Facebook Ads are still worth it in 2026. But not for everyone, and not for the same reasons they were worth it five years ago.
The old pitch was simple: cheap clicks, massive targeting, easy scaling. That version of Facebook advertising is mostly gone. In 2026, Meta's auction is more competitive, more automated, more creative-driven, and more dependent on clean measurement than it's ever been. The question isn't "Do Facebook Ads work?" anymore.
The real question is: Can Facebook Ads acquire customers at a cost that makes sense for your margins, funnel, creative volume, and measurement setup?
We've managed over $50 million in ad spend across brands like MVF, Nextdoor, Photoroom, and Zoe at AdManage, and we see the same pattern repeatedly: Facebook Ads work beautifully for some businesses and quietly destroy margin for others. The difference has almost nothing to do with the platform and almost everything to do with the business economics around it.
We ran the numbers using Meta's latest financials, 2025-2026 benchmark datasets, and our own launch telemetry. Here's what we found.
Are Facebook Ads Worth It for Your Business Type?
Before going deep, here's the quick answer organized by business type.
| Business Type | Worth It in 2026? | Why |
|---|---|---|
| High-margin ecommerce | Usually yes | Meta's benchmark ROAS can work if margin, repeat purchase, or AOV is strong |
| Low-margin ecommerce | Often no (unless LTV is strong) | Average first-order economics are too tight |
| Local lead generation | Yes, if lead quality is tracked | CPL looks attractive, but raw leads mislead |
| B2B lead generation | Sometimes | Works best with strong offers, retargeting, and CRM feedback |
| Apps and subscriptions | Yes, if LTV is measured | First-conversion CPA may look bad until payback is modeled |
| New brands with no creative engine | Risky | Facebook is a creative testing machine; two ads isn't a test |
| Businesses needing existing demand | Google Search may be better | Search captures intent; Meta creates it |
The benchmark telling you whether you're in that "usually yes" bucket: Triple Whale's Meta ecommerce benchmark, updated April 7, 2026 and based on January-December 2025 data from nearly 35,000 brands, reports an average Meta CPA of 38.19**, **CPM of 14.19, CTR of 2.19%, conversion rate of 1.6%, AOV of $71.69, and ROAS of 1.86.
At a 71.69 AOV and 38.19 CPA, ad spend consumes roughly 53% of first-order revenue before product cost, shipping, discounts, fees, and overhead.
Facebook Ads are not automatically profitable. They're a scale lever for businesses whose economics already work.
Is Facebook Still a Good Advertising Platform in 2026?
First, the "Facebook is dead" narrative deserves a direct response.
Meta reported Q1 2026 advertising revenue of $55.0 billion, with ad impressions up 19% year over year and the average price per ad up 12% year over year. Ad revenue grew 33% year over year overall. That's not a dying platform. It's a competitive one.
The audience is still there too. Pew Research Center's November 2025 data found that 71% of U.S. adults use Facebook, and it's one of only two platforms (alongside YouTube) used by majorities across every adult age group. Globally, DataReportal's April 2026 social media statistics put Facebook's reported ad reach at approximately 2.39 billion. Meta also reported 3.56 billion Family daily active people in March 2026 across its full ecosystem.
So the issue in 2026 isn't whether Facebook has users. It does. The issue is whether you can reach the right users profitably in a more expensive auction.
What's Changed About Facebook Ads in 2026?
Why Are Facebook Ad Costs Rising in 2026?
Meta's Q1 2026 results show a platform still growing commercially. Advertisers are competing harder for attention, and average CPMs are climbing. Looking at Facebook CPM benchmarks by industry, Meta CPM rose 20.03% year over year to $14.19 in 2025.
Not all data tells the same story, though. Tinuiti's Q3 2025 benchmark report, based on anonymized performance across their managed programs, showed Meta CPM down 2% year over year in their sample, partly influenced by Reels inventory dynamics. These numbers aren't contradictions. They reflect different advertiser mixes, objectives, and placements. A prospecting purchase campaign has very different economics than a traffic campaign or a Reels placement.
How Much Do Facebook Ads Cost by Industry in 2026?
There's no single "Facebook Ads cost." Industry breakdowns show CPM ranging from 10.01 for Automotive** to **20.70 for Health & Wellness across categories. ROAS varies just as dramatically: Automotive hit 2.54x, Sports & Outdoors 2.28x, while Media & Publishing came in at just 1.17x.
The right benchmark is your category, your offer, your margin, and your creative quality.
How Has Meta's AI Changed How You Should Run Ads?
Meta's systems increasingly push advertisers toward broader targeting, Advantage+ style setups, and AI-assisted creative delivery. Reuters reported in April 2026 that eMarketer expects Meta to surpass Google in global digital ad revenue by end of 2026, crediting Meta's AI ad tools as a core driver.
That shift doesn't mean advertisers can stop thinking. It means the work has changed. Less time over-segmenting audiences. More time on stronger creative, stronger offers, better post-click experiences, and better creative iteration velocity.
Why Facebook Ad Tracking Has Become Critical in 2026
Meta's own FY2025 annual SEC filing explicitly warns that regulatory changes, iOS updates, browser changes, and platform rules can reduce the effectiveness of ad targeting and measurement. That's Meta acknowledging the tracking environment is imperfect.
MediaPost's April 2026 report on Meta's Conversions API rollout noted Meta's internal data claiming advertisers using CAPI (server-side event tracking that supplements the Pixel) saw an average 17.8% lower cost per result. That figure comes from Meta itself, so treat it as directional rather than independently verified. The underlying principle is sound: better event data feeds better optimization. Pairing CAPI with clean UTM parameters across every ad and landing page is the minimum tracking infrastructure for serious measurement.
How to Calculate If Facebook Ads Are Profitable for You
Most advertisers ask "What's a good Facebook Ads CPC?" That's the wrong question.
A 0.70 click can be terrible if it never converts. A 5 click can be excellent if it becomes a $2,000 customer.
The right starting point is your allowable CPA: the maximum you can spend per acquisition and still make money. Our free Facebook ads ROI calculator can help you work this through for your specific margins and conversion rates.
(Contribution margin is different from gross margin. It's what's left after subtracting variable costs including COGS, returns, shipping, discounts, and payment processing fees.)
Once you know your allowable CPA, you can calculate your break-even ROAS:
| Contribution Margin | Break-Even ROAS |
|---|---|
| 70% | 1.43x |
| 60% | 1.67x |
| 50% | 2.00x |
| 40% | 2.50x |
| 30% | 3.33x |
The benchmark ROAS from 2025 data is 1.86x. That number means very different things to different businesses. At a 70% margin, 1.86x ROAS is comfortable. At a 50% margin, it's below break-even. At 40%, it's not close.
This is why two businesses running similar-looking Facebook campaigns can have completely opposite outcomes. Understanding how to reduce your Facebook ads CPA before scaling is the critical first step.
Are Facebook Ads Worth It for Ecommerce in 2026?
Let's use the actual 2025 ecommerce numbers.
2025 Meta ecommerce benchmark (35,000 brands, updated April 7, 2026):
| Metric | 2025 Benchmark |
|---|---|
| CPM | $14.19 |
| CTR | 2.19% |
| Conversion rate | 1.6% |
| CPA | $38.19 |
| AOV | $71.69 |
| ROAS | 1.86x |
Now apply those numbers to real business economics.
| Contribution Margin | Revenue per Order | Ad Cost | Profit After Ad Cost (Before Overhead) |
|---|---|---|---|
| 70% | $71.69 | $38.19 | +$12.00 |
| 60% | $71.69 | $38.19 | +$4.82 |
| 50% | $71.69 | $38.19 | -$2.35 |
| 40% | $71.69 | $38.19 | -$9.51 |
| 30% | $71.69 | $38.19 | -$16.68 |
Two quick examples that illustrate the range.
High-margin skincare brand: AOV 85, contribution margin 70%, break-even CPA 59.50. If benchmark CPA of $38.19 is achievable, this brand has room to test aggressively. Repeat purchase makes the model stronger. Verdict: worth testing.
Low-margin gadget brand: AOV 45, contribution margin 35%, break-even CPA 15.75. Needs a CPA more than 60% below benchmark. Without a subscription component, upsell path, or exceptional creative, Facebook will be very difficult. Verdict: fix the economics first.
The pattern holds across categories. Industry breakdowns show significant variation in CPA and ROAS across verticals, which means your category's benchmark may look better or worse than the aggregate. The aggregate is a starting point, not your target. For a complete tactical walkthrough of what these numbers mean for your campaigns, see our full ecommerce playbook for Facebook ads.
Are Facebook Ads Worth It for Lead Generation?
Facebook often looks attractive for lead gen compared to Google Search. Industry benchmark data reports:
| Metric | Facebook Lead Campaign |
|---|---|
| CTR | 2.59% |
| CPC | $1.92 |
| Conversion rate | 7.72% |
| CPL | $27.66 |
That 27.66 CPL sounds much better than the Google Ads average CPL of **70.11** and $5.26 average CPC.
But the comparison is incomplete. Google Search leads often arrive with higher purchase intent because those people were already searching. Facebook leads require more filtering, follow-up, education, and nurturing to reach the same point. For a full breakdown of what Facebook CPL actually costs across industries, see our analysis of Facebook ads cost per lead benchmarks.
Here's the lead gen math that actually matters:
| Step | Example |
|---|---|
| Raw Facebook CPL | $27.66 |
| % of leads that are qualified | 35% |
| Cost per qualified lead | $79.03 |
| Close rate from qualified lead | 20% |
| Customer acquisition cost | $395.14 |
In this example, Facebook lead ads are worth it if a customer generates more than 395 after fulfillment, sales cost, churn, and overhead. They're not worth it if the business only earns 150 per closed customer.
Facebook Ads vs Google Ads vs TikTok: Which Is Worth It?
The best advertisers don't ask "which channel is best?" They ask which channel does which job in the funnel.
| Channel | Best For | Watch Out For |
|---|---|---|
| Facebook / Meta | Scalable creative testing, ecommerce, retargeting, broad consumer demand, local lead gen | Rising costs, creative fatigue, tracking gaps |
| TikTok | Native creator-style creative, visual products, younger audiences, impulse discovery | Creative format mismatch, volatility, attribution |
| Google Search | High-intent demand capture | Higher CPCs, limited discovery, competitive auctions |
| YouTube | Education, demos, high-consideration products | Creative production cost, longer feedback loop |
| Visual planning, home, fashion, beauty, lifestyle | Slower purchase cycles, category dependence |
For context on TikTok: ecommerce benchmark data shows 13.26 CPM**, **32.74 CPA, 2.01% conversion rate, and 2.21x ROAS. Those numbers look marginally better than Meta on average, but TikTok performance is far more dependent on native-feeling creative. Repurposed Facebook ads rarely work as well on TikTok. We've done a full head-to-head comparison of Facebook and TikTok ad economics if you want to dig deeper. For a cost perspective, see TikTok advertising costs broken down by objective and format.
The practical takeaway: Facebook is often strongest for discovery, retargeting, and broad-demographic reach. Google is often strongest when users already know what they want. The two channels frequently work together better than either works alone. And if you're also running Instagram, check our Instagram ads ROI benchmarks for a parallel comparison.
When Facebook Ads Are Actually Worth the Investment
Facebook Ads are typically worth it when most of these are true.
You know your allowable CPA before you spend a dollar.
This means having defined gross margin, contribution margin after variable costs, average order value, repeat purchase rate, customer lifetime value, payback window, and maximum acceptable CPA. Without these numbers, Facebook becomes a guessing game.
Your margin or LTV can absorb the auction cost.
At the benchmark CPA of 38.19 and AOV of 71.69, low-margin brands are squeezed. Facebook becomes much more attractive when:
- AOV is substantially above benchmark
- Gross margin exceeds 60%
- Customers buy repeatedly
- Subscriptions or upsells exist
- The first purchase isn't the only monetization event
You can produce enough creative, consistently.
In 2026, creative volume isn't a luxury. It's the operating system. Meta's automation can find audiences, but it still needs distinct ideas to test. That means testing different hooks, formats, offers, angles, and landing page promises. Not the same ad with five headline tweaks. Building a structured creative testing framework before you scale is what separates the teams that find winners from the teams that run the same four ads for months.
A useful creative test matrix might look like:
| Variable | Count |
|---|---|
| Core concepts | 5 |
| Hooks per concept | 3 |
| Formats per hook | 3 |
| Copy variants | 2 |
| Total combinations | 90 |
That doesn't mean launching 90 ads on day one. It means creative testing needs enough surface area to find outliers. If you're wondering how many ad creatives you actually need to test before drawing conclusions, the answer depends on your CPA target and the statistical variance in your category. Paid social performance follows a heavy-tail pattern: a small number of ads drive a disproportionate share of results. You have to test enough to find those outliers.
Your tracking infrastructure is solid.
Minimum requirements for serious Facebook advertisers in 2026:
→ Meta Pixel installed and firing correctly
→ Conversions API (CAPI) set up for server-side event tracking
→ Deduplicated browser and server events
→ Clean UTMs on all ads and landing pages
→ Purchase or lead events mapped correctly
→ CRM or offline conversion feedback for lead gen
→ Consistent naming conventions at campaign, ad set, and ad level
→ Blended reporting outside Ads Manager (MER, new-customer CAC, cohort data)
Your post-click experience is proven.
Facebook Ads can't save a weak landing page. Before scaling spend, confirm page speed is competitive on mobile, the offer is clear, pricing is anchored, reviews and trust signals are visible, and checkout friction is minimal. A campaign with a 2% CTR and a 0.3% site conversion rate has a website problem, not just an ad problem.
You measure incrementality alongside Ads Manager ROAS.
Ads Manager is useful but not the whole truth. MER (total revenue divided by total ad spend across all channels) is a better health signal. New-customer CAC is more meaningful than blended CAC. Geo tests and post-purchase surveys get you closer to true incrementality than any attribution model alone. A proper multi-touch attribution model lets you understand which touchpoints are actually driving conversions rather than just claiming credit for them.
When Facebook Ads Are a Waste of Money
Be honest with yourself about these red flags.
- Your product has weak economics. If your contribution margin is below 40-50% and your AOV is under $60, the math is hard at current benchmark CPAs. Paid social becomes much easier once you fix the underlying unit economics.
- You only have one or two creatives. A small creative set gives the algorithm little to learn from. Early results from a tiny creative pool are often random rather than signal. Creative fatigue sets in faster than most advertisers expect. What looks like a "platform problem" is often a creative rotation problem.
- You can't track lead quality. If Meta optimizes for form fills but your sales team says the leads are unqualified, you need CRM feedback and offline conversion imports. Optimizing for cheap volume when you need qualified pipeline is how you burn budget without building revenue.
- You're using the wrong campaign objective. Optimizing for traffic when you need purchases, or optimizing for leads when you need qualified opportunities, produces misleading metrics and poor business outcomes. If your Facebook ads aren't delivering the results you expected, campaign objective mismatch is one of the first things to audit.
- You need existing demand more than demand creation. For urgent, high-intent categories (emergency services, regulated services, B2B software with strong category search volume), Google Search may be a better first dollar. Facebook can still support those funnels through retargeting and education, but it's often not the right primary conversion channel.
- You don't have enough budget to generate signal. A useful test budget should scale with your target CPA. If your target CPA is 50, a 500 test gives you roughly 10 conversion attempts. That's a small sample, but more meaningful than judging the channel on $40 of spend. Understanding how Facebook's learning phase works will help you budget correctly for a real test. The platform needs enough conversion volume to exit learning before results stabilize.
The Hidden Cost of Facebook Advertising Nobody Talks About
Most "are Facebook ads worth it?" articles focus only on media cost. They miss a major expense: the human time required to launch, QA, name, track, and iterate ads.
This matters because modern Meta performance depends on testing many creative variations. But launching those variations manually is slow and error-prone at scale. If you're wondering how to approach running Facebook ads at scale, the operational infrastructure is as important as the media strategy.
AdManage's public status page shows that over the last 30 days, customers launched 1,538,664 ads across 188,774 batches, with the platform estimating 7,480 days of media-buyer time saved at 7 minutes per ad.
The status page makes these numbers verifiable in real time — the counters update live and are publicly accessible without a login.
That operational time has real ROI implications. Consider the math:
| Plan | Monthly Price | Assumed Media-Buyer Cost | Time Saved per Ad | Break-Even Volume |
|---|---|---|---|---|
| Essential | £99 | £50/hr | 7 min | ~17 ads/month |
| In-House | £499 | £50/hr | 7 min | ~86 ads/month |
| Agency | £999 | £50/hr | 7 min | ~171 ads/month |
If your team is launching hundreds or thousands of ads monthly, manual uploading is one of the lowest-value uses of a media buyer's time (and yes, we've watched teams spend entire days on it). That's time not spent on creative strategy, offer testing, or landing page optimization. Learning how to automate Facebook ad creation and bulk-launch campaigns is where the operational gains actually are.
The winning teams in 2026 aren't just asking "Can we afford Facebook Ads?" They're asking: "Can we test enough high-quality creative fast enough to find winners before creative fatigue, auction costs, and manual work eat the margin?"
How to Get More Results From Facebook Ads at Scale
AdManage is built for the operational reality of running Facebook Ads at scale: the part where creative testing requires launching and QA-ing hundreds of variations without it consuming your entire team's week.
Here's what it actually handles:
Bulk ad launching across Meta, TikTok, and more.
AdManage's homepage notes that native Meta workflows take 10-20 minutes for a single ad and 3-4 hours for 150 ads. AdManage's bulk launch workflows compress that dramatically.
Naming convention enforcement.
Consistent naming isn't bureaucracy. It's how you learn which creative angles actually drive profit across thousands of variants. AdManage enforces naming templates automatically so every ad is traceable from platform to CRM.
UTM automation.
Every ad launched through AdManage carries consistent UTM parameters, so your analytics stack can actually connect ad spend to revenue outcomes.
Post ID preservation.
When an ad accumulates reactions, comments, and shares, that social proof adds credibility and improves conversion rates. AdManage supports workflows built around Post ID preservation so teams can scale and reuse winning creative without resetting engagement every time they relaunch.
Google Sheets integration.
For teams managing large creative pipelines, AdManage's Google Sheets add-on supports launch drafts, ad set exports, background sync scheduling, and intelligent column mapping without leaving the spreadsheet.
Here is what the AdManage platform looks like in practice — a bulk ad launcher built for teams pushing hundreds to thousands of variants per month, with partner integrations across Meta, TikTok, Google, Snap, Pinterest, and more visible from the homepage.
The operational math: AdManage's ROI calculator estimates **9,200 saved per 1,000 ads** at a fully-loaded media-ops cost of 55 per hour. At 5,000 ads per month, that's roughly $46,000 in time costs avoided.
If your team is launching hundreds of ads per month and the launch process is the bottleneck, see AdManage's pricing to find the plan that fits your team size.
AdManage uses flat fixed-fee pricing with no percentage of ad spend — the plans are designed so the ROI from time saved scales with volume, not with your media budget.
Facebook Ads Readiness Checklist: Should You Run Ads Now?
Run through this before committing serious budget.
| Question | Green Flag | Red Flag |
|---|---|---|
| Do you know your allowable CPA? | Yes, based on margin and LTV | No, guessing from CPC benchmarks |
| Is your AOV high enough? | AOV supports target CPA at your margin | Low AOV with thin margin |
| Do customers repeat? | Strong LTV or subscription | One-time low-margin purchase |
| Can you produce creative? | Weekly creative testing cadence | Same ads for months |
| Is tracking clean? | Pixel, CAPI, UTMs, CRM feedback | Pixel-only or broken events |
| Is your funnel proven? | Landing page converts cold traffic | No conversion data |
| Are leads qualified? | CRM quality loop exists | Optimizing only for raw CPL |
| Is budget sufficient? | Enough to test toward target CPA | Tiny budget, high CPA expectations |
| Can you read blended results? | MER, new-customer CAC, payback tracked | Ads Manager ROAS only |
| Is there operational capacity? | Bulk launch and QA process | Manual launch bottleneck |
Most green: Facebook Ads are likely worth testing. Most red: fix the business or measurement system before blaming the channel.
Final Verdict: Are Facebook Ads Worth It in 2026?
Facebook Ads are worth it in 2026 if your economics and execution are strong enough. They're not worth it if you're relying on cheap clicks, weak creative, broken tracking, or vague ROAS targets.
The platform still has enormous reach. Meta's ad business is still growing. Benchmark data shows that advertisers can acquire customers profitably in many categories. But the average economics are tight: a 38.19 CPA against a 71.69 AOV means many brands need strong margins or LTV to build a profitable model on Facebook.
Our take: the teams that win on Facebook in 2026 treat it like a measurable acquisition system, not a media slot. They know their allowable CPA before they spend a dollar. They feed Meta clean data. They test enough creative to find outliers. They measure profit outside Ads Manager. And they remove manual ad-ops bottlenecks so creative testing velocity matches what the algorithm actually needs. The full tactical guide to scaling Facebook ads covers how the best-performing teams structure these systems.
For teams launching dozens, hundreds, or thousands of Meta ads per month, AdManage handles the operational side of that equation: bulk launches, Google Sheets workflows, naming conventions, UTMs, templates, creative grouping, and Post ID preservation. The media math still has to work. But the launch process shouldn't be the thing holding it back.
Frequently Asked Questions About Facebook Ads in 2026
Are Facebook Ads Dead in 2026?
No. Meta reported Q1 2026 advertising revenue of $55.0 billion, with ad impressions up 19% year over year and average price per ad up 12%. That's not a dead platform. It's a competitive one with growing advertiser demand.
Are Facebook Ads Getting More Expensive in 2026?
Generally yes. Meta's Q1 2026 results show average price per ad up 12% year over year. Facebook CPM benchmarks show Meta CPM rising 20% year over year to $14.19 in 2025. That said, costs vary significantly by objective, vertical, placement, and creative quality. Tinuiti's Q3 2025 benchmark showed Meta CPM down 2% in their sample, reflecting how different advertiser mixes experience the same auction differently.
What's a Good Facebook Ads ROAS in 2026?
"Good" depends entirely on your contribution margin. A 1.86x ROAS (the 2025 benchmark) is profitable for a 70% margin business and below break-even for a 50% margin business. The formula: break-even ROAS = 1 divided by your contribution margin. A 50% margin requires 2.0x to break even. A 40% margin requires 2.5x. Build your ROAS target from your own economics, not from general benchmarks. Our guide to cost cap vs bid cap strategies explains how to set the right bid constraints once you know your target ROAS.
What's a Good Facebook Ads CPA in 2026?
A good CPA is any CPA below your allowable CPA. For context, the 2025 Meta ecommerce benchmark reports 38.19 average CPA**. The 2025 Facebook lead campaign benchmark reports **27.66 average CPL. But your target may be substantially higher or lower depending on your AOV, margin, customer LTV, close rate, and what happens downstream from the first conversion. For a detailed breakdown of what Facebook ads cost per lead across different industries, see our benchmark analysis.
Should Small Businesses Run Facebook Ads?
Small businesses can run Facebook Ads successfully if they have a clear offer, a defined audience, a way to track leads or purchases, and enough budget to generate meaningful signal. Facebook works especially well for local lead generation, appointment-based businesses, ecommerce with strong margins, and retargeting. The caution: if you can't follow up with leads quickly, don't know your margins, or plan to judge the channel after minimal spend, you'll likely conclude it doesn't work before you've actually tested it. For service businesses specifically, see our guides on Facebook ads for dentists and Facebook ads for restaurants for tactical frameworks.
Are Facebook Ads Better Than Google Ads?
Neither is universally better. Google Search is usually stronger for capturing high-intent demand. Facebook is often stronger for creating demand, scaling visual offers, and reaching broad audiences at lower CPCs. Google Ads average CPC is around 5.26** and average CPL around **70.11, compared to Facebook's 1.92 CPC** and **27.66 CPL. But cheaper doesn't mean better if the intent gap means lower close rates. Our full comparison of Google Ads vs Facebook Ads covers which channel wins for different business types. Many effective programs run both channels for different jobs in the funnel.
Are Facebook Ads Better Than TikTok Ads?
It depends on your creative and audience. Ecommerce benchmark data shows TikTok ROAS of 2.21x and CPA of 32.74**, comparing favorably to Meta's **1.86x ROAS** and **38.19 CPA. But TikTok performance is more dependent on native, creator-style creative. Repurposed Facebook ads rarely work as well on TikTok. Meta typically has broader demographic reach, more mature retargeting infrastructure, and deeper ecommerce optimization tools. For a full breakdown, see our Facebook vs TikTok ads comparison. Most scaling brands test both.
How Long Should I Test Facebook Ads Before Deciding?
Don't decide based on time. Decide based on signal volume. A meaningful test should generate enough conversion attempts to evaluate your target CPA. As a rough guide, spend at least 10-30 times your target CPA across a structured set of creative tests before drawing conclusions about the channel. Understanding Facebook's learning phase (how many conversions the algorithm needs before it exits the learning phase) helps you size your test correctly. Once you have enough signal, knowing when to kill an ad that isn't performing is just as important as knowing when to scale one that is. Spending 200 on a campaign with a 100 target CPA doesn't tell you whether Facebook works. It tells you that two conversion attempts isn't enough data.
