AdSpy vs Foreplay: Searching an Archive or Building a Swipe File

How does each vendor describe the size of its library, and is either dated?

AdSpy states its database at 208,180,000+ ads and 29,896,000+ advertisers across 225 countries, and neither figure carries an as-of date anywhere on the AdSpy homepage. The same page repeats a matching figure elsewhere — 208.2 million+ ads across 88 languages — so the two AdSpy numbers at least agree with each other, even without a timestamp.

Foreplay's numbers disagree with themselves. Its pricing page advertises a '200,000,000+ Community Ad Library,' while the Discovery page you'd actually search claims 'over 100M ads' — roughly half the pricing-page count, with no date on either. Read both totals as directional marketing copy, not verified inventory, until Foreplay reconciles them on its own site.

Where does each library's data come from — crawling or contribution?

AdSpy doesn't publish how it builds its database. The site states coverage, not method, calling itself 'the largest searchable database of Facebook and Instagram ads in the world' and leaving the collection process unexplained, so treat it as a proprietary, presumably crawled archive until AdSpy says otherwise.

Foreplay answers the question in its own name. A 'Community Ad Library' is contribution-fed by definition, and Discovery layers a Chrome extension that lets a user save ads spotted elsewhere — including YouTube Shorts and the Google Ads Transparency Center — straight into the shared pool. A crawled database stays methodologically consistent even when its count goes stale. A community library's freshness depends on how many people are actively saving that week, a variable neither vendor discloses.

Which one can filter by affiliate network, affiliate ID and offer ID?

AdSpy can, explicitly. Its filter list names affiliate network, affiliate ID and Offer ID alongside landing-page technology, campaign duration and demographic targeting — a filter set built by people who call themselves affiliates on their own homepage.

Foreplay's published filters run in a different direction: platform, brand, format and organized brand-tracking through its Spyder tool. Nothing in Foreplay's stated feature set names an affiliate-network, affiliate-ID or offer-ID filter anywhere on the site. If you're comparing the category more broadly before deciding, the swipe file software roundup breaks down which tools filter by what. For a media buyer hunting a specific offer rather than a specific creative style, that gap is the whole decision.

Which one keeps a screenshot of the landing page the ad pointed at?

Foreplay does, by name. Discovery ships a 'Landing Page & Metadata' feature described as showing 'what landing pages the ads were driving at that time,' captured on both desktop and mobile as an automatic screenshot.

AdSpy makes a narrower claim. It says it 'bypasses cloakers to ensure you have flawless information straight from the landing pages,' which is a promise about accuracy at the moment you view an ad, not about storage — nothing on AdSpy's public site claims the page is archived or downloadable afterward. Buyers rebuilding funnels from older creative usually want the archived version; pair whatever you save with a VSL swipe file organized by niche rather than assume AdSpy kept a copy for you.

What does each cost for one user, and what does a second user cost?

AdSpy charges one flat rate: $149/month for 'virtually unlimited usage,' with no published seat, search or export limits of any kind. AdSpy's own site calls this an 'introductory offer' that 'will not be the same for long,' so treat $149 as a rate that could move, not a locked-in price.

Foreplay prices per seat and gates features by tier, per its pricing page. Basic runs $59/month ($49/month billed annually) for one user, and every self-serve tier — Basic, Workflow, Agency — charges $20/month for each additional user on top of the base price.

Which one is built for affiliates and which for brands and agencies?

AdSpy is built for affiliates first. Its own homepage states 'As affiliates ourselves, we've built the tool that we want to use,' and it names dropshippers as a secondary audience without mentioning brands or agencies at all.

Foreplay is built for the opposite buyer. It calls itself 'The Complete Winning Ad Workflow' and positions the product around e-commerce brands, agencies, apps and B2B SaaS teams running creative production, not affiliates hunting offers. If your work looks more like in-house brand creative ops than offer-hunting, the Denote review covers a comparable workflow-first swipe-file tool worth weighing against Foreplay.

Can you trial either one, and what happens at the end of the trial?

Neither offers a real free trial, but the terms differ sharply. AdSpy advertises no trial and no free tier anywhere on its site — 'Subscribe' is the only entry path — and its Info page sets a refund window of 24 hours from purchase, with anything after that 'at the discretion of AdSpy.'

Foreplay runs a 7-day free trial that requires a credit card and auto-bills into a paid plan the moment it ends. After that first charge, Foreplay backs it with a 14-day money-back guarantee, though annual plans carry no prorated refund if you cancel mid-term.

Does a media buyer running direct-response offers need both?

Most comparisons in this niche settle on ad count, and that instinct is backwards for this pairing. AdSpy's smaller, narrower database wins the job a direct-response affiliate actually has — find the network, the affiliate ID, the offer — because it filters on those exact fields, and no raw count Foreplay publishes changes that.

Foreplay earns its place once your work stops being pure offer-hunting and starts including creative production: briefs, boards, a Spyder-tracked competitor set, landing-page screenshots to brief a video editor from. A solo affiliate running a handful of offers rarely needs that pipeline, and a free swipe file template for Notion or Google Sheets covers the organizing job at zero cost before either subscription is worth paying for.

Run both only once you're doing both jobs — sourcing offers and producing brand-grade creative around them — because paying $149/month plus a Foreplay seat for a single-offer campaign is money spent on a workflow you don't have yet.

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 Ad spy comparison hub, Meta Ad Library English Page: The Practical Version, Are Ad Spy Tools Paid? Free vs Paid Guide & Best Affiliate Monitoring?, Facebook Ad Library Alternative: The Honest Replacements, Creative Research Methods: What the Evidence Shows, 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.