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Articles by Benjamin Wenner
walkerOS: A data collection alternative to gtag.js Original
When working with Google Analytics 4 (GA4), advertisers typically implement gtag.js, which is Google’s recommended best practice. But it’s far from the only option for data collection. walkerOS is an open-source, privacy-centric event data collection platform from Elbwalker that can replace gtag.js and do much more. What started as a web tracking library called walker.js has grown into a full tag management system for both web and server.
Negative Signals, Positive Intent: PPC Leads Hiding In ‘Cancel’ Searches
One of the best-performing keywords I’ve managed in the past year isn’t a product term. It’s not a comparison query. It’s not even something most advertisers would recognize as a buying signal. It’s “cancel [competitor] contract.” The client was in SaaS. That keyword ran at a 15% click-through rate and a cost per acquisition roughly 18% lower than the account’s generic campaigns. That search has nothing to do with that client’s product name. No one typed it looking for a new vendor.
Why Performance Max isn’t a YouTube ad strategy for ecommerce
Many ecommerce brands are already advertising on YouTube. But for a lot of them, it isn’t a deliberate decision. Performance Max (PMax) pushes spend into YouTube placements by default. If you’re running PMax for an ecommerce account, some portion of your budget is buying YouTube ad impressions right now, using creative assets you uploaded for Shopping and Search. They’re served to audiences the algorithm picked and measured with attribution rules that make the spend look more productive than it is.
The only way to know what your ads really did
Get traffic data and keyword intel on competitors instantly. Every performance marketer knows this scenario. The marketing platform, whether it’s Google Ads, Microsoft Ads, Meta Ads, or TikTok Ads, shows 5x ROAS. You don’t believe it, so you pull the number from your backend, and it comes back 2x. Backend data must be true, right? You mark the campaign down as mediocre and move on. The marketing platform’s 5x is inflated. The problem is, your backend’s 2x isn’t the truth either.
Your paid media ROAS isn’t 5x. Or 2x.
Every performance marketer knows this scenario. The marketing platform, whether it’s Google Ads, Microsoft Ads, Meta Ads, or TikTok Ads, shows 5x ROAS. You don’t believe it, so you pull the number from your backend, and it comes back 2x. Backend data must be true, right? You mark the campaign down as mediocre and move on. The marketing platform’s 5x is inflated. The problem is, your backend’s 2x isn’t the truth either. Marketing platforms count generously by design.
The Conversion Setup Errors That Break Smart Bidding
Most Smart Bidding problems get blamed on the wrong thing. People switch strategies, lower targets, and argue about primary versus secondary conversions, when the real problem might be more upstream: the conversions feeding the algorithm are not real. Not which conversions you optimize for, but whether the ones you count actually matched a real user. When the pipeline breaks, the conversion still shows in your reports and the campaign still looks fine.
Why search ROAS depends on paid social more than you think
Every performance marketer has seen this movie. Search ROAS looks great, social ROAS looks mediocre, so the budget shifts to search. Three months later, search performance quietly erodes, and nobody can explain why. Nothing in the account changed. You turned off the thing feeding your search campaigns in the first place. Paid search looks better when paid social is running.
Build A Live Data Stack With MCP For Smarter Campaign Performance
Everyone is using AI now. And almost everyone is using it the same way. You log into Google Ads, export a report, paste the CSV into ChatGPT or Claude, get an analysis, then repeat the whole process for Meta, Google Analytics 4, and whatever else is on your plate that week. Same painful process, every platform, every week. That is not AI-powered marketing. It is AI-assisted copy-pasting. The AI in that workflow is working on a static snapshot. Not live. Not connected to your actual account.
Stop looking for the perfect PPC budget split
Most PPC budget discussions focus on finding the right split between brand awareness and conversion-focused campaigns. That’s usually the wrong goal. The optimal balance changes constantly based on business stage, market saturation, seasonality, competitive pressure, and revenue objectives. Yet many teams still treat the funnel split as a fixed decision: 40% upper funnel, 60% lower funnel, set it and forget it. That might be the right ratio today and completely wrong in six months.
Why PPC AI agents fail without business data
Every few weeks, someone publishes a piece about AI agents taking over Google Ads, SEO, or social media. Inevitably, the agents look impressive — in theory, at least. But then you dig deeper to determine what data the agent is working with. Almost always, the answer is the same. These agents typically work with data that’s native to the platform. For Google Ads, that means impressions, clicks, conversions, and return on ad spend (ROAS).
PPC salaries are splitting: Which side are you on?
Every year, Duane Brown’s PPC Salary Survey gives our industry one of the few honest looks at what practitioners are actually earning. The 2026 edition, with 445 responses across 50+ countries, is no different. This year, one pattern stands out above the rest: the middle of the salary curve is getting squeezed from both ends. PPC salaries aren’t falling, at least not uniformly.
From T-Shaped To M-Shaped: The PPC Career Evolution Nobody Is Talking About
Ask any PPC professional what career shape they are working toward, and most will say T-shaped. One deep specialism, broad supporting knowledge across adjacent areas. It became the dominant career framework in marketing over the last decade, and for good reason. In a world where platforms were simpler and clients valued versatility, the T-shaped practitioner was exactly what the market wanted. That model is no longer enough.
AI is squeezing marketing agencies from both sides
The numbers tell a story that most agency owners already know in their gut: AI anxiety is rising fast. In 2024, 44% of digital marketing agencies viewed AI as a significant threat to their business model. Just one year later, that number jumped to 53%, according to SparkToro’s annual State of Digital Agencies survey of hundreds of agency owners worldwide. But here’s what makes this particularly painful: agencies aren’t just watching AI disrupt their industry from the sidelines.
Own your branded search: Building a competitive PPC defense
If you’re not actively managing your branded search campaigns, you’re leaving money on the table and your reputation in the hands of competitors, review aggregators, and affiliate marketers. Brand protection through PPC isn’t just about bidding on your own name. It’s a strategy that spans defensive bidding, query monitoring, ad copy testing, and reputation management across the entire customer research journey. Most PPC managers treat brand campaigns as an afterthought.
How to diagnose and fix the biggest blocker to PPC growth
We’ve all been there. A client wants to scale their Google Ads account from €10,000 per month to €100,000. So, you do what any good PPC manager would do: Refine your bidding strategy. Test new ad copy variations. Expand your keyword portfolio. Optimize landing pages. Improve Quality Scores. Launch Performance Max campaigns. Three months later, you’ve increased ad spend by 15%. The client is… fine with it. But you know you should be doing better.
The PPC Skills That Won’t Be Replaced By Automation
The best PPC specialists aren’t just campaign managers. They’re business consultants who happen to use paid advertising as their primary tool. As automation handles more tactical optimization, the value of a PPC professional increasingly lies in their ability to solve business problems, not just reduce cost-per-click. Specialists who command premium rates and drive real growth possess skills that extend far beyond the ad platforms themselves.
Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained
Marketing mix modeling (MMM) has shifted from an enterprise luxury to an essential measurement tool. Tech giants like Google, Meta, and Uber have released powerful open-source MMM frameworks that anyone can use for free. The challenge is understanding which tool actually solves your problem and which require a PhD in statistics to implement.
When Googles AI bidding breaks and how to take control
Googles pitch for AI-powered bidding is seductive. Feed the algorithm your conversion data, set a target, and let it optimize your campaigns while you focus on strategy. Machine learning will handle the rest. What Google doesnt emphasize is that its algorithms optimize for Googles goals, not necessarily yours.
When To Say No To PMax: Strategic Use Cases For Standard Shopping Campaigns
Google is “strongly recommending” Performance Max to advertisers. With its promise of automated optimization across all Google inventory and AI-driven functions, it’s easy to see why Google pushes it so heavily. But here’s the reality: Performance Max isn’t always the best choice, and blindly migrating from Standard Shopping campaigns can actually hurt your performance.
Where does your magnesium come from?
Magnesium (Mg) is one of many essential minerals in dairy diets, and while most rations exceed magnesium requirements on paper, variability in magnesium source quality can make the difference in your transition cow program. Unfortunately, solubility of our supplemental magnesium sources is a significant challenge in the feed industry today.
Agentic PPC: What performance marketing could look like in 2030
Marketers face AI news every day, and it’s almost impossible to keep up. AI agents are on the rise, but many are still in early development, beta testing, or lack real market adoption. So let’s skip ahead five years and look at what the future could hold. Picture this: You wake up in 2030 and check your phone. While you were sleeping, your AI agent optimized 50 campaigns, negotiated media buys with other agents, and earned $3,000 helping solve problems around the world.
GA4 Five Years Later: The Current State Of Marketing Analytics
As a marketing specialist who has gone through the transition from Universal Analytics to Google Analytics 4 on countless projects, I can confidently say that no platform migration has divided the marketing community quite like GA4. Five years after the initial launch of GA4 in October 2020, and more than a year since the complete Universal Analytics shutdown, it’s time for an honest review of where we stand with Google’s flagship analytics platform.
AI Max in action: What early case studies and a new analysis script reveal
Google’s AI Max for Search campaigns is changing how we run search ads. Launched in private beta as Search Max, the feature began rolling out globally in late May, with full availability expected by early Q3 2025. But will AI Max actually drive incremental growth or simply take credit for conversions your existing setup would have captured anyway? This article: Breaks down the key metrics to track in AI Max. Shares early results from travel, fashion, and B2B accounts.
How to analyze your marketing funnel and fix costly drop-offs
Your sales funnel is bleeding money. Every day, potential customers enter your funnel, and somewhere along the way, they disappear. The question isn’t whether you’re losing potential customers, it’s how many and where. Sales funnel analysis helps you find these leaks and fix them. When done right, it can boost your conversion rates without spending any extra budget on ads. Before you can analyze anything, you need to understand what you’re actually measuring.
Use The SCALE Framework
Budget increase, performance drops, budget decrease. Almost every marketer knows that short-sighted game, where decisions are made on a daily basis and campaign performance fluctuates to extremes, without a clear goal. I’ve seen this pattern destroy more campaigns than I can count. The problem isn’t bad ads or wrong keywords – it’s “actionism.” That’s when you’re constantly changing things without a plan, reacting to yesterday’s numbers instead of building for tomorrow.
AI agents in PPC: What to know and build today
AI in paid search isn’t a future prediction; it’s already reshaping how campaigns are managed. AI agent tools are now capable of transforming your PPC workflows. The question isn’t if AI will change PPC management. It’s which tools you should start using now, and what you can build today to make tomorrow’s work faster, smarter, and easier. Before diving into specific tools, it’s crucial to understand where AI agents fit in the spectrum of PPC management solutions.
The Hagakure method for Google Ads management
Google Ads has changed significantly, adjusting to the latest technologies and users’ evolving online behavior. Previously, advertisers had to manage campaigns closely. Now, there’s a bigger focus on using data and automation. This has led to the introduction of the Hagakure method. This approach: Simplifies Google Ads management. Encourages using broad match options. Takes advantage of Google’s automation tools.
Google Ads AI Vs. Third-Party AI Tools: Comparison For Google Ads Creatives
Every day, marketing teams face a crucial decision: Should they rely on Google’s built-in AI tools or invest in custom solutions for specific ad campaign tasks? I’ve watched this debate play out countless times with clients. Google continues adding more AI features for tasks like ad copy generation, headline creation, image generation, and product feed optimization. Meanwhile, specialized tools and custom solutions are thriving, and no real breakthrough for Google AI can be seen. Gherheș et al.
6 free Chrome extensions for PPC
PPC marketing isn’t easy. Juggling campaigns across Google, Microsoft Bing, and social platforms while maximizing every click is a challenge – and those clicks aren’t cheap. That’s why Chrome extensions are PPC game-changers. They sit in your browser, ready to help without the hassle of switching tools. Imagine this: you’re analyzing competitors, tweaking ad copy, and tracking keywords – all without juggling tabs or draining your focus. The best part? Most top extensions are free.
MTA vs. MMM: Which marketing attribution model is right for you?
Measuring marketing effectiveness is essential for any business investing in multiple channels. Two popular approaches – and marketing mix modeling – help marketers understand which strategies drive results. This article tackles the key differences between each attribution method to help you determine which one best fits your business needs. With Google’s recent update to its open-source marketing mix model, Meridian, interest in marketing mix analysis and channel modeling has surged.
Beyond Tools: A Google Ads Guide To Detecting And Preventing Click Fraud In Lead Generation
Click fraud in lead generation can drain your marketing budget and corrupt your data, leading to misguided strategic decisions. While automated detection tools serve as a first line of defense, relying solely on them is not enough. This guide presents practical, hands-on approaches to identify and combat click fraud in your lead generation campaigns in Google Ads. Click fraud isn’t just about basic bots anymore.
TikTok advertising: A comprehensive guide
Ever since its launch, TikTok has been a dominant marketing force. Beyond its impressive reach of over 1 billion active users across 154 countries, it has proven itself as an unparalleled platform for engagement and conversion. What makes TikTok particularly compelling for advertisers isn’t just its scale. It’s the platform’s unique ability to drive meaningful business results.
Microsoft Advertising: A comprehensive guide
Microsoft Advertising remains the underappreciated gem in the digital advertising landscape. While Google Ads dominates search globally, Microsoft’s ad platform has quietly built a significant presence. In desktop search, it commands over 30% of the U.S. market. This reach shouldn’t be surprising, as Microsoft Ads extends beyond Bing to a network that includes Yahoo, AOL and numerous partner sites.
How to develop PPC testing strategies
Best practices in PPC advertising are helpful. But every account is unique and requires its own strategies for success. The key to optimizing your campaigns lies in systematic testing. This article will guide you through the essential PPC testing strategies to enhance performance and achieve better results. PPC testing, at its core, is the process of systematically experimenting with various elements of your PPC campaigns to enhance performance and achieve optimal results.
When and how to fire PPC clients
As PPC professionals, we strive to deliver results, optimize campaigns, foster strong client relationships and grow along with our clients. However, not all client partnerships are destined for success. Sometimes, the difficult decision to part ways becomes necessary. A thriving PPC agency or freelance business relies on a client portfolio that aligns with your expertise, values and business goals.
Seasonal PPC: Your guide to boosting holiday ad performance
Black Friday, Christmas, Valentine’s Day – these aren’t just dates on a calendar; they’re golden opportunities for savvy marketers. A well-planned pay-per-click (PPC) strategy can mean the difference between riding the wave of seasonal demand and getting lost in the holiday noise. Seasonal PPC isn’t about simply increasing your ad spend when the leaves start to fall.
How to recover from Google Ads performance drops
When managed effectively, Google Ads campaigns can significantly boost your online presence and drive business results. However, even well-planned campaigns can experience unexpected performance drops. This guide will help you understand why these drops occur, how to identify and address them quickly and implement strategies to prevent future issues. Continuous monitoring of your PPC campaigns is not just a best practice, it’s a necessity.
A guide to Google Ads for regulated and sensitive categories
PPC advertising can be challenging, especially when your product or service falls into a sensitive or difficult category. Whether you’re promoting pharmaceuticals, financial services, adult content or other regulated industries, advertising – especially on Google Ads – requires a balance of creativity, compliance and ethical consideration. Google Ads remains one of the most powerful platforms for reaching potential customers. However, with great power comes great responsibility.
How to use the new customer acquisition goal in Google Ads
Acquiring new customers is crucial for any business, but it’s challenging in today’s crowded digital landscape. Google Ads’ new customer acquisition (NCA) feature can help. This tool is designed to reach and convert prospects who have never engaged with your business. However, using NCA effectively requires a strategic approach. Simply enabling it won’t automatically deliver new customers.
3 ways to target your PPC competitors’ audience
Looking to improve your PPC lead generation efforts? Consider laser-focusing on the customers ready to buy from you right now – your competitor’s unhappiest clients. This article reveals actionable strategies to identify and target three key groups through search campaigns: Customers actively looking to switch providers. Customers trying to cancel services. Customers seeking help or support.
Exploring Meridian, Google’s new open-source marketing mix model
Meridian, Google’s new open-source Marketing Mix Model (MMM), has entered the rapidly evolving market for advanced marketing analytics and forecasting tools. This article explores Meridian’s key features, capabilities and limitations, comparing it with Meta’s MMM called Robyn.
How product scoring can boost your Shopping campaigns Original
PPC advertisers running Google Shopping ads typically choose a brand, margin, or category-based structure for their campaigns. These approaches are effective for broader advertising across a large inventory. Managing tens or hundreds of thousands of SKUs poses a challenge for advertisers, making it hard to focus on individual products.
Google Merchant Center: Using product data to boost your retail efforts Original
Google Merchant Center is a valuable yet overlooked resource for ecommerce advertisers. It offers free analytics on product performance, pricing, demand and more. This article shows how to extract these insights to make smarter inventory, pricing and assortment decisions. We’ll cover how to pull Merchant Center data into BigQuery for powerful analysis and use the Shopping Content API to automate feed updates.
How to optimize your product feeds with ChatGPT and FeedGen Original
Feed management in PPC, especially within platforms like Google Ads and Microsoft Ads, is crucial for organizing and updating product or service data. It serves as the foundation of Shopping Ads, ensuring that viewers are presented with relevant results and accurate information. With AI tools like ChatGPT and Google’s FeedGen, you can enhance your product or service data to deliver more relevant and accurate information to your audience.
The Hagakure method for Google Ads management Original
Google Ads has changed significantly, adjusting to the latest technologies and users’ evolving online behavior. Previously, advertisers had to manage campaigns closely. Now, there’s a bigger focus on using data and automation. This has led to the introduction of the Hagakure method, a new approach that simplifies Google Ads management, encourages using broad match options and takes advantage of Google’s automation tools.
PPC forecasting with Google Sheets and Vertex AI
As the PPC landscape continues to evolve, having the ability to predict future campaign performance is invaluable. This article will cover some of my favorite PPC forecasting techniques using Google Sheets and Vertex AI that paint a clearer picture of the future and empower clients with actionable insights. While no tool or technique can provide a 100% accurate picture of the future, the methods outlined here can show us a glimpse into the potential trajectories of PPC campaigns.
Margin-based tracking: 3 advanced strategies for Google Shopping profitability Original
Are your Google Shopping campaigns profitable? Tracking your PPC performance will help you make better business decisions. You can unlock data beyond basic revenue metrics by implementing margin-based structures and advanced tracking methods. This article discusses three strategies to approach profitability-based tracking and campaign structuring methods. 1. Profitability-based account structures The easiest and fastest way to start is with margin- or inventory-based structures.
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