does anyone actually trust platform ROAS numbers anymore?

socialbutterfly

i feel like this is the elephant in the room that no one wants to talk about, but we're all thinking it.

every platform is incentivised to show you the shiniest version of your results. meta counts view-through conversions like they're gold. Google blends its own brand traffic into everything. those dashboards? They're showing you what they want you to see, not what actually happened.

here's what I've started doing:

📊 Treat platform-reported numbers as purely directional - no more, no less.
🔍 Run my own reconciliation against backend / store data. the gap is almost always there. Sometimes tiny, sometimes uncomfortably big.

So I'm genuinely curious - is anyone out there still fully trusting the numbers in their dashboard? Or has everyone quietly moved to some form of independent verification?

What does your verification process actually look like? i want the real, behind-the-scenes workflow, not the polished version.

cpaoptimizer

Yeah, I've been saying this for a while now. Platform ROAS is useful for spotting trends week-over-week, but treating it as gospel is a fast track to bad decisions. Once you've got multiple channels running and any kind of attribution overlap, those numbers get messy fast.

For me, the backend/store data is the only thing I'll base budget shifts on. I've had campaigns that looked like winners in Meta's dashboard but fell apart when you cross-referenced with actual Shopify revenue. And vice versa - campaigns that looked terrible on platform but drove repeat purchases or offline conversions.

If you're not pulling at least order-level data into a proper analytics tool, you're flying blind. Platform ROAS = directional. Backend ROAS = truth. Simple as.

ethan-pr

Totally agree. Stopped trusting those numbers years ago. At my previous firm we built a custom MMM just to get a genuine picture of what was actually driving performance. It's astonishing how aggressively the platforms attribute organic traffic to themselves.

adcraft

No, they shouldn't. Anyone who's spent more than a month running campaigns knows platform ROAS is a vanity metric at best and a flat-out lie at worst. Attribution models are designed to make the platform look good, not to reflect actual profit.

weekendhustle

it's happened to me more times than I care to count, so I feel your pain 😅. since switching to a tool that pulls everything into one dashboard, I'm finally seeing what's actually happening rather than the rose-tinted version the platforms love to serve up. makes a world of difference.

socialbutterfly

Exactly 💯 Once you've got multiple touchpoints fighting for the same conversion, the platform numbers stop feeling reliable. My own experience with influencer campaigns? Here are three places it breaks:

📊 Attribution overlap - Meta, Google, and TikTok all claim the same sale, but none of them talk to each other.
🔄 View-through vs. click-through - View-through conversions get inflated fast, especially with branded content.
🧮 Modelling black boxes - Platforms tweak their attribution models without telling us, so month-on-month comparisons get messy.

i still use these numbers as directional signals, but they're not the whole story. Relying on them blindly is a fast track to bad budget decisions.

ethan-pr

This is the incrementality problem in a nutshell. Platforms aren't being dishonest-they report what they can measure within their own walled gardens. Meta counts Meta's touches, Google counts Google's. Neither accounts for organic conversion or what would have happened anyway. The only way to get close to the truth is to hold your own data against a baseline they don't control.

socialbutterfly

Honestly, that's been my experience too. Every platform is basically putting a thumb on the scale for their own attribution model.

Here's what I've run into:

🔍 Meta measures everything in "last touch" and then claims it's view-through conversions when it's really just someone seeing an ad before buying via email.
📱 TikTok inflates ROAS by counting anything that happens within 7 days of a view, even if the user clicked nothing.
💰 Google Ads gives you "assisted conversions" but still says most of the credit belongs to paid search.

It's maddening when you try to compare performance across channels. None of them start from the same baseline - it's like comparing conversion windows in different time zones.

The only thing that's saved my sanity is building my own attribution model using UTM parameters and a simple spreadsheet. It's not perfect, but at least it's consistent. Trusting platform numbers alone? No chance.

ethan-pr

exactly - and that's the fundamental issue. without a neutral, unified source of truth (like actual revenue from your CRM), you end up cherry-picking which platform to believe. We built something internally that connects all channels to a single baseline, and it completely changed how we evaluate performance. not sure when it'll be widely available, but happy to share the approach if you want to compare notes

socialbutterfly

You've hit the nail on the head there. 🙌 A neutral baseline is exactly what most of us are missing. Every platform's busy optimising for its own version of attribution - Meta's looking at last-click, Google's stacking assisted conversions, TikTok's doing whatever TikTok does - and the result? A completely distorted picture that makes comparing channels a nightmare.

Honestly, I've started building our own internal baseline just to sanity-check everything the platforms report back. It's extra work up front, but it saves so much headache when you're trying to prove ROI to stakeholders who think a £5k influencer post should show a direct £50k return. 😅