Meta Opportunity Score: What It Actually Means and How to Use It in 2026
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Meta Opportunity Score: What It Actually Means and How to Use It in 2026

Understand what Meta's Opportunity Score really measures (hint: it's not your ad performance). Learn when to follow its recommendations and when to ignore them.

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Sarah Chen
Head of Product | January 25, 2026
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Key Takeaways

  • 1Opportunity Score reflects how closely you follow Meta's recommendations — not your actual performance
  • 2A high score doesn't guarantee high ROAS (and vice versa)
  • 3Most score-boosting actions involve enabling Advantage+ features
  • 4Use it as one data point among many, not as your north star metric

Key Takeaways

  • Opportunity Score reflects how closely you follow Meta's recommendations — not your actual performance
  • A high score doesn't guarantee high ROAS (and vice versa)
  • Most score-boosting actions involve enabling Advantage+ features
  • Use it as one data point among many, not as your north star metric

What Is Meta's Opportunity Score?

Let me save you some confusion right away: Meta's Opportunity Score is NOT a performance metric.

High Opportunity Score ≠ High Performance. I've seen accounts at 95+ barely break even, while accounts at 40 print money.

I've seen too many marketers panic when their score drops to 45, thinking their campaigns are failing. Meanwhile, their ROAS is sitting at a healthy 4x. The disconnect is real, and it matters.

The Opportunity Score is a 0-100 rating that measures how closely your account follows Meta's best practices and recommendations. Think of it as a "compliance score" rather than a "performance score."

Opportunity score itself does not reflect your actual or future performance.

So why does it exist? It's Meta's way of nudging you toward their automated features — particularly the Advantage+ suite. Nothing wrong with that, but you need to understand what you're measuring.

Where to Find It

You'll find your Opportunity Score in the Account Overview section of Meta Ads Manager. It appears as a percentage at the top of the page, and you can drill down to see scores at the campaign and ad set levels.

The score updates in real-time as you apply (or ignore) Meta's recommendations.

How the Score Is Calculated

Here's the formula in simple terms:

Your score = How many Meta recommendations you've applied × Their estimated impact weight

Each recommendation has a different point value based on Meta's estimate of its potential performance impact. Apply a high-impact recommendation, your score jumps. Ignore it, it stays flat.

The algorithm doesn't know your business. It doesn't know your margins, your brand guidelines, or your target audience quirks. It's applying general best practices that work across millions of advertisers — which may or may not apply to you.

Understanding Score Ranges

Score RangeWhat It MeansMy Take
90-100Following almost all Meta recommendationsYou're either new to advertising or very trusting of automation
60-89Good alignment with room to optimizeMost experienced advertisers land here
30-59Functional but "inefficient" by Meta's standardsOften intentional — niche targeting, specific strategies
0-29Significant "gaps" in Meta's viewCould be problematic, or could be deliberate

The Three Myths That Trip Up Marketers

Myth 1: High Score = High Performance

I've managed accounts with 95+ Opportunity Scores that barely broke even. I've also seen accounts at 40 that were printing money.

A perfectly optimized campaign structure means nothing if nobody wants what you're selling.

Why? Because the score doesn't account for:

  • Your creative quality
  • Your offer strength
  • Product-market fit
  • Landing page conversion rates
  • Your actual target audience behavior

Myth 2: Low Score = Bad Campaigns

If you're running highly targeted B2B campaigns, testing unconventional creatives, deliberately avoiding certain placements, or using manual bidding — your low score might be a feature, not a bug.

Sometimes a low score is exactly what you want. Meta's "best practices" may not apply to your specific situation.

Myth 3: You Should Apply Every Recommendation

Meta's recommendations are generated by algorithms that optimize for the average advertiser. But you're not average — you have specific goals, constraints, and context.

- "Expand your audience" when I know my niche converts better
  • "Add more placements" when testing shows certain placements tank performance
  • "Increase budget" when I'm already at capacity

Be selective. Use your judgment.

The Advantage+ Connection

Here's the elephant in the room: most Opportunity Score recommendations push you toward Advantage+ features.

  • Advantage+ Placements: Let Meta choose where your ads appear
  • Advantage+ Audience: Expand targeting beyond your manual selections
  • Advantage+ Campaign Budget: Give Meta full control over budget allocation
  • Advantage+ Creative: Let AI modify your creative assets

These features work well for many advertisers, especially those with high volume and broad appeal. But they're not magic, and they're not right for everyone.

Test Advantage+ features methodically. Run controlled experiments. Don't just enable everything because it boosts your Opportunity Score.

Meta's Performance 5 Framework

If you want to actually improve performance (not just your score), focus on these five areas that Meta's internal research supports:

1. Account Simplification

Keep your campaign structure simple. Fewer campaigns with broader targeting gives the algorithm more data to learn from. Meta suggests keeping less than 20% of your budget in learning phase.

2. Creator Content

Branded partnership ads using creator/influencer content consistently outperform traditional branded creative. Real people > polished productions in most cases.

3. Creative Diversification

Vary your formats — Reels, UGC, product shots, lifestyle. Different formats reach different placements and audience segments. This actually prevents ad fatigue more than anything else.

4. Conversions API Quality

Ensure your Pixel AND Conversions API are both sending clean data. Redundancy improves signal quality. Watch your Event Match Quality scores — aim for 6.0 or higher.

5. Measurement Validation

Stop trusting last-click attribution blindly. Use Conversion Lift studies when possible. Understand that cross-device journeys make traditional attribution incomplete.

My Optimization Framework

Instead of chasing a higher Opportunity Score, here's how I approach account optimization:

Step 1: Audit

Look at your scores across account, campaign, and ad set levels. Identify patterns. Where are the gaps?

Step 2: Diagnose

For each low-scoring area, ask: Is this a technical issue, a structural choice, or an intentional business decision?

Step 3: Prioritize

Fix data accuracy first. Tracking issues compound everything else. Then address:

  • Conversions API and Pixel setup
  • Audience overlap issues
  • Budget distribution problems
  • Step 4: Iterate

    Test changes one at a time. Give them several days to stabilize. Measure cost per result and conversion rates — not Opportunity Score.

    The Bottom Line

    Meta's Opportunity Score is a useful health indicator, but it's not the scoreboard that matters.

    Think of it like a fitness tracker that counts your steps. Steps matter, but they're not the same as actual fitness. You can hit 10,000 steps walking in circles and still be out of shape.

    Use the Opportunity Score as one input among many. Let it flag potential issues. But always validate against your actual business metrics: ROAS, CPA, revenue, profit.

    The algorithm doesn't run your business. You do. Focus on what actually matters — conversions and profit — not a compliance score.

    Want to track all your Meta metrics in one place — including Opportunity Score alongside actual performance? Try AdBid free for 14 days and see the full picture.

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