Tag: Meta advertising 2025

If you’ve ever logged into Google or Meta Ads and seen a bright red warning that your campaign performance is Poor or Below Average, you might have felt a twinge of panic. But take a deep breath: these ratings are not a reflection of your actual results or our agency’s performance. They’re automated, algorithm-driven suggestions that often benefit the platform more than the advertiser.

What These Scores Actually Measure

Both Google and Meta use internal scoring systems to rank how “optimized” your campaigns are. You might see these labeled as:

Quality Score (Google)

Optimization Score (Google)

Account Quality / Opportunity Score (Meta)

These scores take into account factors like:

Ad relevance

Expected click-through rate (CTR)

Landing page experience

Account history

How many of the platform’s “recommended” features you’re using

But here’s the catch: the formulas behind these scores are proprietary and opaque. Even experienced media buyers don’t know exactly how they’re calculated or weighted. What we do know is that the scores are designed to nudge advertisers toward using more of the platform’s automated features – and often, toward spending more money.

 

Why You Shouldn’t Panic When You See “Poor”

A low score doesn’t mean your ads aren’t working. It means the platform believes it could make your ads “better” – usually by adding more automation or expanding your targeting. In many cases, these recommendations would actually undermine your campaign strategy or waste budget.

“Google will often say things like ‘poor performance’ to try to get you to opt into features that give it more control over the ads (and therefore, you and us less control). For example, it wants us to add a bunch of keywords that we know are irrelevant to our current goals. So it is trying to get us to spend more money to opt into those features. Please don’t put a lot of stock in those ratings – we are actively adjusting the ads to make sure they’re working as intended.”

— Kalina Perkins, Media Buyer at Best Practice Media

In other words: a low score doesn’t mean failure. It means the platform disagrees with your strategy – often because it can’t monetize your efficiency.

 

Why Platforms Use These Scores

Let’s be blunt: these scores are part performance metric, part sales pitch. They serve to:

Encourage adoption of automated bidding or targeting features

Increase advertiser budgets under the guise of “improving” campaigns

Create a sense of urgency and dependency on the platform’s tools

Independent advertisers and PPC experts have noted that these “optimization” nudges often benefit the platform far more than the advertiser.

“They put up a ‘New recommendation’ that we PAY THEM MORE to raise our score back up… like a scare tactic.”

— Advertiser on Reddit

 

What Actually Matters

At Best Practice Media, we focus on business performance, not arbitrary platform metrics. Here are the metrics that matter:

Conversions / Leads — Real-world actions and sales. We optimize to increase conversion volume and quality.

Cost Per Acquisition (CPA) — Measures efficiency. We work to lower CPA while maintaining lead quality.

Return on Ad Spend (ROAS) — Ties spend to revenue. We track every dollar spent vs. earned.

Conversion Rate (Post-Click) — Reflects funnel and landing page performance. We test creative, copy, and UX to improve this.

Trend Data — Reveals long-term performance. We monitor weekly and monthly improvements, not one-day fluctuations.

These metrics are tied directly to your growth – not to Google’s or Meta’s.

 

How We Handle ‘Poor’ Scores Behind the Scenes

When a campaign shows a low score, here’s what we actually do:

Investigate, not react. We treat scores as signals to review – not commands.

Analyze underlying factors. We look at CTR, relevance, and landing page experience to identify true areas of improvement.

Test intentionally. We may test platform suggestions – but only if they align with your goals and data.

Communicate transparently. If you see a low score, we’ll explain what it means and what we’re doing about it.

Stay focused on results. We prioritize performance metrics that drive your business – not vanity grades from an algorithm.

 

The Bottom Line

When you see a “Poor” score, it’s not a crisis – it’s just the platform asking for more control. Our job is to make sure you stay in control of your ad dollars and that every click drives real results.

A low platform score doesn’t mean poor performance. It means you’re optimizing for your business, not their bottom line.

Next Steps for Clients:
If you see a low rating and are concerned, reach out to your BPM media buyer. We’ll walk you through what it means in context and show you the metrics that actually matter.

Do not change a Meta campaign just because today looks worse than yesterday. Change it when you can name the problem, show that the comparison is fair, and explain what the edit is supposed to fix.

That sounds obvious. It is also where a lot of paid social accounts get messy. A campaign has a slow morning, somebody pauses three ads, raises the budget, narrows the audience, and swaps the landing page. By Friday, there is no clean answer about what worked.

The better question is not “Has this ad run for five days?” It is: Do we have enough comparable evidence to make this specific decision?

There is no universal number of days to wait

The original version of this article gave fixed impression, click, conversion, and seven-day thresholds. Those can be useful planning references in some accounts, but they are not universal stop-or-scale rules.

A $40 product with ten purchases a day produces evidence differently from a high-consideration service that closes after a sales call. Conversion lag, budget, attribution, audience size, promotion timing, and the size of the performance difference all matter.

Start with the delivery status shown in Ads Manager. Meta’s delivery-status guidance explains the preparing, learning, active, and learning-limited states advertisers may see. A learning label is context, not a command to ignore an obvious tracking failure, broken page, rejected ad, or bad offer.

It also is not a promise that mediocre results will become good if you wait long enough.

Before touching the campaign, identify which part is failing

We use a simple chain: delivery, attention, traffic quality, landing-page behavior, and business economics. Read it in that order.

What you see	What it may mean	What to check before editing
Very little spend or reach	Delivery or setup problem	Approval status, schedule, budget, bid or cost controls, audience size, placements, event selection, and account restrictions
Impressions but weak early attention	Creative or message problem	Opening seconds, first frame, promise, product clarity, format, and whether the ad fits the placement
People watch or click, but traffic is expensive	Message-to-audience mismatch or auction pressure	Outbound CTR, CPC, CPM, audience, placement, and comparison period
Clicks arrive, but few landing-page views register	Load, tracking, or accidental-click problem	Page speed, broken URLs, redirects, browser/device behavior, pixel and analytics events
Landing-page views arrive, but few people add to cart or inquire	Page, offer, product, or traffic-quality problem	Message match, price, trust, mobile experience, stock, shipping, form friction, and audience intent
Purchases arrive, but scaling still loses money	Economics problem	Contribution margin, returns, discounts, fulfillment, creative cost, and allowable acquisition cost

This prevents the most common bad edit: changing targeting when the page is slow, or blaming the landing page when the ad never made the product clear.

If the ad is earning qualified clicks but the page is losing the sale, use our ads-versus-landing-page diagnostic to work through that handoff.

Compare like with like

A campaign average can hide more than it reveals. Before calling one ad a winner, compare it with ads serving the same objective, audience stage, placement mix, offer, attribution setting, and meaningful time window.

A prospecting video and a retargeting carousel are doing different jobs. So are an ad running during a promotion and one running after the discount ends. If the inputs changed, label the comparison instead of treating it as a clean test.

Meta offers A/B testing within its advertising tools, and its current Reels guidance explicitly recommends testing to understand campaign impact. The basic discipline still matters: change the variable you mean to test and keep the rest of the comparison as stable as the platform allows. Meta’s Reels ads guidance is one current example of that test-and-learn approach.

Use enough evidence for the size of the decision

You do not need a formal experiment for every operating decision. You do need more evidence when the decision is expensive or difficult to reverse.

• Low-cost, reversible decision: Fix a broken link, rejected ad, incorrect event, or obvious typo immediately.
• Directional creative decision: Look for the same pattern across enough comparable delivery that one unusual click or purchase cannot flip the conclusion.
• Budget decision: Check settled conversion data, conversion lag, and unit economics before making a material increase or cut.
• Strategic decision: Use a controlled test or a longer observation window when changing the offer, audience strategy, campaign structure, or landing page.

One purchase can be useful. It is rarely enough to rewrite the whole account.

What should you check during Meta’s learning phase?

During learning, focus on whether the campaign is set up to learn from the outcome you actually care about.

• Is the correct conversion event firing once and reaching the right account?
• Can the budget support the chosen optimization event at this product’s likely acquisition cost?
• Are ad sets split so narrowly that each one receives too little useful signal?
• Is the creative clear enough to earn attention from a cold audience?
• Does the landing page continue the promise made in the ad?
• Are you reading platform-reported conversions alongside actual orders, leads, refunds, and revenue?

If you make a meaningful edit, record it. Meta may send delivery back through preparing or learning after certain changes, but the practical problem is broader: unlogged edits make your own before-and-after comparison harder to trust.

A practical Meta ads optimization log

Copy this into a spreadsheet or account note before the next change:

Field	What to record
Decision date and owner	Who made the call and when
Business question	The one thing this change is meant to answer
Comparison	Campaigns, ads, audiences, placements, offers, and dates being compared
Evidence	Spend, reach, attention, outbound traffic, landing-page actions, conversions, and actual business outcome
Known confounders	Promotion, inventory, tracking, site change, seasonality, or creative mix
Change	The exact edit made
Expected result	Which metric or behavior should move if the diagnosis is right
Next review	A date based on expected delivery and conversion lag

This is less exciting than frantically toggling ads. It is also how you avoid making the same “optimization” three times.

When should you act immediately?

Patience is useful only when the campaign is capable of producing valid evidence. Act now when:

• the destination is broken, slow, misleading, or out of stock;
• the wrong event is firing or purchases appear to be counted twice;
• the ad has a factual, policy, brand-safety, or legal problem;
• spend is materially outside the approved limit;
• the offer or creative creates a customer experience you would not knowingly fund.

For tracking problems, start with our guide to duplicate purchase conversions. If the concern is declining creative response rather than setup, use the Meta creative-fatigue diagnostic before replacing a good ad for the wrong reason.

When should you leave the campaign alone?

Leave it alone when delivery is still thin, the result is within normal account volatility, the conversion window is incomplete, or the team cannot yet say what the proposed change would fix.

“Let it run” is not the strategy. The strategy is to set the decision in advance: what evidence you need, what would count as a meaningful difference, and when you will review it. Then stop checking the account every twenty minutes.

If you need help building that operating rhythm, BPM’s paid social team manages campaigns on a retainer rather than a percentage of spend. That keeps the incentive on making the right budget decision, including when the right move is to cut.