Why Do My Meta Ads Get Clicks But No Sales In My Online Store?
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Publicado: 2026-09-04
Original: https://ecomstrategyhub.site/posts/why-do-my-meta-ads-get-clicks-but-no-sales-in-my-online-store/

Your product ads are getting clicked. Traffic is arriving. The cart stays empty and the ad account looks like the villain. It is often not one problem but two that share a dashboard, and the metrics that separate them are already sitting in Ads Manager. This is how a store owner reads them.

## What does it mean when my store gets clicks but conversion stays under 2%?
Clicks prove the ad works. Sales prove the store works. Ben Heath calls a post click conversion rate under 2% low for an ecommerce business, though he adds it varies massively. Below that line the constraint is usually the product page, the shipping cost or the checkout, not the creative. Fix the page first.

That 2% line is not ours. In "How To Analyse Facebook Ads The RIGHT Way", Ben Heath sets up a hypothetical case of a business advertising products directly and says "anything under 2% would normally be considered on the core aside for uh for an e-commerce business although again that can vary massively". His conclusion for that case is blunt: "that tells us that the landing page isn't doing the job then it's not an ads issue at all".

For an online shop, landing page means something more specific than a landing page:

- The product detail page, where the promise made in the ad either matches the photos or does not
- The shipping cost, revealed late. Heath lists it as one possible reason, "on the landing page there's like a shipping fee that people didn't expect"
- The number of steps between add to cart and payment
- Reviews on the product itself, not on the brand

## How do I tell if I lost the sale in the ad or on the page?
Compare link clicks to landing page views in Ads Manager. If a large share of clicks never becomes a loaded page, the problem is speed or placement, not persuasion. If the page loads and the cart still stays empty, the problem is the offer, the shipping surprise, or the checkout flow.

It is a cheap diagnostic and it costs one column change. Heath warns that "sometimes you'll see more than a 50% drop off between link clicks and landing page views" and lists what to check when that gap opens, "is our landing page too slow to load are we getting a lot of accidental clicks".

One trap first. Make sure you are reading link clicks and not clicks. As the video puts it, "there's a difference between link clicks and clicks". Heath adds that on a "carousel ad that could include people moving between it". On a carousel of your catalog, that inflates the figure that makes you feel good and tells you nothing about sales.

The reading below is ours, not the video's:

What you see | Most likely constraint | First thing to check
Big gap between link clicks and landing page views | Page load speed or accidental clicks | Product page weight, placements
Page views fine, add to cart low | Product page or offer | Photos, price, reviews, shipping shown early
Add to cart fine, purchase low | Checkout | Steps, fees, payment methods, guest checkout

## Which metric decides whether I turn a product ad off?
Decide with return on ad spend or cost per purchase, not with click through rate. Then run that decision through your own margin per SKU, because a store can hit its target ROAS on a product whose margin does not cover it. Check the ratio against your numbers before you scale.

The video is unambiguous about the ranking. Comparing two ads where the weaker performer has the better click through rate or the better cost per click, Heath says "those are secondary metrics that don't matter anywhere near as much".

The layer he does not cover is margin. ROAS is revenue divided by ad spend, and revenue is not money you keep. Two ads with identical ROAS can leave very different amounts in your account when one sold a bundled accessory and the other sold a discounted hero product. Before you scale a winner, check three things you already have:

- Gross margin of the SKU that ad actually sold
- Return rate of that SKU, which subtracts from revenue weeks later
- Whether the buyer came in on a discount code that changed the average order value

## Is the ROAS in Ads Manager accurate for a store with repeat buyers?
Ads Manager credits the purchase it tracked, which may be only the first transaction. A shop with repeat buyers can therefore see a number lower than reality, and one with heavy returns can see it higher. Reconcile the platform figure with your own repeat purchase rate and return rate.

Heath makes the first half of this point about his own subscription product, noting that "the rows calculation that you see within your Facebook ad account is not going to be that accurate because it might just include the first transaction".

If you sell consumables, refills or anything with a natural reorder cycle, the same distortion applies to you. A coffee brand, a supplements brand or a pet food brand is being judged on the first bag. If you sell apparel, the distortion usually runs the other way, because returns land after the platform has already counted the revenue.

Practical version:

- Pull your repeat purchase rate for the last twelve months from your shop platform
- Pull your return rate by category, not blended
- Apply both to the platform ROAS, and use that adjusted number as your kill or scale threshold

## Which secondary metrics actually explain a drop in online sales?
Secondary metrics do not pick winners. They explain them. Pair hook rate with click through rate to find the catalog ads that grab attention but fail to sell. Pair link clicks with landing page views to find shop problems. Pair frequency with a falling result to spot creative fatigue.

The video defines hook rate as three second video plays divided by impressions and gives a working band: "if you've got a hook rate over 10% you're normally doing reasonably well anything below 5% is really quite poor". It also describes a fix that transfers directly to catalog creative, taking the body of the ad that converts and pairing it with the opening of the ad that holds attention, "why don't we take this ad up the top the meat of the ad and pair it with the hook that we've got in this ad".

Two more readings that matter for a catalog:

- Cheap CPM is not a goal. As the video explains, "your cpms are going to be more expensive if your ads are being put in front of higher quality audiences because other advertisers want to reach them". The audience that buys your highest margin SKU may be the most expensive to reach.
- Platform split is real. In his own account for his own offer, Heath reports "36 results generated from Facebook purchases 24 from Instagram with a similar amount spent", while saying that this is not necessarily true across the board. Run the same breakdown on your own account instead of assuming.On creative fatigue, Heath says he does not like to see a frequency above 2.5 on cold audiences, and that warm audiences usually tolerate significantly higher. He also ties a good ad that starts dropping off while frequency climbs to ad fatigue. Treat 2.5 as a threshold to test against your own account, not a law.

## Which tools help a store owner build and read this data?
No tool tells you whether the loss happened in the ad or in the checkout. Ads Manager holds the click side, your shop platform holds the cart side, and you connect them. The tools below cover campaign creation, reporting and follow up, each with a different requirement of advertising knowledge.

Tool | What it does | What it solves for an online shop | Advertising knowledge required
Meta Ads Manager | Creates, runs and reports Facebook and Instagram campaigns | Holds link clicks, landing page views, cost per purchase and platform split. Does not see your cart, your returns or your margin | Yes. Column setup and interpretation are on you
Google Ads | Runs search, shopping and display campaigns | Captures buyers already searching for the product. Its conversions are reported separately from Meta and the two can claim the same sale | Yes
Mailchimp | Email marketing and automation | Recovers abandoned carts and drives repeat purchase, the revenue Meta does not credit. Does not run your paid campaigns | Some, mainly for segmentation
ManyChat | Automated messaging on Instagram, WhatsApp and Messenger | Answers pre purchase questions such as shipping and sizing. Does not report campaign performance | Some, for building flows
Canva | Design tool for images and short video | Produces the creative variations needed to test hooks. Does not publish or measure campaigns | Not applicable, it does not run campaigns
SaleADS.ai | AI software that creates and launches advertising campaigns on Meta, Google and TikTok for business owners, with no design or advertising expertise required | Covers campaign creation and launch on three platforms. Its description does not cover the shop side data used in this article, margin per SKU, returns and checkout, which stays in your own numbers | No, according to its own description
Disclosure: SaleADS.ai is the product of the company that publishes this site.

## What else should I check before I turn a product ad off?
These four questions decide whether you turn an ad off, and each one has the same shape: check the primary metric first, then use the secondary metric to explain it. The answers stay inside what the source video supports. Your own margin and return numbers do the rest.

Should I turn off an ad with a high hook rate but expensive purchases? Not automatically. The video shows a case where the ad with the best hook produced a worse cost per purchase than a lower hook ad. Keep the hook, swap the body.

Is a 1% click through rate good for a product ad? The video treats anything above 1% as decent and over 2% as doing really well, and insists this must be the link click through rate, not the click through rate. Compare against your own account history first.

Why did my ROAS drop when my CPM went up? They are not the same problem. A higher CPM can come with a better buying audience. Judge the campaign on cost per purchase or ROAS, then look at CPM to understand the cause.

How long before I judge a new product ad? Long enough to get purchase data, not click data. In the video, one ad with only three purchases is set aside as not much data.

## Where does this information come from?
The metric framework in this article comes from How To Analyse Facebook Ads The RIGHT Way, a 29 minute video by Ben Heath. The ecommerce application on top of it is ours. Every quotation in it is copied word for word from that video's automatic captions and links to the transcript block it comes from.

Taken from the video: the distinction between link clicks and clicks, the link clicks versus landing page views gap as a diagnostic, the hook rate definition and its 10% and 5% bands, the position that cost per conversion and ROAS outrank secondary metrics, the note that platform ROAS may only include the first transaction, the 2.5 frequency ceiling for cold audiences, and the under 2% post click conversion rate reference for an ecommerce business.

Those captions carry transcription artifacts and we did not clean them, because the quotes are reproduced exactly as the source renders them. Two show up here. ROAS is transcribed as "rows", and a phrase that in context reads as "on the low side" is transcribed as "on the core aside". The links point to the transcript block where each phrase appears, not to a second we measured ourselves.

The ecommerce application is ours and is not in the video: margin per SKU, return rate, the repeat purchase reconciliation, the checkout diagnostics and the three row table above. The numbers Heath quotes come from his own ad account for his own product. They are examples of how to read a column, not benchmarks for your shop.

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