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Building a Meta Ads Dashboard: The 10 Metrics That Matter

Meta reports 50+ metrics. You need 10. Here's the essential dashboard that tells you everything—and the vanity metrics you should ignore.

Jorgo Bardho

Founder, Meta Ads Audit

June 20, 202514 min read
meta adsdashboardmetricsreportingperformance monitoringKPIs
Meta Ads dashboard showing the 10 essential metrics

Meta Ads Manager offers 50+ metrics. You can track impressions, reach, frequency, CPM, CPC, CTR, CPA, ROAS, conversions, landing page views, video plays, ThruPlays, quality ranking, engagement rate ranking, and dozens more. Most of them don't matter. Building an effective dashboard means ruthless prioritization—the 10 metrics that actually predict performance, diagnose problems, and guide decisions.

The goal isn't maximum data visibility. It's actionable insight with minimum noise. A dashboard that shows everything tells you nothing. A dashboard with the right 10 metrics tells you whether to scale, pause, investigate, or iterate—without drowning in irrelevant numbers.

The 10 Essential Metrics

These metrics form the core of any Meta Ads dashboard. They cover efficiency, scale, quality, and leading indicators. Everything else is either derivable from these or unnecessary for most decisions.

1. Amount Spent

What it tells you: How much budget has been consumed

Why it matters: Budget tracking is foundational. You need to know if you're pacing ahead, behind, or on target. Under-delivery signals problems; over-delivery risks budget exhaustion before end of period.

How to use it: Compare daily spend to daily budget. Track cumulative spend against monthly budget. Flag any day where spend deviates more than 20% from target.

2. Conversions

What it tells you: How many desired actions occurred

Why it matters: Conversions are the reason you're advertising. All other metrics ultimately exist to explain or predict conversions. This is your outcome metric.

How to use it: Track total conversions and conversion trend over time. Compare to targets. Break down by campaign, ad set, and ad to find winners and losers.

3. Cost Per Acquisition (CPA)

What it tells you: How much you pay per conversion

Why it matters: CPA is the primary efficiency metric. It ties directly to unit economics and determines whether acquisition is profitable. Low CPA means efficient acquisition; high CPA means waste.

How to use it: Set CPA targets based on LTV and margin. Flag any campaign, ad set, or ad exceeding target CPA by more than 20%. Investigate or pause underperformers.

4. Return on Ad Spend (ROAS)

What it tells you: Revenue generated per dollar spent

Why it matters: ROAS is the ultimate profitability metric for e-commerce and revenue-focused campaigns. It directly answers: "Is this advertising making money?"

How to use it: Set ROAS targets (e.g., 3x minimum). Rank campaigns by ROAS to identify where to shift budget. Note: ROAS requires accurate conversion value tracking.

5. Click-Through Rate (CTR)

What it tells you: Percentage of impressions that resulted in clicks

Why it matters: CTR is the primary diagnostic for creative performance. Low CTR means your ad isn't capturing attention. It's a leading indicator—CTR problems appear before conversion problems.

How to use it: Benchmark CTR by placement and objective. Feed typically runs 0.5-1.5%; Stories/Reels often higher. Declining CTR over time signals creative fatigue.

6. Cost Per Mille (CPM)

What it tells you: Cost per 1,000 impressions

Why it matters: CPM indicates auction competitiveness and audience targeting efficiency. Rising CPM means you're paying more for the same reach—either competition increased, quality dropped, or audience saturated.

How to use it: Track CPM trend over time. Compare CPM across audiences—some are inherently more expensive. Sudden CPM spikes warrant investigation.

7. Frequency

What it tells you: Average times each person saw your ad

Why it matters: Frequency indicates audience saturation. Too high (above 5-7 for most objectives) signals you're paying for redundant impressions to the same people. It's an early warning for ad fatigue.

How to use it: Set frequency alerts above your threshold (typically 5 for DR, 7 for brand). High frequency requires audience expansion, creative refresh, or budget reduction.

8. Reach

What it tells you: Unique people who saw your ad

Why it matters: Reach indicates audience scale. Combined with frequency, it tells you how your budget is distributed. High reach with low frequency means broad exposure; low reach with high frequency means concentrated (potentially wasted) exposure.

How to use it: Compare reach to audience size to understand penetration. Track reach growth over time—plateauing reach means you've exhausted the audience.

9. Quality Ranking

What it tells you: Perceived ad quality compared to competitors

Why it matters: Quality ranking affects auction outcomes and CPM. Below-average quality ranking means you're paying more for worse results. It diagnoses creative and targeting problems before they compound.

How to use it: Flag any ad with below-average quality ranking. Prioritize creative refresh or targeting adjustment for flagged ads. Correlate quality ranking with CPM to quantify the cost.

10. Landing Page Views

What it tells you: Clicks that actually loaded the landing page

Why it matters: Landing page views filter out accidental clicks, bot clicks, and abandoned loads. The gap between clicks and landing page views reveals funnel leakage. A large gap signals site speed issues or misaligned expectations.

How to use it: Calculate click-to-landing-page-view ratio. Below 80% indicates problems. Compare conversion rate from clicks vs landing page views—LPV-based conversion is more accurate.

Metrics You Should Skip

Not every metric deserves dashboard space. These commonly tracked metrics add noise without insight:

Impressions

Impressions tell you how many times your ad displayed, but without context (reach, frequency, CPM), they're meaningless. A million impressions can be great (wide reach) or terrible (same people seeing it 20 times). Use reach and frequency instead.

Link Clicks

Link clicks include any click that takes someone off-platform. But not all clicks are equal—accidental clicks, bounced clicks, and bot clicks inflate the number. Use landing page views for a more accurate picture of genuine interest.

Post Engagement

Likes, comments, and shares feel good but don't correlate with conversions for most campaigns. High engagement with low conversion is a vanity trap. Skip engagement metrics unless running brand awareness campaigns where engagement is the goal.

Video Plays

Video plays count anyone who watched 3 seconds—often autoplay with no intent. ThruPlays (15 seconds or completion) are more meaningful, but even they don't predict conversion. Include for video-specific campaigns; skip for general dashboards.

Cost Per Click (CPC)

CPC optimizes for clicks, not conversions. A $0.50 CPC that doesn't convert is worse than a $2.00 CPC that does. CPA is the efficiency metric that matters; CPC is a distraction for conversion-focused campaigns.

Dashboard Structure: Three Views

Organize your dashboard into three views for different decision contexts:

View 1: Executive Summary

High-level health check. Shows total spend, total conversions, overall CPA, overall ROAS. Answers: "Are we on track?" Review daily for general health, weekly for trends.

Metrics: Amount Spent, Conversions, CPA, ROAS

Time frame: Today, last 7 days, month-to-date

Breakdowns: None (aggregate only)

View 2: Campaign Performance

Campaign-level comparison. Shows which campaigns deserve budget and which don't. Answers: "Where should budget flow?" Review weekly for allocation decisions.

Metrics: Amount Spent, Conversions, CPA, ROAS, CTR, CPM

Time frame: Last 7 days, last 14 days

Breakdowns: By campaign

View 3: Diagnostic Details

Ad set and ad level details for investigation. Shows why campaigns perform well or poorly. Answers: "What's causing this?" Review when investigating problems or scaling winners.

Metrics: All 10 essential metrics

Time frame: Last 7 days

Breakdowns: By ad set, by ad

Setting Up Alerts and Thresholds

A dashboard isn't just for looking—it should tell you when to act. Set alerts for:

CPA Threshold Alerts

Alert when any ad set CPA exceeds target by 20%+ for 3+ consecutive days. This catches inefficiency before it burns significant budget.

Frequency Alerts

Alert when frequency exceeds 5 (DR campaigns) or 7 (brand campaigns). High frequency indicates audience saturation requiring immediate action.

CPM Spike Alerts

Alert when CPM increases more than 25% week-over-week for any ad set. CPM spikes indicate increased competition, quality problems, or audience issues.

CTR Decline Alerts

Alert when CTR drops more than 20% week-over-week. Declining CTR is the earliest signal of creative fatigue or audience mismatch.

Quality Ranking Alerts

Alert when any ad drops to "below average" quality ranking. Low quality ranking inflates CPM and reduces delivery efficiency.

Budget Pacing Alerts

Alert when daily spend is more than 20% above or below daily budget target. Under-delivery indicates problems; over-delivery risks budget exhaustion.

Building the Dashboard: Tool Options

Meta Ads Manager Native

Pros: Free, always up-to-date, all metrics available

Cons: Limited visualization, no automated alerts, cumbersome custom reports

Best for: Small accounts, quick checks, no-budget scenarios

Google Sheets + Supermetrics

Pros: Flexible, customizable, combines data sources, relatively low cost

Cons: Requires setup, manual refresh or scheduled pulls, limited visualization

Best for: Medium accounts, multi-platform reporting, budget-conscious teams

Looker Studio (formerly Data Studio)

Pros: Free, decent visualization, shareable dashboards, Google ecosystem integration

Cons: Requires connector for Meta (Supermetrics or similar), can be slow with large datasets

Best for: Teams needing shareable visual dashboards, Google-centric organizations

Dedicated Platforms (Triple Whale, Northbeam, etc.)

Pros: Purpose-built for e-commerce/Meta, attribution features, pre-built dashboards

Cons: Expensive ($300-1000+/month), may be overkill for small accounts

Best for: High-spend e-commerce, attribution-focused teams, multi-channel advertisers

Dashboard Review Cadence

The best dashboard is useless without regular review. Establish cadence:

Daily (5 minutes)

Check executive summary. Is spend on target? Any major CPA spikes? Any alerts triggered? Quick health check, not deep analysis.

Weekly (30 minutes)

Review campaign performance view. Compare week-over-week trends. Identify candidates for budget increase (top performers) and budget decrease (underperformers). Make allocation decisions.

Monthly (1-2 hours)

Deep dive into diagnostic view. Analyze all ad sets and ads. Identify creative fatigue patterns, audience saturation, and optimization opportunities. Plan next month's tests and refreshes.

Quarterly (Half day)

Strategic review. Compare to previous quarters. Evaluate if targets are appropriate. Assess channel mix and budget allocation at portfolio level. Plan major changes.

Common Dashboard Mistakes

Too Many Metrics

Dashboards with 20+ metrics overwhelm rather than inform. Every added metric dilutes focus. Start with 10, resist adding more without removing something.

No Targets or Benchmarks

Metrics without context are meaningless. Always include targets (what you're aiming for) and benchmarks (historical or industry comparison). A $30 CPA is good or bad depending on your target.

Wrong Time Windows

Looking at single days introduces noise. Looking at 90-day averages hides recent changes. Use 7-14 day windows for most operational decisions—enough data for stability, recent enough for relevance.

No Breakdown Capability

Aggregate numbers hide problems. If overall CPA is on target but one campaign is 3x over, you're missing waste. Always enable drill-down from account to campaign to ad set to ad.

Set and Forget

Dashboards without regular review are decoration. Build the review cadence into your calendar. An unread dashboard saves no money.

Our Meta Ads Audit tool provides automated dashboards with built-in alerts, automatically flagging the metrics that matter when they cross your thresholds. We surface the insights without requiring manual dashboard maintenance.

Key Takeaways

  • 10 essential metrics: Spend, Conversions, CPA, ROAS, CTR, CPM, Frequency, Reach, Quality Ranking, Landing Page Views
  • Skip vanity metrics: Impressions, link clicks, post engagement, video plays, CPC (for conversion campaigns)
  • Structure dashboard into three views: Executive summary, campaign performance, diagnostic details
  • Set alerts for CPA thresholds, frequency caps, CPM spikes, CTR decline, and quality ranking drops
  • Establish review cadence: daily (5 min), weekly (30 min), monthly (1-2 hours)
  • Avoid common mistakes: too many metrics, no targets, wrong time windows, no drill-down

FAQ

Should I track different metrics for different campaign types?

The 10 essential metrics work for most campaigns. For brand awareness, add reach and frequency emphasis. For video campaigns, add ThruPlay rate. But the core 10 remain relevant across objectives.

How do I get started if I have no dashboard?

Start with Meta Ads Manager's built-in column customization. Create a custom column preset with the 10 essential metrics. Save it and use it for all reviews. Graduate to external tools as needs grow.

What if my CPA target isn't clear?

Work backward from unit economics. Calculate your LTV or average order value, subtract COGS and margin, and determine maximum acceptable CAC. That's your CPA ceiling. Target 60-70% of ceiling to leave buffer.

Should I share the dashboard with stakeholders?

Share the executive summary view with leadership. Share campaign performance with marketing team. Keep diagnostic details for the people making day-to-day optimization decisions. Match complexity to audience.

How often should I update targets?

Review targets quarterly. Adjust if business conditions change significantly (new products, pricing changes, competition shifts). Avoid changing targets frequently—stability allows meaningful comparison over time.