The data desk behind OpenAdLibrary. We turn the platform's corpus of captured native ads, advertisers and landing pages into original studies on what is actually running in the wild, methodology and sample sizes stated on every report.
First-party native advertising statistics for 2026, from live capture rather than surveys: 635,443 creatives, 27,256 advertisers and 5.87M observations across 46 networks — per-network volumes, the finance-led vertical mix, a majority non-English language split, and a longevity curve where 89% of creatives die within ~10 days.
Finance (18,727 creatives) and insurance (17,177) are the two biggest verticals in our 635,443-ad native index. Six real captured examples across Taboola, Outbrain and the Microsoft feed show the angles that run — retirement, IRS/tax, rate shock — and which ones the longevity data says endure.
Ten real Taboola creatives pulled live from a 171,050-ad index — with the advertiser behind each, how long it's been running, and the headline mechanism doing the work: eligibility hooks, casting-call angles, editorial blends, geo-personalization and offer-led cards.
The Microsoft Audience Network is the largest fresh source of native creatives we track — 257,553 new ads in 30 days — yet it has no ad library and almost no coverage. Here's how the MSN feed works, how its demand is resold through msft-ssp and adnxs wrappers, and how to research it.
Instead of another agency opinion, we answered 'is Taboola worth it' with data: 171,050 live Taboola creatives, the advertisers behind them, and the survival curve showing ~89% of native creatives die within 10 days. Verdict by advertiser type inside.
No MGID ad library exists — official or otherwise — until now. Inside the 54,585-creative MGID index: the entertainment-arbitrage economy, the direct-response layer, and the most international footprint in native.
Outbrain — owned by Teads since 2025 — publishes no ad library. We maintain the independent one: 92,290 live Outbrain creatives with advertisers, longevity and landing pages, and the workflow to use them.
No official Taboola ad library exists anywhere. Here is the independent one: 171,050 live Taboola creatives with advertisers, longevity, geo and landing pages, and how to use it for real competitive research.
Spend charts only update after the race is over, so to see what advertisers are scaling right now you read live native ad capture for longevity, spread, and variant signals. Here is the method, with real numbers from 589,000+ captured creatives.
DTC brands quietly buy native ads next to the arbitrage and nutra crowd, and here is a repeatable, data-backed method for surfacing which ones are live on Taboola, Outbrain, MGID and Revcontent this week, by category.
CPC and CTR benchmarks you can't verify are worthless; this study benchmarks the three signals you can observe from outside any ad account (creative volume, ad longevity, and category mix) using live capture of 589,000+ public native ads, and shows you how to reproduce every measure yourself.
You can't see a competitor's native spend, but you can count their live creatives and measure how long each one survives, and that gives you a defensible way to rank advertisers by share of voice in any vertical.
Native ads recycle a small set of recurring angles, and this is a working taxonomy of them plus a repeatable, results-weighted method for measuring which ones actually win, built from real captured creatives.
An ad that keeps spending week after week is telling you something a one-off scrape never can: here is how to rank native ads by lifespan, why longevity is the cleanest profitability signal on the open web, and how to run the analysis yourself.
Folklore says nutra and crypto own native, but across 589,000+ live-captured creatives finance, insurance and health actually lead; here's the method to measure native ads by vertical and network yourself.
Most "top advertiser" lists are guesses; this one is rebuilt from 589,000 live native creatives, classified by real advertiser, network and vertical, then ranked by spread and longevity.
There's no public list of Taboola advertisers, so here's the exact method we use to reconstruct one from 157,000+ captured Taboola creatives, click-trace landing pages, and supply-chain classification.
Copycat landing pages borrow a trusted brand's logo and tone to launder a scam through native-ad networks, and here is the practitioner's method for catching them with evidence anyone can verify.
Most "best vertical" lists are opinion, so we ranked native-ad verticals using three things you can actually see in live ad data: advertiser density, creative volume, and how long ads keep running.
We read the public signals behind 589,000+ live native creatives to show which hooks, images and headline structures actually survive, and how to run the same pattern analysis on real running ads instead of guessing.
Published CPC ranges for Taboola, Teads, MGID, and Revcontent only tell half the story; here is how to read live advertiser density and longevity to know what a click is really worth before you fund a test.
A data-led comparison of MGID and Revcontent using the real advertiser mix, vertical breakdown, and ad longevity we've captured from each network's live creatives.
Outbrain bought Teads and the parent now trades as Teads, so here is how to compare the two networks using live ad data instead of vendor claims.
