The search that brought you here usually happens at a specific moment: the campaign has spent a few hundred or a few thousand dollars, the clicks are arriving, and the sales are not. The instinct at that moment is to blame the machine, rebuild the campaign, restack the interests, duplicate the ad set. Resist it. After auditing hundreds of Meta accounts in this exact condition, I can tell you the failure is almost always in one of five places, they are diagnosable in an afternoon with numbers you already have, and the ad account itself is the least likely suspect of the five. Work them in order.
First: the measurement is broken, and you may be converting more than you know. Before touching anything creative, verify the pixel and the Conversions API are firing, deduplicating, and receiving real event values; test a purchase yourself and watch it land. Signal loss did not just reduce Meta's targeting data, it punched holes in its reporting, and an account without server-side events can be blind to a meaningful fraction of its own conversions while iOS traffic slips past the pixel entirely. I have watched teams kill profitable campaigns because the dashboard could not see what the bank could. Reconcile platform-reported purchases against your store's actual orders from paid social sessions before you believe the word "not converting" at all.
Second, and most common: the traffic is real but the offer is answering a question nobody asked. Meta is cold traffic; these people were watching a video of a dog thirty seconds ago. An ad and landing page built the way search pages are built, product, features, price, assumes a motivation the visitor does not have yet. The tell is in the numbers: healthy click-through rate, normal landing page dwell, and a conversion rate near zero means people are curious and then unconvinced. That is not a targeting problem. That is an argument problem, and the fix is creative that supplies the motivation, problem, tension, demonstration, proof, before the pitch. This is the deeper meaning of the platform era's biggest shift, which is that broad targeting won, creative is the targeting now: on Meta, the ad does not find buyers, it makes them, and an account with three tired concepts cannot make many, the arithmetic I walked through in you do not have a targeting problem, you have three ads.
Third: the page is losing customers the ads created. Pull the boring numbers: mobile page load time, since nearly all of this traffic is mobile and every second of load bleeds conversions; message match, whether the page's first screen restates the promise of the specific ad clicked; and friction, forced account creation, surprise shipping, a checkout with the ergonomics of a tax form. A two percent conversion page is not neutral infrastructure, it doubles your acquisition cost against a four percent page, and in my audits the page explains failed accounts more often than any ad-side variable, which is why your landing page is killing more campaigns than your media, and why the benchmark culture around page metrics deserves the skepticism I gave it in landing page benchmarks are a comfort blanket.
A rescue that shows the order of operations paying off: a skincare brand arrived spending $40,000 a month at a reported 0.9x ROAS, convinced Meta had stopped working. Step one found the Conversions API misfiring, deduplication broken, roughly a quarter of purchases invisible; true ROAS was 1.4x. Still underwater against their 2.2 break-even. Step two found three creative concepts, all product-on-white-background, all speaking to people who already understood the category. Six weeks of problem-led creative, five new concepts monthly, moved click-through from 0.7 to 1.6 percent. Step three cut mobile load from 5.8 seconds to 2.1 and killed a forced account wall, lifting page conversion from 1.4 to 2.9 percent. Final state: 2.8x on honest measurement, same platform, same product, same budget. Not one targeting setting changed in the entire engagement.
Fourth: the economics were never there, and the campaign is performing exactly as physics allows. Compute your break-even the way I laid out in what is a good ROAS: one over gross margin, adjusted for what an order must fund. A $45 product with $18 of margin, cold traffic converting at 1.5 percent, and $1.20 clicks does not have an optimization problem; it has an arithmetic problem, and the honest fixes are structural: raise average order value, build the offer around a subscription or bundle, or accept first-order loss against a measured repeat rate. No amount of campaign surgery beats a unit-economics wall.
Fifth, only now, the account itself. Check that the optimization event matches your actual goal, purchases, not add-to-carts, if purchases are what you need, and that the account exits learning with enough weekly conversions to feed the algorithm, roughly fifty per ad set per week as the working floor; below it, consolidate ad sets rather than fragmenting further. Check frequency against the decay math from ad fatigue has math, use it. And then stop checking, because the settings tabs contain maybe ten percent of the problem and one hundred percent of the fidgeting.
One diagnostic worth keeping on a card: divide the funnel into its three conversion ratios, click-through rate on the ad, click-to-page-engagement, page-to-purchase, and compare each against your own history rather than industry benchmarks, for the reasons benchmarks deceive that I covered in what is a good ROAS. A collapse in the first ratio is creative. A collapse in the second is speed or message match. A collapse in the third is offer or friction. The platform's dashboard buries these three numbers under forty others, and the forty are where the fidgeting lives.
The pattern across every rescue I have run: teams debug in exactly the wrong order, deepest-in-the-account first, because that is where the platform's interface points their attention. Debug in the order above, measurement, message, page, math, machine, and most "Facebook doesn't work for us" stories resolve in a week into something specific, fixable, and rarely Facebook.
Quick answers
Why are my Facebook ads getting clicks but no sales?
The break is usually downstream: a landing page that restarts the conversation, forms that punish phones, offers that read differently after the click, or tracking that miscounts what did happen. Audit the sequence before blaming the audience.
How do I diagnose a leaking funnel?
Follow one click end to end on a phone: message match, load speed, form friction, payment steps, and whether the conversion actually fires. The failure point is almost always visible within five minutes of honest clicking.