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The State of Conversion Tracking in 2026: What the Sourced Data Shows

Sourced 2026 conversion tracking data: 30% of users block ads, 21% of page views come from Safari or Firefox, and server-side gains run 8% to 19%.

(Updated )
14 min read
The State of Conversion Tracking in 2026: What the Sourced Data Shows

Key Takeaways

  • •No source we could verify measures the share of conversions that pixel-only tracking misses in total. Figures such as 30-45% circulate widely without a primary source, so this report does not state one.
  • •The measured pieces are narrower: 29.5% of internet users aged 16+ use an ad blocker (GWI, Q2 2025), Safari and Firefox supplied 21.0% of page views worldwide and 33.7% in the United States (StatCounter, September 2026), and Adjust measured a 38% App Tracking Transparency opt-in rate (Q1 2026).
  • •Server-side delivery shows gains of 8% to 19% on platform-reported measures, and +16% on average in one independent five-account test, ranging from -3% to +33%.
  • •Chrome still allows third-party cookies and has 66.5% of page views worldwide. The rules that cut tracking are Safari's 7-day and 1-day caps on script-written cookies, ad blockers and consent choices, not a Chrome cookie ban.
  • •Layers of loss multiply rather than add. Three layers that hide 10%, 8% and 5% of conversions leave 78.7% visible, so server-side delivery would need to add about 27% to restore the total.
Data verified
Sources
17 cited
Coverage
Worldwide and United States
Period
2021 – 2026
License
CC BY 4.0

What is the state of conversion tracking in 2026?

Pixels still see most conversions, but several independent mechanisms each hide some, and no published source measures the total. What can be measured is the pieces: about three in ten internet users run an ad blocker, about one in five page views comes from Safari or Firefox, and platforms report server-side gains of 8% to 19% on their own measures.

This page summarizes the sourced figures from our three research reports and shows how to combine them. Every figure links to its publication in Sources and methodology, and the date at the top shows when we last re-checked it.

Measured figures at a glance

MeasureValuePeriodEvidence typeDetails
Internet users aged 16+ using an ad blocker at least sometimes29.5%Q2 2025Survey (GWI)Ad blocker statistics
Global ad-blocking rate30.0%2025Vendor estimate (eyeo)Ad blocker statistics
Safari and Firefox share of page views21.0% worldwide; 33.7% in the United StatesSep 2026Sampled measurement (StatCounter)Cookie statistics
Chrome share of page views66.5% worldwide; 53.9% in the United StatesSep 2026Sampled measurement (StatCounter)Cookie statistics
Safari cap on script-written cookies7 days; 1 day after tracked linksCurrentDocumented rule (WebKit)Cookie statistics
App Tracking Transparency opt-in rate38% globally; 34% for e-commerce appsQ1 2026Vendor measurement (Adjust)Cookie statistics
Server-side gain, independent test+16% tracked conversions on average, from -3% to +33%5 monthsSmall independent testBenchmark report
Server-side gain, platform-reported8% to 19%, on different measuresVaries by platformPlatform-reportedBenchmark report
Invalid traffic, open programmatic23% web, 36% mobile app, 21% CTVQ4 2025Vendor measurement (Pixalate)Benchmark report

What does no source measure?

No source we could verify gives the share of a typical store's conversions that are missed once ad blockers, browser rules, consent choices and checkout redirects are combined. Ranges such as "30-45% of conversions invisible" or "95-99% capture with server-side tracking" appear in many articles, but we could not trace them to a primary publication. Earlier versions of this report included some of them, and they are listed under Corrections and updates.

Which browsers limit tracking in 2026?

Safari blocks all third-party cookies, Firefox confines each one to the site that created it, Edge blocks storage for classified advertising trackers, and Chrome allows them by default. Safari and Firefox together supplied 21.0% of page views worldwide and 33.7% in the United States in September 2026.

BrowserWorldwideUnited StatesDefault toward third-party cookies
Chrome66.45%53.89%Allowed; users can block them
Safari18.20%30.35%All blocked
Edge6.02%7.52%Blocks storage for classified trackers at the Balanced default
Firefox2.79%3.33%Partitioned per site

Safari also limits cookies that a site's own scripts write. WebKit documents that it deletes them after 7 days without interaction and caps them at 1 day when a tracker-classified site sends the visitor to a URL with a query string or fragment. Those rules reach every iOS browser outside the EU and Japan, because Apple requires them to use WebKit.

Google kept third-party cookies in Chrome and retired most of the Privacy Sandbox APIs in October 2025. The share of Safari and Firefox rose from 16.0% to 21.0% worldwide between September 2025 and September 2026, but StatCounter is a sample and year-over-year changes can reflect detection changes. Details, the exposure calculation and the limitations are in our third-party cookie statistics.

How many people use ad blockers in 2026?

An estimated 1.1 billion people used ad blockers in Q4 2025 according to eyeo, and 29.5% of internet users aged 16 and over said they use one at least sometimes in GWI's Q2 2025 survey. The count is rising while the share is falling, because the internet population grew faster.

MeasureValueSource type
Active ad-blocking users1.1 billion (448M desktop and 629M mobile)Vendor estimate
Mobile share of ad-blocking users58.4%Calculated from eyeo's counts
Global rate, 202137.0%Vendor estimate
Global rate, 202530.0%Vendor estimate
GWI survey rate, Q2 202332.8%Survey
GWI survey rate, Q2 202529.5%Survey

The two headline numbers count different things. On a base of 6.04 billion people online, 1.1 billion users is 18.2%, not 30%, and we could not reconcile eyeo's statement that its cohort represents 30% of the internet population with its own user count. Cite the count and the rate separately. Country rates, filter-list coverage and the CPA effect are in our ad blocker statistics.

How much does server-side tracking add?

Platforms report gains of 8% to 19% on their own measures, and the one independent test we found averaged +16% tracked conversions with a wide spread. Each platform measures something different, so the figures cannot be averaged into a single recovery rate.

SourceResultMeasures
Meta17.8% lower cost per result, on averageConversions API versus none, web events
TikTok19% more events and a 15% better CPAPixel plus Events API
Google8% incremental ROAS on Search99 conversion lift studies, enhanced conversions
Workshop Digital+16% tracked conversions on average, from -3% to +33%Five accounts, Google enhanced conversions

These are company claims or small tests, not audits. The method behind each, and a vendor case study that we recalculated, are in our benchmark report.

How do uplift and loss relate?

Uplift is measured against what the pixel saw, and loss is measured against what actually happened. If server-side delivery adds u percent more conversions, the pixel missed u divided by (1 + u) of the total.

Reported upliftShare of conversions the pixel missed
+10%9.1%
+16%13.8%
+25%20.0%
+50%33.3%

How much ad traffic is invalid?

Pixalate measured invalid traffic of 23% for web, 36% for mobile apps and 21% for connected TV in global open programmatic advertising in Q4 2025. Those rates describe programmatic inventory, not paid search or paid social, so they do not tell you how many of your Google Ads or Meta clicks are invalid.

We found no primary published invalid click rate for Google Ads or Meta. Bot traffic can inflate conversion counts instead of removing them, so the effect on tracking runs in the opposite direction from ad blockers. Compare clicks with sessions and filter known bots before events reach the ad platforms. Our bot traffic statistics show the sourced bot shares and the formulas for how bots distort conversion rate and CPA.

How do the layers of loss compound?

When several mechanisms each hide a share of conversions, the visible share is the product of what each leaves, not the sum of what each removes. Three layers that hide 10%, 8% and 5% leave 78.7% visible, so 21.3% is missing and server-side delivery would need to add about 27% to restore the total.

LayerShare of conversions hiddenShare still visible
Ad blockers10%90.0%
Browser cookie rules8%82.8%
Declined consent5%78.7%

The inputs here are examples, not measurements, and the formula assumes the layers are independent. In practice they overlap, for instance when one visitor has both an ad blocker and Safari, so the true visible share is usually higher than the product suggests. Replace each input with a number from your own data.

If blockers hide a share h of your conversions from the pixel, your reported CPA is the real CPA divided by (1 - h). At 30% hidden, the reported CPA looks 42.9% higher than the real one.

How can you measure your own conversion gap?

Compare orders in your store backend with the conversions each ad platform reports for the same period, then split the difference by browser and device. That comparison is the only measure of loss that applies to your audience.

StepWhat to doWhat it tells you
1Export orders for a fixed period, with the browser or user agent if you store itThe true number of conversions
2Export conversions from each ad platform for the same period and attribution windowWhat each platform can see
3Compare totals, then Safari against ChromeWhether Safari traffic is under-reported
4Check how many orders have a stored click ID, by browserHow often the click ID survives to purchase
5Check Meta's Additional Conversions Reported and event coverage after enabling server-side eventsThe platform's own estimate of added conversions

Attribution models differ, so expect a gap even with perfect tracking. Look for a gap that is larger in Safari than in Chrome, or one that grows after a browser update. For setup, see our guides on server-side tracking and Event Match Quality, and our page on server-side tracking.

Why do other 2026 tracking reports show different numbers?

They often mix denominators, combine surveys with measurements, or repeat figures that were never sourced. Three patterns explain most differences.

PatternExampleHow to check
Uplift read as lossA +25% uplift quoted as "25% of conversions missed"A +25% uplift means 20.0% were missed
Count read as rate1.1 billion ad-block users quoted as 30% of the internetOn 6.04 billion people online, 1.1 billion is 18.2%
Vendor result read as universalOne store's 18.4% click-ID uplift quoted as the server-side recovery rateIt covers one store and one measure

A fourth pattern is ranges with no origin, such as "20-40% of conversions recovered" or "95-99% total capture". We searched for a primary source for each and found none, so this report does not repeat them.

Frequently Asked Questions

What percentage of conversions does pixel-only tracking miss?

No source we could verify measures it for a typical store. The measured components are 29.5% of internet users using an ad blocker, Safari's 7-day cookie cap and 33.7% of US page views from Safari or Firefox. Compare your backend orders with platform conversions to find your own figure.

Did Chrome remove third-party cookies?

No. Chrome still allows third-party cookies by default, and Google said in April 2025 that it would not add a standalone prompt. Safari blocks them all, and Firefox partitions them per site.

How many people use ad blockers?

eyeo estimates 1.1 billion active ad-blocking users in Q4 2025, and GWI's survey found 29.5% of internet users aged 16 and over use one at least sometimes. The two figures count different things and do not reconcile, so cite them separately.

Is server-side tracking worth it?

Published gains range from 8% to 19% on platform-reported measures and +16% on average in one independent test, so the value depends on how many conversions your pixel misses today. Measure that gap first, then decide.

Is Event Match Quality linked to lower CPA?

Meta publishes no figure that links Event Match Quality scores to cost per result. Meta says high-quality matching may improve attribution and performance, and it offers Additional Conversions Reported as the account-level measure.

Sources and methodology

Primary sources

How we verified the figures

  • This page summarizes figures that were each read from the original publication for our ad blocker, third-party cookie and benchmark reports. Those pages show the page numbers and calculations.
  • Calculated values use only the inputs shown: uplift loss is u divided by (1 + u), mobile share is 629 divided by 1,077, and the layered example multiplies the share still visible at each layer.
  • Evidence types are our labels: platform-reported means the company that sells the ads published it, vendor means a company that sells related tools did, and independent means neither.

Limitations

  • Several sources have an interest in the topic. eyeo makes Adblock Plus, Adjust and Pixalate sell measurement and fraud tools, and the ad platforms sell the advertising.
  • StatCounter is a sample of page views from sites that use its code, not a census of web traffic.
  • The Workshop Digital test covers five accounts and Google Ads leads, so it does not generalize.
  • The layered-loss example uses assumed inputs and assumes independence.

Corrections and updates

  • October 7, 2026: Rewritten from the version published September 15, 2026. We removed figures we could not trace to a primary source or that disagreed with the one we found: Chrome 71.4%, Safari 14.8%, Firefox 2.3% and Edge 4.7% of page views (StatCounter's September 2026 figures are 66.45%, 18.20%, 2.79% and 6.02%); "17-20%" of web traffic as cookieless (measured: 21.0% for Safari and Firefox); server-side adoption of 12% rising to 34% of e-commerce sites; a 30-45% pixel-only conversion gap and the pixel coverage rates by audience segment; 15-25% ATT opt-in and 75-85% opt-out (Adjust measured 38% opt-in); 95-99% total conversion capture; 20-40% more attributed conversions and 13-25% lower CPAs within 30 days; the affiliate server-side adoption trajectory; the 47.2% bot share of web traffic; and the 37% desktop ad-blocker rate and revenue example based on it.

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