How Much Do Ad Blockers, iOS and Cookie Consent Cost Your Reported ROAS?
Enter your monthly ad spend and reported conversions, set what share of your visitors use ad blockers, Safari or iOS or decline cookies, and this free tracking loss calculator estimates the conversions missing from your reports, your real ROAS, and how much server-side tracking could recover. Every assumption is yours to change.
ROAS + AttributionFree Calculator
OfficialStape PartnerChange any number or slider. The estimate updates as you type.
These buttons only set starting values. Move each slider to match your own audience.
Get the Excel file with your numbers and assumptions.
I compare your ad platform numbers with your real orders or CRM leads, then set up server-side tracking to close the gap.
Three causes of missing conversions, and what they do to your numbers.
Visitors whose browser or extension blocks requests to ad and analytics domains.
Conversions that happen after Safari has expired the tracking cookie, so the sale is not linked to the ad.
Visitors who decline tracking in your consent banner.
An estimate of the conversions that happened but were not reported, with a low and high range.
The revenue those conversions represent, per month and per year.
Your reported ROAS and cost per conversion beside the estimated real figures.
How much of the blocker and Safari loss a server-side setup could bring back.
Your inputs, assumptions and results in one file to share.
Three steps, no sign-up, your numbers stay in your browser.
Monthly ad spend, the conversions your platform reports and what one conversion is worth.
Pick a starting point, then move each slider to match your own audience.
See missing conversions, hidden revenue, real ROAS and what server-side tracking could recover.
Ad platforms learn about a sale when a small script in the buyer’s browser reports it. Anything that stops that script, or breaks the link between the ad click and the sale, makes a real conversion disappear from your reports. The sale still happened. Your ROAS just looks worse than it is, and the ad platform has less data to optimise with.
The calculator works out what share of real conversions stay visible after each cause, using the percentages you set, and divides your reported conversions by that share. If only 70% are visible and you see 200, the real figure is about 286. The low and high range repeats the sum with your settings 30% lower and 30% higher.
It is an estimate, not a measurement. The sliders start at round example values, not data about your website, and real losses vary a lot by country, device mix and industry. Treat the result as a guide to the size of the problem. To measure it properly, compare the conversions your ad platform reports with real orders or leads from your store or CRM for the same period.
With server-side tracking, your website sends events to a server on your own subdomain, which forwards them through each platform’s Conversions API. Requests to your own domain are blocked less often, and cookies set by your server are not cut to seven days. It does not recover visitors who declined consent, and it should not: their choice must be respected.
What the same campaign looks like with 30% of conversions hidden.
| What the ad platform shows | What really happened | |
|---|---|---|
| Ad spend | $10,000 | $10,000 |
| Conversions | 200 | 286 |
| Revenue at $80 each | $16,000 | $22,880 |
| ROAS | 1.60x | 2.29x |
| Cost per conversion | $50 | $35 |
| Decision | Looks unprofitable, budget is cut | Profitable campaign is switched off |
See why ad platform sales never match your store.
Put a number on the attribution gap before a budget review.
Show a client the value of fixing tracking.
Understand how far reported ROAS may be from reality.
33 free tools for tracking, analytics, advertising and SEO. No login needed.
Upload a GTM container export to document every tag, trigger and variable and find unused, duplicate and risky items.
Open the GTM analyzer →Test consent defaults, your banner and the consent signals sent with each hit.
Open the Consent Mode checker →Test whether redirects strip gclid, fbclid and UTM parameters before visitors reach your page.
Open the redirect checker →Check pixel IDs, events, advanced matching, deduplication and catalog readiness.
Open the Meta Pixel checker →Hear from our clients. Loved by 600+ businesses worldwide.
“I had an excellent experience working with MD on my Google Ads account. Everything was set up perfectly and worked smoothly without any issues or troubleshooting needed. His expertise and attention to detail made the whole process effortless.”
“I worked with Niamul on multiple Google Analytics projects and was impressed by his expertise and precision. He has a strong grasp of tracking, reporting, and optimization, always ensuring accurate insights. He is proactive, reliable, and easy to collaborate with.”
“MD Niamul is extremely skilled. He fixed my Shopify, Google Analytics, and Google Ads conversion tracking perfectly. Everything works exactly as it should now, and he even added an extra data layer, which was very helpful. Outstanding service, fast delivery, and highly recommended.”
“Reliable, knowledgeable, and truly trustworthy. I’ve been working with Niamul for over a year, and he consistently delivers exceptional results across all analytics tasks. His expertise, communication, and commitment make him my go-to specialist for tracking, measurement, and data accuracy.”
“MD N delivered flawless Meta Pixel, CAPI, and server-side tracking. He understood our goals quickly, explained everything clearly, and ensured full transparency. Communication was smooth, updates were consistent, and the results improved our data accuracy and ad performance.”
Five-star reviews from businesses and agencies in the USA, Canada, UK and Australia.
Read All ReviewsYes. It runs in your browser, with no login. Your numbers are not sent anywhere unless you choose to email the estimate to yourself.
It is an estimate, not a measurement. It applies percentages you choose to your own figures. Real losses depend on your countries, devices and industry. Use it to judge the size of the problem.
They are round example starting values so the calculator shows something useful straight away. They are not measured data for your website. Replace them with your own numbers.
Your Safari and iOS share is in GA4 under Reports, Tech, Tech details. Your consent decline rate is in your consent banner’s dashboard. Ad blocker use is harder to measure: compare orders in your store with purchases in GA4 for the same period.
Safari limits cookies set by scripts to seven days, and to one day in some cases. A buyer who returns after that looks like a new visitor, so the sale is not linked to the ad.
No. It can recover much of the loss from ad blockers and short-lived cookies. It does not recover visitors who declined consent, and it should not.
Because budget decisions follow reported ROAS. A profitable campaign that looks unprofitable gets paused, and the ad platform’s algorithm optimises on incomplete data.
Compare conversions reported by the ad platform with real orders or CRM leads for the same dates and the same attribution rules. That comparison is the first step of a tracking audit.
I am MD Niamul, a conversion tracking and web analytics specialist and an official Stape partner. I audit the gap between your ad platforms and your real sales, then set up server-side tracking and Conversions API to close it.
