Because ad platforms are not neutral reporting tools. They're sales tools. And when you understand that, the numbers start to tell a very different story.
#Why Ad Platforms Are Built to Look Good
Google and Meta make money when you spend money. That's not a conspiracy - it's just their business model. And because of that, every dashboard, every automated recommendation, and every default report is designed to show your campaigns in the most favourable light possible.
Default attribution windows are generous. Conversion events are often broadly defined. Metrics that sound meaningful - like "reach" or "post engagement" - get surfaced prominently, while cost-per-lead or return on ad spend get buried.
This isn't necessarily malicious. But it does mean that if you take the dashboard at face value, you'll often think things are working better than they are. And that's an expensive mistake for a small business to make.
#The Metrics That Sound Important But Aren't
Let's call out the big offenders.
Impressions and reach tell you how many times your ad was shown or how many people potentially saw it. They say nothing about whether anyone cared, clicked, or bought.
Click-through rate (CTR) can look great while still sending low-quality traffic. A 5% CTR means nothing if the people clicking aren't your customers.
Cost per click (CPC) is useful context but not a performance indicator on its own. Cheap clicks from the wrong audience are just cheap wasted spend.
"Results" on Meta is one of the sneakiest. Meta will happily report "results" based on whatever optimisation event you chose - which might be a landing page view, a video watch, or a click. Not a sale. Not an enquiry. A click.
These metrics aren't useless - but they're not the finish line. Treat them as signals, not success.
#The Numbers You Should Actually Be Watching
The metrics worth your attention are the ones closest to money.
Cost per lead (CPL) - how much are you paying for each genuine enquiry or form fill? This is the number most service businesses should be obsessing over.
Cost per acquisition (CPA) - how much does it cost to get a paying customer? For ecommerce, this pairs with average order value to tell you whether you're actually profitable.
Return on ad spend (ROAS) - for every dollar you put in, how many do you get back in revenue? A ROAS of 3x means $3 back for every $1 spent. But - and this is important - platform-reported ROAS and actual ROAS are often very different numbers.
Conversion rate - of the people who land on your page, how many actually do the thing you want? If this is low, more ad spend won't fix it.
Track these in your platform, but always verify them against your actual business data - your CRM, your Shopify backend, your bookings system.
#How to Sanity-Check Your Platform Data
This is where Meta's attribution problem becomes a real issue - and it's worth talking about directly.
Meta uses a default attribution window of 7-day click and 1-day view. That "1-day view" part means Meta will claim a conversion if someone saw your ad and then converted within 24 hours - even if they never clicked it, even if they found you via Google, even if they were already going to buy. Meta gets the credit anyway.
The result? Meta routinely reports more conversions than actually happened. We've seen accounts where Meta claimed 40+ conversions in a week and the client's actual backend showed 12. That's not a rounding error - that's a fundamentally different story about whether the campaign is working.
To cut through this, compare your platform data against:
- Google Analytics 4 (GA4) - check actual sessions and conversions from paid social
- Your CRM or backend - how many real leads or sales came in during that period?
- Last-click data - strip out view-through attribution in Meta and see what's left
You can adjust Meta's attribution window in Ads Manager. Switching to 7-day click only is a more conservative and usually more honest view of performance.
None of this means Meta ads don't work - for many businesses they absolutely do. But you need to know what you're actually buying.
Google Ads Has Its Own Quirks Too
Google Ads is generally more conservative than Meta, but it still credits itself for conversions that may have been influenced by other channels. Running GA4 alongside Google Ads gives you a useful cross-reference, especially for multi-touch journeys where someone searched, left, came back via email, and then converted.
#What Good Performance Actually Looks Like
Good performance isn't green arrows on a dashboard. It's business results you can feel.
More calls. More form fills. More sales. More of the right customers walking through the door. If the ads are working, something in your business should be moving - and you should be able to trace it back.
A useful habit: before you open your ads dashboard, write down what happened in the business last week. More leads than usual? Quieter than normal? Then open the dashboard and see if the story matches. If Meta says you had 30 conversions and your inbox has tumbleweeds, that's your signal to dig deeper.
The goal isn't to distrust your platforms - it's to read them critically. Know what each metric is actually measuring. Know where the incentives lie. And always cross-reference against the real world.
#Frequently Asked Questions
Why does Meta report more conversions than I actually got?
Meta's default attribution model includes view-through conversions - people who saw your ad but didn't click it. This inflates reported numbers significantly. Switch your attribution window to 7-day click only in Ads Manager for a more accurate picture, and always cross-check against GA4 or your actual backend data.
Is Google Ads reporting more accurate than Meta?
Google Ads has its own attribution quirks, but it tends to be more conservative than Meta by default. That said, Google will still credit itself for conversions that may have been influenced by other channels. Using GA4 alongside Google Ads gives you a more complete view.
What's the easiest way to know if my ads are actually working?
Compare your platform-reported conversions against what's actually happening in your business - your CRM, your booking system, or your Shopify orders. If the numbers roughly align, you're in good shape. If there's a big gap, your attribution setup needs a closer look.
Should I ignore vanity metrics completely?
Not entirely - metrics like CTR and CPM can flag creative or audience issues. But they should never be your primary measure of success. Always anchor your reporting to metrics tied to real business outcomes.
How do I fix Meta's attribution problem?
You can't eliminate it entirely, but you can manage it. Adjust your attribution window to 7-day click only, ensure your Meta pixel and Conversions API are set up correctly, and use GA4 as an independent source of truth for your paid social traffic.
#Stop Reading the Dashboard on Its Terms
Ad platforms will always put their best foot forward. That's not going to change. Your job is to read past the surface and ask the harder question: is my actual business growing?
Start by identifying the two or three metrics that connect most directly to revenue for your business. Make those your north star. Then use everything else - impressions, CTR, reach - as context, not conclusion.
The businesses that get the most from their ad spend aren't the ones spending the most. They're the ones who know exactly what they're paying for.
This guide is written by Hedgehog, a DIY digital marketing consultancy specialising in small and medium businesses in Australia. We offer digital marketing consulting, coaching and training.
