Attribution buyer personas as hypothesis cards with retirement rules

No marketing attribution buyer persona is established by this desk article. A usable persona must be a labelled working hypothesis that points to real evidence about a repeated task. A name, stock photograph and confident story would disguise what the research does not yet know.

What to take away

Use a hypothesis card

Give the record a neutral identifier, such as HYP-ATTR-OPS-01. The word persona can remain in the page title, but the working file should make uncertainty hard to miss.

The England rule, as used in this file, restricts the eligible population to organisations that trade or employ staff in England. A respondent whose employer operates only in Scotland, Wales or Northern Ireland sits outside the declared population. Widen the rule to the whole UK only when the study is designed for that reach.

It is a working convention, not a legal test.

The GOV.UK guide to planning user research says government teams can create personas as they learn about users and should first turn assumptions into research questions. That does not validate a commercial persona. It supports the sequence: collect evidence first, summarise later.

A filled example shows the format. All identifiers, counts and dates below are invented for illustration.

Keep people and powers distinct

An attribution platform user may configure events but lack buying authority. A finance approver may challenge a return calculation without operating the system. A procurement lead can manage supplier evidence while a privacy specialist assesses data use. Do not compress them into a single heroic decision-maker.

Record what each source actually demonstrates. A participant statement belongs in one column; an observed action or supplied artefact belongs in another; the researcher's interpretation belongs in a third. No interviews were conducted for this article, so it contains no quotations or findings.

The GOV.UK user-needs guidance tells public-service teams to base user needs on research rather than assumptions and to focus on the problem, not a preferred solution. Describe a need for a reproducible answer to a budget question only after evidence shows that task. Do not substitute a proposed supplier category, such as AI attribution software, for the need itself.

Remove stereotype fields

Age, disability, ethnicity, sex, income and other personal characteristics should not decorate a profile or stand in for behaviour. Include a characteristic only where the study lawfully collected it for a defined question, the analysis supports relevance and the disclosure is safe. Never infer identity from a name, photograph, postcode or online account.

The ICO's lawfulness, fairness and transparency guidance requires a valid basis and fair, open use of personal data. A qualified reviewer must assess the actual study, including special-category information, access and retention. Pseudonyms do not automatically remove data-protection duties.

Set promotion and retirement rules

Before fieldwork, leave the minimum evidence threshold blank. A research lead should set it for the decision and method. Promotion from hypothesis requires traceable evidence from the declared population, visible contradictions and a clear statement that frequency has not been estimated unless a suitable survey supports it.

One illustration, not a recommended figure: eight completed interviews from at least four organisations, two independent evidence IDs per task and one reviewed contradiction. Blank means undecided, not zero.

Review the card after each fieldwork round and on any material product or organisation change. Retire it when its defining task no longer appears, evidence comes from an obsolete population, or contradictory cases overwhelm the pattern. The audit trail should preserve who changed the card, why and which decisions used the earlier version.

Where UK evidence comes from

Attribution evidence usually sits in systems a UK team already runs. Start with internal customer relationship management records, licence and renewal notes, procurement and purchase-order files, consent logs and analytics configuration histories.

Support tickets, sales call notes and agency reporting packs count when they carry a date and an owner. Companies House filings help check whether a respondent's employer meets the England rule. ICO guidance and the GOV.UK service manual set standards but are not attribution evidence.

Before you act

Common questions

What should a hypothesis card contain?

The required fields are population, decision role, attribution task, evidence, coverage, contradictions, limits and status. Population covers exact organisation and respondent eligibility, including the England rule. Decision role covers user, specifier, evaluator, approver or contract signatory, supported by a recent event. Evidence covers interview, survey item, artefact or administrative record IDs with dates and versions.

Why should decision roles be kept separate?

The platform user, the finance approver and the procurement or privacy lead hold different powers. Record each participant statement, observed action and supplied artefact separately rather than merging them into one decision-maker.

When should a persona card be retired?

Retire it when its defining task no longer appears, when evidence comes from an obsolete population, or when contradictory cases overwhelm the pattern. Review the card after each fieldwork round and on any material product or organisation change. The audit trail should preserve who changed the card, why and which decisions used the earlier version.