
Audience research
Part of Planning email software audience research around four distinct populations
How to research email marketing software buyer personas
Research email marketing software buyer personas using ESP records, buyer interviews, deliverability signals and UK privacy safeguards.
Email marketing software buyer personas should be evidence summaries, not fictional characters. A useful persona records a real decision role, the work observed, variations in context and the studies supporting each statement. It does not need a made-up name, stock photograph, quotation or market percentage.
What to take away
- A persona should record a real decision role and the studies behind each statement, not invented names or photographs.
- Keep the business buyer, campaign operator and email recipient as separate records because they are distinct populations.
- Build role cards only after coding evidence, and label single-participant assertions as cases rather than shared traits.
- Set access, retention and redaction rules before creating cards, since combined detail can identify a participant.
- Replace every unsupported adjective in an existing persona with an evidence ID or an open question.
A persona is not the whole audience
The business account, purchasing decision-maker, campaign operator and email recipient are distinct populations. One person can occupy several roles in a small firm, while a larger organisation may split them across marketing, procurement, IT, privacy and finance. A persona should describe one role in a defined setting.
GOV.UK's guide to planning user research says profiles or personas can capture what a team has learned. Its guidance on learning user needs says those needs should come from research rather than assumptions. These are government service-design practices, not findings about email buyers.
Research the ESP buying journey
Start with the decision you need to understand: selecting, renewing or migrating an email service provider (ESP), or changing a broader marketing automation platform. Mailchimp, Klaviyo, HubSpot and Brevo are examples of vendors a buyer may evaluate; treat them as research scope, not as a recommendation or comparison.
Look for evidence across the buying journey. Internal sources can include sales-call notes, CRM opportunity outcomes, support tickets, onboarding feedback, churn or exit surveys, and product or ESP analytics. These can show what buyers report, where they get stuck and which features are used; they do not, by themselves, explain why a decision was made.
Use buyer reviews and comparison pages on G2, Capterra and Gartner Peer Insights to identify language, concerns and follow-up questions. Treat reviews as prompts for interviews, not as representative evidence of how common a concern is.
For deliverability research, include the postmaster or deliverability lead where the organisation has one. Ask about sender reputation, inbox-placement testing and the evidence the team uses when choosing or changing an ESP. Google Postmaster Tools is one named source a participant may use; record what the participant actually relies on rather than assuming every organisation uses it.
Common research triggers to screen for include a planned migration or renewal, difficulty with existing campaign workflows, and deliverability concerns. Record the trigger as reported by the participant and distinguish it from your interpretation.
Recruit for roles and buying context
Use purposive recruitment: seek people with direct experience of an ESP purchase, renewal or migration, and include the distinct roles involved. A screening conversation can establish the participant's responsibility, involvement in the decision, the type of organisation and whether they operate campaigns, manage deliverability or approve the supplier. In a larger organisation, include procurement, IT, privacy or finance when those teams take part in the decision.
Recruit through permissioned customer-research lists, relevant sales contacts, opt-in research panels or professional communities. Make participation voluntary and follow your organisation's privacy process when using customer or prospect records. There is no universal sample size for every study: set a target that reflects the roles and variation you need to understand, record who was recruited and who took part, and be clear about gaps. Do not present a small qualitative sample as statistically representative.
Use Jobs to Be Done to explore the progress a buyer is seeking, and Nielsen Norman Group (NN/g) persona guidance to keep role summaries grounded in research. These are ways to organise and interpret evidence, not substitutes for collecting it.
Use a short interview protocol
Ask each participant about a specific decision or recent experience, then follow up for examples and artefacts:
- What prompted the search, renewal or migration, and what was happening with the existing ESP?
- What work did you need the software to support? Can you describe the current workflow?
- Who evaluated, used, approved or blocked the decision, and what did each person need to see?
- What criteria mattered, including integration, privacy, procurement and deliverability requirements?
- How did you assess sender reputation or inbox placement, and what evidence would change your decision?
- What alternatives did you consider, what caused delay, and what would make you switch?
Ask permission before collecting or recording material, and note the participant's role and the evidence supporting each finding.
Use a source-backed role card
A compact record is easier to audit than a polished biography:
For a UK-wide study, record a participant's UK nation or location only when it affects recruitment or buying context; do not treat an England-only rule as the default.
Source-Backed Role Card Fields
- Role and setting
- Decision handled
- Evidence links
- Constraint found
- Variation and counterexamples
- Coverage counts
- Confidence level
- Review trigger
Source-backed role card
- Role and setting
- actual responsibility, organisation type and England location rule
- Decision
- purchase, renewal, implementation or campaign approval handled in a stated period
- Evidence
- interview IDs, observed artefacts, workflow records and survey items
- Constraint
- contractual, technical, staffing or governance condition actually found
- Variation
- credible counterexamples and circumstances where the pattern changes
- Coverage
- sampling frame, recruitment route, eligible and analysed counts
- Confidence
- observed, reported, inferred or unresolved
- Review trigger
- new study, changed workflow or elapsed date that requires revision
For example, if a deliverability lead says an ESP migration depends on inbox-placement testing, record the role, decision stage and supporting evidence. Keep it as that participant's reported requirement unless other evidence supports a broader claim.
Build cards after analysis
Code each research item by purchase trigger, role, task, decision authority, approval criteria, systems and deliverability concerns. Keep reported evidence separate from your interpretation, and look for differences between buyers, campaign operators and deliverability leads before grouping cases. Use the GOV.UK method for analysing research sessions to help the team extract observations and challenge individual interpretations.
Build Cards After Analysis
- Code evidence by task and authority
- Look for contradictions before grouping
- Extract observations with the team
- Create card for a product decision
- Link evidence, dates and researcher
- Label single-participant claims as cases
Create a card only when several related observations help a specific product decision. Keep links to the underlying evidence, fieldwork dates and researcher. If an assertion depends on one participant, label it as a case rather than a shared characteristic.
Do not merge an operator and buyer merely because both use the same platform. The operator can explain list preparation, campaign workflows and approvals. The decision-maker can explain budget authority, supplier checks and contract timing. A deliverability lead or postmaster can explain sender reputation and inbox-placement evidence; recipient experience belongs in another record entirely.
Protect the people behind the summary
Persona detail can make a participant identifiable even after names are removed. GOV.UK's research-data privacy guidance advises collecting the minimum participant information, restricting access and deleting details when no longer needed for the research purpose.
Set access, retention and redaction rules before creating cards. Review combinations of sector, job title, location and organisation size that could expose a person. Participation consent and the UK GDPR lawful basis are separate questions, so a named data-protection reviewer must approve the real process.
Validate rather than decorate
Validate the draft with eligible buyers, operators or other decision-makers from the roles the card describes. Ask what fits, what does not and what is missing; record the recruitment route and response denominator. Revise or split the persona when important workflows or purchase responsibilities diverge.
The next action is to replace every unsupported adjective in an existing persona with an evidence ID or an open question. Retire any card whose source study, population, geography or date cannot be recovered.
Before you act
- Gather internal evidence from sales, CRM, support, onboarding, churn and product records.
- Identify the purchase, renewal or migration decision and the roles involved.
- Recruit participants with direct experience and record gaps in the sample.
- Ask about triggers, workflow, approval criteria, alternatives and deliverability evidence.
- Code reported evidence separately from interpretation and link claims to source IDs.
- Check the lawful basis, participant information, access, retention and redaction process.
Common questions
Why should a persona not be a fictional character with a name and photograph?
A persona should describe an evidence-backed role, such as an ESP buyer, campaign operator or deliverability lead, rather than a fictional character. A made-up name, stock photograph or invented market percentage cannot show who approves a purchase, what campaign work needs support or how a team assesses sender reputation. Keep each claim traceable to research.
How should a team decide when to create a persona card?
Code evidence by purchase trigger, task, decision authority, approval criteria, systems and deliverability concerns, then look for contradictions between roles. Jobs to Be Done can help organise what progress a buyer seeks, while NN/g persona guidance can help keep the resulting summary evidence-based. Create a card only when related observations help a specific product decision, and label single-participant assertions as cases.
What privacy rules apply before creating persona cards?
The ICO is the UK's data-protection authority. Consult its guidance, document an appropriate UK GDPR lawful basis before processing personal data, and explain data use and recording to participants. Consent to participate is not automatically the lawful basis for processing; if consent is chosen as that basis, it must be freely given, specific, informed and unambiguous, and as easy to withdraw as to give. Set access, retention and redaction rules, and involve your privacy lead.



