Training: From Launching to Scaling Profitable Search Arbitrage Campaigns on Meta Ads

For the past two years, Meta has been stripping away manual controls. Interest targeting became a “suggestion.” Detailed targeting expanded by default. Advantage+ took over audience selection. The message was clear: trust the algorithm. Then, in June 2025, Meta did something that seemed to contradict all of that. They gave advertisers value rules. Value rules let you tell Meta’s algorithm that certain audience segments are worth more (or less) to your business, and to adjust its bids accordingly. You can bid 60% more for women aged 25 to 34. Or bid 40% less for users in a specific country. Or deprioritize a placement where your conversions have a high refund rate. All without creating separate ad sets or fragmenting your campaign structure. As Jon Loomer put it in his deep dive on the feature: value rules address a real weakness in Meta’s optimization. The algorithm is designed to get you the most results possible. But it doesn’t inherently care about the value of those results. It optimizes for volume, not quality. Value rules let you layer business intelligence on top of algorithmic efficiency. The feature launched for Sales and App Promotion campaigns in June 2025, expanded to all campaign objectives by August 2025, and received significant enhancements in 2026 including placement-specific rules and device platform adjustments. But here’s the thing Meta tells you upfront in the setup screen: “When you use value rules, you may see more conversions from your preferred audiences, but your overall cost per result may increase.” That warning isn’t decoration. Meta’s own documentation says value rules can increase your cost per result by 20 to 1,000%. Not a typo. One thousand percent. So the question isn’t whether value rules are powerful. They are. The question is whether you know enough about your business data to use them without lighting money on fire. How Value Rules Actually Work (With Examples) The logic is straightforward. Value rules are bid multipliers applied at the audience segment level within Meta’s auction system. Every time your ad is eligible to appear, Meta calculates a Total Value Score: Total Value = (Advertiser Bid x Estimated Action Rate) + Ad Quality + User Value When you set a value rule, you’re adjusting the “Advertiser Bid” component for specific audience segments. A +50% rule means Meta bids 50% higher for people matching that segment. A -40% rule means Meta bids 40% less. What you can target with value rules: Age ranges GenderLocation (countries, regions, states) Mobile operating system (iOS or Android) Device platform Ad placement (Feed, Stories, Reels, Audience Network, Marketplace) You can combine up to 2 criteria per rule (for example, “women aged 25 to 34” or “iOS users in California”). You can create up to 10 rules per rule set, and up to 6 rule sets per account. Rule priority matters. When a user qualifies for multiple rules, Meta applies only the first matching rule in the sequence. So if Rule 1 is “+20% for women in California” and Rule 2 is “+50% for iOS users,” a woman in California using an iOS device gets the +20%, not the +50%. Order your rules from most specific to least specific. Example 1: E-commerce LTV optimization Your data shows women aged 25 to 44 have an average lifetime value of $850 over 12 months. Your overall average is $530. Women in this age range are worth about 60% more to your business. Setup: Rule 1: Increase bid +60% for Women, Age 25-44 Rule 2: Decrease bid -20% for Men, Age 55-65+ Your current CPA is $45 across all demographics. With the +60% bid increase, you’re willing to pay up to $72 to acquire a woman aged 25 to 44, because her LTV justifies it. Meanwhile, you’re bidding less for a segment that your CRM data shows has a high return rate and low repeat purchase rate. Example 2: Geographic performance differences You run a B2B SaaS product. Leads from major US metro areas convert to paid customers at 3x the rate of leads from smaller markets. Setup: Rule 1: Increase bid +40% for Location: New York, San Francisco, Chicago, Los Angeles, Austin Rule 2: Decrease bid -30% for Location: [lower-converting regions] Meta’s algorithm still reaches all audiences. But it bids more aggressively for impressions in high-converting metros, steering more budget toward the leads that actually close. Example 3: Placement quality differences Your data shows that Feed conversions have 2x the average order value compared to Audience Network conversions. Setup: Rule 1: Increase bid +30% for Placement: Facebook Feed, Instagram Feed Rule 2: Decrease bid -50% for Placement: Audience Network Instead of excluding Audience Network entirely (which reduces the algorithm’s delivery options), you’re deprioritizing it through bid adjustments. Meta will still deliver there when it’s extremely cheap, but your budget concentrates on placements where the conversion quality is higher. How Value Rules Impact Campaign Pacing and Spend This is where things get practical and where most advertisers underestimate the effect. Value rules don’t change your daily budget setting. Your budget stays the same. What changes is how aggressively Meta competes in auctions for specific segments. When you increase bids for a segment, Meta enters higher-priced auctions to reach those people. That means: You win more auctions for that segment. More of your budget goes toward the people you value most. You pay more per impression for that segment. Higher bids mean higher CPMs. Your budget depletes faster if a large portion of your audience matches the high-bid rule. When you decrease bids for a segment, the opposite happens. Meta is less competitive in auctions for those people, which means fewer impressions but lower cost per impression. The net effect on pacing: If your high-value segment is a small portion of your total audience (say, 15%), the pacing impact is manageable. The budget shifts toward that 15% without dramatically changing overall delivery. But if your high-value segment is 60% of your audience and you’re bidding +50%, you’ve effectively increased your average bid across most of your delivery. Your budget will pace faster and may exhaust earlier in the day. What to watch for: Check hourly delivery after activating value rules. If your budget is exhausting by 2 PM instead of running through the full day, your bid increases are too aggressive for your budget. Monitor impression share by segment. Are you actually getting more delivery to the segments you increased bids for? If not, competition might be too high at that bid level. How Value Rules Impact Cost Per Result Let me be blunt about this. Value rules will almost always increase your average cost per result. Meta tells you this outright during setup. The question isn’t “will costs go up?” They will. The question is “will the value of the results go up by more than the cost?” Here’s the math that matters: Without value rules: 100 conversions at $45 CPA = $4,500 spend Average customer value: $530 Total customer value: $53,000 ROAS: 11.8x With value rules (+60% bid for high-LTV segment): 85 total conversions at $55 CPA = $4,675 spend 50 of those conversions are from the high-LTV segment ($850 average value) 35 conversions from other segments ($530 average value) Total customer value: (50 x $850) + (35 x $530) = $61,050 ROAS: 13.1x Fewer total conversions. Higher CPA. But higher total customer value and better ROAS. That’s the trade-off. Value rules sacrifice volume efficiency for value efficiency. If you’re optimizing for top-line conversion count, value rules will look like they’re hurting you. If you’re optimizing for revenue and LTV, they can look very different. Without Value Rules With Value Rules Conversions 100 conversions 85 conversions CPA $45 CPA $55 CPA Avg Value $530 avg value $640 avg value Total Value $53K total value $61K total value ROAS 11.8x ROAS 13.1x ROAS Fewer conversions. Higher CPA. More revenue.  Value Rules vs. Narrow Audience Targeting Before value rules existed, the standard approach for targeting high-value segments was audience fragmentation. You’d create separate ad sets for different demographics, each with its own budget. Women 25 to 34 in one ad set. Men 35 to 44 in another. Different budgets reflecting different segment values. This approach has three problems in 2026: 1. It fragments the learning phase. Each ad set needs 50 conversion events per week to exit learning phase. If you split one campaign into 4 demographic ad sets, each one needs to generate 50 events […]

You finally found the one ad that’s performing. The engagement metrics are great, and the next actionable step that feels natural is duplicating it. Right? Wrong. If you duplicate a Facebook ad that’s been performing, you’ll watch it restart with zero interactions. Zero likes, zero comments, zero shares. That’s because Facebook’s algorithm registers it as a new post, which comes along with a new, unique ID. Think of it as an identity card; each post has its own personal number, and the engagement your ad earned belongs to that number. This is a social proof reset issue. The interactions your ads earned early belong to that phase, so when you scale, everything related to those metrics starts from scratch. Fortunately, there’s a solution to this. Facebook Dark Posts and Post IDs let you run the same ad creative across multiple campaigns, ad sets, and even ad accounts, while preserving the engagement. In this blog, I’ll show you exactly how. We’ll walk through what dark posts are, why post IDs matter for ad performance, and the best methods to use them at scale. Key Takeaways Facebook dark posts are unpublished page posts that only exist as paid placements and never appear on your Page’s public timeline. The Post ID is the identity of the ad creative. All engagement belongs to the post and carries over to every campaign or ad set that references the same Post ID. Duplicating an ad creates a new Post ID and resets social proof to zero, even if the creative is identical. There are four ways to find a Post ID: through Ads Manager, from the post URL in Publishing Tools, via the Facebook Graph API, or through a bulk campaign tool like TheOptimizer’s Campaign Creator. Your Facebook Page must be shared with every ad account you want to reuse a Post ID in. Otherwise, it will silently create a new post instead. What Is a Facebook Dark Post? Let’s kill the jargon first, because “dark post” sounds way more mysterious than it is. A dark post is simply an ad that doesn’t appear on your Facebook Page’s timeline, as other ads do. It appears as a sponsored ad, and it’s officially called an “unpublished page post”. Dark posts show up in the feeds of the audience you’re targeting. They’re invisible to anyone who doesn’t fall in that group. Every Facebook ad you create through Ads Manager is technically a dark post. When you build a new ad, Facebook creates an unpublished post behind the scenes and uses that post as the ad unit. You never see it on your Page because it was never intended to be organic content. Now, the question is, if every ad is already a dark post, why do advertisers specifically choose to create them? Well, one reason is to test multiple ad variations without cluttering the page. Dark posts allow advertisers to experiment with different creatives and see which one gets better results. Another reason is to promote products or services to a specific audience. Dark posts are targeted; you’re showing them only to selected people. For example, if you’re selling a limited-edition perfume for women, there’s no need to display the ad to all audiences when you can target women only. Dark Posts vs. Boosted Posts It’s easy to confuse these two, but they are actually distinct. A boosted post starts as an organic post on your Page. You publish it normally, your followers can see it, and you pay to boost it. The post exists on your Page before the ad does. A dark post is never organic. It was born as an ad and exists solely as a paid placement. This distinction matters because when you boost an organic post, you build on public engagement that grows naturally. When you create a dark post, all engagement is paid-only. What Is a Facebook Post ID and Why Does It Matter? A Facebook Post ID is a unique 15–17-digit number associated with every post on the platform. It allows advertisers to use the same campaign while maintaining the existing engagement; every like, comment, and share. Facebook Post ID impacts social proof. Imagine a user scrolling through their feed and seeing an ad with 847 likes, 130 comments, and a comment section full of people saying, “I bought this and love it.” Now think about the same ad with zero engagement. Same creative, but completely different first impression. The ad with social proof builds credibility before the user has read a single word of copy. It reduces the psychological friction of clicking. And it triggers a subtle yet powerful herd mentality: if all these people are engaging with this, maybe it’s worth my attention. The performance data backs this up: Higher CTR: Ads with visible engagement outperform identical ads with no engagement. Users need validation, and as a result, they’re drawn to content that others have engaged with. Lower CPMs: Facebook’s algorithm rewards engagement. High-engagement posts get shown to more people at lower cost, so the algorithm interprets engagement as a quality signal. Better conversion rates: Social proof carries over into the purchase decision. An ad that feels trusted and credible before the click generates warmer traffic than one that feels brand new. Cross-campaign consistency: When you’re testing in one campaign and scaling in another, using the same Post ID means you’re not reinventing the wheel. The testing phase builds the social proof, and the scaling leverages it. How to Find a Facebook Post ID There are a few simple methods to find a Post ID: Method 1: From Ads Manager This is the most common approach for advertisers who aren’t running at a massive scale. Open Ads Manager and navigate to the ad level Click Edit on the ad you want to find the Post ID for Under “Ad Creative,” look for “Use Existing Post”; the Post ID is displayed there Alternatively, click the ad preview link and extract the Post ID from the URL Method 2: From the Facebook Post Directly Navigate to your Facebook Page Find the dark post via the Page’s Ad Posts section (under Publishing Tools) Click on the post’s timestamp to open it in a new tab The URL will contain the Post ID in this format: facebook.com/[page]/posts/[POST_ID] Method 3: Using the Facebook API This method is mostly for technical teams managing creative libraries at scale. Facebook’s Graph API provides programmatic access to your Page’s posts, including dark posts, but you need to use the correct endpoint. The standard /feed endpoint only returns published posts and will miss your ad creative entirely. Use /promotable_posts instead: GET https://graph.facebook.com/v20.0/{page-id}/promotable_posts ?access_token={page-access-token} &fields=id,message,created_time,is_published Setting is_published=false filters for unpublished posts only, which is exactly where your dark posts live. The id field in each result is your Post ID. Method 4: From a Bulk Campaign Creation Tool Manual Post ID retrieval from the methods above works great when you’re doing it occasionally. But when launching many campaigns per week, they’re inefficient. TheOptimizer’s Campaign Creator is built specifically for this kind of scale: launching multiple campaign variations across multiple ad sets. It includes a dedicated space for the Post ID, which you can paste once, and it’s automatically applied across ad sets. Every creative stored in the Creative Library retains its associated Post ID. When you move a winning creative into a new campaign, its Post ID comes along automatically. This keeps the social proof you built during weeks of testing. No one has to remember to look it up. For agencies running campaigns across multiple client accounts, the tool also supports cross-account campaign cloning. When you clone to a new account, the Post ID connection is preserved, so you don’t have to start from scratch. How to Use Existing Post IDs Across Campaigns Once you have a Post ID, the workflow is straightforward: 1. Create a new campaign. Configure all the settings like you normally would. 2. Configure your ad set. At the ad set level, the ‘dark’ part starts to take shape. You’re defining who will see your ad, while everyone outside that audience won’t see it at all. 3. Select “Use Existing Post”. This is a key step. When creating any future campaign with an existing creative, select “Use Existing Post”. In Ads Manager, at the ad creation level, you’ll see two options: Create Ad and Use Existing Posts. Create Ad builds a brand new dark post […]

Everything You Knew About Creative Testing Is Wrong Now! Two years ago, the winning playbook looked like this: find one killer image, write 10 headline variations, split them across 5 interest-based ad sets, and let the winner emerge. Rinse and repeat. That playbook is dead. And the people still running it are the ones posting on Reddit asking why their CPMs doubled overnight. Here’s what happened: Meta deployed Andromeda globally between late 2025 and January 2026. It’s not a minor tweak. It’s a ground-up rebuild of how ads get matched to users. The old system started with your audience selections. Andromeda starts with your creative. It reads the visual, the audio, the copy. It decides who should see it. Your targeting inputs are suggestions at best. The result? Brands testing 20+ new ads per month are seeing 65% higher ROAS than brands testing under 10. The top-performing advertisers run roughly 395 live ads versus 296 for the bottom third. Creative volume and creative diversity are now the primary scaling levers. But “test more creatives” isn’t a strategy. You need to understand what Andromeda actually looks at, what GEM does with that information, and how to build a testing system that feeds the machine the right signals. That’s what this article covers. The Andromeda Pipeline: How Your Ads Actually Get Delivered Before we talk about testing, you need to understand the delivery pipeline. This breakdown from Search Engine Land is the best plain-language explanation I’ve seen, and here’s my condensed version. When someone opens their feed, three AI systems work in sequence to decide what they see: Stage 1: Retrieval (Andromeda) Andromeda scans tens of millions of eligible ads and pulls out roughly 1,000 candidates for this specific user at this specific moment. It does this by analyzing your creative using computer vision and AI audio analysis, then matching it against the user’s behavioral patterns and intent signals. This is the make-or-break stage. If Andromeda doesn’t pull your ad into the shortlist, you don’t exist in that auction. Your budget, your bid, your targeting, none of it matters. You need to get through the gate first. Stage 2: Ranking (Meta Lattice) Those ~1,000 candidates enter the ranking stage. Lattice calculates expected value for each one: eCPM, predicted CTR, conversion probability, competitive bids. It picks the winner. According to Meta’s engineering team, Lattice delivered 10% metric gains and 6% conversion improvements. Stage 3: Learning (GEM) GEM (Generative Engagement Model) is the feedback engine. It’s 4x more efficient at driving performance than what came before. When someone converts (or doesn’t) after seeing your ad, GEM uses that outcome to improve future predictions. It also fills signal gaps when privacy restrictions block data by comparing your ad’s performance against billions of historical data points. What this means for you as a buyer: Andromeda decides IF your ad gets a chance. Lattice decides WHO wins. GEM decides how the system LEARNS from the result. Your job is to give Andromeda enough diverse creative signals so your ads pass the retrieval gate across many different user segments. Not just one. The Entity ID Problem (And Why 30 Ads Can Count as 1) This is the concept that changed how I think about creative production. And it’s the one most buyers still haven’t internalized. Andromeda doesn’t look at your ad count. It looks at conceptual uniqueness. Meta assigns each creative an internal identifier called an Entity ID based on its visual fingerprint. If you upload 30 ads that share the same template, same background, same visual structure with different text overlays, Andromeda collapses them into one Entity ID. One Entity ID = one ticket to the retrieval auction. If that single ticket fails for a particular user segment, your other 29 “different” ads never get a chance. They don’t exist in that auction. Performance data from admetrics.io suggests Creative Similarity Scores above 60% trigger retrieval suppression. 303 London’s diversity guide recommends keeping the index below 40%. This is huge. It means the old approach of “take winning image, test 15 headlines” actively hurts you now. Meta’s visual recognition models see an image with slightly different text overlays as essentially the same image. According to Social Media Examiner’s breakdown of the algorithm changes, if the system perceives a lack of diversity, it punishes your account with higher CPMs. The practical framework for ensuring unique Entity IDs. Before you build a new creative, ask three questions: Is the message different from what’s already running? Is the visual execution different (not just text on the same template)? Is the format different (static vs video vs carousel vs UGC)? If the answer is “no” to at least two of those, you’re probably getting grouped under an existing Entity ID. GEM, Lattice, and What They Mean for Your Testing Most articles about Andromeda stop at “creative is targeting now.” That’s true but incomplete. GEM and Lattice add two layers that directly affect how you should design tests. GEM learns from context, not just clicks. GEM doesn’t just track whether someone clicked or converted. It models the entire user journey. As this Medium breakdown explains, GEM compares your ad’s performance against billions of historical data points to estimate directional lift, even when privacy restrictions block the direct signal. For testing, this means early signals matter more than they used to. GEM starts forming opinions about your creative within the first few hundred impressions. A bad hook doesn’t just waste those impressions. It teaches GEM that your creative isn’t worth showing, and the system deprioritizes it going forward. Lattice evaluates across attribution windows. The Logical Position playbook explains that Lattice blends attribution windows at the architectural level. It evaluates success differently for high-ticket leads vs low-friction purchases because the system understands that timing and behavior vary by objective. For testing, this means you need patience with high-consideration products. A creative selling a $2,000 product might look terrible at day 3 but solid at day 14 once the longer attribution window kicks in. Killing it early means you never see the real performance. The Creative Similarity metric. Social Media Examiner reports that Meta now exposes Creative Similarity as a metric in Ads Manager. High similarity = higher CPMs because Andromeda views repetitive content as fatiguing. It also surfaces “Top Creative Themes” so you can see which angles are resonating (humor, social proof, nostalgia, etc.). Fair warning: because these metrics are new, Tara Zirker advises against over-optimizing for a specific score right now. Use them as directional signals, not hard thresholds. The Testing Framework That Works Under Andromeda Here’s the framework I use. It’s not theoretical. It’s what I run on my own campaigns and what I built TheOptimizer’s launching workflow around. Step 1: Build 8 to 12 conceptually distinct creatives. Not variations. Concepts. Use the PDA framework: Persona: Different buyer personas respond to different messages. Desire: Different motivations (save money, save time, look better, avoid risk). Awareness: Where they are in the journey (problem-aware, solution-aware, product-aware). Our guide on creating 10 angles for the same offer walks through this in detail. Step 2: Launch into a testing campaign (ABO). One creative per ad set. Clean data, no internal competition. Equal daily budgets ($20 to $50 per ad set). Broad targeting. Let Andromeda decide who sees what. Same optimization event as your scaling campaign. Step 3: Evaluate after 7 days using multi-metric scoring (see formulas below). Don’t just look at CPA. Under Andromeda, a creative with a high hook rate and decent engagement might be worth keeping even if the CPA is slightly above target on day 7. GEM is still learning. Step 4: Graduate winners to your scaling campaign (CBO). Move proven creatives into a CBO campaign with broad targeting and let Meta allocate budget across the winners. Step 5: Monitor for fatigue. Replace before the cliff. Under Andromeda, fatigue windows have compressed from 6+ weeks to 2 to 3 weeks. Your pipeline needs to be producing replacements before current winners decline. See our article on detecting creative fatigue early for the specific automation rules I use. 6 Custom Formulas for Evaluating Creatives in 2026 CPA alone doesn’t give you the full picture anymore. Here are the formulas I use to score creatives. Some of these I picked up from other buyers in the community, some I developed from looking at my own data patterns. 1. Hook Rate (video) Hook Rate = (3-Second Video Views / […]