Setting a Facebook ad budget without doing the math is basically guessing. You might overspend and burn money on campaigns that could never be profitable, or underspend and starve Meta's algorithm before it has a chance to deliver results.
This guide gives you the formulas, current benchmarks, and calculator framework to set a Facebook ad budget you can actually defend. Not based on vibes or what your competitor might be spending, but on your goals, your unit economics, and how Meta's delivery system actually works.
You'll learn how to calculate the budget needed to hit specific conversion targets, understand the minimum spend required for Meta's learning phase, avoid the most common budgeting mistakes, and choose the right budget structure for your campaign. By the end, you'll have a math-backed budget plan and access to calculator templates that make the whole process repeatable.
How to Calculate Your Facebook Ad Budget: The Formula
If you remember nothing else from this guide, remember this:
That's it. The "hard part" is choosing a target CPA you can actually afford (based on your unit economics) and choosing conversion volume that lets Meta learn effectively.
Quick example: You want 50 purchases per week and can afford $30 per purchase.
• Weekly budget = 50 × 30 = **1,500**
• Daily budget = 1,500 ÷ 7 = **~214 per day**
This formula works because it starts with your goal and works backward to the required spend, ensuring you're not guessing or arbitrarily picking a number.
What Affects Facebook Ads Cost in 2026?
Your budget doesn't buy conversions directly. It buys entries into Meta's auction system, where costs fluctuate based on supply and demand.
Key factors driving your costs:
Competition matters more than you think. If lots of advertisers target the same demographic, expect higher costs. Finance and insurance advertisers pay significantly more per click than retail or app advertisers because competition is fierce. Meta's ad auction incorporates your bid, estimated action rate, and ad quality, so costs vary by industry and audience.
Ad quality is a cost lever. Higher engagement (better CTR, positive feedback) lowers your cost per result. Meta rewards relevant ads with cheaper distribution. A highly relevant ad can cost 50% less per result than a generic one targeting the same audience.
Placement affects pricing. Facebook News Feed typically costs more than Instagram Stories or Audience Network placements. Automatic placements let Meta optimize, but manual selection gives control at the risk of higher costs if you pick expensive inventory.
Seasonality spikes costs. Q4 and holiday periods see auction prices surge as advertisers increase spend. Plan higher CPMs in November-December, or concentrate spend in cheaper months if your business allows it.
Facebook Ad Cost Benchmarks 2026
Here's what you should expect for costs right now (averages across industries):
| Metric | Current Average (2026) | Source |
|---|---|---|
| Cost Per Click (CPC) | ~$0.68 | Industry Research |
| Cost Per Mille (CPM) | ~$12.50 | Industry Research |
| Cost Per Lead (CPL) | ~$21.98 | Industry Research |
| Click-Through Rate (CTR) | 1.71% (traffic), 2.59% (leads) | Industry Research |
| Landing Page CVR | 2-3% (ecommerce), 10-20% (lead forms) | General Benchmarks |
These are starting assumptions. Your actual costs will vary by industry, creative quality, and targeting specificity.
Also, CTR and conversion rate massively impact your effective costs:
• If your CTR doubles from 1% to 2%, you cut required budget roughly in half for the same click volume
• If conversion rate drops from 5% to 2.5%, you need twice the budget to hit the same conversion count
Creative quality and funnel optimization aren't just "nice to have." They're cost variables. Understanding what makes good ad copy and creative testing frameworks can dramatically reduce your effective budget needs.
How to Calculate Facebook Ad Budget: Step by Step
Step 1: Set Your Campaign Goal
Be specific about what you're optimizing for. "I want sales" is vague. "I want 50 purchases per week" is a goal you can budget for.
Common conversion goals:
→ Purchase (ecommerce)
→ Lead (form submission, instant form, on-site lead)
→ App Install
→ Landing Page View (if purchase data is too sparse)
Your optimization event matters because Meta's learning phase is tied to getting ~50 of that specific event per week per ad set. If you optimize for purchases but only get 5 per week, don't expect stable performance.
Step 2: Calculate Your Target CPA
How much can you spend per conversion and still consider it a win? This comes from your product economics.
For ecommerce: start with break-even CPA
• Contribution Margin = (AOV × Gross Margin %) - Variable Costs
• Break-Even CPA ≈ Contribution Margin
Example: 60 AOV, 60% margin, 8 variable costs per order
• Contribution margin = (60 × 0.6) - 8 = $28
• Break-even CPA = $28
Now decide your actual target. If you want $5 profit per order:
• Max Target CPA = 28 - 5 = $23
If you're comfortable with a payback window (betting on LTV), you can set a higher CPA on purpose. But do it consciously.
For lead gen: use revenue per lead
• Break-Even CPL ≈ (Lead→Sale Rate × Revenue per Sale × Gross Margin) - Sales Costs
Example: 10% of leads close, $2,000 gross profit per sale
• Expected gross profit per lead = 0.10 × 2,000 = **200**
• That's your ceiling before overhead and profit goals
Your acceptable CPA/CPL sets the economic boundary for your campaign. Don't skip this step.
Step 3: Estimate Click-Through and Conversion Rates
You need two numbers to connect budget to results:
CTR (Click-Through Rate): What % of people who see your ad click it?
Use 1-2% as a starting assumption for cold traffic. If you have historical data, use your actual median. Industry benchmarks show ~1.71% for traffic campaigns and ~2.59% for lead campaigns.
Conversion Rate: What % of people who click actually convert?
For ecommerce, assume 2-3% (website conversion). For lead forms, assume 10-20% (higher because less friction). Adjust based on your actual data if available.
Be conservative with first-pass assumptions. It's better to budget for 2% conversion and get 3% than the reverse.
Step 4: Run the Budget Calculation
Example 1: Ecommerce Purchase Campaign
Goal: 200 purchases per month (~46 per week)
• AOV: $60
• Gross margin: 60%
• Variable costs: $8/order
• Desired profit: $5/order
Unit economics:
• Break-even CPA = (60 × 0.6) - 8 = $28
• Max target CPA = 28 - 5 = $23
Budget calculation:
• Monthly budget = 200 × 23 = **4,600**
• Daily ≈ 4,600 ÷ 30 ≈ **~153/day**
Learning phase sanity-check (we'll cover this more below):
• To hit 50 purchases/week at 23 CPA: (50 × 23) ÷ 7 ≈ $164/day per ad set
So if you're running multiple purchase ad sets, $153/day total will likely trigger "Learning Limited" warnings. You'd need to consolidate or increase budget.
Example 2: Lead Generation Campaign
Goal: 30 leads per week
• Target CPL: $27.66 (starting with industry average)
Budget calculation:
• Weekly = 30 × 27.66 = **830**
• Daily = 830 ÷ 7 = **~119/day**
Learning note: 30 events/week is below the 50 events/week threshold, so expect more volatility. You might need to optimize for a higher-volume event (like landing page view) until you can scale.
Using funnel math when you don't have a CPA yet:
If you're launching something brand new, work from the top down:
Rearrange to solve for budget:
Example: You want 50 conversions, assume $12 CPM, 1.5% CTR, 3% CVR
• Budget = 50 × $12 ÷ (1000 × 0.015 × 0.03)
• Budget = 600 ÷ 0.45 = **~1,333**
This formula shows what actually drives cost. If CTR doubles, required budget halves. If CVR drops by half, required budget doubles. If CPM spikes in Q4, required budget increases even if everything else stays steady.
What Is Facebook Learning Phase and Minimum Budget?
Meta's algorithm needs data to optimize your campaign. According to Meta's guidance, ad sets typically exit the learning phase after about 50 optimization events in the week after the last significant edit.
This isn't a suggestion. It's a threshold that determines whether you get stable, optimized delivery or unstable, "Learning Limited" performance.
What Does Learning Limited Mean on Facebook Ads?
When an ad set can't get 50 events per week, Meta shows a "Learning Limited" status.
Translation: The algorithm doesn't have enough signal to confidently optimize, so results will be unpredictable and likely more expensive.
You might see:
• Unstable CPMs and CPAs
• Random day-to-day swings
• Limited delivery (not spending full budget)
• Winners that don't replicate when you try to scale
Minimum Facebook Ad Budget Per Ad Set
Here's a quick reference for the daily budget needed per ad set to hit that 50 events/week threshold:
| Target CPA | Min Daily Budget Per Ad Set (≈50/wk) |
|---|---|
| $10 | ~$72/day |
| $20 | ~$143/day |
| $30 | ~$214/day |
| $50 | ~$357/day |
| $100 | ~$714/day |
Formula: (50 × CPA) ÷ 7 = minimum daily budget per ad set
Real-world translation: If you're running **5 ad sets targeting purchases at 30 CPA**, "fully learned" spend is 5 × 214 = ~$1,070/day total.
If you only have $200/day, you shouldn't split it across 5 purchase ad sets. You'll starve everything.
How Many Facebook Ads Should You Run at Once?
This is the single biggest budgeting mistake we see (and one AdManage helps teams avoid through better ad organization):
Meta needs signal. If budgets are too low per ad set, you get limited delivery, unstable performance, and random "winners" that don't replicate. Each ad set is basically starving. Understanding how many Facebook ads you should run at once prevents this common trap.
Better approach: Consolidate structure until each learning unit has enough spend to actually learn. Start with 1-3 ad sets maximum if you have limited budget. Scale complexity later once you've identified what works.
Quality beats quantity. Running 3 well-funded ad sets will outperform 10 underfunded ones.
Facebook Daily Budget vs Lifetime Budget: Which Is Better?
When setting up a Facebook campaign, you choose between daily and lifetime budgets. Neither is inherently better. It depends on your use case.
What Is Daily Budget on Facebook Ads?
You tell Meta exactly how much to spend per day (e.g., $50/day). The system tries to spend roughly that amount each day, though there's flexibility (more on that below).
Use daily budgets when:
• You're running always-on campaigns with no fixed end date
• You want consistent spend and results day after day
• You need flexibility to adjust budget up or down easily
• You're actively testing and tweaking regularly
Example use case: Evergreen lead gen campaign where you want ~10 leads per day consistently.
What Is Lifetime Budget on Facebook Ads?
You tell Meta the total amount to spend for the entire campaign and set start/end dates. Meta paces spending automatically across that period (some days more, some less, but won't exceed total).
Use lifetime budgets when:
• You have time-bound campaigns (promotions, events, product launches)
• You need strict total spend caps
• You want ad scheduling (dayparting) to run ads only at certain times
• You're running a fixed campaign window and care more about total spend than daily consistency
Example use case: Month-long promotion with a hard $5,000 budget cap, running ads only 6pm-10pm when your audience is most active.
Why Did Meta Spend More Than My Daily Budget?
Here's something that surprises many advertisers: Meta can overspend your daily budget on high-opportunity days.
What this means with real numbers:
You set $200/day:
• Meta could spend up to **350** on a strong day (200 × 1.75)
• But should cap weekly spend around **1,400** (200 × 7)
This flexibility was increased from 25% to 75% in Meta's Graph API v24 announcement. Don't be alarmed if you see higher spend on individual days. It averages out weekly.
If you need strict daily caps, lifetime budgets with short date ranges give more control.
Daily vs Lifetime Budget: Quick Decision Guide
| Situation | Recommended Budget Type |
|---|---|
| Always-on campaigns | Daily |
| Fixed promotions/events | Lifetime |
| Need ad scheduling | Lifetime |
| Actively testing/tweaking | Daily |
| Strict total spend cap | Lifetime |
| Want even daily pacing | Daily |
Facebook CBO vs ABO: How to Split Your Budget
Beyond the raw dollar amount, how you distribute budget within your campaign structure is strategic. Meta gives you two options:
What Is ABO (Ad Set Budget Optimization)?
You set budgets at the ad set level. Each audience gets its own budget that you specify (e.g., 20/day on Audience A, 30/day on Audience B).
This guarantees each ad set spends the amount you set, ensuring every test or target segment gets a fair share of spend.
When to use ABO:
→ Creative testing where you want exactly $50 on each ad to compare performance evenly (see our Facebook Ads A/B testing guide)
→ Audience testing with strict spend splits
→ Geographic constraints (country budget caps, market allocation)
→ Any situation requiring control over spend distribution
The trade-off: you manage budgets manually. If one audience clearly outperforms, you'd have to notice and reallocate yourself.
Think of ABO like manual transmission: more work, but you control exactly where power goes.
What Is CBO (Campaign Budget Optimization)?
Now called "Advantage Campaign Budget" by Meta, this approach sets budget at the campaign level and lets Meta's algorithm distribute across ad sets dynamically.
You might set **100/day for a campaign with 5 ad sets**. Meta decides each hour how to split that 100 based on which ad set is performing best. One might get 70, another only 5, changing over time as performance evolves.
When to use CBO:
→ Scaling winners after you've tested and identified top performers
→ Less micromanagement (you manage one budget instead of many)
→ Trusting Meta's AI to find best opportunities automatically
→ Campaigns with similar ad sets where you want dynamic allocation
The advantage is automatic optimization. If one audience or creative is a breakout hit, CBO funnels more budget there and reduces spend on poor performers.
CBO is like automatic transmission: easier, but you give up some control over exact allocation.
CBO vs ABO: Best Strategy for Facebook Ads
Most sophisticated advertisers use both strategically:
① Phase 1 - Testing: Use ABO to give each creative or audience equal budget. Gather clean data on what actually works.
② Phase 2 - Scaling: Move proven winners into a CBO campaign with larger budget. Let Meta optimize distribution in real-time to maximize conversions.
As we've documented, this approach balances control during testing with efficiency during scaling. Understanding how to identify winning ads faster makes this transition smoother.
What Is Cost Per Result Goal on Facebook Ads?
If you use Meta's "cost per result goal" feature (bidding with a target CPA), note that Meta recommends your daily budget should be at least 5× your cost per result goal amount.
Example: Your goal CPA is 40** → recommended daily budget: **≥ 200/day
If you ignore this, you'll often see under-delivery and unstable results. You're basically saying "hit this cost target" while giving the system no room to find volume.
How AdManage Helps You Execute Your Budget Efficiently
You've done the math. You know how much to spend. Now comes the real challenge: actually executing campaigns at scale without drowning in manual work.
This is where budget efficiency meets execution reality.
The Execution Bottleneck
Knowing you need to spend $5,000/week is one thing. Launching 100+ ad variations with proper naming conventions, UTM parameters, creative grouping, and Post ID preservation across multiple markets and placements is another.
Manual execution in Ads Manager becomes the bottleneck. Even with a perfect budget plan, if you can only launch 20 ads per week when you need to test 200, you'll never find the breakthrough creatives that justify scaling that budget. Learn how to automate Facebook ad creation to solve this.
How We Help Teams Maximize Their Ad Budget ROI
AdManage is built specifically for performance marketers who need to launch hundreds or thousands of ad variations efficiently:
Bulk launching to Meta and TikTok
Launch the same creative set across platforms, auto-grouped by aspect ratio, with bulk preview links for approvals. No more copy-pasting campaign settings 50 times. Understand how to create multiple ads on Facebook at scale.
Naming and UTM enforcement
Dynamic naming conventions that fit your schema, account-level UTM rules, and creative enhancement toggles set per account. Every ad launches with consistent structure your analysts can actually track.
Post ID preservation for scaling winners
When you find a winning ad and want to scale it, preserve the social proof. Our explicit Post ID support ensures engagement counts carry over when you expand budget on proven creatives.
Creative grouping and multi-market support
Launch with templates, translation for multi-market campaigns, and asset sync. Test at volume without the execution overhead. Learn how many ad creatives to test based on your budget.
Real Proof Points
In the last 30 days alone, AdManage users have:
• Launched approximately 494,000 ads
• Processed approximately 71,950 batches
• Saved approximately 37,087 hours in manual execution time
That's production-scale creative testing. When you know your budget supports testing 500 variations to find the 5 winners, you need tools that make that volume possible. See our live stats and leaderboard for real-time proof.
Free Tools to Plan Your Budget
Before you commit to anything, use our free calculators to model your spend:
• Facebook Ad Cost Calculator: Estimate impressions, clicks, leads, and sales based on your objectives and assumptions
• Creative Testing Calculator: Plan creative volume so your budget has enough variations to find statistical winners
And when you're ready to execute at scale, see our pricing: £499/month for in-house teams, £999/month for agencies, with unlimited launches and team members.
Facebook Ads Budget Mistakes to Avoid
Even with the formulas and benchmarks, certain budget mistakes kill campaign performance. Watch out for these:
Setting budget too low for the learning phase
If your budget can't generate ~50 optimization events per week per ad set, you're fighting Meta's algorithm instead of working with it. Either consolidate ad sets or increase budget. Understanding why Facebook ads aren't delivering helps diagnose this.
Splitting budget across too many ad sets or ads
As noted earlier: quality beats quantity. Running 3 well-funded tests outperforms 20 starved ones. Focus your spend using proper ad organization.
Ignoring unit economics
Spending 50 to acquire a customer** who generates **40 lifetime profit is a slow path to bankruptcy. Always know your break-even CPA and target below it.
Not accounting for daily budget flexibility
Meta can spend 75% over your daily budget on strong days. If a $200/day overspend would create cash flow issues, use lifetime budgets with tighter date windows.
Using cost caps with insufficient budget
Setting an aggressive cost cap (20 CPA**) with a tiny budget (**50/day) often results in limited delivery. You need room for Meta to find volume at your target cost.
Never updating assumptions with real data
After 7-14 days, replace benchmark guesses with your actual median CPC, conversion rate, and CPA. Then recalculate your budget needs based on reality.
Confusing awareness metrics with conversion metrics
High impressions and clicks don't matter if conversions are terrible. Budget for the outcome that drives business results, not vanity metrics.
Not killing underperforming ads quickly enough
Know when to kill a Facebook ad to avoid wasting budget on poor performers. Watch for creative fatigue and reallocate budget to fresh creatives.
Facebook Ads Budget Quick Reference Guide
Key Formulas
| Formula | Purpose |
|---|---|
| Weekly Budget = Conversions × CPA | Calculate required spend from goal |
| Daily Budget = Weekly Budget ÷ 7 | Convert to daily spend |
| Learning Budget = (50 × CPA) ÷ 7 | Minimum per ad set for learning phase |
| Conversions = (Budget ÷ CPM) × 1000 × CTR × CVR | Project results from budget |
Current 2026 Benchmarks
| Metric | Benchmark | Use For |
|---|---|---|
| CPC | ~$0.68 | Click volume planning |
| CPM | ~$12.50 | Impression-based calculations |
| CPL | ~$21.98 | Lead gen budget estimates |
| CTR | 1.71% (traffic), 2.59% (leads) | Funnel math assumptions |
| CVR | 2-3% (ecom), 10-20% (leads) | Conversion estimates |
Daily vs. Lifetime Decision Tree
| Choose Daily if: | Choose Lifetime if: |
|---|---|
| Always-on campaign | Fixed campaign window |
| Need flexible adjustments | Need ad scheduling |
| Want consistent daily pacing | Strict total spend cap |
Budget Planning Checklist
Before launching:
- Goal defined clearly (50 purchases/week, 100 leads/month, etc.)
- Acceptable CPA calculated from unit economics
- Funnel metrics estimated (CTR, CVR)
- Required budget calculated and approved
- Ad set structure supports learning phase (≥50 events/week per ad set)
- Budget type chosen (daily vs. lifetime)
- Allocation strategy decided (CBO vs. ABO)
- Tracking and naming conventions set up
When to Adjust Budget
Increase budget when:
• CPA is well below target and volume is capped
• You're in "Learning Limited" and need more spend per ad set
• Winning ad sets are hitting delivery limits
Decrease budget when:
• CPA is consistently above target despite optimization
• You're not getting sufficient ROI to justify current spend
• Creative fatigue is setting in (high frequency, declining performance)
FAQ: Facebook Ads Budget Questions Answered
What's the minimum Facebook ads budget?
Meta technically allows very low budgets (as little as $1/day), but minimum viable is different from "minimum allowed."
If you want stable conversion optimization, work backward from ~50 conversions per week per ad set and your target CPA. For example, at **20 CPA**, that's (50 × 20) ÷ 7 = ~$143/day per ad set minimum.
For brand awareness or reach campaigns, you can operate with lower budgets since the optimization event (impressions) is high-volume.
Why did Meta spend more than my daily budget?
Because daily budgets have flexibility. Meta may spend up to 75% over your daily budget on some days while staying within a weekly cap of 7× your daily budget.
Example: a 100/day budget** could spend up to **175 on a strong day but should cap around $700 for the week.
This flexibility increased from 25% to 75% in 2025. If you need stricter daily control, use short-duration lifetime budgets instead.
Should I use CBO or ABO?
Use ABO (Ad Set Budget Optimization) when:
• You're testing creatives or audiences and need equal spend on each
• You have strict geographic or segment allocation requirements
• You want full control over budget distribution
Use CBO (Campaign Budget Optimization) when:
• You've validated winners and want to scale
• You trust Meta to optimize spend across ad sets
• You want less manual budget management
Many advertisers use a hybrid: ABO for testing, CBO for scaling proven performers.
How do I calculate budget if I don't know my CPA yet?
Use funnel math with benchmark assumptions:
Budget = Conversions × CPM ÷ (1000 × CTR × CVR)
Start with industry benchmarks ($12 CPM, 1.5% CTR, 3% CVR), calculate required budget, then update with your actual data after 7-14 days.
Or use the inverse: set a test budget ($500), run for a week, measure actual CPA, then recalculate what budget you'd need for your full goal. Use our Facebook Ad Cost Calculator to model different scenarios.
What if my budget is too low for 50 events/week?
You have a few options:
① Optimize for a higher-volume event
If purchases are too sparse, optimize for "Add to Cart" or "Landing Page View" instead. Get volume to exit learning phase, then shift to purchase optimization once you scale budget.
② Consolidate ad sets
Instead of 5 ad sets with 30/day each**, run **1-2 ad sets with 75-150/day each. Broader targeting, more budget per set. See how to organize Facebook ads for structure guidance.
③ Lengthen your timeframe
Accept that it will take longer to get statistically significant results. Run for 2-3 weeks instead of 1 week.
④ Increase budget
If possible, allocate more to hit the 50 events/week threshold. Performance typically improves enough to justify it.
How often should I adjust my budget?
During learning phase (first 50 conversions): Avoid changes if possible. Each "significant edit" resets the learning phase clock.
After stabilization: Review weekly. Increase budget gradually (≤20% at a time) to avoid re-triggering learning. Decrease immediately if performance deteriorates.
For seasonal campaigns: Adjust ahead of known high/low periods (Q4, holidays, industry-specific cycles).
Does higher budget guarantee better results?
No. Budget buys auction entries, not conversions.
Higher budget gives Meta more room to find opportunities, but if your creative is weak or targeting is off, you'll just spend more on poor performance.
Budget should scale with proven performance, not be thrown at unvalidated campaigns hoping for magic. Learn how to run a successful Facebook ad campaign before scaling spend.
What's the difference between budget and bid?
Budget is how much total money you're willing to spend (daily or lifetime cap).
Bid is how much you're willing to pay per auction entry or result.
You can have a 1,000 daily budget** with a **20 bid cap. Meta will spend up to 1,000/day but won't bid more than 20 per result in the auction.
Most advertisers use "Lowest Cost" bidding (no bid cap) and let Meta optimize, then add cost caps or bid caps if needed to control CPA.
Should I set a cost cap?
Set a cost cap if:
• You have a strict maximum CPA you can't exceed (e.g., break-even economics)
• You want to prevent overspending on expensive results
Don't set a cost cap if:
• You're in testing phase and need volume to learn
• Your cost cap is so aggressive it limits delivery
• You trust Meta's algorithm to find efficient results
Remember: If you use cost caps, ensure your daily budget is ≥ 5× your cost goal or delivery will suffer.
How does creative quality affect budget needs?
Massively.
Better creative → higher CTR → more clicks per impression → lower CPC → less budget needed for same results.
A creative with 2% CTR needs roughly half the budget of a 1% CTR creative to generate the same click volume.
Plus, higher engagement improves your ad quality score in Meta's auction, further reducing costs.
Don't just allocate budget. Invest in creative production and testing to make every dollar work harder. Understand what is an ad creative and how to systematically test at scale.
Conclusion: Budget Smart, Execute Smarter
Setting a Facebook ad budget isn't guesswork. It's math.
Start with your goal, calculate your acceptable CPA from unit economics, estimate your funnel metrics, then work the formulas. Use the benchmarks and examples in this guide as starting points, then refine with your actual campaign data.
Remember the learning phase reality: ~50 optimization events per week per ad set. Structure your campaigns to support that threshold, or consolidate until you can.
Choose daily budgets for always-on campaigns with flexible pacing. Choose lifetime budgets for fixed windows and ad scheduling.
Test with ABO to ensure fair spend distribution. Scale winners with CBO to let Meta optimize dynamically.
And most importantly: budget efficiency comes from execution quality. Knowing how much to spend is step one. Being able to launch hundreds of variations with clean naming, UTM tracking, and Post ID preservation is how you find the creative breakthroughs that justify scaling that budget. Learn how to run Facebook ads at scale efficiently.
Ready to execute at scale? See how AdManage helps performance marketers launch thousands of ad variations efficiently. Start with our free calculators, then explore our pricing when you're ready to move fast.
Budget smart. Test aggressively. Scale what works.