Meta Ads Bidding in 2026: Cost Cap vs. Bid Cap (and when to use each)

If you’ve set up a new Meta campaign recently and excluded a placement like Audience Network or Facebook Right Column, you might have noticed something different. Meta now gives you a checkbox that says: Up to 5% of your budget is spent for each excluded placement when it’s likely to improve performance. And that checkbox is turned on by default. That means when you exclude a placement, Meta doesn’t fully exclude it anymore. Not unless you go back and manually uncheck that box. Your “excluded” placement can still receive up to 5% of your ad set budget. And that 5% applies per excluded placement, not total. If you’ve excluded 4 placements, that’s potentially 20% of your budget going to places you specifically said you didn’t want. As PPC Land documented when the feature first appeared: “Campaigns with multiple placement exclusions could see significantly more than 5% of total budget directed to placements advertisers intended to avoid.” This is part of Meta’s broader push toward algorithmic control over placement delivery. They’ve been steadily removing manual controls since 2024: detailed targeting exclusions were eliminated in January 2025, Dynamic Media was enabled by default for Advantage+ Catalog ads by October 2025, and now placement exclusions have this soft override baked in. The logic from Meta’s side makes sense. Their data shows that Advantage+ Placements (where Meta chooses everything) generally delivers lower cost per result because the algorithm has maximum flexibility to find cheap impressions wherever they exist. By sneaking 5% of spend into “excluded” placements, Meta is trying to prove that those placements can contribute to your results. The problem is that many advertisers exclude placements for good reasons: brand safety concerns with Audience Network, low-quality traffic from specific surfaces, or simply because they’ve tested those placements and they don’t convert for their offer. A default opt-in that overrides those decisions without clear notice is frustrating. Let me walk you through how to actually control your placements in 2026. How Placement Control Works at the Ad Set Level At the ad set level, you have two options: Advantage+ Placements (default). Meta decides where your ads run across all 25+ placement options. You give up control, and the algorithm finds the cheapest impressions. This is what Meta recommends for most advertisers, and honestly, for purchase-optimized campaigns with strong pixel data, it often works fine. The algorithm is good at finding cost-efficient impressions. Manual Placements. You choose exactly which platforms (Facebook, Instagram, Messenger, Audience Network) and which surfaces within them (Feed, Stories, Reels, Marketplace, Search Results, etc.) your ads appear on. This gives you full control. When you select Manual Placements and deselect specific placements, this is where the 5% spending feature kicks in. After you exclude placements, look for the checkbox that allows Meta to spend limited budget on those excluded surfaces. It may appear as a recommendation or as a checked option within the placement settings. The catch: This feature currently applies to Sales and Leads campaign objectives. If you’re running Traffic, Engagement, or Awareness campaigns, the behavior may differ. Check your specific campaign setup to confirm. For campaigns where you’re testing which placements work, leaving Advantage+ Placements on makes sense. You let Meta explore, collect data, and then review the breakdown reports to see which placements actually convert. But once you have that data and know that certain placements don’t work for you, switching to Manual Placements with genuine exclusions is a reasonable choice. Just make sure the 5% override isn’t silently undermining your exclusions. How Placement Control Works at the Account Level Meta also offers account-level placement controls. These apply to every campaign in the account, so you don’t need to remember to exclude specific placements each time you create a new campaign. To access account-level placement controls: Go to Advertising Settings in your Meta Ads Manager Select Placement Controls Toggle on “My business can only advertise on specific placements“ From here, you can exclude: Audience Network (ads on third-party apps and websites) Facebook Marketplace Facebook Right Column These account-level controls are separate from the ad set level placement selections. When you set an exclusion at the account level, it overrides any ad set level settings. Even if someone on your team creates a new campaign with Advantage+ Placements, the account-level exclusion will still apply. This is the cleanest way to permanently block a placement across your account. No checkboxes to worry about. No 5% overrides. The placement is simply off. However, if you want to exclude any specific placement like for example “Ads on Facebook Reels”, then you have to do this at the ad set placement control settings. When to use account-level exclusions: You’ve tested Audience Network extensively and it consistently delivers low-quality traffic for your business Your brand has content adjacency requirements that Audience Network can’t satisfy You have compliance or regulatory reasons that require restricting where your ads appear You want a “set it and forget it” solution that applies to all current and future campaigns Important: Account-level placement controls are only available for Auction campaigns. If you are running Reach and Frequency campaigns, then you need to manage your placement selection under your ad set placement control settings. Steps to Completely Remove a Placement If your goal is to fully block a placement with zero spend leaking through, here’s the process. Option A: Account-Level Block (Recommended for Permanent Exclusions) Open Meta Ads Manager Go to Advertising Settings (gear icon > Advertising Settings) Click Placement Controls Toggle on “My business can only advertise on specific placements“ Uncheck the placements you want to block (Audience Network, Marketplace, Right Column) Click Review Changes and then Apply Wait up to 48 hours for changes to take effect across existing campaigns This is the safest method to get rid of Audience Network, Marketplace, Right Column. It applies to everything in the account and isn’t affected by the 5% spend checkbox at the ad set level. For additional placements, consider option B. Option B: Ad Set Level Block (For Per-Campaign Control) Create or edit your campaign At the ad set level, scroll to Placements Click on Show more settings to make Placement controls visible. Click and expand Placement controls Uncheck the placements you want to exclude. Look for a checkbox saying “Allow limited spending to excluded placements“. This is the option that allows Meta to spend up to 5% on excluded placements and will appear only after excluding placements. Uncheck this box. Save and publish If you don’t uncheck the box on step 6, your “excluded” placements will still receive up to 5% of your ad set budget each. Option C: Combine Both for Maximum Protection Use account-level controls to permanently block placements you never want (like Audience Network), and use ad set level controls for per-campaign adjustments (like excluding Stories for a campaign that doesn’t have vertical creative). How TheOptimizer Handles Placement Optimization Automatically Here’s the approach I recommend for experienced buyers who want the best of both worlds: algorithmic flexibility for discovery, automated protection against waste. Instead of manually excluding placements upfront (which limits Meta’s ability to find cheap impressions), start with Advantage+ Placements or a broad manual placement selection. Let Meta explore. Then use automation rules to cut underperforming placements based on actual data. TheOptimizer connects to Meta’s API and lets you build rules that automatically block placements based on performance thresholds. Here’s what that looks like: Rule: Block Underperforming Placements IF Placement Spend > $X AND Placement CPA > Target CPA by 30% AND Placement Conversions < Y THEN Block Placement Run every 10 to 30 minutes This rule gives every placement a fair chance to prove itself. If a placement spends meaningful budget and doesn’t convert at an acceptable rate, it gets blocked automatically. No manual checking. No forgetting to review placement breakdowns. Why this is better than pre-excluding placements? You don’t miss hidden winners. Sometimes a placement you’d normally exclude turns out to work well for a specific creative or audience. Automated rules let it run until the data says otherwise. You respond to real data, not assumptions. Excluding Audience Network because “everyone says it’s bad” ignores the fact that for some offers and verticals, it converts at a very low CPC. Let the data decide. You handle the 5% problem automatically. Even if Meta’s 5% override sneaks spend into an excluded placement, your automation rules will catch it if that spend doesn’t convert. The placement gets blocked based […]

Before getting into budget sharing, let’s make sure the foundation is clear. Meta gives you two places to set your budget: at the campaign level or at the ad set level. Campaign Budget (CBO / Advantage+ Campaign Budget): You set one budget for the entire campaign. Meta distributes that budget across your ad sets automatically based on where it predicts the best results. This means Meta might put 70% of your budget into one ad set and 10% into another if it believes that’s where the conversions are. You give up control over per-ad-set spend in exchange for Meta’s optimization. Ad Set Budget (ABO): You set a separate budget for each ad set. Each one gets its own fixed daily amount. If Ad Set A gets $100/day and Ad Set B gets $100/day, that’s what they’ll spend (roughly), regardless of which one is performing better. CBO is good when you want Meta to chase performance across ad sets. ABO is good when you want controlled testing with equal spend per audience or creative. Use campaign budget when you have multiple ad sets and want Meta to push more spend toward the stronger one. Use ad set budget when you want stricter control, cleaner tests, or you need to protect spend across audiences. The problem with ABO has always been that it’s rigid. One ad set might be performing well and hitting its budget cap by 2 PM, while another is barely spending and delivering weak results. Your budget is locked on both sides. The strong ad set can’t spend more, and the weak one keeps spending its allocation anyway. Ad set budget sharing is Meta’s attempt to fix that rigidity without going full CBO. What Is Ad Set Budget Sharing? Ad set budget sharing is a feature that lets Meta redistribute up to 20% of one ad set’s daily budget to another ad set within the same campaign when it predicts better performance. According to Meta’s documentation: “We’ll share up to 20% of your ad set budget with other ad sets within this campaign when it’s likely to improve performance.” Here’s how it works in practice. Say you have two ad sets in a campaign, each with a $100/day budget: Without budget sharing: Each ad set spends up to $100. Total possible spend: $200. With budget sharing: If Meta believes Ad Set A has better opportunities, it can take up to $20 from Ad Set B’s budget and shift it to Ad Set A. Ad Set A now has up to $120. Ad Set B has $80. Total campaign spend stays the same. It’s a middle ground. You still set individual ad set budgets (unlike CBO where Meta controls everything), but you give the algorithm a little room to shift money toward what’s working. LeadEnforce’s analysis describes it well: “Budget sharing allows Meta to move up to 20% of one ad set’s daily budget into another active ad set inside the same campaign. The total campaign spend does not increase. Meta simply redistributes part of the budget toward stronger opportunities in real time.” This relates directly to the campaign structure decisions we covered in our campaign structure best practices guide. If you’re running ABO for creative testing, budget sharing adds a layer of flexibility that can improve your results without giving up the control that makes ABO useful for testing in the first place. When Is Budget Sharing Active (and When to Keep It On) Budget sharing appears as a checkbox when you’re using ad set budgets with two or more ad sets. In some accounts, it’s checked by default on new campaigns. In others, it’s opt-in. Check your ad set settings to confirm. Keep it on when: You’re running multiple ad sets that target similar or overlapping audiences and you want Meta to lean into whichever one is performing better on a given day. You’re in a scaling phase and want slightly more algorithmic flexibility without fully switching to CBO. You’re running broad targeting with diverse creatives across ad sets and want the budget to follow performance. Think of it as ABO with a soft CBO layer on top. You still control the base budget per ad set. But Meta gets permission to move up to 20% around based on real-time performance signals. For campaigns where you want the algorithm to have room to optimize but you’re not ready to give up ad set level budget control entirely, budget sharing is a solid option. How and When to Disable Ad Set Budget Sharing Disabling is simple. Go to your campaign settings, find the budget sharing checkbox, and uncheck it. When to turn it off: During controlled A/B tests. If you’re testing two audiences or two creative sets against each other, you need equal spend per ad set. Budget sharing breaks that controlled environment by shifting money toward whichever ad set shows early signals, which can skew your test results before you have enough data. When testing bidding strategies. If you’re comparing cost cap vs. bid cap across ad sets (which we covered in our bidding strategies article), budget sharing can muddy the results. One ad set getting 20% more budget than the other makes it hard to attribute performance differences to the bidding strategy alone. When you have very different audience sizes across ad sets. If Ad Set A targets a broad audience and Ad Set B targets a small retargeting list, budget sharing might drain the retargeting budget toward the broader audience since it has more opportunities. That’s not necessarily better. Your retargeting audience might have higher conversion quality even if it can’t absorb more spend. When you’re running TheOptimizer’s automation rules on per-ad-set budgets. If you’ve set up automation rules that adjust budgets based on ad set performance (for example, increasing budget by 20% when ROI is stable), budget sharing might affect the total spend of the ad set. The rule changes the budget based on the ad set’s performance, but in the meantime Meta is silently shifting 20% to or from that ad set. The two systems can work against each other. For campaigns managed through TheOptimizer, I generally recommend disabling budget sharing and letting the automation rules handle budget allocation instead. TheOptimizer’s rules run every 10 minutes with explicit logic you’ve defined, whereas budget sharing operates on Meta’s internal predictions with no transparency into why it shifted the money. The Impact on Campaign Spend This is the part most people miss. Budget sharing doesn’t just move money between ad sets. It can also affect how much you spend on a given day. Segwise’s budget analysis found a critical detail: “If you have turned on ad set budget sharing, you may spend up to 75% over the total of your daily budget plus the maximum shared budget per day.” That’s worth reading twice. Without budget sharing, Meta can already spend up to 25% over your daily ad set budget on high-opportunity days (a $100 budget might hit $125). With budget sharing enabled, that overspend cap increases to 75%. So a $100 daily budget with sharing enabled could theoretically hit $175 on a strong day. Meta balances this over a 7-day window. Your weekly spend won’t exceed 7x your daily budget. But the day-to-day fluctuations can be more extreme with sharing turned on. What this means for budget planning: If you set ad set budgets with the expectation that each one will spend roughly its daily amount, budget sharing can introduce surprises. One ad set might spend 40% over its budget on a Tuesday while another spends 30% under. Over the week, it evens out, but on a daily basis the numbers look volatile. For advertisers who need predictable daily spend (client-managed accounts with fixed daily caps, or campaigns where overspend triggers compliance issues), this matters. Turn sharing off and accept the trade-off of slightly less algorithmic flexibility. Control your budgets with precision! TheOptimizer lets you build budget rules that run every 10 minutes across all your Meta ad accounts. Scale winners, protect losers, and maintain the spend control that budget sharing can undermine.   Get Started for Free FAQ Is ad set budget sharing the same as Campaign Budget Optimization (CBO)? No. CBO gives Meta full control over budget distribution across ad sets. Budget sharing still lets you set individual ad set budgets but allows Meta to move up to 20% between them. CBO can put […]

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 […]