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Aura SocialWhat Makes a Professional Network Trustworthy for Job Seekers? I'm researching what signals and structural features make a professional networking platform feel genuinely trustworthy to job seekers especially those who have experienced spam, ghost listings, or data misuse on major platforms. I'm looking for insights from career coaches, recruiters, HR technology researchers, UX researchers, and professionals who have recently navigated a job search. Specifically: • What platform features build or destroy trust with job seekers? • How do fake or ghost job listings affect long-term platform credibility? • What role do transparency signals (company verification, poster identity) play? • How does pricing (free vs paywalled access) influence perceived fairness? • What must a new professional network do to earn trust from job seekers? Please include your name, role, company, website, and any relevant data or examples if possible.

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ranktracker.comI’m working on a story exploring the role of data in modern digital marketing strategies and how businesses are using analytics to make smarter marketing decisions. I’m looking to hear from marketing leaders, founders, and digital strategists who rely on data to guide campaign optimization, audience targeting, and performance measurement. If your organization uses data-driven insights to improve marketing outcomes, I’d love to include your perspective. Please share a short insight, example, or strategy that highlights how data has influenced your marketing decisions or improved results. Please include your full name, job title, company name, location, and a link to your website or LinkedIn for attribution.

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Property ReachWe are working on an article about how real estate investors use online property data tools to research properties and identify potential opportunities. We are looking for experienced real estate investors, PropTech professionals, or real estate data experts who can share practical insights on how these tools are used. We are especially interested in commentary on: - How investors use online platforms to research property ownership, tax status, or distressed opportunities - What separates high-quality property data tools from lower-quality ones - Which data points investors should prioritize - Common mistakes investors make when choosing or using property research platforms - How investors balance free public data sources with paid tools - Advice for newer investors choosing their first property research platform Requirements: - Real estate investors, brokers, PropTech founders, or real estate data professionals preferred - Must have direct experience using property research tools - Must be available for a 30-minute Google Meet interview - Please include your name, title, company, and a brief description of your experience

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