How to Fix and Improve Your Facebook Feedback Score (2026)

You can’t “reset” a Facebook feedback score. You can only rebuild it. The score is a mirror of real customer experience, so moving it means fixing the things that feed it, then repairing the signal Meta has already banked. There’s no button here, and no safe shortcut. The accounts that come back are the ones that fix the actual problem at the source.

Here’s the shape of the work. From the problem, to the fix, to keeping it from sliding back:

Can you actually fix a Facebook feedback score?

Yes. Structurally, not with tricks. The Facebook feedback score reflects post-purchase customer surveys, so the only durable way to move it is to change what customers report experiencing. Buying reviews or faking feedback does the opposite. It’s the fastest route to a permanent penalty. Everything below is about improving the real experience, then letting the account recover.

The three things quietly damaging your score

Across the accounts we handle, almost every feedback problem traces back to one of these. And each one is something a scaling store hits eventually:

• Shipping and fulfillment. Delays, lost parcels, the “where is my order” floods. When delivery stretches past what your ad promised, complaints and disputes climb. That’s the exact post-purchase friction that feeds a weaker signal.
• Product quality and bad batches. One bad supplier batch, or a product that doesn’t match the photos, and refunds cluster fast. The damage often outlasts the batch. The signal lingers long after you’ve fixed the product.
• Customer experience and support. Slow or absent support, DMs that go unanswered, a refund spike. Unhappy customers who can’t reach you don’t stay quiet, and that experience is part of what Meta measures.

Here’s the encouraging part. When a store’s performance suddenly tanks while everything looks right on the ad side, the ads are rarely the problem. In our experience, fixing the customer experience is what fixes the performance the large majority of the time. Closer to 95% than 50%. That’s why the steps below are about operations, not media buying.

How to improve your Facebook feedback score, step by step

1. Close the gap between your ads and reality. Misleading claims and “too good to be true” offers generate the highest-severity complaints. Make your promises match what actually ships.
2. Fix fulfillment and set honest delivery expectations. Accurate shipping windows beat optimistic ones every single time.
3. Kill the top complaint triggers. Undisclosed charges and quality issues are among the most punishing categories. Remove them at the source.
4. Get proactive with post-purchase communication. Order updates, easy returns, fast replies. Fewer surprises means fewer negative surveys.
5. Repair the accumulated history. Improving experience today improves the new data, but it won’t instantly undo months of weak signals. Working through that backlog deliberately is what shortens the recovery.

The order matters. Fix the inputs first, then work the history. Do the second without the first and you just re-degrade the account.

How to protect your score once it recovers

The brands that never hit the feedback cliff treat this as infrastructure, not a one-off cleanup. They watch their refund and complaint patterns. They keep fulfillment tight as they scale. They build account structure that can absorb the occasional bad week. Recovery without protection just resets the same countdown.

This is exactly why the brands spending $30,000 to $50,000 a day don’t treat their score casually. At that spend, a single logistics disruption can make CPMs explode from one day to the next, and an unstable account gets expensive fast. In our experience, the operators who keep investing in the signal are the ones who stay stable and outcompete the stores that let it slide, especially in categories prone to shipping and product issues.

Fix it faster, with people who do this every day

You can do a lot of this yourself. Where it gets hard is diagnosing which signal is degraded and repairing the accumulated history without guesswork, which is where our team spends its time. Across 1,000+ e-commerce accounts, Unlimited Scaling’s feedback score optimization does exactly that: audit the signals, fix the root cause, and set up monitoring so it doesn’t come back. No guarantees, no shortcuts. Just the structural work, done faster.

What Meta actually asks your customers

The score doesn’t come from your page. It comes from a survey Meta pushes to people who bought after clicking your ad. Based on the surveys we see across client accounts, the questions cluster around five things: product quality, delivery speed, order accuracy, communication, and refunds & exchanges. The single worst answer a buyer can give is that they never received the item at all. That one carries far more weight than a lukewarm rating.

The timing is the part most stores miss. In our experience the survey typically lands within about three weeks of purchase. So if your delivery window runs past that, and the classic mistake is advertising or setting fulfillment at eight weeks, a large share of buyers get surveyed before their parcel arrives and truthfully answer “not received yet.” You didn’t scam anyone. You just built a shipping timeline that guarantees a bad answer. Pulling real delivery inside that three-week window is often the highest-leverage fix available, and it’s not one Meta documents anywhere.

The score you can no longer see (but Meta still keeps)

Here’s the shift almost nobody accounts for. Meta removed the publicly visible feedback score around October 2024 and has tested bringing it back on and off since. A lot of advertisers took that to mean the score is dead. Based on everything we see, it isn’t. Meta simply kept collecting the same customer feedback behind the scenes and stopped showing you the number.

That creates a trap. The public rating you can see (ratings & reviews in some Business Managers) and the internal signal Meta actually acts on are not the same thing. We routinely see stores sitting at a clean-looking 4.8 public rating while their delivery is still triggering complaints on the hidden side. And we see stores doing everything right that show almost no public data at all. So “my reviews look fine” is not evidence your score is fine. If your CPMs climbed for no obvious reason, the invisible signal is the first place we look, not the creative. See why your CPMs increased suddenly.

The rough bands, and why they set your ceiling

None of these thresholds are published by Meta, and the visible number is gone anyway. But for the years the score was public, the pattern we watched was remarkably consistent, and the underlying behaviour hasn’t changed. As a rough mental model from our own experience:

The point isn’t the exact cutoffs. It’s the shape. Small drops near the top cost you a little. Drops toward the bottom compound fast, and near the floor the practical outcome we’ve seen is having to move the business to a fresh domain and page rather than “recover” the old one. That’s why we treat the signal as something to defend early, not repair late. It’s the same logic behind the internal advertiser tiering that decides how much reach Meta is willing to give you.

Why a good score raises ROAS, not just delivery

Most guides frame the score as a gate. High enough and your ads run, too low and they don’t. In our experience it’s more than a gate. It shapes the audience Meta is willing to serve you. Meta’s system knows which users buy the most, and it’s far more comfortable putting a trusted, high-signal advertiser in front of those high-intent buyers. So two stores with identical creative and budget can see very different ROAS purely because one carries a stronger feedback signal. Lifting the signal doesn’t just keep you on the platform. It can move ROAS meaningfully, because you start getting served better traffic, not just more of it.

Use Trustpilot as a mirror of your hidden score

Since Meta hid the number, the practical question becomes simple. How do you even know where you stand? The proxy we lean on is your external reputation, Trustpilot especially. It isn’t the same system, but the two tend to move together. The things that sink a Trustpilot rating (late parcels, quality misses, poor support) are exactly what feeds the survey Meta runs. If your Trustpilot is sitting below 3, assume the hidden signal has room to improve too.

Two things make this actionable. First, get proactive after purchase. Reaching out to buyers early (a real person, not just an automated flow) catches the problem order before it becomes a negative survey, and it surfaces the insight about why people bought in the first place. Second, invite genuinely satisfied customers to leave a public review, so your visible reputation reflects your real one instead of only the loudest unhappy voices. Done honestly, both feed the same signal Meta is reading. And unlike the ad account itself, once it’s lost to a ban wave there’s often no way back.

FAQ

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Written by Mouss, founder of Unlimited Scaling, an agency that has helped 1,000+ e-commerce brands recover and protect their Meta ad assets. Based in Bali, he has spent 8+ years inside the mechanics of Meta’s ad ecosystem, from feedback scores to HIVA tiers to bans and appeals, and shares field data from real client cases. Follow him on Instagram @mouss_unlimitedscaling.