4,296 Ads and 3,979 VSLs: The Creative Side, Measured

How many ads, VSLs, library items and media assets are held?

The creative side holds 4,296 ads, 3,979 VSLs, 745 library items and 6,080 media assets, all counted directly against the ads_migration, vsl_migration, library_items and media_migration tables on 2026-08-05. Nothing here is estimated or rounded up for effect.

Library items sit apart from the other three counts. At 745 records, that set holds curated funnel assets rather than raw creative pulls, which is why it runs an order of magnitude smaller than the ad and VSL counts sitting next to it.

• Ads: 4,296
• VSLs: 3,979
• Library items: 745
• Media assets: 6,080

How does that compare with the largest published archives?

By raw ad count, this library is smaller than the market leaders by two to three orders of magnitude, and that gap is worth stating plainly before anything else follows. AdSpy's own homepage counters put its Facebook and Instagram database at 208.2 million-plus ads and 29.9 million-plus advertisers across 225 countries, with no date attached to either figure.

BigSpy claims more still. Its FAQ describes coverage of over 1 billion pieces of ad creative data across ten ad platforms, again with no as-of date shown. Foreplay's pricing page lists a 200,000,000-plus community ad library, and Dropispy claims 50 million-plus e-commerce ads with 20,000 new ads added daily. None of those figures carry a timestamp, and this catalogue does not need to compete on that axis to be useful.

Why is the VSL count nearly as large as the ad count?

Because this library is built from offer-to-VSL pairs, not scraped from a live ad feed. At 3,979 VSLs against 4,296 ads, the ratio sits near 0.93 to 1, a shape no ad-volume archive produces, since a single VSL typically sits behind dozens or hundreds of ad variations on Meta alone.

AdSpy, BigSpy, Anstrex and the rest scrape creative at the individual ad-unit level, so their ratios of long-form sales video to ad count run into the thousands-to-one range on a busy Meta feed. A near-1:1 ratio here means most VSLs in this catalogue have exactly the ad or two that surfaced them attached, not a pile of duplicate hooks to sort through first.

Most researchers assume more ads automatically means a better tool. That assumption holds for trend-spotting and breaks for VSL study: a library where video count approaches ad count beats one where ad count runs fifty thousand VSLs deep in noise, because the object you actually want to study is the VSL itself.

Which research jobs does a small curated library do well?

A curated library this size does VSL structure teardown well: watching a hook, an offer reveal and a close without wading through duplicate ad variants first. Because 15,582 of the 28,042 catalogued offers carry a numeric CPA or commission figure, you can filter by payout before opening a single VSL, something most ad-only archives cannot do since payout is not a field they store.

It also does offer-to-creative mapping, tying a specific VSL to a specific network, vertical and geo rather than to an advertiser page name. What a filter like what does ads use this creative and text mean actually returns clarifies why that distinction changes how you search, not just what you find.

Which research jobs require a very large archive instead?

Broad competitive-volume scanning needs millions of records, not thousands. Spotting which hook is saturating a niche across hundreds of advertisers, or catching a Facebook ad the day it goes live, is a job for an archive counted in the tens or hundreds of millions, not one counted in the thousands.

Tracking how fast a given advertiser rotates creative, or watching an ad vanish and reappear under a new page name, also needs that scale, since the pattern only shows up across a large enough sample. The mechanics behind that churn are covered separately in why ads disappear from the Meta ad library overnight, and that kind of pattern is exactly what a small library cannot chart.

Which vendor should you buy for those jobs?

For Facebook and Instagram volume alone, AdSpy is the standing option at its stated $149-a-month single-tier price, with no free trial and a 24-hour refund window under its own Info page. BigSpy adds nine more platforms on top of Facebook at the same $149-a-month Pro tier, entering through a $1 three-day trial rather than a free one.

For native, push and pop inventory, Anstrex prices by product and by seat, from $79.99 a month for Native Solo up to $219.99 a month for its Native+Push+Pops combo. For landing-page archiving alongside ad discovery, Foreplay is the closer match, and how it stacks up against a workflow-first competitor is laid out in Foreplay vs MagicBrief.

If speed-through-filtering on Meta and TikTok matters more than archive depth, AdHeart's affiliate-leaning filters are worth a look, and the trade-offs against a VSL-heavy catalogue like this one sit in Daily Intel vs AdHeart. None of these buy decisions overlap with the offer catalogue itself; they solve ad-volume problems, this solves offer-structure problems.

How does the creative library connect to the offer catalogue?

Every VSL in this library sits against an offer record, not as a standalone creative. That linkage is why 15,582 of 28,042 offers carry a numeric CPA amount and why 25,293 carry at least one geo target, since the creative and the commercial terms behind it live in the same row rather than in separate tools you reconcile by hand.

The editorial layer sits on top of both: 1,544 written pages, organised into clusters and pushed through a translation queue into 16 languages, describe what a given VSL or offer pattern is doing rather than just archiving it. Building that connective layer is closer to the work described in how to become a creative strategist for paid ads than to running a pure ad-spy tool.

What would make this library bigger, and would that help?

More ingestion pipelines pointed at more ad networks would make the raw count bigger, and that part is straightforward. It would not, by itself, fix the more important gap: of 28,042 offers, only 8,668 carry a long description of 300 characters or more, and 18,742 carry none at all, so scale without editorial depth just produces more thin records.

Freshness is the sharper honest limit. Only 274 offers were re-confirmed by a scrape in the last 30 days as of this check, so 'updated daily' is not a claim this catalogue can make right now, however large the ad and VSL counts grow. Bigger helps trend-spotting; it does nothing for staleness, and those are different problems needing different fixes.

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 external context, readers should compare advertising and research decisions against authoritative primary references such as Meta Ad Library, Google helpful content guidance, and Google SEO link best practices. Daily Intel adds the proprietary direct-response layer: blackhat, greyhat, and whitehat campaign pattern comparison across VSL-heavy niches and 14+ language markets.

For deeper evaluation, continue through Where This Sits in a Stack That Already Has an Ad Spy Tool, What This Is Not: Six Things We Don't Do, How Fresh the Catalogue Actually Is — the Uncomfortable Answer, Two Vendors Claim to Be the Biggest. We Don't, and Here's the Number., Best ad spy tools for direct response affiliates, and Best $50/month affiliate tool stack. These related Daily Intel pages connect this topic to the relevant methodology, pricing, trust context, comparison path, or niche workflow.