Fidelity scores and lawful basis, answered in full.
- questions in this group, each answered in full
- 6
- pages the answers are written on, every one linked
- 1
- questions across the whole set
- 148
The short answers
Written for this index rather than for a single page, because these are the questions asked before a reader has chosen a page at all.
What is a fidelity score?
A number out of 100 answering one question: how much of your audience definition survived the translation into this channel's native targeting? It is not a quality score and not a forecast. CTV reaches 85 with a person-level grade when consent-chained B2B segments match strongly. Cinema scores 40 with a venue grade, because a cinema buy is a projection from catchment demographics. Both numbers appear on the plan, in the same size type, before you fund anything.
Why publish a score of 40?
Because a site that only publishes the 85 has told you nothing about the method. Every buyer in this market has been told that a billboard can target IT decision makers, and they already suspect it is not true. Naming the number is the only version of that conversation that leaves you better informed, and it is the reason to believe the 85.
The seven channels
Written on The seven channels, and rendered here in the same words rather than summarised.
Read the page these answers live on →
Do I have to buy all seven channels?
No, and at most budgets you should not. A broad seven-channel plan at £2,000 a month is operationally and statistically weak, and spreading a small budget across every channel is the fastest way to make none of them measurable. Two or three channels with enough weight to prove something is the shape that works. The plan generator funds the lines the budget can actually carry rather than putting a token line on every channel.
What is a lawful-basis manifest?
A record, attached to every compiled channel plan, of which data made that targeting lawful: the provider of each segment, the basis it relies on — consent-chained, legitimate interest, or outside scope entirely — and the warnings raised while compiling it. It exists so that the answer to "where did this audience come from?" is a document rather than a conversation, and so that a DPO reviewing a campaign is reading the same record the compiler acted on.
Who decides which segments get used — the AI or a lookup table?
The table. The language model extracts semantics from your brief: what kind of person, what interests, what geography, what intent. Deterministic registry code then matches those semantics against catalogue keywords and emits known segment identifiers. The model never freehands a vendor id, which is why a compiled plan can be audited line by line and why a hallucinated segment cannot reach a buy.
Are these the complete segment catalogues?
No. The examples shown on each channel page are drawn from the sandbox-scale slices we ship with, which are real taxonomies at reduced size — the AdSmart attribute catalogue, the Vistar and Bombora taxonomies, an IAB Audience Taxonomy 1.1 slice, DCM packs, Acorn and Mosaic tables. The full exports load into the same shapes, so catalogue size changes neither the compiler behaviour nor the fidelity grade. No catalogue here has yet been loaded for a live campaign, because none has run.
All seven channels, ranked by score→
If the answer above raises a question about your own budget, that is the sort of thing a forty-five minute working session is for.
Talk it through148 questions, grouped by subject
Every question answered anywhere on this site sits in one of 21 groups, and appears in exactly one of them. This is one.
Bring the question this group did not answer.
45 minutes. Bring a real brief and we compile it live. You describe one audience, it compiles into seven channel plans in front of you, and the awkward questions get answered against your own numbers rather than in general.
Design-partner phase· recruiting paid design partners rather than selling self-serve media · what is live, and what is not
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