Tips to Maximize Ad Performance Through Iteration

I've audited 100s of ad accounts. The most successful ones obsess over the same thing: "Creative feedback loops" Because most so called "experienced" media buyers are solo operators. ↳ They test ads in isolation. ↳ They don't share learnings with designers. ↳ They've never built a system for compounding wins. So here's what effective creative feedback loops look like: 𝟭) 𝗪𝗲𝗲𝗸𝗹𝘆 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝗿𝗲𝘃𝗶𝗲𝘄𝘀: ↳ Pull every winning and losing ad. ↳ Document exactly why each one worked or failed. ↳ Share with entire team. 𝟮) 𝗜𝘁𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝘁𝗲𝗺𝗽𝗹𝗮𝘁𝗲𝘀: ↳ Your winning ads should become templates for new variations. ↳ Change hooks, keep winning body. ↳ Change creator, keep winning script. 𝟯) 𝗡𝗮𝗺𝗶𝗻𝗴 𝗰𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻𝘀: ↳ Track every element: concept ID, hook type, creator, angle, offer. ↳ Know exactly what's driving performance. 𝟰) 𝗗𝗮𝘁𝗮-𝗱𝗿𝗶𝘃𝗲𝗻 𝗯𝗿𝗶𝗲𝗳𝘀: ↳ Stop guessing. ↳ Brief new creative based on proven winners. ↳ Include CTR, hook rate, hold rate benchmarks. 𝟲) 𝗩𝗼𝗹𝘂𝗺𝗲 𝘁𝗮𝗿𝗴𝗲𝘁𝘀: ↳ Set minimum creative output: 20 new concepts per week. ↳ Test everything. ↳ Let data decide. — The best brands treat creative like a huge science experiment. Every test teaches them something. Every win becomes a template. Every failure prevents future mistakes. That's the difference between guessing and knowing.

I spent $65,000,000+ on Meta ads so you don’t have to. Over the last few years, I’ve worked with dozens of DTC brands in beauty, skincare, fashion, CPG, and home goods. I’ve seen what works (and what burns money) across every stage of growth. Here are 10 hard-earned lessons from the trenches: 1. Creative strategy beats media buying. The algorithm already knows who to show your ad to. What separates great brands is creative: strong angles, messaging, and hooks that actually convert. 2. Creative is targeting. You don’t need 17 ad sets and crazy custom audiences. One powerful ad that speaks directly to your customer beats everything. 3. Static native ads are king. Especially for MOF and BOF. These don’t scream “I’m an ad”—and that’s why they work. 4. If you’re using video, your first 3 seconds matter most. People scroll fast. If the hook doesn’t hit immediately, they’re gone. Write for the scroll, not the script. 5. Start with a scalable hero product. High margin, low return rate, strong retention. If your product can’t scale profitably, your ad strategy won’t either. 6. Know your customer inside-out. Go beyond demographics. Read reviews, Reddit threads, TikTok comments. Mirror how they talk about their pain points. 7. Build an offer that’s worth sharing. Bundles, bonuses, exclusives—these boost AOV and give people a reason to act now. 8. Campaign structure matters. Use a consolidated setup: Advantage+ for broad reach, CBO for testing, and a clean retargeting stack for conversions. 9. Winning creatives come from a repeatable system. Map out angles, hooks, variations. Test weekly. Refresh often. The most creative brands have the most systems. 10. Track real performance metrics. CTR and ROAS are surface-level. Blended CAC, LTV, and contribution margin tell the real story. Scaling on Meta isn’t about hacks. It’s about strategy, consistency, and iteration.

How I build Google Ads Demand Generation Campaigns (Step-by-step tutorial guide) 👇 1. Audience setup before launch → Campaign type: Demand Gen (Display + YouTube reach) → Cold = Custom segments (interests, competitor URLs, search behavior) → Warm = Web traffic (30d), video viewers (75%+), high scroll depth → Hot = Customer Match from CRM/email lists → Exclude converters. Use lookalike segments. This enables prospecting. 2. Asset framework → 1x square video (1080x1080), 1x vertical (9:16), 3x static images, 1x carousel → Headlines: ≤30 chars | Descriptions: ≤90 chars → CTA: “See how it works” > “Buy now” → Creative formula: Hook → Proof → CTA ↳ Align assets to funnel stage (ToFu/MoFu/BoFu) 3. Bidding + budget logic → Budget = 10x target CPA (min $100/day) → Start with: Maximize Conversions → Consider Adding: Target CPA (after 50+ conversions) → Only use campaign-specific conversion goals 4. Creative testing & iteration → Launch with 3+ asset groups per campaign ↳ Each with a distinct angle (pain point, aspiration, product demo) → Use asset-level performance view: ↳ Flag under 0.5% CTR or above 1.5x CPA → Replace low-performers weekly → Scale top-performers into standalone campaigns → Refresh creatives every 3-4 weeks to avoid fatigue 5. Landing page execution → Message match: ad = LP headline → Page load <3s | Mobile FCP <2s → Sticky CTA, autofill forms, no top nav → Test form length, CTA copy, page structure (A/B) Bonus: ↳ Refine audiences based on triggered terms ↳ Cut poor placements (Gmail, Shorts, Apps if CTR <0.2%) ___________________ ♻ Repost if you found this helpful! ♻ Follow Marc Jordan Waldeck and Bounce Marketing for more! Need expert management? DM me! 🤓

Meta Ads in 2025: How to Plan, Strategize, and Scale Creatives That Convert I’ve seen it time and time again: brands diving into Meta ads without a system to back them up. 2025 is here, and the stakes are higher. If you want to win on Meta, throwing a few ads into the mix and hoping for the best isn’t going to cut it. The brands that succeed this year will be the ones with airtight strategies for creating, testing, and scaling ads at volume. Here’s how to plan, strategize, and track your Meta ads in 2025: 1️⃣ Start With a Creative Plan Think of your ad creative as the fuel for your campaigns. • Define your core themes: trust-builders, before/afters, testimonials, problem/solution. • Mix it up: UGC, static images, lifestyle videos, and carousels all serve different purposes. Pro tip: Plan to test at least 10-15 unique ads per theme to identify early winners. 2️⃣ Build a Testing & Scaling System Not every ad will win, and that’s OK. The key is knowing how to test and scale efficiently. • Separate testing and scaling campaigns. • Test creatives at low budgets and identify winners based on key metrics (CTR, CPA). • Once you have a winner, pour budget into scaling campaigns while continuing to test new creative. 3️⃣ Track Creative Performance Religiously You can’t scale what you can’t track. • Categorize ads by type (UGC, lifestyle, etc.) and theme (trust, benefits, problem/solution). • Use a system to log key metrics: CPC, ROAS, CTR. • Analyze trends: Does a certain theme perform better? Does UGC consistently win for your audience? Tracking this data will reveal why an ad worked so you can replicate its success. 4️⃣ Iterate Relentlessly 2025 is all about iteration. Don’t just scale a winner and call it a day. • Identify which part of the creative is driving conversions: the hook? The CTA? • Create new versions (different hooks, angles, or visuals) to keep testing. • Remember: Even a winning ad will fatigue—constant iterations keep performance strong. If your 2025 Meta ad strategy isn’t built on a foundation of planning, tracking, and iteration, scaling profitably will be an uphill battle. It’s not just about running ads—it’s about having a system that drives results. What’s your biggest challenge with Meta ads heading into 2025? Let me know 👇 Enjoy this? Repost it to your network and follow Chris Marrano for more. Want to improve your Shopify results? Join our newsletter of thousands of subscribers today: https://lnkd.in/eqzi5mtV

Ever wonder how to keep your winning ad creatives from going stale? 🤔 Here’s a quick guide to maintaining the magic without losing performance: 1️⃣ Create Iterations ↳ Take your best-performing ad and tweak it: adjust the copy, swap out images, or test a new CTA. Why? Small changes keep it fresh while retaining the core appeal. 2️⃣ Expand Audience Targeting ↳ Test new lookalike audiences, demographics, or placements (stories, reels, etc.). Why? Fresh eyes on your winning creative expand its reach without oversaturating. 3️⃣ Introduce Dynamic Elements ↳ Use dynamic creative optimization to rotate variations automatically based on user preferences. Why? Tailored content maximizes engagement with minimal effort. 4️⃣ Leverage Multiple Formats ↳ Transform static creatives into videos or carousels. Use them in reels or stories for shorter attention spans. Why? Different formats increase engagement without reinventing the wheel. 5️⃣ Monitor & Refresh Ads ↳ Stay ahead of ad fatigue by watching performance metrics and swapping creatives periodically. Why? Proactive updates extend your creative’s lifecycle and effectiveness. Found this useful? Like, follow, and repost ♻️ so others can too! ps. struggling with creative bottlenecks? We can help.

Is your PMAX campaign a black box of wasted spend? Here's how to take back control and start seeing real results. The days of "set it and forget it" with Performance Max are over. Most advertisers blindly follow Google's advice with PMAX, throwing in all products with zero strategy. Your initial focus should be consolidation—creating one tightly structured campaign that generates enough data for machine learning to work. The true optimization magic happens when you transform that initial campaign into a "best sellers" powerhouse, strategically carving out underperforming products. This campaign sculpting approach has consistently outperformed the standard Google playbook by 20-40% in my client accounts. Look at what Mike Rhodes' PMAX script reveals about your placements - if display and video are eating your budget with poor returns, it's time to reassess. The insights tab contains gold that most advertisers never mine. Use search term insights to understand which categories convert best, then build targeted search campaigns around them. Don't neglect your low-performing assets - replace anything tagged "low" with fresh creative regularly. Your product feed quality will make or break your shopping performance (the most valuable PMAX placement). Make sure your location targeting is set to "presence" only - not "presence or interest" which can waste budget. Turn off "optimize asset performance" if you don't want Google creating potentially problematic ad copy. Add brand exclusions to prevent your own brand terms from inflating performance metrics. The real magic happens when you sculpt your consolidated campaign by moving underperforming product categories to standard shopping. This laser-focuses your PMAX campaign on your best sellers while giving other products their own optimization paths. Comment 'OPTIMIZE' below to get my detailed Performance Max Optimization Checklist with a step-by-step guide to campaign sculpting. (Note: Please send a connection request first so I can share the checklist with you directly - otherwise it may take longer for me to reach you) #GoogleAds #eCommerce #PPC #SEA #SEM #PMAX #PerformanceMax

This is the 5-step strategy I used to generate over $150M with Facebook ads (survive the IOS update) IOS 14 weeded out the unequipped advertisers pretty quickly, and the only people still performing are the ones that adapted their media buying strategy. Here’s the approach you can use in 2024 to keep pumping out ads that perform: 1. Check past performance. You need to be aware of your current situation before you start working on pumping out more creative. If you have information on which advertising have historically performed well, start there. You’ll learn a lot about what appeals to your audience by analyzing the performance of your previous advertisements. 2. Create ad variations Make duplicates of your best-performing ad copy if you have data on it. Improve upon your top performers by making changes to headlines, visuals, and 3-second hooks, among other things. This will help you determine which components make the advertisement successful and allow you to further enhance it. 3. Test new ideas Once you've created your new ad variations or concepts, you need to test them out. Keep in mind that finding the top-performing ad creatives is the aim here, so pay close attention to pertinent metrics like CPA (Cost Per Acquisition) & ROAS (Return on Ad Spend). 4. Eliminate low performers Start evaluating the effectiveness of your advertisements after they have been running for roughly three days, which should be sufficient time to get some conversion statistics. Switch off the less effective advertising and concentrate your attention on the ones that are producing outcomes. You can maximize your ad expenditure and raise the general efficacy of your Facebook advertising campaigns by following this procedure. 5. Work off of your winners Once you have your top performers, iterate on them. As you make adjustments to the hooks and other components, attempt to figure out why they worked so well. You'll start to scale once you understand why an advertisement works. Let's take an example where you run three advertisements, each with a distinct color (red), fruit (apple, watermelon, and blueberries) and both. If the red ad does not perform as well as the green and blue advertising, you will need to determine if the fruit or its color is the difference maker. It's here that you can become "scientific." See how well a red advertisement works by trying it with a watermelon. If so, the fruit—rather than the color—is most likely what is causing conversions. Keep this information in mind and utilize it to improve the creative approach for your advertisement. You can effectively scale your Facebook advertising campaigns and make better judgments if you consistently learn from your top-performing advertisements. Overall, if you can follow this fundamental outline, I guarantee you’ll be putting yourself in a position to succeed. REMEMBER, Facebook advertising isn’t rocket science! Ideate, create, test, and decide your next move from there.

Does your niche expertise feel invisible on LinkedIn? You need to analyze the hidden metrics. Take this client: Technical audience, hard to hook - all the data below is from WV/single image ads. TOF Campaigns (3 total, geo-segmented on core challenges): Avg frequency: 2.28 Audience penetration: 3.2% Avg dwell time: 2.01s MOF Campaigns (9 total, geo-segmented on use cases/social proof): Avg frequency: 6.42 Audience penetration: 29.7% Avg dwell time: 2.39s Obviously, MOF dominates frequency/penetration, minor dwell bump. Hidden insight: Total consumption (frequency x dwell). TOF: 4.58s avg per prospect. MOF: 15.34s avg—over 3x more. My point being: Design your funnels for consumption -- TOF alone misses layering variety (use cases, proof) that etches you in memory for B2B cycles. How: 1- Hook TOF, saturate MOF with retargeting, and keep prospects engaged deeper. 2- Segment geo + challenges/use cases to scale wide without thinning audiences. 3- Mine "hidden" metrics like dwell/penetration for prospect insights. Technical niches need more than one ad, so you need to blend TL/video for better impact. But now you get the idea. -- Pro tip: you can do the same for video content! But you'll need to export the ad performance data so you can get the total seconds of the video assets you're running, and then use formulas to calculate the efficiency of consumption. 50% of a 10s video is nowhere near as much as 25% of a 2m video. #linkedinads

We’ve seen a 20-40% improvement in ROAS using AI to 'read' past videos, analyze their performance, and give us winning concepts. Here’s how (in 4 steps). Many marketers tend to get stuck in a cycle of endless trial and error when it comes to analyzing results. Here is what typically happens: 1. Manual review of past video performance. 2. Guesswork in creative development. 3. Slow turnaround times. The result? Unclear insights, inconsistent performance, slow iterations. Imagine if you could streamline & speed up this entire process and see a 20-40% improvement in your ROAS. That’s exactly what we’ve achieved by leveraging AI to analyze our past video ads. Here’s how we do it: 1. ‘Feed’ the AI past scripts: - We feed our past video concepts into an LLM. - Have the AI ‘read’ the content, analyzing key performance indicators like CPA (Cost Per Action) and TSR (Thumb Stop Ratio). 2. Have the AI analyze your scripts. - The AI identifies the best and worst performers based on performance metrics. - The AI breaks down what made certain videos succeed while others fell flat, accounting for user motivations, hooks, and other elements. 3. Generate new winning concepts. - Using insights from the AI analysis, we then prompt the AI to develop new creative concepts. - These new ideas are rooted in data, incorporating elements that have historically driven strong performance. 4. Iterate and optimize quickly - We generate multiple concepts FAST. - Plus, the AI continuously learns from each iteration, refining its recommendations to deliver even better results over time. The result? We’ve consistently seen a 20-40% improvement in ROAS by integrating AI into our creative strategy. The data-backed confidence that the concepts you’re producing are built to perform feels like a night and day difference vs. the earlier ‘shooting-in-the-dark’ approaches. I’ve prepared a video walkthrough that showcases exactly how we do this - so you can use and adapt this to your own creative production workflow.

"Set it and forget it" doesn't work on any platform – let alone LinkedIn Ads. Here's what you need to do regularly 👇 Why? Because seasonality, trends, and traffic patterns change. So, here's what you need to be doing: 1. 𝗠𝗮𝗻𝗮𝗴𝗲 𝘆𝗼𝘂𝗿 𝗯𝘂𝗱𝗴𝗲𝘁𝘀: Daily spend can go up to 50% over what you set. Always plan for this buffer to avoid budgeting surprises. 2. 𝗠𝗮𝗻𝗮𝗴𝗲 𝘆𝗼𝘂𝗿 𝗯𝗶𝗱𝘀: Are you bidding too high and overpaying? Are you bidding too low and cutting off traffic? Iterate to find the sweet spot, but monitor - because monthly & seasonal traffic patterns can throw a wrench in prices. 3. 𝗕𝘂𝗶𝗹𝗱 𝘂𝗽 𝘆𝗼𝘂𝗿 𝗲𝘅𝗰𝗹𝘂𝘀𝗶𝗼𝗻𝘀: As your campaign runs, you'll see the companies, sizes, and job titles reached. Often some not-ideal-fits, competitors, or current customers sneak through. Monitor and exclude them to cut the fat on your campaigns.     4. 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 𝘆𝗼𝘂𝗿 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻𝘀: Identify which campaigns & ads are driving results. Understand the trends. Pause down lower performers, and shift to better performers.     5. 𝗥𝗲𝗳𝗿𝗲𝘀𝗵 𝘆𝗼𝘂𝗿 𝗮𝗱 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗲: Once a person sees the same ad a few times, "ad blindness" begins to set in, and they'll scroll by assuming they've already seen it before. Refresh your layouts, your brand templates, and say things in new ways to break through. This is how you really hone-in an ad campaign over time.