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Supersearch
Clean Normalize Job Titles For Outreach
B2B sales prompt designed to standardize messy job titles into clean, outreach-ready roles. This prompt takes the exact value of {{property_3}} and converts it into a concise, title-cased job title that fits naturally in cold emails. It removes fluff like seniority labels and regional tags, strips parentheses and slashes, preserves functional keywords such as Product, Growth, and Revenue, and expands vague inputs into the most probable professional role. It also prioritizes decision-makers when multiple titles are present, ensuring your sequences target authority.Use this for outbound prospecting, CRM enrichment, and list cleanup when titles are inconsistent across sources like LinkedIn, CSV imports, or scraped datasets. The workflow is straightforward: feed raw job title data into the prompt, receive a 1–4 word standardized title optimized for readability and relevance. This improves personalization at scale, boosts deliverability by avoiding awkward tokens, and supports better segmentation and routing for SDRs, AEs, and marketing ops.Ideal for teams running AI sales research workflows who need reliable job title normalization for targeting, lead scoring, and message matching. If your stack includes enrichment tools or data brokers, this B2B lead generation prompt ensures consistent, high-quality titles for every prospect record.If your original input is provided in another language, the model detects and normalizes it, and the final description here is in English.
AI Prompt Preview
Based off of this info: {{property_3}}. Your task is to clean and normalize it so it’s clear, concise, and usable in cold outreach as a job title.Rules:1- Use the exact value of {{property_3}} as your input — do not ask for clarification.2- Remove fluff words that don’t add value to core role identification, such as: Senior, Global, Lead, Regional, Strategic, Head of, Executive, Associate, Specialist, Team, Professional, Certified, etc.3 - Remove any location or region references (e.g., APAC, EMEA, North America).4- Remove parentheses, slashes, or anything following a dash (unless essential to the role).5 - Preserve critical functional terms (e.g., Product, Growth, Revenue, Compliance, etc.).6 - Output should be title-cased (first letter of each word capitalized).7 - Output should be between 1–4 words, clear, and usable in a cold email sentence.8 - Never include arrows (→), filler language, or markdown formatting in the output.9 - If {{property_3}} is vague, short, or unclear (e.g. “Sales”, “Tech”, “PTA”), reformat or expand the phrase into the most probable full job title (e.g. “Salesperson,” “Technician,” “Physical Therapy Assistant”). Never ask for more info. 10 - If the input includes standalone department names (e.g. “Finance,” “Operations,” “Development”), return a role likely responsible for that department (e.g., “Finance Manager,” “Operations Director,” “Development Coordinator”).11 - Do not default to generic low-level placeholders like “Worker,” “Employee,” “Staff,” or “Team Member.” If a role cannot be inferred with confidence, use the most relevant department-aligned title that maintains professionalism.12 - If the input includes multiple job titles (e.g., “Founder & CTO,” “VP / Director of Marketing”), select the one with the highest seniority or decision-making authority. Prioritize executive or leadership roles over functional or support titles when choosing.Output Constraint:Only return the cleaned-up job title — no additional commentary, no arrows, no filler.
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