Native Advertising Trends: What 725,000 Live Ads Show

The clearest native advertising trends right now, read from a live index of 725,000+ creatives across 49 networks (July 2026): Microsoft's feed — not Taboola — is the single largest source of live native creatives; health, finance and insurance still absorb the most advertiser volume; MGID has become the de-facto home of entertainment and content-arbitrage inventory; and the network map itself keeps consolidating, with Outbrain now operating as Teads and Yahoo Gemini long gone. Below is what the live data shows, and a repeatable way to track these shifts yourself instead of reading about them a quarter late.

Most "trends" articles in this space are surveys of what marketers say they plan to spend. This one is built differently: OpenAdLibrary continuously captures live native placements — 6.8 million+ ad observations against 1.3 million+ landing captures — so the trends below come from what advertisers are actually running, not what they tell a survey.

Where native ad volume actually sits#

The distribution of live creatives across networks surprises most buyers the first time they see it:

Three takeaways from the table:

• The Microsoft feed is the quiet giant. MSN's native inventory — served through the Microsoft Audience Network across MSN, Windows surfaces and Edge — carries more live creatives in the index than any other single source. Buyers who equate "native" with Taboola-and-Outbrain are ignoring the largest feed on the open web; the MSN native ads guide covers how that channel works.
• The mid-tier is real. MGID and Revcontent together hold close to 80,000 live creatives. That's a lot of working spend on networks many agencies never test — and competition there is thinner.
• Volume is not quality. A network's creative count tells you where advertisers are active, not where your offer will convert. Use volume as a map of competition, then validate with the vertical data below.

Vertical trends: health, finance and insurance own the feed#

Across the whole index, the top classified verticals by live creatives are health (24,000+), finance (24,000+), insurance (22,000+), ecommerce (19,000+) and entertainment (18,000+), with software, travel and home & garden following. Three patterns inside those numbers matter more than the ranking itself:

• The money verticals cluster on premium feeds. On Taboola, health (11,900+), finance (8,200+) and insurance (7,400+) dominate the classified corpus; Outbrain's mix leans even harder into insurance and finance. These are the verticals where advertisers can pay for expensive clicks because the customer lifetime value supports it — consistent with the breakdown in top native ad verticals.
• Entertainment concentrates on MGID. Nearly 14,000 of MGID's classified creatives are entertainment — largely content-arbitrage and celebrity-adjacent material. That's a structural fact about the network's publisher base, and it's why traffic arbitrage players default there.
• Ecommerce is everywhere but leads nowhere. Ecommerce ranks top-five on nearly every network without dominating any of them. Native remains a discovery channel for products, not a bottom-funnel one — which is exactly why DTC brands use it to escape rising social CPMs, a trend covered in which DTC brands are running native ads.

What this means for budget allocation: if you sell into health, finance or insurance, native is a primary channel and your competition is sophisticated — expect proven advertorial funnels, aggressive creative testing, and auction prices that reflect high lifetime values. If you sell ecommerce or software, native competition is thinner and the opportunity is contrarian: fewer direct competitors in the feed, but you carry the burden of proving the channel for your category rather than following a beaten path. Both situations reward research before spend; only one forgives skipping it.

Consolidation keeps redrawing the network map#

The supply side of native has spent two years merging and rebranding, and the practical consequences show up in buyers' accounts:

• Outbrain acquired Teads and adopted the Teads name — the combined platform spans feed-style recommendations and premium in-article video/display. What that means for campaign setup is covered in Did Outbrain become Teads?.
• Yahoo Gemini is gone, folded into the Yahoo DSP; native inventory on Yahoo surfaces is now bought programmatically — the history and current buying path are in what happened to Yahoo Gemini.
• Baidu's MediaGo quietly built a real footprint on premium Western publisher supply, which is why it shows up in the volume table at all.

For a buyer, consolidation cuts both ways: fewer, bigger platforms simplify testing, but each merger reshuffles publisher supply and reporting mid-flight. The stable way to track who actually serves what is to classify from observed placements rather than press releases.

Creative and funnel trends worth watching#

Reading tens of thousands of fresh creatives per month makes some shifts hard to miss. Stated qualitatively — these are directional observations from the index, not measured statistics:

• Evergreen ads keep getting older. The longest-observed creatives in the index run for weeks without a refresh — calm, curiosity-driven headlines in home, health and finance. Longevity remains the single most useful public signal of a working ad, as argued in ad longevity as a winning signal.
• Search-style native units are spreading. A meaningful slice of Yahoo-served creatives in the index are literal "Search for X" units — native cards that funnel into search results pages. It's arbitrage economics wearing a native format.
• The advertorial funnel refuses to die. Ad → advertorial pre-lander → offer remains the default architecture for health and finance spend; the traced landing data behind our captures shows the same funnel shapes recurring across new advertisers.
• Regional advertisers are professionalizing. Non-English creatives — German, Spanish, Portuguese, Greek — make up a visible share of fresh captures, often running playbooks that mirror US winners a few months later. If you buy in Tier-2 geos, watching Tier-1 creative first is still an edge.

How to track native trends yourself#

A trends article is a snapshot. The durable advantage is a monitoring routine:

1. Watch new-advertiser flow in your vertical. A surge of new advertisers entering a niche is the earliest public signal that something is converting. OpenAdLibrary's ad intelligence platform surfaces newly seen advertisers and rising creatives across all 49 tracked networks, with a free tier to start.
2. Sort your niche by first-seen date weekly. Ten minutes of scanning fresh creatives beats any monthly trend report — the full cadence is described in a weekly research routine for media buyers.
3. Track a fixed competitor set. Trends you can act on come from named competitors changing behavior — new networks, new geos, new funnel shapes — not from aggregate charts. Set that up once via a competitor watchlist.
4. Confirm before you follow. A "trend" worth budget shows three things at once: multiple advertisers, multi-week longevity, and consistent funnel architecture behind the click. One viral creative is noise.

A concrete example of the confirmation step: suppose you notice a wave of posture-correction creatives in your weekly scan. Before building your own, check how many distinct advertisers are running the angle (three or more suggests a converting offer, one suggests a test), whether the oldest creatives in the group have multi-week observed runs (survivors mean the economics work), and whether the landing paths share a structure (a repeated advertorial format is a template you can learn from — see how to find and analyze competitor landing pages). Ten minutes of verification separates a genuine trend from a coordinated affiliate push that will be gone in a fortnight.

The meta-trend behind all of this: native advertising is becoming inspectable. For most of its history the channel was a black box — no official ad libraries, no transparency mandates. Now that live placements are being captured and indexed at scale, the buyers who treat trend-watching as a data workflow, rather than a reading habit, compound an information edge every week.