How many distinct geo codes appear across the catalogue?
Seventy-nine distinct geo codes appear across the catalogue, counted directly against the listing_offers table as of the 2026-08-05 check. That figure sits next to 25 distinct verticals, so a buyer filtering by country is working a separate axis from vertical, not a subset of it.
Seventy-nine is a country or region-code count, not a promise that each one carries a working funnel. A geo appearing at all in the catalogue means at least one offer somewhere lists that code as a target — it says nothing about whether that offer has five live competitors or none at all.
How many offers carry a geo target at all?
25,293 of the catalogue's 28,042 offers carry at least one geo target, per the same direct count against listing_offers. That leaves 2,749 offers with no geo field populated — roughly one in ten records — a gap worth knowing about before you assume every offer tells you where it runs.
The geo field sits alongside 25,085 offers that carry a landing URL, a separate structured field confirmed by the same count. The two totals are close but not identical, which means geo targeting and landing-page presence are recorded independently rather than one implying the other, so check both fields before building a campaign around a specific record.
Which geos carry real depth and which carry a handful?
Real depth clusters where the network mix clusters, and the catalogue's biggest networks are Brazil-centric: Braip, Hotmart, Kiwify and Monetizze together account for 21,650 of the 28,042 offers. That concentration means Portuguese-language LATAM geos are very likely the deepest codes in the catalogue, even without a published country-by-country count to point to directly.
On the other end, a geo reached only through a small network is thin by construction. MyLead contributes just 50 offers and dr.cash just 32 to the entire catalogue, so any geo where those are the only carriers will show a handful of records at most — treat that as a research lead, not a market.
A precise geo-by-geo offer count needs checking before it goes on this page — the underlying data counts networks and totals, not a country-level breakdown, so anything more specific than 'Brazil-network geos are deep, small-network geos are thin' would be a guess. If offer depth within a single vertical matters more to you than geo breadth, our ranking of nutra affiliate networks by offer depth is a sharper filter to start from.
What does an offer with no geo restriction mean in practice?
It means the record has no geo field populated, not that the network has confirmed the offer runs everywhere. Of the 28,042 active offers, 2,749 carry no geo target, and reading that blank field as 'worldwide' is one of the most common misreads operators make with a catalogue like this one.
The industry habit is to treat an unrestricted offer as a green light for any geo you can drive traffic from, but a missing geo field is at least as often a data gap as a deliberate global approval — advertisers restrict acceptance at the network or offer-owner level for reasons a catalogue snapshot cannot see, and 18,742 of the same offers also carry no long description, which tells you data completeness varies field by field rather than record by record. Confirm acceptance before you spend, especially outside the geos a network is known for.
How does geo depth track with the networks represented?
Geo depth tracks network origin closely, because each network in the catalogue specializes in a region before it specializes in a vertical. Braip, Hotmart, Kiwify and Monetizze — the catalogue's biggest producer networks — together account for 21,650 of the 28,042 offers, and all four are LATAM-first platforms built around Brazilian producers, so Portuguese-language geos inherit that weight structurally rather than by curation.
- Admitad, ClickBank, CPALead, BuyGoods, MyLead and dr.cash skew toward US, EU and broader international geos rather than one region — for background on what separates those buckets, see our breakdown of [tier 1, tier 2 and tier 3 countries](/learn/tier-1-2-3-countries-in-affiliate-marketing-explained).
- Two configured networks, Digistore24 and TerraLeads, currently carry zero offers in the catalogue — a geo reached only through those platforms shows no inventory here, not because demand is absent but because those networks have no live records yet.
| Network | Offers |
|---|---|
| Braip | 7,574 |
| Hotmart Affiliation | 6,600 |
| Kiwify | 4,890 |
| Hotmart | 2,586 |
| Admitad | 2,120 |
| Monetizze | 1,599 |
| ClickBank | 1,393 |
| CPALead | 755 |
| BuyGoods | 443 |
| MyLead | 50 |
| dr.cash | 32 |
How do you find offers for a geo with thin inventory?
Start by filtering on vertical and payout before geo, because a thin geo often still has two or three offers worth running once you stop searching by country first. 15,582 of the catalogue's 28,042 offers carry a numeric CPA or commission amount, which makes payout a filterable field you can sort by even when geo coverage is sparse.
A vague grasp of what counts as a distinct offer makes a thin-geo search harder than it needs to be. Our definition of an offer in affiliate marketing is worth a read before you assume a record with no geo tag is unusable rather than just under-labeled.
If the catalogue search comes up short, go around it: pull the merchant's affiliate or JV page directly and ask whether the geo you need is accepted off-catalogue, which is faster than waiting for a re-scrape. Our guide to finding any offer's affiliate page fast walks through that process step by step.
Does ad-side geo coverage from a spy tool help here?
Not directly, because a spy tool's geo coverage describes where an ad was observed running, not whether an offer accepts traffic from that geo with a working payout structure. AdSpy's homepage counters claim ads across 225 countries, Anstrex reports data from 64 countries for native, 92 for pop and 55 for InStream, and BigSpy cites 71 countries — all of those are ad-observation counts, not offer-catalogue counts.
None of the eleven ad-spy and creative tools we cross-checked — AdSpy, AdPlexity, Anstrex, BigSpy, PowerAdSpy, Minea, Dropispy, Foreplay, AdHeart, PiPiADS and Atria — publishes a catalogue of affiliate offers with payout, vertical and geo as structured, filterable fields. AdSpy and AdPlexity come closest, letting a user filter ads by affiliate network or Offer ID, but that is still a filter over ad creatives, not a record of an offer's accepted geos.
A spy tool can tell you an ad ran in a geo last month; it cannot tell you whether the underlying offer will approve your traffic from that geo today. Treat the two data types as complementary — creative evidence plus a structured offer record — rather than substitutes for each other.
What should you confirm with the network about geo acceptance?
Confirm current acceptance directly with the network or affiliate manager before you commit budget, because a catalogue geo tag records what an offer listed at scrape time, not what it accepts today. Freshness is uneven across this catalogue: only 274 of 28,042 offers were re-confirmed by a scrape in the last 30 days, so 'updated daily' is not a claim this catalogue can make, and a geo tag on an older record deserves a direct check.
Ask about three things specifically: whether the geo is still open to new affiliates, whether payout differs by geo within the same offer, and whether the network requires pre-approval for that country. Payout confirmation matters doubly here — 15,582 offers carry a numeric CPA amount, but a figure on a stale record can still be renegotiated or withdrawn by the time you apply.
Disclosure obligations travel with you regardless of geo, so fold that question into the same conversation rather than treating it as a separate step later. See our summary of FTC disclosure rules for affiliate links for what applies once you're approved and running traffic.
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.
| Research need | Generic ad archive | Daily Intel Service |
|---|---|---|
| Creative volume | Large raw databases with mixed relevance | Curated VSL and ad examples selected for direct-response usefulness |
| Blackhat and whitehat awareness | Often flattened into screenshots or URLs | Explicit attention to compliance spectrum, cloaking risk, and claim style |
| Post-click context | Usually limited or inconsistent | VSL, transcript, funnel path, checkout, upsell, UTM, and recovery notes where available |
| Language coverage | Search filters may exist, but context is thin | 14+ language and international idiom coverage for global affiliate research |
| Best use case | Broad browsing and historical lookup | Nutra, supplement, GLP-1, VSL, and direct-response campaign decisions |
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 Picking Offers When You Can Only Afford to Test Three, Which Comes First: The Offer or the Creative?, What Changes When Offer Terms Become Fields Instead of Prose, Same Vertical, Four Networks: Where the Payout Actually Differs, 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.
Founding rate — locked forever
Access curated VSL intelligence for $29.90/mo
- 50–100 manually validated VSLs every day at 11PM EST
- major niches niches, 14+ languages, blackhat-to-whitehat pattern coverage
- live catalog VSL/ad catalog, transcripts, UTMs, full funnel maps
- Cancel anytime — founding rate stays yours forever
Daily Intel Service delivers manually curated research around active-scaling VSLs, Meta creatives, UTMs, funnels, and nutra market movement.
Frequently asked questions
How many countries does the offer catalogue cover?
Seventy-nine distinct geo codes appear across the catalogue's 28,042 active offers, counted directly against the listing_offers table. Coverage is uneven: the four Brazil-centric producer networks, Braip, Hotmart, Kiwify and Monetizze, account for 21,650 of those offers, so Portuguese-language LATAM geos carry far more depth than most other codes on the list.What happens if an offer has no geo listed?
A blank geo field means the record has no geo target populated, not that the offer is confirmed for every country. 2,749 of the catalogue's 28,042 offers carry no geo target, and treating that gap as a global green light is a common and risky misread — confirm acceptance with the network before assuming worldwide approval.Which affiliate networks carry the most geo-tagged offers?
Braip leads with 7,574 offers, followed by Hotmart Affiliation at 6,600, Kiwify at 4,890 and Hotmart at 2,586, all LATAM-first producer platforms. Admitad, Monetizze, ClickBank, CPALead, BuyGoods, MyLead and dr.cash carry the remaining volume and skew toward US, EU and broader international geos.Can an ad spy tool tell me if a geo has offer inventory?
Not reliably — spy tools report where an ad was observed running, which is a creative-level signal, not an offer-level one. AdSpy claims ads across 225 countries and BigSpy cites 71, but neither publishes a catalogue of offers with payout and geo as structured fields, so ad-geo counts answer a different question than offer-geo depth.How current is the geo data in the catalogue?
It varies by record, and older ones need a direct check before you rely on them. Only 274 of the catalogue's 28,042 offers were re-confirmed by a scrape in the last 30 days, so 'updated daily' does not describe this data, and any high-stakes geo decision deserves confirmation with the network first.Should I trust a geo tag on an offer with no description?
Treat it as a lead, not a confirmed fact, since description depth and geo-tag presence are recorded independently. 18,742 of 28,042 offers carry no long description at all, and a thin record can still carry an accurate geo tag or a stale one — verify with the network rather than inferring reliability from the surrounding text.
Continue the research path