{"id":54363,"plugin_id":"plugins_6ad44c10e5c88191ab8aadd4795aa79e","kind":"skill","collection_source":"plugin_package","comparison_source":null,"observed_at":"2026-10-24T18:05:38.887Z","digest":"8ddb6b52f728029f2a5b4b4788fd31f5e2d8a0713ab15779134bcc5b6daca681","against":null,"payload":{"description":"Develop buyer personas, audience segments, buying roles, emotional motivations, decision profiles and marketing or targeting hypotheses. Use for persona creation, persona reviews, segmentation or the audience stage of a marketing plan. Positioning is optional input, not a required prior workflow.","included_files":[{"relative_path":"agents/openai.yaml","size_in_bytes":338},{"relative_path":"assets/delucks-brand-icon-v2.png","size_in_bytes":70053},{"relative_path":"references/empathy-map.md","size_in_bytes":1538},{"relative_path":"references/jobs-to-be-done.md","size_in_bytes":1394},{"relative_path":"references/working-rules.md","size_in_bytes":6946}],"name":"marketing-personas","skill_md_contents":"---\nname: marketing-personas\ndescription: \"Develop buyer personas, audience segments, buying roles, emotional motivations, decision profiles and marketing or targeting hypotheses. Use for persona creation, persona reviews, segmentation or the audience stage of a marketing plan. Positioning is optional input, not a required prior workflow.\"\n---\n\n# Buyer Personas\n\nApply [Shared working rules](references/working-rules.md) before responding. This is the audience skill in Marketing Strategy & Planning.\n\n## 1. Reuse the positioning or start directly\n\nUse any available positioning brief, offer description and customer evidence. If useful context is missing, offer three concise paths: use supplied positioning, start personas with provisional assumptions, or develop positioning with the companion marketing-positioning skill. Do not force a prerequisite or refer to a separate GPT.\n\nAsk only for missing essentials: the business/offer, target market, objective, known audience segments and available customer evidence. Treat CRM summaries, interviews, support themes and user research according to their source and limitations. Do not request unnecessary personal customer data.\n\n## 2. Define segments and buying roles\n\nSegment by needs, buying situations, company context or behavior before inventing fictional profiles. For B2B, distinguish users, champions, decision makers, budget holders and blockers where relevant; one company can contain several buying roles.\n\nFor each segment establish:\n- Job or role, relevant responsibilities and company context.\n- Relevant demographics only when supported and useful to the buying decision.\n- Buying trigger, main job to be done, current alternatives and constraints.\n- Expected value, buying criteria and barriers.\n\nUse [Jobs-to-be-Done](references/jobs-to-be-done.md) to focus on desired progress. Do not infer personality, needs or purchasing power from age, gender, nationality or job title alone. Mark unsupported attributes as unknown or as hypotheses.\n\n## 3. Explore interests and challenges\n\nSeparate general interests from professional topics and practical challenges. Connect each proposed interest to the offer and buying situation. Make clear which points come from the user or research and which are suggested for validation.\n\nUse [Empathy Map](references/empathy-map.md) when richer insight is useful: what the audience sees, hears, thinks/feels, says/does, finds painful, and wants to gain. Do not present imagined statements as interview quotes.\n\n## 4. Analyze emotional motivations\n\nUse an emotional-targeting approach inspired by the supplied Talia Wolf framework; do not imply affiliation, certification or clinical assessment.\n\nFor each segment propose:\n1. The top three plausible emotional challenges before purchase.\n2. Main concerns and purchase barriers.\n3. Desired emotional outcomes after purchase.\n4. Self-image and social-image considerations, where relevant.\n5. Language, imagery and storytelling themes appropriate to the situation.\n\nIn guided mode, discuss one segment at a time and invite correction before proceeding. Do not exploit vulnerabilities or invent hidden fears as facts.\n\n## 5. Add a decision and communication profile\n\nWhen useful, use DISC-inspired tendencies as an optional communication hypothesis, not a validated personality test or a fixed diagnosis:\n- D: preference for directness, outcomes and control.\n- I: preference for interaction, enthusiasm and shared ideas.\n- S: preference for stability, reassurance and dependable relationships.\n- C: preference for detail, analysis and evidence.\n\nDo not assign a personality type to an entire demographic or profession. Describe observed or hypothesized decision behavior instead: decision speed, analytical versus intuitive emphasis, coordination needs and risk tolerance. Acknowledge mixed tendencies and situational differences.\n\nDerive trust signals, likely objections, conversion friction, tone, argument structure and useful content formats. Confirm these hypotheses at segment level before incorporating them into the final profiles.\n\n## 6. Translate insights into audience and targeting hypotheses\n\nSuggest Meta Ads audience concepts and, for B2B, LinkedIn Ads concepts when relevant. Separate:\n- The strategic segment and why it matters.\n- A proposed platform audience concept.\n- An exact targeting option verified in current official documentation or a user-provided account view.\n- An option whose current account/market availability still needs checking.\n\nDo not imply a conceptual interest is a selectable platform option. Do not fabricate audience sizes, costs, targeting availability or campaign results. If current verification is unavailable, label the recommendations as concepts to check in the account. Never create or modify campaigns as part of this skill.\n\nConnect each segment to message, offer, channel and desired conversion. Respect applicable platform constraints when known and verify current rules if advising on them.\n\n## 7. Finalize the persona profiles\n\nUse neutral fictional names or descriptive segment labels; make clear that these are composite working models. For each persona include:\n- Role and buying responsibility.\n- Relevant company context and supported demographics.\n- Motivation, buying trigger and job to be done.\n- General interests, professional interests and challenges.\n- Emotional challenges, objections and desired outcomes.\n- Self-image/social-image considerations and language/imagery.\n- Decision behavior, trust signals and conversion barriers.\n- Audience/targeting concepts with verification status.\n- Recommended message, proof, content formats and desired action.\n- Evidence, unknowns and hypotheses to validate.\n\nInvite focused corrections. Do not make completion depend on collecting irrelevant demographic details.\n\n## 8. Validate and hand off\n\nProvide a small research and test plan: priority assumptions, interview questions or data needed, segment-specific message hypothesis, conversion metric and a decision criterion. Distinguish correlation from causality and avoid splitting tiny audiences into many inconclusive tests.\n\nOffer a Word export retaining the substantive work. Suggest refining positioning or using marketing-pr-planning to reach the relevant audiences when useful. Do not start other workflows without the user's request.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}