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Category: Google Ads

Simplified Google Ads Conversions for Accurate Tracking

I’ve got exciting news from Google Ads! They’re making our lives a lot easier by simplifying the process of enhanced conversions into one convenient toggle switch. This means I can now enjoy more accurate conversion tracking with minimal setup effort.

Google is streamlining one of its key measurement tools by merging enhanced conversions for web and leads. By doing so, I can utilize multiple data inputs simultaneously, offering me more precise tracking with fewer hurdles.

What’s happening. Google Ads is consolidating its enhanced conversions into a single system. The best part? I no longer have to choose just one implementation method!

I can send user-provided data through various channels like website tags, Data Manager, and API integrations all at once. The prior separation between ‘enhanced conversions for web’ and ‘enhanced conversions for leads’ is disappearing, saving me from unnecessary complexity.

What’s changing and when: By June 2026, Google Ads is allowing the intake of user-provided data from website tags, Data Manager, and API connections. This collective approach is set to enhance conversion accuracy and boost bidding performance.

The switch to a single feature with an easy toggle removes the need for me to fuss over method selection like tag vs API.

Why I care. This update is a game-changer for conversion tracking during a time when data signals are vanishing. By utilizing multiple data sources, Google Ads can match conversions more precisely, which boosts my bidding efficiency and campaign successes. It also removes the technical obstacles, giving me seamless access to better data without needing to stick to one integration method.

Impact on advertisers. No action is required from me or any existing users if the customer data terms have already been agreed to. New users have the flexibility to enable enhanced conversions at both the account and individual conversion action levels, with the option to opt-out at the conversion action level if needed.

How to enable it (quick take). At the account level, I’ll simply go to Goals → Settings, enable enhanced conversions under Customer data use, and accept the data terms. For individual conversion actions, I can set up or edit a conversion action, enabling enhanced conversions during the process and agreeing to data terms.

Yes, but. To leverage enhanced conversions, I must agree to Google’s Data Processing Terms and ensure I’m complying with its expanding use of first-party data, a crucial step today.

Bottom line. Google is quietly pushing for broader adoption of user-provided data by making setup simpler. For me, this means improved performance with less manual input. I’m getting richer conversion data feeding into my bidding strategies and optimizations, and I can achieve greater results while simplifying my overall measurement strategy.

Inspired by this post on Search Engine Land.

April 10, 2026
Maximize ROAS by Slashing Paid Media Waste

I used to think hitting revenue targets with the same PPC budgets was challenging, but with rising platform costs, it’s like facing an invisible budget cut. It’s time to rethink our approach.

Data shows that average CPCs are up by as much as 40%, according to Wordstream, leaving teams grappling with flat marketing budgets at 7.7% of company revenue, as Gartner points out.

In my experience, 20-30% of accounts’ spend underperforms, which highlights a pervasive inefficiency in paid media as we know it in 2026. But all is not lost! Efficiency is about strategic spending, not just cutting costs. Let me walk you through discovering waste and optimizing for maximum returns.

The focus on efficiency has escalated as paid media automation obscures crucial data. Simultaneously, businesses are freezing budgets but still targeting growth, facing inflation that increases CPCs annually by about 10% in my observations.

With AI automation pushing us into smart bidding, managing rising CPCs requires skill in adjusting the right strategies. Customers’ attention is now scattered across multiple platforms, often leading to simultaneous double-screening.

A hard look at where every dollar goes is essential, shifting the fundamental business question from “how do we spend more?” to “how do we maximize our returns?”

Upon auditing accounts, I apply the 20-30% rule to identify inefficiencies. Whether it’s a product consuming too much budget or search term reports revealing spend on irrelevant queries, these are the typical culprits.

Common waste zones involve zero-conversion products, low ROAS/CPL outliers, and high spend with low returns. To address these, I apply impression, clicks, and spend thresholds to verify data adequacy.

When budgeting, I prioritize full-funnel tactics. Conversion-focused spending should be safeguarded, ensuring high-intent, high-return segments retain funding.

Creative assets are no longer just nice additions but essential to campaign performance. Platforms need continuous variations to function optimally.

I integrate AI-driven tools for analytics, but human direction remains crucial in areas where strategic insight is required. Automation should enhance decision making, not replace it entirely.

The bid strategies I select depend on conversion data and my ROAS goals. From Target CPA to Maximize Clicks, choosing wisely is key to success.

My advice is to conduct waste audits regularly, protect lower-funnel budgets, refresh creatives frequently, shift to blended measurement practices, and automate responsively. With these steps, efficiency isn’t just possible; it becomes a competitive advantage.

Inspired by this post on Search Engine Land.

April 10, 2026
Explore Google’s New Swipeable Location Carousel in Ads

I recently stumbled upon an exciting development from Google that’s set to transform how we view local search ads. They’re experimenting with a swipeable location carousel, designed to make results more interactive and competitive, especially for advertisers with multiple locations.

The key change lies in how Google is planning to make local search ads more engaging. By grouping multiple business locations into a horizontal carousel, they allow users to swipe through different options right from the ad unit. Imagine being able to compare options without leaving the search results page. This feature could potentially change how advertisers capture nearby demand.

What’s Happening: This new format for Google Ads aims to consolidate business locations into a swipeable carousel. It promises a richer browsing experience for users, who can now view multiple locations directly within the ad.

How It Works: Instead of displaying each location separately, the carousel groups them together. Each location includes business details such as ratings and proximity, all easily accessible by swiping.

Zoom In: The move from static, stacked listings to a more dynamic experience is notable. It consolidates multiple location listings into one elegant, swipeable unit.

Why We Care: For advertisers, this could mean increased visibility in a single ad, while users enjoy a faster way to compare options nearby. It’s a win-win.

Between the Lines: While this could boost engagement with location-based ads, it might also heighten competition within the carousel as businesses compete for user attention.

What to Watch: I’m eager to see if this feature rolls out more widely and the impact it will have on click-through rates and overall local ad performance.

First Spotted: This intriguing update was first noticed by Anthony Higman, Founder of Adsquire, who shared his discovery on LinkedIn.

Inspired by this post on Search Engine Land.

April 8, 2026
Boost Your Ad Campaigns with Google’s AI Text Rule Cloning

I’m excited to share some fantastic news for advertisers using Google Ads! They’ve introduced a new feature that lets us scale AI-generated ads quickly while keeping our brand’s voice consistent and under our creative control.

Google is granting us more influence over AI-generated ad copy, paving the way for us to expand our campaigns efficiently without compromising our brand consistency.

What’s happening: Google Ads is testing a beta feature where we can reuse text guidelines from existing campaigns. This means we don’t have to start from scratch each time, simplifying the process of maintaining brand rules.

How it works: With just one click, I can apply the approved tone, style, and messaging rules from one campaign to another, keeping AI-generated ads on-brand and cutting down on setup time.

Why we care: This feature is a game-changer, allowing me to launch campaigns faster while ensuring brand consistency across various accounts with multiple campaigns running at once.

Between the lines: It’s clear there’s an increasing demand among us marketers to “train” AI systems. This shift allows us to turn brand guidelines into reusable inputs, steering automation with more precision.

Bottom line: AI is accelerating the ad creation process, but what sets us apart is maintaining control, and Google is starting to return more of that control to us advertisers.

First spotted: This update first came to my attention through Paid Media expert Arpan Banerjee, who shared his find on LinkedIn.

Inspired by this post on Search Engine Land.

April 7, 2026
Discover How Google Ads Now Appear in Mobile Image Searches

I’ve recently discovered that Google has begun integrating sponsored ad units directly within the Images tab of mobile search results. This exciting new placement is accessible to eligible campaigns without requiring any changes to their existing keyword targeting.

What’s happening? Every time I check the Images tab on Google Search via mobile, I may now encounter sponsored units tucked within the image grid. Each ad displays a complete image creative as the primary visual element alongside text, and it is prominently labeled “Sponsored,” aligning with Google’s standard ad labeling throughout search results.

How it works. It amazes me how eligible campaigns can seamlessly serve into the Images tab without altering any keyword targeting or campaign structure. This placement leverages existing image assets, positioning advertisers who run Search or Performance Max campaigns with compelling visual creatives to gain the most. Thankfully, there’s no need to set up separate image-only campaigns.

Why it matters to us. This move significantly expands Google’s paid search real estate. For those of us engaged in product-led or catalog-heavy advertising, the Images tab is crucial, as it often serves as the starting point for purchase-intent discoveries — and now, our ads can appear right in that moment. If we are using robust image assets in our campaigns, we might be enjoying incremental impressions without any effort on our part.

The big picture. I’m noticing that this placement behaves more like a visual discovery surface rather than traditional paid search. While we should expect high impression volumes, the click-through rates might be lower, similar to display or Shopping ads instead of conventional text ads. Yet, the assist value in multi-touch conversion paths could be quite significant, especially for retail and direct-to-consumer brands. It’s an upper-funnel reach strategy, not a last-click channel.

What we should watch. Even though Google hasn’t officially announced it, nor is there a specific reporting breakdown for these Image tab placements yet, it’s crucial for us to monitor our impression share and segment data closely. This will help us understand its contribution, and whether it impacts organic image visibility for our competitors.

First seen. The innovative placement was first noticed by Google Ads Expert Matteo Braghetta, who shared this update on LinkedIn. At the time of writing, Google hasn’t published any official documentation regarding this development.

Inspired by this post on Search Engine Land.

April 7, 2026
Unlock E-commerce Success: Master Google Shopping & Amazon Ads

As I delve into the world of e-commerce, I’m constantly amazed by how paid search can transform business growth. Platforms like Google Shopping and Amazon Ads are game-changers, offering high conversion rates and efficient spending when campaigns are crafted thoughtfully.

These platforms are adept at capturing high-intent demand, providing the crucial data to expand my campaigns. They connect search queries directly to revenue streams, letting me pinpoint which terms are boosting sales so I can allocate my budget wisely.

However, the true test lies in organizing campaigns to effectively leverage this data.

Why does paid search excel in e-commerce? It’s all about intent and data. Google and Amazon thrive on search-driven environments. When someone seeks a product, they’re clearly expressing their needs. I don’t need to make inferences; I’m delivering precisely what customers want.

Moreover, Google Shopping and Amazon Ads offer unparalleled keyword-level revenue data. This insight helps me understand conversion rates and costs better. Amazon, in particular, shines with its granular product and category level revenue visibility.

Together, this data forms a powerful feedback loop. By analyzing which terms tie back to revenue, I can strategically shift my spending and enhance my return on ad spend (ROAS) over time. On Amazon, higher conversion rates even boost organic rankings, reducing future acquisition costs.

My success in search campaigns hinges on creating multi-funnel structures. While the concept remains consistent, execution varies based on campaign types, settings, and bidding strategies.

I implement campaign architectures that utilize wide-net, low-cost discovery initiatives to explore the search landscape. High-intent converters funnel into dedicated performance campaigns with strategic bidding. This approach not only strengthens ROAS but also enhances rankings and fosters scalable growth.

Dive deeper: Ecommerce PPC: 4 takeaways that shape how campaigns perform

Embarking on Google Shopping, the priority sculpting method, inspired by Martin Roettgerding, is invaluable. Utilizing a three-layer campaign structure, I route keywords into distinct campaigns based on their performance.

This strategy optimizes spending on discovery keywords and directs investment toward high-performing, high-intent terms. The Google Shopping priority settings are pivotal; high-priority campaigns initially serve at lower bids.

Layer 1 focuses on capturing branded search traffic through a Performance Max campaign, maintaining an assetless format to focus on shopping inventory and avoid bleeding into other channels.

Layer 2, the catch-all, casts a wide net, experimenting with search terms to gather conversion data, while Layer 3 dedicates budget to best-performing terms, aligning with high-ROAS strategies.

Amazon’s multi-tier campaign structure offers its own set of advantages, like higher conversion rates and the intricate connection between ad spend and organic rankings. Campaigns are organized at the SKU level, employing research, ranking, and performance tiers.

Each tier serves a unique purpose, managed by differing advertising cost of sales (ACOS) targets, tailored for profitability. The research tier explores broad keyword possibilities, performance tiers maximize returns on proven converters, and ranking tiers drive organic positions aggressively.

Both Google Shopping and Amazon Ads offer unique opportunities in the e-commerce landscape. Whether aiming for short-term gains on Amazon or long-term brand building via Google, using these platforms synergistically can propel a business to new heights.

Inspired by this post on Search Engine Land.

April 3, 2026
Avoid These Costly Google Ads Mistakes for Ecommerce Success
Expanding beyond paid social? Discover how I learned to structure campaigns, control spend, and unlock demand without depending solely on the Meta playbook.

My paid social campaigns were thriving. I understood my audience intimately, had a tight creative process, and watched results improve each year. Naturally, when leadership proposed expanding into Google Ads, I was thrilled—envisioning it as a new revenue channel.

But sticking to our existing strategy only led to difficult conversations. Google demands different tactics—intent signals and campaign structures vary, and common budget-draining mistakes aren’t always obvious. Many brands mirroring their Meta strategy end up with flashy dashboards but disappointing balance sheets.

From my experiences, six frequent mistakes can cause substantial damage before they’re even noticed. They’re what I’ve seen most often with ecommerce brands transitioning to Google Ads—and each error is reversible.

Mistake 1: Treating Google like a retention channel

Utilizing Google Ads for retention and brand defense is possible, but relying solely on it as a strategy is problematic. I often notice brands new to the platform diving straight into Performance Max. Initially, the ROAS shines bright, making everyone happy. However, when the right question surfaces—”Are we truly growing or just capturing purchases?”—issues arise.

For example, a client approached me with branded search and retargeting doing most of the work in PMax—a mere tax on demand already created elsewhere, leading to stagnant revenue. Although ad spend was soaring, growth wasn’t.

Acquiring new customers requires a different setup, like:
- Shopping campaigns to highlight products to new audiences.
- Search campaigns centered on non-branded, high-intent keywords.
- Layered PMax configurations to bypass defaulting to easy conversions.
When Google grants vast access to new audiences, focusing solely on closing disregards most of this opportunity.

Dig deeper: Ecommerce PPC: 4 takeaways that shape how campaigns perform

Mistake 2: Not knowing how to leverage Google’s core levers

Although paid social expertise is somewhat transferable to Google, I’ve observed four major gaps. Let me share them with you in more detail.

Search intent: Social media ads interrupt, but search ads meet users actively seeking your offerings, transforming campaign structure, ad copy, and keyword targeting entirely.

Data feed optimization: An optimized product feed enhances visibility and targeting in Shopping or Performance Max campaigns.

Keyword research: Understanding match types and search intent is critical for reach and cost efficiency.

Landing pages: Engaging landing pages outperform product pages for high-intent but unfamiliar visitors.

Dig deeper: 7 Google Ads search term filters to cut wasted spend

Mistake 3: Allowing operational issues to interrupt campaign momentum

Consistent data is key for Google’s algorithms. Every unintended campaign pause can reset learning, causing weeks of degraded performance and wasted spend.

Common disruptions include:
- Payments: Bill lapses, leading to campaign pauses, overshadow the actual cost when factoring in downtime recovery.
- Tracking and feed integrity: Broken pixels and feed errors silently degrade performance.
Setting up automated alerts and regular audits can prevent these costly errors.

Mistake 4: Overly granular campaign structures

Detail-oriented advertisers may over-segment campaigns, believing it provides control. However, widespread budget allocation hinders Google’s automation from optimizing effectively.

Instead, tight, well-funded campaigns optimize better and are more manageable.

Dig deeper: How to find and fix the root cause of low conversions

Mistake 5: Leaving campaigns on Max Conversion Value without ROAS targets

Max Conversion Value aims for conversion volume, neglecting cost efficiency. A realistic ROAS goal encourages the algorithm to maximize efficiency. Setting this correctly is crucial.

Dig deeper: How each Google Ads bid strategy influences campaign success

Mistake 6: Underfunding campaigns, keeping them in learning mode

Underfunding during the learning phase results in indefinite stalled progress. Adequately funding new campaigns from the outset fosters quicker, more accurate results.

Expanding beyond Meta to include Google is a strategic move, accessing actively expressed demand. These pitfalls aren’t deterrents but guideposts for smoother transitions and optimized strategies.

For early adopters, start with my guide on expanding from Meta to Google Ads. If seeking further optimization, learn how to sidestep Google’s automation traps.

Inspired by this post on Search Engine Land.
April 2, 2026
Unveiling Google’s PMax Timeline: Boost Your Ad Strategy

Recently, I discovered that Google has launched an exciting new feature for Performance Max campaigns. As an advertiser, I’m always on the lookout for tools that provide clearer insights, and this new channel performance timeline view does just that. It offers a comprehensive breakdown of how different channels like Search, YouTube, and Display contribute to my campaign results over time.

What’s New

The latest update introduces a timeline graph that showcases channel-level contributions over a selected period, complete with investment and performance filters. This means I can quickly identify which channels are excelling and which ones might need a bit more attention.

The chart features helpful visual cues—like a yellow box highlighting channel performance evolution over time, and a pink box indicating different ad types, such as All Ads, Ads Using Product Lists, and Ads Using Video.

Why I Care

Managing Performance Max campaigns across multiple channels often left me guessing about where my budget was working best. This new view provides valuable insights into channel-level trends, allowing me to adjust strategies or budgets more efficiently. If I notice YouTube underperforming while Search is thriving, I can now make informed decisions without relying purely on guesswork or exported data.

The Big Picture

This new view empowers me to evaluate PMAX performance more effectively, without relying solely on Google’s automated decisions. Now, I can see consistent underperformance or excellence across channels, which guides my budget and asset strategies moving forward.

The Bottom Line

Though it’s not full transparency, this update is a significant move in the right direction. I now have a more structured way to detect trend anomalies in PMax campaigns early and make necessary adjustments to optimize performance.

First Spotted

This feature was first noticed by Axel Falck, Head of Search at Le Mage du SEA, who shared his insights on LinkedIn.

Inspired by this post on Search Engine Land.

April 2, 2026
Unveiling Auto-Applied Google Ads Experiments: Speed Up Your Results

I recently discovered that Google Ads now includes an auto-apply setting for its experiments feature, which is activated by default. This means that once an experiment determines a winning variant, it can automatically implement that change without waiting for manual review. A real time-saver, but there’s more to consider.

Here’s how it works: as advertisers, we can select between two modes when evaluating results – directional outcomes or statistical significance with varying confidence levels of 80%, 85%, or 95%. However, it’s reassuring to know there’s a safety net; if any chosen success metric performs significantly worse during testing, the system won’t proceed with automatic changes.

Why it matters to me. Experiments are incredibly powerful within a Google Ads account, allowing us to test ideas without risking the existing campaign’s performance. While automating the application of results could streamline testing phases, this process eliminates a crucial checkpoint where we often catch unintended outcomes that might impact active campaigns.

The potential pitfall. One limitation is that experiments currently accommodate only two success metrics. This might mean that a third, important metric could suffer unnoticed if it’s not one of the chosen ones, as the system’s guardrails only protect what we’ve explicitly instructed Google to watch, not every significant factor.

The takeaway. While the auto-apply feature serves as a helpful shortcut for straightforward tests, when conducting significant experiments, it’s worth going the extra mile for manual review. It’s best to let the experiment play out fully, ensure accuracy and thoroughness, and examine all data before making a final call.

First observed by professionals. This update did not go unnoticed; it was first picked up by Google Ads specialist Bob Meijer, who shared his insights on LinkedIn.

Inspired by this post on Search Engine Land.

April 1, 2026
Master Google Ads in Sensitive Categories Minus Remarketing
Struggling with restricted targeting? Dive into my guide on how to drive conversions using intent signals, creative messaging, and offline data, especially when remarketing isn’t an option.

Have you ever experienced that “Eligible (Limited)” status in your Google Ads account? As a lawyer, college administrator, or financial services provider, I know how challenging it can be when your remarketing lists and exact match keywords aren’t working as expected.

Feeling like Google Ads is your adversary in sensitive interest categories can be frustrating, but there are valid reasons for these regulations. More importantly, strategies exist to overcome them.

In this article, I will explain the personalized advertising policies, their implications for your account, and share five tactics you can implement to achieve success with Google Ads.

Why does Google have personalized advertising policies?

Google’s policies are rooted in legal requirements and ethical standards, as detailed in their official documents. In the U.S., legislation like the Fair Housing Act and employment laws prohibit discrimination based on age, gender, or location. This means Google can’t allow you to exclude individuals based on such demographics.

Ethically, remarketing can become invasive, especially in high-stakes industries like healthcare. If you’re running a rehab center, trailing someone across the internet with ads about their struggles is intrusive. Google’s policies help maintain user privacy in such cases.

What can’t you do in a sensitive interest category?

Operating in housing, employment, credit, healthcare, or legal services means restricted audience targeting. Here’s what you’ll miss out on:
- Website or App Remarketing Lists: Targeting past visitors is off the table.
- Customer Match: Uploading and targeting email or phone lists is not permitted.
- YouTube Audiences: Targeting based on video interactions is restricted.
- Custom Segments: You can’t create audiences based on specific searches or website visits.
Moreover, in categories like housing, further demographic targeting like age or ZIP code may also be stripped away.

The good news: What can you do in a sensitive interest category?

Despite these restrictions, there’s still much you can utilize. Here’s what you have at your disposal:
- Keywords and Feeds: Intent-driven strategies are perfect for Search, Shopping, and Performance Max.
- Google Audiences: Use Affinities, In-Market, and Life Events segments as allowed.
- Optimized Targeting: AI-driven targeting is still viable for certain ad types.
- Content Targeting: Target ads based on keywords, topics, and placements.
- Conversion Tracking: Maintain conversion tracking and utilize Enhanced Conversions.
5 strategies to win in sensitive categories

Thinking outside the box can yield results, even without remarketing. Let me share five strategies that work:

1. The “Separate Domain” strategy

For businesses offering a mix of sensitive and non-sensitive services, avoid having your entire account restricted. By placing sensitive services on a separate domain, you maintain the flexibility of using full Google Ads capabilities for your main business.

2. Choose Demand Gen over Display

Opt for Demand Gen when using image or video ads. My experiences show it attracts higher-quality audiences in restricted niches.

3. Lean into Phrase and Broad Match

While Exact Match keywords might seem appealing, the algorithm often restricts narrow queries. Consider using Phrase or Broad Match, giving you the chance to target users querying the same concept differently.

4. Feed the AI with offline conversion tracking

For industries like law and finance, where online conversions are rare, provide Google with offline conversion data. This step trains the algorithm, ensuring smart bidding leverages real-world outcomes, even with privacy guidelines in mind.

5. Creative-Led Targeting

In cases where user lists are off-limits, let your creatives do the talking. Your visual and textual ads should be clear on who they’re meant for, improving conversion by weeding out unfit viewers.

Navigating Google Ads in sensitive areas isn’t easy, but it’s achievable. By focusing on what users seek and fine-tuning your messaging, you can deliver outstanding results.

This piece is part of my Search Engine Land series: Everything you need to know about Google Ads in under 3 minutes, where Jyll discusses critical Google Ads features to help you maximize your advertising results.

Inspired by this post on Search Engine Land.
April 1, 2026

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