Most people running Meta ads are still optimizing for a system that no longer exists. They’re splitting budgets across six ad sets, testing one variable at a time, and capping frequency because they’re scared of “ad fatigue.” Meanwhile, Meta’s infrastructure quietly rebuilt itself from the ground up. If you don’t understand what changed, you’re fighting the algorithm instead of working with it. The engine at the center of this shift is called Andromeda. It’s Meta’s internal ad matching and ranking architecture, and understanding even the basics of how it works will change how you structure campaigns, how you think about creative, and how you interpret performance data. The Meta Andromeda algorithm explained simply: it’s the system that decides which of your ads even gets a chance to compete before a human ever sees it. What Andromeda Actually Is Meta published the full technical breakdown of Andromeda in a December 2024 post on the Engineering at Meta blog. The headline numbers got passed around: 100x faster ad matching 10,000x increase in model capacity for the matching stage, +6% recall improvement, +8% ads quality improvement on selected segments. Most people read those numbers and moved on. But the implications are well worth digging in deeper. Before Andromeda, Meta’s system had real constraints on how many ads it could evaluate against any given impression opportunity. The matching step, where the system pulls candidate ads from the full inventory to rank against a user, was the bottleneck. You could have a phenomenal ad that never found its audience simply because the system didn’t have the computational budget to evaluate it. Andromeda changed that ceiling. It uses a two-stage architecture: a fast approximate matching layer that casts a wide net across candidates, then a more expensive deep-ranking model that scores the final shortlist. The system runs on NVIDIA Grace Hopper Superchips and Meta’s own MTIA silicon, co-designed hardware and software that enables far more complex neural networks to evaluate ads in near real time. The result is that the system can now meaningfully evaluate far more ads per auction, which directly affects how your creative gets distributed. The Number That Actually Matters: 10,000x More Variants When people say “10,000x more variants,” it sounds like an abstraction, so let’s make it easy to understand Say you’re running a campaign for a DTC skincare brand. You have 8 active ad creatives. Under the old system, many of those ads were effectively competing for evaluation slots before they even reached the ranking stage. Your best ad got found. Your fourth-best ad might have rarely been pulled into consideration at all. Under Andromeda, all 8 are genuinely in play, matched to the right user at the right moment. The system can explore the full creative space you’ve given it. That changes the logic of how many ads you need, how different they should be from each other, and how you interpret which ones are “winning.” We ran a test on this dynamic for a supplement brand spending around €850/day. We went from 4 creatives per ad set to 12, but made sure each one had a distinctly different hook, angle, and format. CTR on the campaign improved, but more importantly, our cost per purchase dropped from €38 down to €26 over a 21-day window. The reach into cold audiences improved significantly. We had more genuinely different creatives driving traffc. Not just 12 versions of the same UGC testimonial with a different color grade. Why Creative Diversity Beats Creative Volume This is the part nobody talks about enough. Most media buyers hear “more variants” and go produce 20 slightly different versions of the same ad. Same hook, same offer, same format. Just different faces or different opening lines. But that is not creative diversification. Meta has been explicit about this. In their official Creative Advantage post on Meta for Business, they describe the shift directly: the focus has moved from niche targeting to creative diversification as the primary lever for finding relevant audiences. And their follow-up three-step creative diversification guide makes it even clearer. They’re not asking for volume. They’re asking for conceptually distinct creative signals. Andromeda’s matching system is trying to match ads to users based on predicted relevance and engagement. If all your variants are the same conceptual ad with minor surface changes, you’re not actually expanding the candidate pool in a meaningful way. You’re just giving the system more of the same signal. What actually works is what I’d call conceptual diversity: ads that represent genuinely different creative theses. One ad that leads with social proof, another that leads with a transformation story, another that’s educational, another that’s founder-led. Different formats: static image, short-form video, carousel. Different lengths: 7-second hook-and-close versus 60-second narrative. When your creative pool has real variety, Andromeda can do what it was built to do: find which thesis resonates with which user segment, without you having to segment manually. What “Conceptual Diversity” Looks Like in Practice When building a creative strategy now, the three dimensions I think make sense to focus are: angle (the core emotional or rational appeal), format (static, video, carousel, collection), and length (short grab vs. longer story). You want good coverage across all three, not just variations within one. A campaign with one 15-second video and six slightly different thumbnails is not a diverse creative pool. A campaign with a 15-second video, a 45-second narrative, a static proof-based image, and a carousel showing before/after, us what the algorithm can actually work with. Jon Loomer, who has one of the more grounded practitioner-level takes on this, breaks down creative diversification across seven specific examples if you want to go deeper on the tactical side. Worth the read. Meta also published a companion piece, Demystifying Creative Diversification, that’s worth bookmarking as a reference for what they actually mean when they use that phrase. Meta Andromeda Algorithm Explained: What It Means for Campaign Structure When you fragment your budget across many ad sets, you’re starving the algorithm’s learning phase in each one. Fewer conversions per ad set result in slower signal accumulation, which means worse audience matching, which means you never see what the creative could actually do with proper data behind it. Advantage+ Campaign Budget, what used to be called Campaign Budget Optimization (aka. CBO), exists to solve this. Let the budget flow to where conversions are cheapest at the campaign level, and stop manually allocating between ad sets. Meta’s own page on this feature cites an average 4.6% decrease in CPA when it’s enabled, which seems to be conservative. The gains are usually bigger when you’re coming from a heavily fragmented structure. But there’s an additional effect that Andromeda emhhasizes. A nore consolidated structure means that the matching system has a bigger, unified creative pool to evaluate per auction. You shouldn’t split your creatives across multiple ad sets and limit learnings. You should have one campaign, broad targeting, multiple strong creatives. That’s the structure that lets Andromeda work at full capacity. It’s worth noting that this doesn’t mean you should never segment. Brand versus prospecting, for example, often need separate campaigns for better budget control. Just make sure not to create separate ad sets for every audience, placement, or demographic, that is what is working against you now. Why Your “Best Practices” Are Outdated There’s a common idea in the Meta ads community that you need to “control variables” the way you would in a lab experiment, one change at a time, isolated testing, clean attribution. But this approach assumes that the algorithm is a passive pipe that delivers your ad to whoever you tell it to. This doesn’t work anymore. Andromeda is actively matching. It’s finding the sub-audiences where each creative will perform best, and that process takes time and data. When you isolate variables too aggressively, pausing ads after 48 hours, testing hooks in isolation from the offer and CTA, killing anything that doesn’t hit your CPA target in three days, you’re interrupting a matching process that hasn’t had time to complete. You’re drawing conclusions before the experiment has actually run. Most Meta ad buyerss’ obsession with fast, clean testing loops made more sense when the algorithm was less sophisticated. Now it can cost you your whole campaign. For a more measured counterpoint, because not everyone agrees Andromeda changes as much as the hype suggests, the team at Motion put together a solid roundup of practitioner perspectives, including […]

When performance goes down, most marketers usually blame it on the creative. The truth is that the creative is rarely the problem, but the angle. Here’s what usually happens: You launch an campaign You find an angle that works Scale the working angle Angle burns out (performance drops) You start working on new creatives. The problem with this approach is that you’re promoting your campaign with a single angle (narrative).  And a single angle cannot carry long-term scale. If you want to add stability and scale up you need to run with multiple angles. Let’s break down ho to generate 10 strong angles for the same offer.   What is an Angle? An angle is the narrative or perspective you use to present your offer/product. It is not: A headline tweak A different image A rewritten CTA Think of the reason why someone cares to interact with your ads and convert on your offers. There are different motivators you can use to promote the same offer. That’s what actually helps you scale.   Why Most Marketers Stop at Just One Angle Most of them think the offer defines the message, but in reality it doesn.t The offer defines the outcome, while the angle defines the story. If you only see one way of positioning or promoting an offer, you’re not thinking deeply enough. Strong offers/products can support multiple narratives, you just have find them.   The 10 Angle Framework Here’s a simple framework that works. Take the offer or product you want to promote and run this through these categories. Problem Agitation Angle Focus on the pain point. Example: “What Most Homeowners Don’t Realize About Their Current Insurance Coverage” This angle highlights the existing problem. Fear Angle Highlight risks or loss. Example: “This Simple Insurance Oversight Could Cost You Thousands” Fear drives action when used responsibly. Savings Angle Focus on cost reduction Example: “Homeowners Are Saving an Average of $X With This Insurance Adjustment” Savings angles perform well in uncertain economic times or price oriented markets. Opportunity Angle Frame it as something beneficial. Example: “Why Now Might Be the Best Time to Upgrade Your Home Insurance Coverage” Opportunity appeals to ambition and curiosity. Curiosity Angle Create intrigue without overselling. Example: “Why Experts Are Quietly Talking About The Latest Insurance Changes” Curiosity works well in discovery campaigns. Data-Driven Angle Lead with statistics Example: “7 Out of 10 People Miss This When Signing For a New Insurance Policy” Numbers build credibility. Authority Angle Leverage the expertise. Example: “Insurance Experts Recommend Reviewing This Before Year-End” Authority builds trust. Story-based Angle Tell a relatable narrative (test multiple) Example: “How This Family of Four Reduced their Home Insurance Cost by 38%” Stories humanize the offer. Make it relate to them. Localized Angle Make it geographically relevant. Example: “[City] Homeowners May Qualify for a New Insurance Benefit This Month” When used right, localization increases relevance. Timing or Urgency Angle Tie it to a season or deadlines. Example: “Experts Warn New Insurance Rule Could Raise Prices by April 2026”   As you can see, for a single product like “home insurance,” we were able to generate 10 different angles you can build creatives around. Hook Supporting Copy Landing Page Visual direction. If the angle changes, everything else changes. That’s how you should test it. Why Angles Protect Campaigns from Fatigue Most campaigns die because they are heavily relying on a single angle. If the angle dies, the campaign dies with it too. But, if you pushing have 8-10 angles then you can: You can rotate different narratives You can test adjacent motivations You can expand without ruining what’s already working. Angle diversity supports longevity. How to Systemize Angle Creation Instead of brainstorming randomly, follow this process. Define the core outcome of the offer. List all emotional drivers connected to that outcome. Match each emotional driver to a narrative category. Build one creative per angle. Test angles before optimizing creative variations. Refrain yourself from launching 12 versions of one angle. Instead launch 5 distinct angles first, then refine winners. Advanced Angle Combination Once you have tested and validated individual angles, you can easily combine them for a stronger impact. Example: Data + Fear “New Report Warns Many Homeowners May Be Underprepared for Major Damage” “Data Suggests Millions of Homeowners Could Be Underinsured” “Insurance Study Highlights Risks of Outdated Home Coverage” Authority + Urgency “Experts Urge Homeowners to Review Their Insurance Now” “Regulators Advise Homeowners to Review Insurance Before the Next Storm” “Experts Urge Homeowners to Review Insurance by the End of This Month” Story + Savings “How One Homeowner Discovered They Were Paying Too Much for Insurance” “Why One Family Decided to Revisit Their Home Insurance Policy” “How a Simple Insurance Check Helped One Homeowner Cut Costs”   Proper combination creates better resonating angles, but only after you know which one works individually.   Why Angles Matter in Scaling Scaling isn’t just about spending more. Scaling is about expanding to a broader audience. To do that you need to expand on different narratives. When you have multiple validated angles: You don’t rely on a single creative angle You expand to new audience segments You increase volume without risk. That is how seasoned performance marketers scale consistently across different offers.   Final thoughts If you feel stuck with your creatives, you don’t need a better design, color change or a variation of your headline. You need a different and better narrative. Every strong offer or product supports multiple narratives. Your job is to uncover them and build angles that convert around them.

Let’s talk about something that quietly destroys more campaigns than bad creatives ever will. Impatience! Most media buyers launch a campaign and start staring at statistics. Day 1: CPA is 40%-50% above the target or there are no conversions at all Day 2: It slightly improves but still not enough conversions Day 3: CPA fluctuates again not getting better. Day 4: nothing… They have already paused the campaign by midday on day 3, or sometimes halfway through day 2 (or even 1). The typical panic reaction! Then tree weeks later they see someone else scaling the same offer on the same traffic source, and potentially with their original (unique) creatives. Sounds familiar, right? Let’s break down why this happens and, more importantly, how to avoid shooting yourself in the foot.   Expecting Stability Too Early Performance marketers and affiliates love controlling their stuff. They want: Conversions within the first few hours of launching the campaign. Accurate and clean performance data. Predictable results, regardless of how hard they shake the algorithm. All while forgetting that most campaigns are quite messy in their early stage. The algorithm has to learn how the funnel and offer performs. It tests which creatives perform best. Also test what audience pools convert better. A normal process that generally lasts between 48-72 hours, but sometimes can extend up to 120 to 150 hours. Assumption is the mother of all screw-ups! As such stop judging your campaigns too early.   Why Early CPA Fluctuations Are Normal Here’s what happens when you launch a new campaign: The platform starts exploring difference audience pools. It tests delivery timing. It optimizes towards early signals while still testing new variables. This stage is commonly referred to as the exploration phase, and strong fluctuations are normal. You might hit your CPA within a few hours from launching a campaign, just like you might not even get any conversions at all on day one. Everything is unstable at this stage, so don’t panic and let it run. The Difference Between Bad Performance and Insufficient Data This one is critical, so let’s make sure both concepts are crystal clear. Bad performance looks like: Extremely low CTR. Terribly low Conversion Rates. No engagement signals. Spending multiples of the CPA without any improvement. On the other hand, insufficient data looks like: CPA is slightly above the target. Inconsistent early conversion rate. Mixed engagement signals. One needs to be cut quickly, while the other needs patience.   How Much Data is “Enough”? This is one of the most common questions, but there is no universal answer. A good rule of thumb you can use is this: Spend at least 2-3x if your target CPA per Angle before making a decision. For example: If your target CPA is $50, don’t kill an angle after spending $60 or $70. Give it at least $100 or better $150 before doing that. Your main goal is to see patterns from the data you’re collecting, not just conversions. Why Emotional Optimization is Dangerous Let’s be honest. When CPAs are too high, it feels personal. You start questioning: “Did I pick the wrong angle?” “Am I buying bad/fraudulent traffic?” “Is this offer saturated?” A typical emotional reaction. But performance marketing is about data, not feelings. The best media buyers follow strict rules and make optimization decisions based on patterns, KPIs, and thresholds. You need to remove emotions and gut feelings from your optimization process. That alone can improve your campaigns’ performance dramatically. The Right Way to Kill Campaigns If it is wasting money, you should definitely kill it! Here’s a simple framework. Kill immediately if: CTR is below baseline expectations Conversions are inexistent or random Metrics show no signs of recovery. Keep it running if: CTR is healthy Engagement rates (LP CTR) are decent. CPA is slightly above your break-even threshold. Once you collect enough data from campaigns with promising performance, you can easily turn it into a winner.   Why Killing too Early Hurts Long-Term Scaling Here’s what happens when you kill campaigns too fast: You never validate angles properly You don’t build a reliable data history (much needed for future tests) You stay stuck in perpetual testing mode. Instead of giving campaigns time to generate data for confident decisions, you end up constantly chasing new offers.   Change your Testing Mindset Instead of asking: “Is this profitable yet?” Ask: “Is this showing promising KPIs?” That means that: People are clicking They are engaging with your funnel There is intent. Profitability comes once you validation. Make sure you test properly, then scale and generate profits. Final Thoughts Most campaigns don’t need more optimization, or a wildly different optimization approach. They need enough time, so let your campaign mature. Sometimes the difference between a losing and winning campaign is discipline.

Let me ask you a quick question. When performance drops, what do you change first? The headline? The image? The CTA button color? Most media buyers tweak secondary, low-impact elements instead of high-impact ones. Here’s the thing: If your angle is weak, no creative tweak will save your campaign. But if your angle is strong, even average creative will convert. Understanding this difference can completely change how you scale campaigns. What is an “Angle”? An angle isn’t a headline. It’s not a hook or the creative format. An angle is the core narrative behind your message. It’s the perspective you use to present the product/service/offer. For example, let’s say you’re promoting a home services lead gen offer. Here are three different angles: Cost-saving angle: “Homeowners Are Overpaying by 37% for This Service” Fear angle: “New Local Regulations Could Cost Homeowners Thousands” Opportunity angle: “Homeowners Are Qualifying for New Incentives This Month” Same offer with completely different entry points. That’s angle testing. And it’s far more powerful than swapping images or button colors. Why Most Media Buyers Test the Wrong Thing Here’s what happens: You launch an ad. It performs okay. Then performance dips. As a result you: Change the headline slightly. Swap the hero image. Rewrite one or a few sentences. But none of these will have any significant impact on your performance. If the core narrative hasn’t changed, you’re not testing anything meaningful. The big performance shifts come as a result of angle changes. Why Angles Drive Scale There are three main reasons why angles matter more than creative tweaks. 1. Angles Expand Audience Reach Different people respond to different motivations. Some respond to fear. Some to savings. Some to urgency. Some to curiosity. When you develop multiple angles, you’re effectively speaking to different psychological segments, even within the same targeting pool. That’s how you unlock new volume without changing targeting. 2. Angles Reduce Creative Fatigue Creative fatigue usually isn’t about visuals, it’s about repetition of the same message. If your narrative doesn’t change, audiences burn out quickly. But when you introduce new angles, performance resets because the story feels fresh. Practically, it’s not a new ad, it’s a new perspective. 3. Angles Create Stability Relying on one angle is very risky. If that angle burns out, your entire campaign is done. But if you have 4–5 validated angles running simultaneously performance becomes more stable. And stability is what allows you to scale confidently. How to Develop 10 Angles From a Single Offer Here is where most media buyers and marketers struggle. They think the offer limits them, but what actually sets the limits is their creativity. Here’s a simple framework you can use. Take any offer and start writing angles across these categories: Problem-Based Focus on highlighting the pain point very clearly. “What Most Homeowners Don’t Know About Their Current Coverage” Fear-Based Focus on risk or loss. “This Mistake Could Cost You Thousands” Opportunity-Based Frame it as a gain. “You May Qualify for This New Benefit” Curiosity-Driven Spark intrigue without overpromising. “Why Experts Are Talking About This Local Change” Data/Statistic-Based Lead with numbers. “7 Out of 10 Homeowners Are Missing This” Story-Based Use a relatable narrative. “How One Family Reduced Their Costs in 30 Days” Localized Tie it to geography. “New Program Now Available in [City]” Now combine these with urgency, seasonal timing, or trending topics. You’ll quickly see you’re not limited to one idea, but you’re limited by how deeply you think about the offer.   Angle Testing the Right Way Avoid launching 12 micro-variations of the same angle. Instead:  Identify 3–5 fundamentally different angles.  Launch one clean creative per angle. Let data show you which narrative performs best. Only then refine and expand the winning one. This gives you data clean which will help you scale with confidence. The Biggest Mistake to Avoid Here’s a trap (as weird as it may sound): Finding one winning angle and scaling it aggressively. It will work up to a point, then the performance will drop. The you go panic mode! Instead, once you find a winning angle, keep working on finding the next one. Remember, scaling isn’t just increasing budgets. It’s about expanding the narrative too. The more winning angles you have, the more stable your scaling becomes. Final Thoughts Creative tweaks are useful if you’re looking to fine-tune and squeeze a funnel at best. Angles on the other hand make a huge difference. They can make or break your campaigns. If your campaigns feel stuck, stop asking: “What headline should I test next?” Instead, start asking: “What’s a different story can I tell?” The real lever in performance marketing isn’t the design. It’s the perspective. And once you master angle development, scaling becomes a lot more predictable.  

Let me guess. You’ve launched campaigns like this before: 5 ad groups 12 creatives Broad targeting Then you refresh the dashboard every hour hoping something sticks. Sometimes it does, but most of the time you end up turning everything off and blame it on the traffic source. With this approach you don’t have a traffic source problem, you have a structure problem. And if you don’t fix that, you’ll always feel like you’re guessing. Let’s change that.   The Illusion of Feeling Productive Launching a lot feels like great progress. More ads. More angles. More tests. In theory, that means more chances to win. But without a proper testing structure, you’re not really testing. When you launch everything at once: You can’t tell which variable drove performance Budgets get spread too thin Data becomes inconclusive All of which lead to shutting down the campaign (test) too early.   The Real Goal of Testing This is where most people get it wrong. The purpose of testing is not to make money, it is to gather data. You make money once you’ve validated what variables perform best. If you expect every test to be profitable immediately, you’ll: Never gather statistically meaningful data Turn off creatives and campaigns too early Bounce between campaigns and offers constantly Testing tells you what performs best, scaling generates the profits. Make sure to separate the two.   3 Phases of Structured Testing If you want consistent results, think in phases. Phase 1: Exploration This is where you test angles, not tiny creative variations. You want to understand which narrative gets traction. Not which headline color performs 1.3% better? Keep it simple: 3–5 distinct angles Equal controlled budget per angle Clear KPI target (based on allowable CPA) Your only goal here is to gather data, so make sure to allocate enough budget to gather statistically significant data for each angel in your test. Don’t look for perfection. Phase 2: Validation Once an angle shows promise, isolate it. Now it’s time to test: Creative variations Hooks Slight messaging shifts The goal at this stage is to validate whether the results are repeatable or not. If performance is consistent across variations, you’ve found a winner. Phase 3: Scaling You should consider scaling only after validation. Make sure you don’t double budget overnight. Instead make sure to: Increasing budget gradually Expand on winning angles Introduce new angles while scaling winners Don’t mess it up at this stage. Keep it simple and organized to scale reliably. How Much Budget Do You Need to Test Properly? This depends on your allowable CPA. But here’s a simple rule: Example: If your target CPA is $40, don’t shut down the test at $45. A good rule of thumb is to allow at least 2–3x your target CPA per angle before drawing any conclusions (assuming KPIs aren’t clearly disastrous) Testing requires patience, so give it time and don’t make assumptions in the hopes of saving a few bucks here and there. Why Most Campaigns Get Killed Too Early Here’s a scenario I see quite often: Media buyers launch campaign and shut them down if within a few hours from the launch they see a wildly high CPA or maybe no results at all. A typical panic reaction. What they often forget or ignore is that early volatility on a newly launched campaign is very normal. The traffic source algorithms are at work optimizing the campaign, measure how different audiences react to the product/offer. Then understand the conversion rates of the funnel. If your offer has a good conversion rate, healthy margins and good backend monetization, you can easily live with the early volatility until the campaign stabilizes. Refrain yourself from reacting to every small fluctuation. Give it time and data to stabilize. The Hidden Benefit of Structured Testing Here’s something most media buyers don’t realize. When you test methodically: You reduce emotional decision-making You get better at predicting expected results. You build predictable scaling systems So, instead of asking, “Why isn’t this working?” You should ask, “Which phase are we in?” That shift changes everything. What Structured Testing Looks Like in Practice Here’s a simplified workflow you can use: Validate your offer economics first Launch 3–5 distinct angles (not micro-variations) Allocate fixed budget per angle Let each angle gather meaningful data Kill clear losers early Isolate and validate promising angles Scale winners while testing new variations (step 2) It’s pretty simple and repeatable. And repeatable is what builds sustainable profit.   Final Thoughts Launching more ads, angles and variations all at once feels like feels really exciting. But that kills your ability to gather data and make reliable decisions. On the other hand, the boring structural testing, helps you to gather data that fuel your growth and help building a scalable business.  

Let me tell you something most performance marketers don’t want to hear: Your campaign probably didn’t fail because of your creatives. It didn’t fail because of the traffic or algorithm. And it definitely didn’t fail because you didn’t duplicate it five times. It failed because you’re promoting the wrong offer. I’ve seen media buyers spend weeks tweaking ads, adjusting bids, rebuilding landing pages… all to fix something that was broken before they even launched. So, if the economics don’t work, nothing works. And once you understand that, your entire approach to lead gen changes. Why You Need to Have A Good Offer Performance marketing isn’t magic. It’s math. Before you ever start driving traffic, three things are already locked in place: Your payout Your conversion flow Your back-end monetization Those three factors determine: How much you can afford to pay per lead How much room you have to test How much can you even scale, if that is possible. If your allowable CPA is too tight, you won’t survive testing. If your backend monetization is weak, you won’t survive scaling. If your offer only supports one angle, you won’t survive creative fatigue. And none of that has anything to do with your media buying skills. The Wrong Way Media Buyers Pick Offers Here’s what usually happens. Someone sees a high payout (maybe $60 or $80 per lead). They think: “Perfect. I just need leads under $60 and I’m profitable.” Then they launch. A few days later, CPAs are floating around $52–$65. They panic.  Kill the campaign. Then move on to the next “hot” offer. Sound familiar? The problem wasn’t the CPA. The problem was that they never calculated the real allowable CPA.   Step 1: Stop Looking at Payout (Focus on the Allowable CPA) Payout is surface-level. Allowable CPA is strategy. To calculate it properly, you need to understand: Average earnings per lead (not just payout) Approval rates Backend monetization strength Refund rates or clawbacks If the advertiser monetizes leads aggressively on the backend, they can tolerate higher CPAs. That gives you room to test. And testing is oxygen. Without it, you suffocate campaigns before they mature. Step 2: Check the Backend (Your Scaling Backbone) Front-end profitability is nice, especially when you’re just testing the offer. But, strong backend monetization is what makes you rich. If the offer has: Strong upsells A call center follow-up Email monetization Retargeting systems …then slight CPA fluctuations won’t kill you. But if it’s a thin front-end payout with no backend monetization? You need near-perfect traffic from day one. And that almost never happens.   Step 3: Ask Yourself: Can I Build 10 Angles? This is the question nobody asks. Can you realistically create 8–12 distinct angles around this offer? If the answer is no, you’re going to run into creative fatigue fast. Strong offers allow multiple narratives: Problem-based angles Opportunity-based angles Fear angles Curiosity angles Local framing Story-driven positioning If you’re stuck with one obvious hook, scaling will stall the moment performance dips. The more angles you have, the more you can scale. Step 4: Does This Offer Fit the Traffic Source? Not all traffic behaves the same. Discovery traffic (like native ads) is: Curiosity-driven Editorial in feel Context-sensitive If your offer can’t naturally blend into an informational or news-style frame, friction goes up. And friction kills conversion rates. Before launching, ask: Can I present this as content instead of an ad? If not, you’ll fight the platform instead of working with it.   Why Most Campaigns Die Too Early Here’s what really happens. Media buyers launch weak offers. CPAs are slightly high. There’s no or weak backend monetization. No proper testing. No angle diversity. So they shut it off and blame the traffic source. But the real issue is that the offer has no structural support. It was fragile from the beginning. Your Pre-Launch Checklist Before you spend a dollar, answer these five questions: What’s my realistic allowable CPA? Do I have enough budget and margin to test at least 3–5 angles? Is the backend strong enough to support volatility? Can I create 10 distinct angles? Does my funnel fit the traffic environment naturally? If you can’t confidently answer yes to all five, you’re gambling.   The Secret to Scaling Scaling isn’t about raising budgets. It’s about stability. And stability comes from strong foundations: Healthy economics Angle diversity Backend monetization When those are in place, optimization becomes easier. Performance becomes stable. And scaling feels controlled instead of chaotic.   Final thoughts Performance marketers love tweaking things. But the biggest lever isn’t what you do on Ads Manager. It’s what offer you run. With the right offer media buying becomes a stress-free execution. With the wrong one you’ll spend weeks trying to fix what can’t be fixed.

We’ve all been there. You launch a campaign, it survives the learning phase, and suddenly—bingo!—you’re seeing profitable days. The CPA is low, the ROAS is high, and your dopamine is to the roof. Naturally, you think, “If I’m making money at $100/day, I’ll make double at $200/day.” So, you double the budget. The next day? The campaign crashes. CPA skyrockets. Performance tanks. If this sounds familiar, you aren’t alone. Hundreds of profitable campaigns have been ruined from unconscious budget increases. The problem isn’t your ad or your landing page, it’s the bidding strategy you’re using, and specifically, a misunderstanding of Taboola’s “Maximum Conversions” bidding strategy. The Old Way vs. The New Way To understand why this happens, we have to look at how Taboola has evolved. Back in the day (and still today, if you choose it), we had Enhanced CPC (aka Smart Bids). This was the rugged off-road vehicle of bidding strategies. Once an Enhanced CPC campaign exited the learning phase, you could be really aggressive. We’re talking about scaling budgets by 30%, 50%, or even 100% overnight without really hurting your CPA. But in August 2024, Taboola introduced a brand new bidding strategy: Maximum Conversions. The “Max Conversions” Trap Max Conversions is great on paper. It removes the need to manually bid on sites, making it perfect for media buyers transitioning from social ads (Meta/TikTok) who are used to the algorithm doing the heavy lifting. But there is a catch: It is incredibly sensitive to budget changes. Unlike Enhanced CPC, the Max Conversions algorithm cannot handle budget shocks. If you change the budget by more than 30% in a single go, you break the learnings. It doesn’t matter how seasoned your pixel is; a drastic budget increase forces the algorithm to scramble, leading to a spike in acquisition costs. The New Rules of Thumb for Scaling So, how do you scale without killing your golden goose? It depends entirely on your bidding strategy. Here is the playbook: 1. If you are using Enhanced CPC: You can afford to be aggressive. Wait for the campaign to exit the learning phase. Scale: You can increase budgets by 30% to 100% every other day (or every day if you dare) as long as it remains profitable. 2. If you are using Maximum Conversions: You must be gentle. Wait for the campaign to exit the learning phase. Scale: Increase budgets slowly—aim for the 15% to 25% range (absolute max 30%). Frequency: Do this only 2 or 3 times a week. Do not touch it daily. Automating the Discipline The hardest part of this isn’t understanding the rule; it’s actually following it and consistency. When you are managing tens or hundreds of campaigns, remembering the budget of which campaign you scaled yesterday, and which earlier today doesn’t really work. Plus calculating the exact 15%-20% budget increase for each is logistically slow. Not to mention potential mistakes. This is where automation comes in. Use TheOptimizer to handle these budget changes for you. By setting rules that automatically scale budgets by the correct percentage based on the strategy, you remove the temptation to “yolo” a budget increase and accidentally ruin your best performing campaign. Bottom line: If you are using Max Conversions, patience pays. Scale slow, scale steady, and respect the algorithm’s sensitivity.

If you are managing three or four campaigns on Taboola, scaling is easy. You log in, check the stats, bump the budget by $50, and go about your day. But if you are managing hundreds of campaigns across dozens of accounts? That is a different story. One of the biggest issues we see in 2026 is media buyers missing opportunities—or worse, ruining them—because of manual errors. When you have 200 campaigns, it’s easy to forget that you already increased a budget at 9:00 AM. If you log in again at 2:00 PM and bump it again, you haven’t just increased the budget; you’ve potentially doubled it within a few hours. This “accidental aggression” confuses the algorithm and can send your CPA skyrocketing. To fix this, you need a system. Specifically, you need a system that treats your Maximum Conversions campaigns differently from your Enhanced CPC campaigns. Here is the blueprint for automating your scaling strategy without breaking your profitable campaigns. The Two Scaling Philosophies Before setting up any rules, you need to recognize that Taboola has two distinct bidding personalities: Enhanced CPC (Smart Bids): You control the bids. This strategy is robust and can handle aggressive budget jumps (e.g., 40-50%). Maximum Conversions (Max Conv): Taboola controls everything. This strategy is sensitive. If you bump the budget by more than 30%, the algorithm assumes you want volume at any cost, and your CPA will likely spike. You cannot treat these the same. Here is how to handle each one using automation (like the optimizer). Strategy 1: The “Max Conversions” Approach (The Gentle Touch) Since Max Conversions is sensitive, your goal is steady, predictable growth. We recommend a budget increase of 20% to 25%, executed 3 times a week (e.g., Monday, Wednesday, Friday). The Setup: Create an automated rule that runs every hour but only executes at 1:00 AM (account time) on your selected days. The “Safety Checks” (Conditions): Before giving a campaign more money, the rule must pass these checks: Is it actually spending? The campaign spend over the last 7 days should be at least 3.5x (350%) of its daily budget. This ensures you aren’t raising the limit on a campaign that isn’t even hitting its current cap. Is it out of “Learning”? Only scale campaigns that have exited the learning phase. Is it consistently profitable? Don’t just look at yesterday. Check the ROI (or CPA) for the last 3-6 days and yesterday separately. For example, ROI > 25% for both periods. This proves stability. The Action: Increase budget by 20-25%. Set a Hard Cap: Tell the rule not to exceed a certain amount (e.g., $2,500). Once a campaign hits this ceiling, you can move it to a “High Scale” rule with manual oversight. Strategy 2: The “Enhanced CPC” Approach (The Aggressive Push) Because you are controlling the bids manually, the algorithm is less likely to freak out when the budget jumps. You can be bolder here. The Setup: You can run this rule more frequently (e.g., every other day) or stick to the M/W/F schedule. The “Safety Checks”: Use the same logic as above (Spend, Learning Phase, Profitability). The difference is in the action. The Action: Increase budget by 40%. Set a Hard Cap: Similar to above, ensure you have a ceiling so a campaign doesn’t accidentally scale to $10k/day while you’re asleep. The “Autopilot” Hack: Naming Conventions How do you make sure the right rule applies to the right campaign without manually selecting them every time? Use your campaign names. Label your Max Conversion campaigns with a tag like | Max Conv |. Label your Smart Bid campaigns with | Smart Bid | or | Enhanced CPC |. In your automation tool, simply add a condition: If Campaign Name contains “Max Conv”, apply Rule A. If Campaign Name contains “Smart Bid”, apply Rule B. Why This Works By automating this process, you achieve three things: Consistency: You never miss a scaling opportunity because you were busy or out of the office. Discipline: You never “over-scale” out of greed or impatience. The rule sticks to the math (20% or 40%). Safety: You prevent human error (like double-bumping budgets) that can turn a profitable campaign into a loser overnight. Stop doing mental math on hundreds of campaigns every morning. Set the rules, trust the schedule, and let the system scale for you.

We’ve all been there. You finally launch a new Taboola campaign, the excitement is high, and you step away for a while. You come back a couple of hours later to check the stats, and your heart sinks. Your budget has been spent on low-quality websites you’ve never heard of. No conversions. No engagement. Just spend. Your first instinct might be to freak out and pause everything. Don’t! Seeing your spend flow toward lower-quality sites in the first few hours is not only common, it’s actually a normal part of the process. Here is why it happens and, more importantly, how you should handle it without losing your cool (or your entire budget). Why Is My Budget Going There? When you launch a fresh account, Taboola doesn’t have a “publisher history” for you yet. It doesn’t know who your best customers are or which websites they read. So, the algorithm goes into exploration mode. It casts a wide net, testing a huge range of publishers—including some low-intent or lower-quality ones—just to see what sticks. It’s trying to gather data on where your ads convert and how audiences engage with your funnel. Think of a new door-to-door sales man knocking on every possible door pitching his product without any insight on the neighborhood he’s approaching.  The “Day One” Strategy: Be a Ruthless Gardener Just because this phase is “normal” doesn’t mean you should sit back and watch your money burn. The key to success is how you respond during this initial volatility. Here is your game plan for the first 24 hours: Monitor Publisher Distribution Closely: Don’t wait days hoping the algorithm will magically fix itself. It won’t happen fast enough to save your budget. Cut the Losers Immediately: If you see specific sites spending decent money with zero engagement or conversions, cut them or bid them down right away. Force the Shift: By aggressively pruning these bad sites, you force the algorithm to focus its learning on higher-quality supply. The Trap: Don’t Overreact There is a fine line between being proactive and being impatient. While you want to cut the obvious waste, you also need to give publishers enough volume to actually prove themselves. If a site has spent $0.50 and hasn’t converted yet, that’s not a reason to block it. Make your decisions based on data, not gut feelings or panic. Manual vs. Automated Let’s be real: sitting in front of your dashboard refreshing the page every 10 minutes to block bad sites is exhausting. It’s effective, but it’s a grind. This early campaign “cleanup” is exactly the kind of task that is better handled by automation. Tools like the optimizer can automatically block sites or adjust bids based on rules you set, ensuring you catch the waste instantly without losing sleep over it. If your new campaigns look like a disaster in the first few hours, take a breath. It’s exploring. Your job isn’t to panic—it’s to guide that exploration away from the junk and toward the gold.

If you are a media buyer coming from the world of Facebook ads, your first foray into Native advertising (like Taboola) can feel like a splash of cold water. You launch your campaign, you wait for the magic, and… the performance looks terrible. Your first instinct might be to turn everything off and assume something is broken. But before you kill the campaign, take a deep breath. Such behavior on native traffic is completely normal. Native campaigns aren’t just “Meta ads but on news sites.” They are a different beast entirely, and treating them like social ads is usually where things go wrong. Here is why your native campaigns need a different approach to succeed. 1. You Are Starting With Zero History When you launch a new account on Taboola, you are effectively a stranger to the algorithm. Unlike your seasoned Meta pixel that knows exactly who buys your product, a new Native account has no history. Taboola doesn’t know your offer, it doesn’t know how your funnel converts, and it has no idea which publishers are going to work for you yet. Just like a new Facebook ad account, you need to budget for a “warm-up phase.” Expect some volatility in the beginning, it’s just the system trying to figure you out. 2. The “Wild West” vs. The Walled Garden On Meta, you are playing in a controlled sandbox. You are dealing with one or two platforms (Facebook and Instagram) where user behavior is fairly predictable. Native traffic is fundamentally different. Your ads are being distributed as “recommended content” across thousands of different publisher websites. This means you aren’t just dealing with different audiences; you are dealing with different levels of intent and a lot more “noise”. A user reading a news article is in a different headspace than someone scrolling their Instagram feed, and your strategy needs to account for that variance. 3. You Can’t Just “Wait and See” On social, we are often taught to “let the algorithm learn” and not touch anything for a few days. If you do that with Native ads, you might burn through your budget with nothing to show for it. You need to be ruthless about cutting poor-performing sites from day one. Don’t wait around hoping the algorithm will magically fix a bad publisher placement—it won’t. You need to actively block sites that aren’t converting to help the campaign learn faster and save your budget. The Silver Lining (And How to Manage It) It’s not all hard work! The good news is that creative production for Native ads is generally much cheaper and simpler than the high-end video production often required for social. However, the trade-off is that the management is more labor-intensive. You have to constantly pause ads, block sites, and adjust bids. It can be a grind to refresh your screen all day. If that sounds exhausting, then let TheOptimizer handle that for you. By automating the site-blocking and bid-changing process, you can focus on strategy instead of getting lost in the weeds of manual management. The bottom line: If your Taboola campaign looks rough on day one, don’t panic. Give it time, cut the bad sites aggressively, and remember that you are playing a different game now.

Launching paid campaigns at scale on Meta Ads is a logistical nightmare. Especially when you’re dealing with multiple ad accounts, fan pages, and audience targeting variations. Doing it manually through Facebook Ads Manager is not just inefficient, it’s guaranteed to burn hours on tedious, repetitive work while increasing the risk of human error. But what if you could launch hundreds of campaigns with hundreds or thousands of ads across multiple ad accounts and fan pages in a matter of minutes? That’s exactly what I did! 👊 Instead of spending 8+ hours manually setting up campaigns, targeting, and uploading ads one by one, I used a simple, well-structured workflow that eliminated launch friction and bottlenecks. In addition to that, what makes this workflow even more efficient is the ability to add dynamic automatic optimization rules. The result? A streamlined mass launch process that not only saved time but also ensured budget-efficient adjustments without constant manual oversight. This guide will walk you through every step of the workflow, from setup to scaling, so you can replicate the process and maximize efficiency in your own campaigns. Pre-launch Preparation Define Campaign Structures and Templates The first step I went through was to define the campaign structure and settings I wanted to use. This way, I could set up campaign targeting templates and get them ready for my launches. Below are the following structures I wanted to test: Campaign Structure 1 Campaign Objective Sales Budget Allocation Campaign Level (CBO) Campaign Optimization Event Purchase Placements Exclusion Audience network, Messenger, Ads Over Reels Number of Ads per Ad Set 1 Ad per Ad Set Number of Ad Sets per Campaign Variable (depending on the quantity of the ads) The goal of this campaign structure was to put Meta’s algorithm to work and find me the best creative for each campaign. Campaign Structure 2 Campaign Objective Sales Budget Allocation Campaign Level (CBO) Campaign Optimization Event Purchase Placements Exclusion Audience network, Messenger, Ads Over Reels Number of Ads per Ad Set 3 Ads per Ad Set Number of Ad Sets per Campaign 2–3 Ad Sets per Campaign The goal of this campaign structure is to test which of the previously tested creatives is going to win over the others, as well as see if it gets more results in a shorter period of time. Now that my structures have been defined, all I had to do was create my campaign templates. To save my campaign targeting settings as templates I used TheOptimizer’s Facebook Launcher. Here’s the step-by-step process of what I did. Step 1: Logged in to my Optimizer account and went to Campaign Creator Step 2: Specified the campaign settings like ad account, running status, special categories (if any), campaign objective, bid strategy and budget. Step 3: Specified Ad Set naming structure,  performance goal, pixel, optimization event, country targeting, beneficiary (if needed), and placement exclusions (where I generally either spend a ton of money or time setting it up). Step 4: Saved the campaign settings as a template for later use. This is what actually helped speed up the process by a lot, saving me the trouble of going through the above steps for each and every campaign. I repeated the above steps a couple more times to define a template for the Finance product special category and the employment special categories resulting in three main campaign templates: CBO Purchase $100 US – Excl. AN-MSG CBO Purchase $100 US Fin – Excl. AN-MSG CBO Purchase $100 US Hous – Excl. AN-MSG Pro Tip:  If needed, you can specify the Facebook and Instagram Fan Pages in the template; however, in my case, I left that intentionally undefined since I was going to test multiple fan pages. Organizing Campaign Names and Creative Tags Since I was going to launch a lot of campaigns in bulk, having a clear campaign naming structure and organization of the creatives using tags was crucial for me to avoid potential bottlenecks. In fact, I wanted to test such a flow to make it easily replicable later on and document it in my launching SOPs. Two were the main things I wanted to be well-organized besides the campaign templates. The campaign names The creative tags Regarding the campaign names, I wanted to be able to easily tell which client/supplier I was promoting on the campaign, the buyer name, which vertical/offer I was promoting on the campaign, as well as the launch date. To make things easier with campaign names, as well as the creative tagging, I created a Google sheet where I could easily generate the names and tags based on my input. Below is a sneak peek of how the sheet looked ⤵️ 📋 Click here to get a copy of the sheet. How this sheet worked was pretty simple. Any campaign marked as “Pending” in the sheet is considered a task for the creative team to generate ad creatives for. Each campaign required 6-12 creatives, testing at least 2-3 different angles and 3-4 distinct designs for testing. With these guidelines in mind, the creative team could easily review campaign links, analyze offers, and create the necessary assets. Once the creatives were ready, all they had to do was go to. Creative Library > Media > Upload New Media. To upload the creatives, they simply had to drag and drop the creatives from the local folder, then tag them during the upload process. Pro Tip:  Unique tags for the creatives were already generated in the Google Sheet automatically, so the team simply needed to copy and paste them during the upload. During the testing phase, this process was handled manually to validate the workflow. Once confirmed, creative uploads to TheOptimizer were automated using their API. Meta Ads Automation for Stop Loss and Scaling Although this step may seem unrelated to mass launching, those familiar with the process know how crucial it is to stop underperforming ad sets and campaigns before they waste too much budget. With nearly 100 campaigns ready to be launched, I needed automation to quickly cut losing campaigns and scale winners—all while continuing to launch new ones in bulk. This ensured minimal wasted ad spend and consistent scaling of profitable campaigns. Here are some of the automatic rules I used in this launch. Stop Loss Automatic Rules Rule 1: Pause Ad Sets at $10 without conversions. Although based on a simple logic, this rule struck a good balance between creative testing and minimizing ad spend waste. Rule 2: Pause Non-Converting Meta Campaigns After a Full Daily Budget of Ad Spend I was looking for campaigns that could generate at least 1 conversion within the first day, or when they’ve spent 100% of their daily budget. The campaign’s budget was already set to 5 to 10 times the average payout or CPA goal for the campaigns. Rule 3: Pause negative ROI campaigns after three full days of running. The goal of this rule was to practically turn off any campaigns that by day three couldn’t reach an ROI higher than -30%. If you look carefully at the rule conditions, you will notice that the rule mimics the behavior of the media buyer. That of checking the campaign performance, each and every single day, and making decisions upon the progress of the campaign. If the campaign didn’t improve and pass the required threshold, then the campaign would get turned off. Automatic Scaling Rules Rule 4: Increase the daily budget by 30% twice a week if ROI is stable. Just like the stop-loss rule that kills the campaign after the third day of running if the ROI isn’t getting better than -30%, this rule does the opposite. If over the last three days, the campaign performance is stable according to the ROI threshold set in the rule, then the rules will increase the daily budget of the campaign by 30% two times a week. It is worth mentioning that when this rule changes the budget. It doesn’t do it at a random hour, instead does the change at the beginning of the day according to the other account time zone so that Meta ads starts the new day with a new budget, knowing well what the budget will be for the rest of the day. Rule 5: Duplicate Winning Campaigns 1x Week by Resetting Their Daily Budget This rule is part of my strategy to scale winning campaigns, not only vertically but horizontally too. While […]

Running RSoC without Restricted Ad Features (RAF) is like driving with the handbrake on. You can still move, but you lose the tools that make campaigns efficient. Styling options, advanced reporting, and custom search units are all part of RAF. Without them, optimization slows down and scaling gets harder. The risk in 2025 is that Google can now remove these privileges through the 3-strike RAF rule. Too many violations, and you don’t just lose ads — you lose features that give you an edge. If you’re not familiar with how the strike system works, read this guide first: Google’s 3-Strike RAF Rule Explained. So how do you keep your privileges safe? Let’s walk through five practical steps. Step 1: Use compliant ad templates The fastest way to get in trouble is to write new creatives from scratch every time. Instead, build a set of ad templates that you know pass compliance. These can cover your main verticals and angles. When you launch new campaigns, you only change the details inside a proven safe structure. This lowers the chance of mistakes and makes reviews faster. Step 2: Align landing pages with ads Many strikes come from mismatched pages. If the ad promises car insurance quotes, the page cannot redirect to a loan form. Even small mismatches can count as misrepresentation. Always make sure headlines, visuals, and CTAs connect directly to the ad copy. Think of the page as an extension of the ad, not a separate asset. Step 3: Run pre-launch audits A quick internal audit can save weeks of headaches. Check headlines for exaggerated claims, scan keywords for banned terms, and load the page on mobile to see if it’s fast and user-friendly. A simple five-minute checklist reduces the chance of disapprovals turning into strikes. If you don’t have a checklist yet, see our earlier post: How to Audit Your RSoC Ads for Compliance Before Google Does. Step 4: Automate compliance at scale If you manage multiple accounts or run a feed with partners, manual checks are not enough. Use automation to block risky creatives before they go live. This is critical for feed providers because even if a partner ad breaks the rules, your feed takes the strike. Tools like TheOptimizer can screen campaigns in real time and protect your RAF privileges automatically. Step 5: Keep records and train your team Strikes often happen because teams repeat the same mistakes. The fix is simple: document every violation, note what triggered it, and update your workflow. Share this knowledge with anyone who launches campaigns on your behalf. A trained team and a shared playbook make it easier to stay compliant in the long run. Final thoughts RAF privileges are not just “nice to have.” They are essential for scaling and optimizing RSoC campaigns. Losing them slows you down and can even cut your profits. The good news is that keeping them safe is not complicated. Build compliant templates, match your pages to your ads, audit before launch, automate checks, and keep your team aligned. Follow these five steps and you’ll not only avoid strikes but also protect the tools that make RSoC profitable. For the full strike system details, revisit this breakdown: Google’s 3-Strike RAF Rule Explained. Pair that knowledge with the steps above, and your RAF privileges will stay intact.

In 2025, Google has become much stricter with Related Search for Content (RSoC) campaigns. Violations that once slipped through now get flagged fast. With the 3-strike RAF rule in place, too many mistakes can remove your access completely. Knowing the violations in detail is the first step to staying safe. But just knowing is not enough. You also need to understand what each violation looks like in practice and how to fix it. For the official list of what Google will not tolerate anymore, see this post: RSoC Compliance in 2025: What Google Won’t Tolerate Anymore. In this article, we’ll expand on that list with clear examples and compliant alternatives. 1. Misrepresentation Violation: Claiming results that don’t exist, like “Get approved instantly” when approval takes days. Fix: Use clear and true language. Example: “Fast online application with results in 24 hours.” 2. Exaggerated earnings Violation: “Earn $500 a day from home.” Fix: Avoid numbers unless you can prove them. Safer angle: “Work from home opportunities available.” 3. Fake urgency Violation: “Only 2 spots left today!” when that’s not true. Fix: Use urgency based on fact. Example: “Limited-time signup bonus until Sunday.” 4. Clickbait headlines Violation: “Doctors hate this trick” or “This one simple secret will change your life.” Fix: Stay specific. Example: “5 tested ways to lower your car insurance costs.” 5. Unrealistic salary claims Violation: “Get a $100k job with no experience.” Fix: Keep it grounded. Example: “Entry-level roles available in tech and finance.” 6. Prohibited financial offers Violation: Payday loans or misleading credit repair ads. Fix: Stick with approved financial products and describe them honestly. 7. Health and weight loss promise Violation: “Lose 20 pounds in one week.” Fix: General wellness angles. Example: “Tips for healthier daily routines.” 8. Before-and-after images Violation: Photos showing dramatic transformations for fitness or beauty. Fix: Use lifestyle images that suggest a result without showing fake proof. 9. Misleading search terms Violation: Stuffing keywords that don’t match the page, like “cheap flights” when the page sells insurance. Fix: Only use keywords directly tied to your offer. 10. Thin content Violation: Landing pages that are only ads with no real text or context. Fix: Add useful content. Even short guides or comparisons make the page stronger and safer. 11. Manipulated news or logos Violation: Using fake news articles or unauthorized brand logos to add credibility. Fix: Stick with original copy and licensed visuals. 12. Sensitive or shocking content Violation: Using violent or shocking images to get clicks. Fix: Keep visuals clean and relevant to the offer. 13. Adult or restricted topics Violation: Any adult content, sexual imagery, or products not allowed by policy. Fix: Avoid these completely. No safe workarounds here. Why Fixing These Violations Matters Every violation increases the risk of a strike. Too many strikes, and you may lose your RSoC access permanently. For details on how the strike system works, read this guide: Google’s 3-Strike RAF Rule Explained. By rewriting ads and pages the right way, you keep your campaigns compliant and profitable. The key is not to water down your message but to stay honest, specific, and aligned with Google’s rules. Final Thoughts RSoC is still a strong channel in 2025, but only for those who respect the rules. Most violations happen because buyers push too far with copy or cut corners on landing pages. If you treat this list as part of your daily workflow, you’ll avoid the mistakes that kill campaigns. Combine it with regular audits and automation, and you’ll be ahead of most media buyers still trying to push non-compliant ads through.