Diwali sale, their ads experience a sharp spike in clicks from certain mobile apps and a particular location where Amazon doesn’t deliver. Upon inspection, their internal analytics show a CTR of 18% and almost no conversions from that segment.

Here’s how Google protects Amazon in this scenario:

Stage 1: Google’s system detects a high volume of clicks coming from a few Android games with a known history of generating accidental taps. The CTR is abnormally high, and session durations are extremely short. Google filters out most of these clicks in real-time.

Stage 2: A few clicks still go through but are flagged during post-click analysis as bot-generated. These are credited back to Amazon as invalid traffic credits in their billing statement. No manual action is needed from Amazon.

Stage 3: Amazon’s team, using the Invalid Clicks columns in the campaign dashboard, confirms a 9% invalid click rate. They proactively exclude that placement and similar mobile apps from their Display Network settings. This prevents further exposure to low-quality traffic.

The result: Amazon protects its campaign budget, improves conversion rates, and keeps ad performance data clean and reliable.

Benefits of Google’s Invalid Click Protection

Automatic Filtering: Most invalid clicks are blocked without advertisers needing to act
Billing Protection: Advertisers are not charged for detected invalid activity
Transparency: Metrics like Invalid Click Rate help advertisers assess traffic quality
Constant Updates: Google’s AI models learn and improve with global data
Peace of Mind: Especially helpful for big-spending brands like Myntra, Flipkart, or Zara during sales campaigns

What You Can Do to Support Google’s System

Although Google’s protections are robust, advertisers can take steps to strengthen them further:
– Enable conversion tracking to flag low-quality clicks
– Regularly review the Search Terms Report for irrelevant traffic
– Add negative keywords to block bad matches
– Use IP exclusions if you spot suspicious activity
– Exclude mobile app placements or categories that drive poor traffic
– Use tools like Google Analytics or third-party fraud detection (e.g., ClickCease)

Conclusion
Google’s invalid click protection system is an essential safeguard in the PPC ecosystem. Through machine learning, big data analysis, and real-time filtering, it ensures advertisers aren’t unfairly charged for non-genuine clicks. Brands like Amazon, Zara, and MakeMyTrip benefit from this built-in safety net, especially during high-traffic periods where fraud risks increase. While Google does most of the heavy lifting, advertisers should still monitor traffic patterns and optimize targeting to reduce exposure to click fraud further. The combination of Google’s protection and advertiser vigilance creates a secure, profitable advertising environment.

How to handle click fraud?

Introduction

Click fraud, also known as invalid clicks, refers to illegitimate clicks on your Google Ads that cost you money without any real interest or potential for conversion. It can come from bots, competitors, or malicious users repeatedly clicking your ads to exhaust your daily budget. For advertisers—especially in competitive industries like travel, fashion, finance, or e-commerce—click fraud can lead to wasted spend, inaccurate performance data, and missed business opportunities. Fortunately, Google has built-in systems to detect and filter most invalid clicks, but there are still several steps you should take to monitor, prevent, and address click fraud proactively.

What Is Click Fraud?

Click fraud occurs when individuals, automated scripts, or malicious competitors intentionally click on your pay-per-click (PPC) ads with no intention of interacting with your business. Their goal is often to drain your ad budget or skew your performance data. This can affect not only your daily spend but also your campaign optimization strategies and bidding models, especially if you rely on automated bidding or conversion tracking.

Types of Click Fraud

Manual Click Fraud – Done by humans, often your competitors or hired individuals clicking on your ads repeatedly to exhaust your ad spend

Automated Click Fraud – Involves bots or scripts that crawl and click your ads repeatedly

Click Farms – Groups of low-paid workers hired to click ads, like botnets but using real humans

Competitor Clicks – Directly done by rival businesses to sabotage your ad performance

Accidental Clicks – Not necessarily malicious, but often occur on mobile devices or display ads where users mistakenly tap on an ad

Signs of Click Fraud

Sudden spikes in click volume without a corresponding increase in conversions

Very high CTR (Click-Through Rate) with very low engagement or conversion rates

Multiple clicks from the same IP address or location

Short session durations (few seconds on your site)

Repeated clicks on the same ad from unusual locations

A high number of clicks on specific keywords where competition is fierce

How Google Automatically Handles Click Fraud

Google has a sophisticated system in place that automatically detects and filters invalid clicks before advertisers are charged. These are known as automatically filtered invalid clicks, and you can view them in your account under the “Invalid Clicks” and “Invalid Click Rate” columns. If Google detects a suspicious click after charging you, it issues a refund in the form of invalid traffic credit, which you can see in your billing statement.

However, no system is perfect. That’s why advertisers should implement additional layers of defense.

Steps to Handle Click Fraud Proactively

  1. Monitor Your Click Data Frequently
    Keep a close eye on your click data across devices, networks, and geographies. Use Google Ads’ segmentation features and Analytics reports to spot anomalies. If you notice that clicks from a particular area or device type are high but conversions are nonexistent, dig deeper.

  2. Enable IP Exclusions
    If you identify specific IP addresses that are generating suspicious or repetitive clicks without conversions, you can block them:
    – Go to the Google Ads campaign you want to protect
    – Click on “Settings” > “Additional Settings”
    – Expand “IP exclusions” and add the IP addresses you want to block
    This is especially helpful if you’re running local campaigns and notice repeated activity from known competitors.

  3. Use Click Fraud Protection Software
    Third-party tools like ClickCease, ClickGUARD, or PPC Protect provide real-time protection against click fraud. These platforms use machine learning to detect patterns of invalid behavior, block IPs automatically, and provide you with reports of suspicious activity. Some integrate directly with Google Ads to automate exclusions.

  4. Use Location and Device Targeting Wisely
    Click fraud often comes from specific countries or mobile devices where bots or farms are more common. If you’re seeing invalid traffic from regions that aren’t your market, exclude them. You can also use bid adjustments to reduce exposure on mobile or tablet devices if fraudulent activity is higher there.

  5. Set Up Conversion Tracking
    If you don’t have conversion tracking enabled, it becomes harder to detect fraud. Clicks that never convert are hard to flag. When you track conversions properly, you can identify which keywords, locations, and devices bring in quality traffic. Anything that generates high clicks but zero conversions might be suspicious.

  6. Monitor Bounce Rates and Session Durations
    Use Google Analytics to analyze how long users stay on your site after clicking your ad. High bounce rates (e.g., 90%+) or short session durations (e.g., under 5 seconds) may indicate invalid or accidental clicks. Combine this insight with traffic sources and IP data to detect patterns.

  7. Check for Invalid Clicks Reports
    In your Google Ads interface, add the columns “Invalid Clicks” and “Invalid Click Rate” to your campaign and keyword views. This lets you see how many invalid clicks Google is catching. If your invalid click rate is high (e.g., above 10%), your niche may be highly targeted by click fraud.

  8. Avoid Running Display Ads on Mobile Apps
    Mobile app traffic often generates many accidental or fraudulent clicks. You can exclude mobile app placements manually:
    – In your Display campaign, go to Placements
    – Exclude apps by targeting adsenseformobileapps.com or using category exclusions
    This helps reduce wasted spend from in-app games or irrelevant placements.

  9. Use Remarketing Lists
    Rather than opening your campaigns to a completely broad audience, remarketing campaigns only target users who have previously visited your site. These users are more likely to be legitimate, reducing the chance of fraud and increasing conversion likelihood.

  10. File a Click Quality Report with Google
    If you suspect major fraud that’s not being caught, you can contact Google Ads support and file a Click Quality Inquiry:
    – Visit https://support.google.com/google-ads/contact/click_quality
    – Fill in details of your account, the campaigns affected, and the suspicious activity
    Google may investigate and issue a refund if invalid clicks are found.

Case Example: Zara Blocking Competitor Click Fraud

Imagine Zara is running a new ad campaign for “Zara Summer Dresses 50% Off.” They notice that one campaign targeting “Zara dresses online” has a CTR of 12%, but a conversion rate of only 0.3%. On deeper inspection using Google Analytics and Google Ads, they find that many of the clicks are coming from one region where Zara has no physical presence or market.

They trace the clicks to repeat behavior from the same IP range. Zara adds the IPs to the exclusion list, restricts the campaign to known profitable cities, and enables a click fraud detection tool like ClickCease. Within 7 days, Zara’s CTR drops slightly but conversion rate improves dramatically and budget is preserved for high-value traffic.

Conclusion

Click fraud can quietly drain your ad budget and ruin the performance of well-structured Google Ads campaigns. While Google does a good job catching much of it, advertisers should remain vigilant and implement their own layers of protection. By monitoring IP activity, excluding poor placements, using anti-fraud software, analyzing bounce rates, and filing click quality inquiries, you can significantly reduce the impact of invalid clicks. This ensures your budget is spent on real users who are actually interested in your product or service, which ultimately drives better ROI and growth. Regular audits and proactive security practices make click fraud a manageable risk—not an unstoppable threat.

How to run a competitor analysis with Auction Insights?

Introduction

Understanding your competitors in the Google Ads landscape is crucial to making smart decisions and improving campaign performance. One of the most valuable tools for this purpose is the Auction Insights report. It gives you access to key comparative metrics that show how your ads are performing in relation to others who are bidding on the same keywords. While Google Ads doesn’t provide full visibility into your competitors’ strategies, Auction Insights offers a powerful view of your share of voice, who your major rivals are, and how often they outrank or overlap you in the ad auction.

Running a proper competitor analysis using Auction Insights can help you benchmark your campaigns, identify aggressive advertisers, and adjust your bidding, ad copy, or budget strategies to gain a competitive edge.

What is Auction Insights?

Auction Insights is a reporting feature within Google Ads that shows how your performance compares with other advertisers who participated in the same auctions as you. It is available at the campaign, ad group, and keyword levels for Search, Shopping, and Performance Max campaigns. Auction Insights doesn’t reveal your competitors’ actual ad creatives or CPCs, but it does provide relative performance metrics that help you gauge market competitiveness and visibility.

Why Use Auction Insights for Competitor Analysis?

– Identify who your main advertising competitors are
– Understand how often they show up in the same auctions
– Discover how often their ads appear above yours
– See how aggressive they are with bids and budgets
– Spot trends in competitor activity (e.g., seasonality, ramp-up, or slowdown)
– Adjust your bidding strategy to counter strong competitors
– Find opportunities to outperform weaker players in your space

Key Metrics in Auction Insights

To use this report effectively, you must understand each metric and what it tells you:

  1. Impression Share
    This is the percentage of impressions your ads received out of the total available impressions for the keywords you’re targeting. A low impression share usually indicates missed opportunities due to budget limitations or low Ad Rank.

  2. Overlap Rate
    The percentage of times your competitor’s ad was shown in the same auction as yours. A high overlap rate means you and the competitor are often going head-to-head.

  3. Position Above Rate
    This shows how often your competitor’s ad was shown in a higher position than yours in the same auction. If this rate is high, their ad is regularly outranking yours.

  4. Top of Page Rate
    The percentage of times your ad (or your competitor’s ad) appeared above the organic results (i.e., on top of the page). A lower rate here can indicate poor bidding, lower quality score, or unoptimized ad copy.

  5. Absolute Top of Page Rate
    This indicates the frequency at which your ad (or competitor’s ad) appeared in the very first position of the page.

  6. Outranking Share
    The percentage of times your ad ranked higher than a specific competitor’s ad in the same auction. A high outranking share suggests you are bidding more aggressively or have better quality.

How to Access Auction Insights

  1. Log into your Google Ads account

  2. Navigate to the campaign, ad group, or keyword tab you want to analyze

  3. Select the checkbox next to one or more campaigns or keywords

  4. Click on “Auction Insights” from the menu

  5. A report will be generated showing all the competitors who were in the same auctions as your ads and the six key metrics mentioned above

Step-by-Step Guide to Running a Competitor Analysis

Step 1: Choose the Right Scope

Begin by selecting the appropriate level of analysis. For broad market insights, use the Auction Insights at the campaign level. For more detailed analysis on specific products or services, use the ad group or keyword level. For instance, if Zara is running campaigns for women’s formal dresses, analyzing Auction Insights at the keyword level for “Zara formal dress” can show which fashion retailers are competing on those exact terms.

Step 2: Identify Your Key Competitors

Once the report is generated, take note of the competitors that consistently appear. If a specific advertiser has high overlap and high position above rates, they’re clearly investing in the same audience. In a MakeMyTrip travel campaign, competitors might include Goibibo, Yatra, or Cleartrip. These names can give you clues on industry competitiveness and help you plan counter strategies.

Step 3: Analyze Impression Share

Look at your impression share and compare it with your competitors. If your share is low and theirs is high, they are likely dominating the auctions either with higher bids, better quality score, or larger budgets. If your impression share is strong and consistent, you’re maintaining a healthy presence.

Step 4: Check Overlap Rate and Position Above Rate

If a competitor has a high overlap rate and frequently appears above you, it’s time to dig deeper:
– Are they showing more compelling ads?
– Are their landing pages better aligned?
– Do they have higher Ad Rank?

If a competitor appears above you often but has a similar or lower overlap rate, it may suggest they’re bidding more aggressively but not always competing in the same auctions.

Step 5: Compare Top of Page and Absolute Top of Page Rates

If your Top of Page rate is low, most of your impressions may be showing below organic results, which results in poor CTR. If your competitor has a higher Top or Absolute Top rate, they are gaining more visibility. You might consider:
– Increasing your bids or budget
– Improving Quality Score by refining your ad relevance, expected CTR, and landing page experience
– Using ad extensions to improve ad appeal and surface area

Step 6: Evaluate Outranking Share

This metric is valuable when you have specific competitors you want to beat. If your outranking share against a key rival is low, your ads are underperforming. To improve:
– Analyze and enhance ad relevance
– Use more aggressive bid strategies like Target Impression Share
– Focus on campaign segmentation by device, geography, or audience to refine targeting

Step 7: Benchmark and Track Over Time

Competitor analysis isn’t a one-time task. Set up regular weekly or monthly checks to track trends:
– Has a competitor increased their impression share recently?
– Has your position above rate improved or declined?
– Are new advertisers entering the auction?

You can export Auction Insights data and chart these metrics over time to monitor trends.

Step 8: Use Insights to Take Action

Based on your findings, apply specific changes such as:
Bidding: Increase bids or switch to Target Top of Page strategy to improve visibility
Ad Copy: Study your competitors’ messaging and offer better or unique value propositions
Budgeting: Shift budget to high-intent campaigns where competition is weaker
Segmentation: Break campaigns into more targeted segments to focus on underserved geos or devices

Step 9: Use Tools Alongside Auction Insights

Auction Insights is just the beginning. To go further:
– Use SEMrush or SpyFu to analyze competitor ad copy, keywords, and budget estimates
– Use Google Trends to understand market demand for the keywords
– Use Ad Preview & Diagnosis Tool to manually see what ads competitors are running

Example 1: Zara Running Women’s Fashion Campaign

Zara is bidding on keywords like “summer dresses for women.” The Auction Insights report reveals high overlap and position above rates from Myntra and Amazon. Zara’s impression share is 48%, while Myntra’s is 76%. Their top-of-page rate is also lower. This analysis suggests that Myntra is either bidding more or has better Quality Score. Zara could improve by adjusting its bids, adding sitelinks for “Free Shipping” and “Summer Collection,” and improving ad headlines with seasonal urgency like “Flat 40% Off – Zara Summer Styles.”

Example 2: MakeMyTrip Advertising Holiday Packages

MakeMyTrip is running a campaign targeting “Thailand holiday packages from Delhi.” Auction Insights shows Goibibo and Yatra have high overlap and are outranking MakeMyTrip. Goibibo has an absolute top rate of 70%, while MakeMyTrip is at 40%. The audit reveals MakeMyTrip’s ad copy is more generic. To compete, they revamp the ads to say “Thailand Holiday from Delhi – ₹35,000 | 5N/6D Flight + Hotel” with sitelinks for Visa Info, Hotel Options, and Customer Reviews.

Conclusion

Auction Insights in Google Ads is an incredibly powerful tool for performing competitor analysis. It offers direct visibility into how often your ads appear against your rivals, how you rank, and how much market share you’re capturing. By learning how to interpret and act on these metrics—such as impression share, position above rate, and outranking share—you can make data-driven decisions to optimize bids, improve ad copy, fine-tune budgets, and ultimately outperform your competitors. Make Auction Insights a regular part of your campaign analysis workflow, and you’ll stay one step ahead in the Google Ads battlefield.

How to audit a Google Ads account?

Auditing a Google Ads account is essential for identifying performance issues, wasted spend, missed opportunities, and areas for growth. Whether you’re taking over a new account, reviewing your own campaigns, or preparing for quarterly strategy planning, a well-structured audit helps you improve ROI, quality score, and overall ad efficiency. Here’s a comprehensive step-by-step guide to auditing a Google Ads account effectively.

1. Set Audit Objectives
Before diving into the account, clarify what you’re trying to achieve from the audit. Common goals include improving conversions, reducing CPA, identifying structural issues, boosting ROAS, or preparing for scaling. This helps you focus your efforts and recommendations on what matters most.

2. Review Campaign Structure
Check if the account is well-organized with a logical structure. Campaigns should be separated by goals, product categories, match types, brand vs. non-brand, or geography. Poor structure can lead to confusion, bidding conflicts, and poor budget distribution. A good structure example: Search_Zara_Dresses_India_Brand | Search_Zara_Dresses_India_NonBrand

3. Check Campaign Settings
Go into each campaign’s settings and verify the following:
– Networks: Search campaigns should target Search Network only (unless you intentionally use Display select)
– Locations: Are the right countries, cities, or regions being targeted? Use location reports to ensure the campaign isn’t wasting spend in low-performing areas
– Languages: Confirm that selected languages match your audience
– Bidding strategy: Evaluate whether manual or smart bidding is appropriate based on goals and data volume
– Budgeting: Are daily budgets properly aligned with campaign importance and ROI?

4. Analyze Ad Group Structure
Each ad group should be tightly themed with related keywords. Avoid mixing unrelated terms in one group. For example, in a Zara campaign, separate ad groups like “Zara Maxi Dresses” and “Zara Office Wear” perform better than a single ad group named “All Dresses.”

5. Evaluate Keywords and Match Types
Review keyword match types—broad, phrase, exact—and ensure they’re used intentionally. Overuse of broad match without smart bidding or proper negatives can waste budget. Check for keyword duplication across campaigns and ad groups. Use the search terms report to identify irrelevant queries and add negative keywords where necessary.

6. Examine Ad Copy and Variations
Each ad group should have at least 2–3 ad variations for testing. Check:
– Are headlines and descriptions relevant to the keywords?
– Do they clearly communicate benefits and include CTAs?
– Are Responsive Search Ads being used effectively with a variety of headlines and descriptions?
– Is dynamic keyword insertion being used appropriately?

Ensure brand consistency in language and tone. For example, Zara ads should emphasize style, simplicity, seasonal trends, and deals—”Shop Zara’s Summer Collection – 30% Off This Week.”

7. Review Extensions
Ad extensions improve CTR and ad visibility. Verify that each campaign/ad group uses relevant extensions such as:
– Sitelinks (e.g., Women’s Collection, New Arrivals)
– Callouts (e.g., Free Shipping, Easy Returns)
– Structured Snippets (e.g., Brands: Zara, H&M, Mango)
– Price extensions, location, and promotion extensions if applicable

Missing or outdated extensions are a missed opportunity.

8. Quality Score Analysis
Check keyword-level Quality Scores to identify where improvements are needed. Quality Score is based on:
– Expected CTR
– Ad relevance
– Landing page experience
If scores are low, fix alignment between ad copy and keywords, and optimize the landing page content and speed.

9. Landing Page Experience
Verify that each ad directs to the most relevant landing page—not just the homepage. Pages should:
– Load quickly (especially on mobile)
– Match the ad message and keywords
– Be mobile-friendly
– Have a clear call to action (CTA)

Use tools like Google PageSpeed Insights to analyze loading issues.

10. Evaluate Audience Targeting
In Display, Video, and Performance Max campaigns, review audience segments used:
– Are custom segments, in-market, or affinity audiences being targeted?
– Are remarketing lists included?
– In Search campaigns, use “Observation” mode to gather performance insights without restricting reach

Ensure audience layering aligns with your product and campaign goals.

11. Conversion Tracking Setup
Go to Tools > Conversions and check:
– Are conversions defined correctly (purchase, lead, form fill)?
– Are duplicate conversions being counted?
– Is the right attribution model applied (Data-driven, Linear, etc.)?
– Are conversion values being used if your campaign is goaled on ROAS?

Use Google Tag Assistant or Tag Manager to validate if tags are firing correctly.

12. Analyze Device Performance
Segment performance by device—desktop, mobile, tablet. You may find that mobile CTR is higher, but conversion rate is lower. Adjust bid modifiers or create mobile-optimized campaigns if needed.

13. Location and Time Performance
Review geo-location reports. Are there cities or regions wasting budget with low ROAS? Apply location bid adjustments or exclusions as needed. Also, evaluate ad schedule reports to identify times of day or days of the week that perform best—set up ad scheduling to maximize ROI.

14. Negative Keywords
Ensure the account has both campaign-level and shared list negative keywords in place. Review the search terms report to find new irrelevant queries to block. For example, if you’re Zara bidding on “summer dresses,” you don’t want to show for “summer dress stitching tutorials.”

15. Impression Share and Auction Insights
Use these reports to analyze:
– Impression share lost due to budget or rank
– Top competitors
– Position above rate and overlap rate
If impression share is low due to budget, consider reallocating spend. If it’s due to rank, work on ad quality or increase bids.

16. Evaluate Smart Bidding and Experiments
If using automated strategies like Maximize Conversions, Target CPA, or Target ROAS, make sure there’s enough conversion volume (15–30/month). Use Experiments to test new strategies without risking the main campaign.

17. Check for Wasted Spend
Identify:
– Keywords with high spend and no conversions
– Display placements that are irrelevant
– Mobile apps or YouTube videos draining budget without performance
Exclude poor performers and refine targeting.

Conclusion
Auditing a Google Ads account is not just about fixing what’s broken—it’s about unlocking potential. By following this structured audit process, you ensure that your campaigns are well-targeted, efficient, and conversion-optimized. From campaign structure and ad relevance to bidding strategies and audience segmentation, a proper audit provides a roadmap to smarter decisions, better ROI, and sustainable growth. Regular audits every quarter or before seasonal campaigns help keep the account healthy and competitive.

How to troubleshoot drops in CTR?

Introduction
A sudden or gradual drop in CTR (Click-Through Rate) in your Google Ads campaigns can signal problems with your ad copy, targeting, competition, or even account structure. Since CTR directly affects your Quality Score, which impacts Ad Rank and CPC (Cost-Per-Click), it’s critical to diagnose and fix these issues quickly. Here’s a step-by-step guide to help you troubleshoot and improve CTR performance effectively.

1. Identify Where the Drop Occurred

Start by pinpointing which campaigns, ad groups, or keywords are experiencing the CTR drop.

– Use segmentation in Google Ads (by time, device, ad type, or network)
– Compare CTR across timeframes: this week vs last week, this month vs last month
– Use filters to identify top-declining elements in performance

Example: You may discover that CTR dropped only on mobile devices or for a specific keyword group like “Zara kidswear online.”


2. Analyze Search Terms Report

The Search Terms Report shows what users actually typed when they clicked or didn’t click on your ads.

– Check if irrelevant or low-intent queries are triggering your ads
– Add negative keywords to prevent mismatches
– Refine match types (broad → phrase or exact) to increase relevance

A sudden increase in irrelevant queries can dilute CTR even if your ad copy is unchanged.


3. Evaluate Changes in Ad Copy

If CTR drops after editing headlines, descriptions, or display paths, your new copy might be less engaging or less relevant.

– A/B test your current ads against previously higher-performing versions
– Make sure your ad copy reflects the exact keyword being searched
– Highlight promotions, USPs (unique selling points), and CTAs clearly

Example: Instead of “New Dresses Online,” try “Zara Summer Dresses – Up to 50% Off | Free Shipping.”


4. Check for Competitor Activity

Use the Auction Insights report to see if new competitors have entered or existing ones have become more aggressive.

– Look for increases in overlap rate, position above rate, or impression share changes
– If a major brand starts bidding on your keywords, you might need to raise bids or improve ad copy to compete

Solution: Consider adding sitelinks, callouts, and price extensions to enhance your ad’s visibility.


5. Review Ad Relevance and Quality Score

CTR is one component of Quality Score. A drop in ad relevance can hurt both CTR and Quality Score.

– Check keyword-level Quality Scores
– Use the Ad Preview and Diagnosis Tool to ensure your ad is actually showing for important keywords
– Align headlines and descriptions closely with search intent and landing page content

Example: If someone searches “Zara men’s formal shirts,” and your ad headline says “Shop Shirts Online – New Arrivals,” it’s less relevant than “Zara Men’s Formal Shirts – Limited Stock | Shop Now.”


6. Inspect Ad Rank and Average Position

If your ad has dropped lower on the results page (e.g., from position 2 to 4), visibility is reduced, and CTR will likely drop.

– Check if Average Position or Top Impression Share has decreased
– Boost bids or improve ad quality to regain top spots
– Consider using Target Impression Share bidding to stay in top-of-page results


7. Analyze Device and Location Segments

CTR may drop on specific devices (mobile vs desktop) or in certain locations.

– Segment by device and analyze CTR differences
– Optimize mobile ads with shorter, punchier copy and mobile-friendly landing pages
– For location drops, ensure the messaging or offer is regionally relevant

Example: MakeMyTrip ads offering “Weekend Goa Getaways” may underperform in Delhi but do better in Mumbai.


8. Improve Ad Extensions Usage

If your CTR dropped after removing or neglecting ad extensions, you’re missing valuable real estate.

– Re-enable sitelink, callout, structured snippet, and price extensions
– Write unique content in each extension to complement your ad
– Use promotion extensions during sales or seasonal offers

More visible ads almost always earn better CTR.


9. Optimize Landing Page Experience

Even though CTR happens before the user lands, the page content still affects CTR via Expected CTR and Ad Relevance.

– Ensure the landing page is directly related to the ad and keyword
– Avoid bait-and-switch tactics where the ad promise is not fulfilled
– Keep loading times fast and design clean—especially on mobile


10. Consider Seasonality or Demand Shifts

User behavior changes over time, especially around holidays, sales, or global events.

– Use Google Trends to compare keyword interest over time
– If CTR drop aligns with seasonal end (e.g., end of summer sales), pivot messaging
– Adjust budgets and focus based on demand curve

Example: CTR for “Zara Summer Collection” may decline in September—refresh ad creative for autumn styles.


11. Restore Top-Performing Ads

Look at your ad history and identify top performers from past months.

– Re-enable or replicate high CTR ads
– Review what language, tone, offers, or extensions were working
– Combine winning elements from old ads into new ones


12. Monitor Competition with Third-Party Tools

Use platforms like SEMrush, SpyFu, or iSpionage to track competitors’ ad changes.

– See what headlines or offers competitors are using
– Benchmark your CTR with industry standards
– Adapt with unique offers or benefit-driven messaging


Conclusion

CTR is a key performance metric that reflects how engaging and relevant your ads are to users. When it drops, it’s important to react quickly by analyzing your data across keywords, devices, ads, and competitors. By combining better targeting, refined messaging, smart use of extensions, and performance diagnostics, you can restore and improve your CTR over time. Always remember to test continuously and let data guide your optimizations.

How to handle account performance dips?

Introduction
Performance dips in a Google Ads account can be alarming, especially when they affect key metrics like clicks, conversions, cost-per-click (CPC), or return on ad spend (ROAS). These dips can happen suddenly or gradually and may stem from a range of issues such as competition, tracking problems, seasonal changes, or strategy shifts. Identifying the root cause quickly and applying corrective measures is crucial to stabilizing and improving performance.

Here’s a step-by-step guide on how to handle account performance dips effectively.

1. Identify the Metrics Affected
Start by determining what exactly is dipping. Is it impressions, clicks, CTR, conversions, conversion rate, cost, ROAS, or a combination?

Impressions down: Could be due to budget cuts, keyword disapproval, low Ad Rank
Clicks down: Could be caused by a drop in impressions or CTR
Conversions down: Might be due to landing page issues, changes in user behavior, or conversion tracking errors
CPC up: Could indicate more competition or lower Quality Score

2. Compare with Historical Data
Check your performance over different time frames to understand whether the dip is seasonal, short-term, or part of a long-term trend.

– Compare current data to the previous period (week-over-week or month-over-month)
– Compare to the same period last year to spot seasonality
– Use segments like device, location, time, and audience to identify specific areas of decline

3. Check for Technical Issues
Sometimes dips aren’t caused by campaign mismanagement but by technical errors.

Conversion tracking: Make sure the conversion tag hasn’t been removed or broken on your website
Landing page: Ensure the page loads properly on all devices and is not returning errors
Disapproved ads or keywords: Check the “Policy Manager” for violations or disapprovals
Budget limits: Confirm your campaigns aren’t restricted by low daily budgets

4. Review Changes in the Account
Audit the change history to check if any recent edits caused the dip.

– Did someone pause or remove high-performing keywords or ads?
– Were bid strategies changed (e.g., from Manual CPC to Target ROAS)?
– Were budgets shifted between campaigns or ad groups?
– Were targeting settings or ad schedules modified?

5. Analyze Auction Insights and Competitor Behavior
Sometimes your performance dips because competitors increased their bids, launched aggressive campaigns, or improved ad quality.

– Use the Auction Insights report to compare your impression share, top-of-page rate, and overlap rate with competitors
– If competitors are gaining ground, consider adjusting bids, improving ad quality, or refining your offer

6. Check Ad Relevance and Quality Score
A decline in Quality Score can increase CPC and lower your ad visibility.

– Evaluate ad copy relevance to keywords
– Check landing page experience and loading speed
– Improve CTR through better messaging and ad extensions

7. Investigate Audience Behavior and Trends
User behavior changes due to external factors like economic shifts, weather, or news.

– Use Google Trends to see if there’s reduced interest in your product or service
– Check in-market audience performance—have user interests shifted?
– Use Analytics to track changes in bounce rate, session duration, or returning visitors

8. Examine Device and Location Segments
Sometimes performance drops in just one segment (e.g., mobile traffic or a specific region).

– Segment your data by device to see if conversions dropped only on mobile or desktop
– Check location reports to identify regional performance changes
– Use bid adjustments to rebalance focus toward better-performing segments

9. Adjust or Test Bidding Strategies
If you’re using automated bidding (like Maximize Conversions or Target ROAS), performance can dip when Google’s algorithm recalibrates.

– Consider reverting to Manual CPC temporarily to regain control
– Test a different bidding strategy in an experiment before applying it across the campaign
– Ensure that conversion volume is sufficient for Smart Bidding (at least 15–30 conversions in the past month)

10. Refresh Ad Creatives and Offers
Fatigue can set in if your ads have been running too long without updates.

– Test new headlines, descriptions, and creative variations
– Launch new offers or discounts to reinvigorate engagement
– Rotate ads to keep content fresh and relevant for your audience

11. Reallocate Budget to Top-Performing Areas
If certain keywords, ad groups, or campaigns continue to underperform, shift budget to high-performing areas to protect ROI.

– Pause underperforming segments and scale winning ones
– Increase bids on high-intent search terms
– Focus on remarketing or branded campaigns to stabilize conversion rates

12. Run Experiments to Test Fixes
Use Google Ads Experiments to safely test changes like bidding strategy, landing page variations, or audience layering without disrupting your main campaign.

– This allows you to isolate what works and implement the winning version
– Experiments give data-backed results to justify further changes

13. Communicate and Set Expectations
If you’re managing accounts for clients or stakeholders, communicate proactively. Show what has happened, what you’re doing to fix it, and the expected timeline for recovery. Transparency builds trust.

14. Monitor Daily and Adjust Rapidly
After identifying causes and implementing fixes, closely monitor performance. Don’t wait weeks—check daily for key changes. Set alerts in Google Ads or use automated rules to notify you of drastic dips.

Conclusion

Performance dips in Google Ads are common, but they can be managed effectively with a structured, analytical approach. The key is not to panic but to isolate the problem through data, validate assumptions, and act fast. Whether it’s technical errors, strategy missteps, competition, or user behavior, most dips are fixable. By monitoring your campaigns regularly, running tests, improving relevance, and staying adaptable, you can recover quickly and maintain long-term performance stability,

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