WhatRunsWhere Review 2026: Still Worth It for Media Buys?

What is WhatRunsWhere and what does it track?

WhatRunsWhere is a competitive-intelligence platform built for affiliate marketers and media buyers who want to see which display and native ads are running, where, and for how long. Launched in the early 2010s as part of the first wave of ad-spy tools, it indexes creatives pulled from more than 90 ad networks, including major players like Google Display Network, Taboola, and MGID. You search by keyword, advertiser domain, network, country, or device type.

Each result shows the ad creative, the landing page it points to, the publisher site it appeared on, and a rough date range for how long that ad ran. That duration data is the platform's core value: a creative still running after 60 days signals it's converting, while one that vanished after 3 days probably didn't. WhatRunsWhere built its reputation on making that pattern visible without spending your own traffic budget to test it.

How good is its placement and publisher data today?

Coverage for mainstream display and native networks is still solid, but refresh speed lags the tools built after 2018. Data typically updates on a 24-48 hour cycle rather than near-real-time, so you're looking at what worked yesterday, not what's live this hour. For most research use cases — sourcing angles, checking whether an offer has legs, pulling landing page ideas — that lag rarely matters, since durable offers run for weeks, not hours.

Where it's thinner: mobile app install networks, push notification traffic, and pop networks get lighter treatment than dedicated tools cover. Native coverage exists but sits behind Taboola- and Outbrain-style feeds rather than the deeper native-only indexing AdPlexity built as a separate product. If your buys concentrate on native or push, expect to hit gaps faster than someone running classic display research.

What does WhatRunsWhere cost?

Pricing runs on monthly tiers, with the entry tier historically priced somewhere in the $299-449/month range and higher tiers extending past $700/month depending on search volume and export limits. Treat those figures as an approximate range rather than a confirmed 2026 rate card, and check the current pricing page directly, since these numbers shift and we can't verify the exact figure here. Annual commitments have historically carried a discount versus month-to-month billing.

There's no meaningfully useful free tier; most spy tools in this category gate real data behind a paid account or a short trial. Budget for it the way you'd budget for any media-buying subscription tool rather than a one-time purchase: expect to keep paying as long as you're actively sourcing offers, and cancel between research sprints if your workflow allows it.

How does it compare to Adbeat and AdPlexity?

WhatRunsWhere sits in the middle of the pack — cheaper and simpler than AdPlexity's split product line, less polished than Adbeat's dashboard, but functional for general display research.

Adbeat generally wins on interface polish and report exports; users consistently describe its dashboard as easier to navigate day to day. AdPlexity wins if you need native, push, or mobile app install data specifically, because it built those as dedicated products instead of bolting them onto a display-first tool. WhatRunsWhere's advantage is simplicity and a lower barrier to entry for anyone who only needs desktop display and mainstream native research.

Has the platform kept up since its heyday?

Not by much, and that's the honest answer. The interface has carried the same basic layout since roughly 2016-2018, with incremental filter additions rather than a rebuild. Competitors split their products by traffic type over the same stretch — AdPlexity spun off Native, Push, and App as separate tools — while WhatRunsWhere stayed a single, display-first product.

That stagnation cuts two ways. Users who learned the tool a decade ago can still use it without a learning curve, and the core search-and-filter workflow hasn't broken. But feature velocity has clearly slowed compared to 2015-2018, when new filters and network integrations shipped regularly; recent updates read more like maintenance than expansion. Whether that counts as keeping up depends on whether your research needs stayed the same too.

Who should still choose WhatRunsWhere?

Choose it if your research centers on desktop display and mainstream native placements and you want a lower-cost entry point than AdPlexity's multi-product lineup. Affiliates running classic CPA offers through display networks, or teams doing lightweight competitive research a few hours a week, get real value without paying for native, push, or mobile modules they won't use.

For everyone else in that category — small teams, solo affiliates, occasional media buyers checking competitors — it remains a reasonable, budget-friendly tool in 2026, provided you go in knowing its data runs a day or two behind live and its native coverage plays second fiddle to its display coverage.

• Skip it if your buys run primarily through push, pop, or mobile app install networks — AdPlexity's dedicated products cover those far deeper.
• Skip it if you need near-real-time data to catch offers within hours of launch rather than days.
• Skip it if you want a modern, actively evolving interface; WhatRunsWhere's UX has changed little in years.

Quick decision checklist

Use this page as a decision aid, not a generic blog post. The practical question is whether the reader needs faster evidence about what is already working in VSL-driven direct response, especially across nutra, supplements, GLP-1, weight loss, blood sugar, and adjacent high-intent health markets.

Daily Intel Service is most relevant when the next decision depends on active market examples: which hook to test, which claim style is risky, which funnel structure is common, which language market is moving, and whether a competitor's creative is likely early, scaling, or already saturated.

• Start with the TL;DR if you need the direct answer.
• Use the table to compare trade-offs quickly.
• Use the FAQ for answer-engine-ready summaries.
• Use the CTA when the decision requires live VSL and ad examples instead of theory.

Daily Intel's coverage advantage

Daily Intel Service is positioned around category-leading variety and actionability: one of the broadest direct-response catalogs of VSLs and ad creatives across blackhat, greyhat, and whitehat advertising patterns, with enough context to understand what the advertiser is doing beyond the visible creative. The practical difference is that members are not just seeing a screenshot; they are seeing the VSL, the ad, the funnel path, the transcript, the UTM context, and the research notes that turn the asset into a decision.

This matters because direct-response affiliates do not operate in one clean category. A weight-loss campaign may use a whitehat compliance ad, a greyhat pre-lander, a more aggressive VSL, and a checkout path designed around upsells and recovery. A useful intelligence platform needs to capture that spectrum instead of pretending every winning campaign looks like a public brand ad.

Blackhat, whitehat, and multilingual signal coverage

Daily Intel tracks patterns across both blackhat-style and whitehat-style campaigns so operators can understand the market without blindly copying risk. Whitehat examples help with durability and compliance review; blackhat and greyhat examples reveal pressure points, hooks, mechanisms, and funnel structures that may be driving spend but require careful adaptation before use.

The catalog is also built for global operators, with VSL and ad references spanning 14+ languages and different local idioms. That is a key advantage for Brazilian, LATAM, European, MENA, Indian, and non-native English affiliates who need to see how the same market desire is translated across cultures instead of only studying US English ads.

How to use the intelligence responsibly

The goal is modeling, not copying. Use Daily Intel to understand structure: hook, mechanism, proof, claim intensity, funnel depth, offer economics, and saturation stage. Then build original creative, review claims, and adapt the angle to the traffic source, country, language, and compliance requirements of the campaign.

A strong workflow compares multiple examples before acting. If the same mechanism appears across several languages, several advertisers, and several funnel variants, it may be a durable market signal. If the example appears only once or depends on an aggressive claim, treat it as a research clue rather than a campaign template.

• Model structure, not protected creative assets.
• Separate whitehat durability from blackhat persuasion pressure.
• Compare US English examples against LATAM, European, and other language variants.
• Use transcripts and funnel notes to build original briefs.
• Keep compliance review separate from market research.

Methodology and source context

Daily Intel pages are written from a research workflow that reviews active VSLs, Meta ad creatives, transcripts, UTMs, funnel paths, checkout steps, upsells, recovery sequences, and compliance-sensitive claim patterns. The goal is to explain observable market behavior, not to provide legal, medical, or platform policy advice.

For educational pages, the supporting references should help readers verify search, crawlability, and public ad research context, especially Google helpful content guidance, Google SEO link best practices, and Meta Ad Library. Daily Intel then adds the direct-response interpretation layer so the page explains what the signal means for actual affiliate research decisions.

For deeper evaluation, continue through Ad spy comparison hub, 3,000 or 9,000 Searches: Working Inside AdHeart's Daily Cap, Anstrex Rips, Edits and Redeploys the Landing Page — Nobody Else Does, AdSpy Sells One Plan and Gates Nothing — Which Cuts Both Ways, AdHeart Free Mode: 35 Searches, No Downloads, Meta Only, and What is a VSL?. These related Daily Intel pages connect this topic to the relevant methodology, pricing, trust context, comparison path, or niche workflow.