Daily Intel Knowledge Base
Research pages, comparison hubs and operating guides.
A structured library for Daily Intel methodology, pricing, trust, VSL research, ad repositories, blackhat and whitehat context, niche intelligence and buyer decisions.
Indexed structure
- Core entries
- 2328+
- Collections
- 107
- Niche pages
- 626
- Glossary terms
- 57
Research
25 Verticals, One Filter: Browsing Offers by Category Instead of Network
Network-by-network browsing forces you to learn eleven taxonomies. A single vertical field across all of them turns 'what nutra is available' into one
Research
25,085 Offers With a Landing URL on File — and What to Do With One
A stored destination URL is the bridge between an offer record and everything a spy tool can tell you. Here is how to walk it in both directions.
Research
79 Geo Codes, Filterable: Finding Offers That Accept Your Traffic
Geo is the first filter a media buyer applies and the last thing most offer sources make searchable. Here it is a field on 25,293 of 28,042 records.
Research
A Listed Offer Is Not a Live Offer: How to Verify Before You Spend
Every offer catalogue, including this one, is a snapshot with uneven freshness. The verification steps are the same regardless of the source, and they
Showing 22 pages
25 Verticals, One Filter: Browsing Offers by Category Instead of Network
Network-by-network browsing forces you to learn eleven taxonomies. A single vertical field across all of them turns 'what nutra is available' into one
25,085 Offers With a Landing URL on File — and What to Do With One
A stored destination URL is the bridge between an offer record and everything a spy tool can tell you. Here is how to walk it in both directions.
79 Geo Codes, Filterable: Finding Offers That Accept Your Traffic
Geo is the first filter a media buyer applies and the last thing most offer sources make searchable. Here it is a field on 25,293 of 28,042 records.
A Listed Offer Is Not a Live Offer: How to Verify Before You Spend
Every offer catalogue, including this one, is a snapshot with uneven freshness. The verification steps are the same regardless of the source, and they
Ad Library or Offer Catalogue: Two Different Questions
'What creative is working' and 'what can I promote' are not the same research task, and buying the wrong index for the question is the most common way
An Offer Database, Not an Ad Database: 28,042 Records You Can Filter
Every ad spy tool indexes creatives. This indexes the thing the creative points at — the offer itself, with network, vertical, geo and payout as fields
ClickBank Is 1,393 of 28,042 Offers Here — What the Other Ten Networks Carry
Most offer research in English starts and ends on one marketplace. The catalogue's own distribution shows how narrow that view is, and which networks
Eleven Networks, One Search Box
Comparing an offer on ClickBank against one on Hotmart against one on Braip normally means three logins and three vocabularies.
Entering a New Vertical: Read the Offers Before You Read the Ads
Creatives tell you how a vertical is being sold. The offer list tells you whether the economics work for you at all — and it is the cheaper question
Finding LATAM Offers When Every Tool You Own Is Blind to Them
Your spy tool sees LATAM ads. It cannot see the offers behind them, because the platforms those offers live on are not in any vendor's coverage list.
From 28,000 Offers to Five: A Filtering Order That Works
Geo, then vertical, then payout, then landing page, then freshness. Applying the filters in the wrong order is how buyers end up testing an offer
Hotmart, Braip, Kiwify and Monetizze in One Place — Nobody Else Indexes Them
Four Brazilian producer networks that carry 21,650 offers between them here, and that not one of the eleven researched ad intelligence vendors names
Offer Counts by Network, Counted Rather Than Claimed
Eleven networks, catalogued from the same schema, with the count for each published — including the two integrations that currently return nothing at all.
Picking Offers When You Can Only Afford to Test Three
With a fixed test budget, the cost of choosing badly is the whole budget. Filtering on the fields that actually predict a survivable test, in the order
Same Vertical, Four Networks: Where the Payout Actually Differs
A vertical filter that spans eleven networks makes the commission spread visible in one screen.
Show Me Only the Offers With a Number Attached
More than half the catalogue carries a numeric commission field. Filtering to those first is the fastest way to stop reading marketing copy and start
Sorting Offers by Payout When the Payout Is Actually a Number
Most offer research means reading commission figures out of network dashboards one at a time.
What Changes When Offer Terms Become Fields Instead of Prose
A payout in a paragraph is a claim. A payout in a column is a filter. The difference between the two is most of the friction in offer research.
Which Comes First: The Offer or the Creative?
Buyers who start with creatives find great ads for offers they cannot run. Buyers who start with offers sometimes commit to economics before checking
Which Countries Actually Have Offer Inventory
79 geo codes appear across the catalogue, and they are not evenly loaded. Where the depth is, where it thins out, and what to do about a geo with four
Why 28,000 Filterable Offers Beats a Million Unfilterable Ones
Volume is the category's favourite metric and the least useful one for offer research.
Why No Ad Spy Tool Can Tell You What an Offer Pays
Every tool in the category crawls creatives. A payout figure never appears in a creative, which is why eleven vendors' filter lists all stop in the same
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