Show Me Only the Offers With a Number Attached

how many offers carry a numeric commission field?

15,582 of the catalogue's 28,042 active offers carry a numeric CPA or commission amount, confirmed against listing_offers.cpa_amount_numeric on 2026-08-05. That's 55.6% of the catalogue — a majority, not a mandate. Filter to this field and you get a list you can rank by dollar figure instead of by adjective, which is the entire point of running a catalogue instead of reading landing pages one at a time.

The 28,042 offers sit across 11 active networks, and payout discipline varies sharply by which one wrote the listing. The table below shows where volume actually concentrates before you narrow to the numeric subset.

why do the rest not carry one?

Roughly 12,460 offers show no numeric payout field, and the reason is structural, not a data gap someone forgot to fill. Many producer-network listings quote a percentage of sale rather than a flat amount, and that percentage only resolves to a dollar figure once you know the product's price point and refund rate — information that doesn't live in a single field.

A second slice of offers gates the real number behind approval. The listing shows 'contact for rates' or nothing until an affiliate manager reviews the application, so there's nothing to record at listing time. This isn't unique to payout data: of the same 28,042 offers, only 8,668 carry a long description past 300 characters and 18,742 carry none at all. Editorial depth and payout depth are both uneven, and a catalogue this size will always have a long tail nobody has filled in yet.

what does a cpa figure mean on a producer network versus a cpa network?

A CPA figure on a CPA network usually means a fixed dollar amount per qualifying action, while the same field on a producer network usually means a percentage of one sale — two different units sitting in the same column. Braip (7,574 offers), Hotmart Affiliation (6,600), Kiwify (4,890) and Hotmart (2,586) are producer and creator platforms built around Brazilian and LATAM digital products, and their commission structure is overwhelmingly revenue-share rather than flat-fee.

Admitad (2,120), Monetizze (1,599), ClickBank (1,393), CPALead (755), BuyGoods (443), MyLead (50) and dr.cash (32) run closer to the classic CPA-network model, where a flat per-lead or per-sale amount is more likely to be the actual figure an affiliate gets paid, rather than a percentage that still needs a sale price attached. Read the difference between CPA marketing and affiliate marketing before you treat a revshare percentage and a flat CPA as interchangeable numbers in the same spreadsheet column.

how do you turn a listed payout into a break-even cpc estimate?

Divide the listed payout by your assumed conversion rate to get the maximum CPC you can pay and still break even. A $40 offer at a 2% landing-page conversion rate breaks even at $0.80 per click, before you subtract any margin for testing losses. That's the whole formula; the work is in getting the conversion-rate assumption right, and that number won't come from the catalogue.

Run the arithmetic before you touch a media buy, not after the first invoice. The break-even ROAS calculator takes the payout figure straight from a listing and layers in ad spend, EPC and payout timing so you're comparing a real ceiling against your actual bid, not a number you did in your head between meetings.

what do you still need from the network to complete the math?

You still need the network's actual approval terms, because a listed payout is a starting reference, not a signed contract. Confirm the cookie duration, the chargeback or refund clawback window, and whether the payout is geo-locked before you commit spend against the number on the page.

Geo matters more than most buyers price in. The catalogue carries 79 distinct geo codes and 25,293 offers with at least one geo target, and a payout quoted for one country routinely does not apply once traffic shifts. Read where English-language offers actually run before you assume a US figure travels to the UK or Australia unchanged.

does a stated payout ever change after approval?

Yes — tiered and volume-based payout structures are common enough that treating a listed number as fixed is the more frequent mistake, not the safer assumption. Most operators read a stated CPA as a guarantee because it's printed as a single figure; in practice a lot of networks reserve the right to move that number up for high-volume affiliates and down for low-quality traffic, and the printed figure is often the starting tier rather than the ceiling or the floor.

This cuts against the instinct to trust a number simply because it's numeric. A catalogue field that reads '$45' is more useful than no field at all, but it isn't a promise from the network. Confirm the current rate inside the affiliate dashboard after approval, every time, before you scale spend against it.

which verticals most often publish a number?

The catalogue doesn't currently break out numeric-CPA counts by vertical, so a specific percentage here would need to be pulled fresh and checked before publication — treat this as a directional read, not a count. Structurally, flat-fee verticals such as leads, subscriptions and straightforward e-commerce tend to publish a number more consistently than verticals sold on revenue share, because a flat fee is a single figure a network can print without knowing the buyer's downstream margin.

Health offers, including the semaglutide affiliate offers tracked separately on this site, tend to run flat CPA structures often enough that a payout figure is the norm rather than the exception. The catalogue spans 25 distinct verticals in total, and the peptide affiliate offers running in 2026 sit in the same structural camp — worth checking directly rather than assuming the pattern holds for every listing.

when should you promote an offer with no listed payout at all?

Promote a no-payout offer when the vertical and geo fit is strong enough that you're willing to get the real number before you spend, not after. A missing field isn't a red flag on its own; it just means the arithmetic has to happen in a conversation with an affiliate manager instead of on the page.

Treat the absence of a number as a request for a phone call, not as a disqualifier. If the offer sits in a vertical you already know converts, or a geo where you've run traffic before, apply, get the real figure in writing, and add it back to your own records. The catalogue can tell you what exists; it can't always tell you what a specific network will pay a specific affiliate this month.

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 25,085 Offers With a Landing URL on File — and What to Do With One, Why 28,000 Filterable Offers Beats a Million Unfilterable Ones, 79 Geo Codes, Filterable: Finding Offers That Accept Your Traffic, Eleven Networks, One Search Box, 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.