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Marketing & Consumer Behavior Personal Value Statement

In the world of digital marketing and consumer engagement, I recognize that while data-driven strategies are essential, when these strategies are built on biased or incomplete datasets, it can perpetuate exclusion, misrepresentation, and consumer distrust. As an AI and data led marketing leader, my core value is to promote fairness, inclusivity, and clarity in how brands transform information into insights. I believe that ethical marketing ensures not only that products reach the right audiences, but also that those audiences are represented and respected in the process. My goal is to build systems and strategies that are culturally intelligent, transparent in their data use, and designed to uplift all segments of the consumer base.

Promote Fairness and Proper Representation

  • Open Communication:  Foster consumer trust by clearly explaining how data is collected, processed, and used to target audiences. Transparently discuss the algorithms driving insights and emphasize diversity in message testing.

  • Continuous Learning: Stay current with emerging insights on bias and representation by engaging in ongoing learning. Via TED Talks, workshops, real-time scenarios, articles, etc. Continuous learning should always be informative and interactive.

Emphasize Proper Data Practices

  • Diverse Datasets: Leverage data from multiple consumer segments, geographies, and behaviors to ensure insights reflect a broad consumer base and avoid echo chambers.

  • Bias Audits: Routinely assess AI/ML models for demographic targeting bias, ad frequency imbalances, and representation inequities. Use fairness metrics such as Equal Opportunity Difference orDemographic Parity, and validate findings with diverse consumer panels.

Ensure Transparency and Accountability

  • Ethical Reviews: Conduct periodic evaluations of data practices, targeting logic, and consumer-facing content to ensure alignment with ethical marketing principles. Incorporate feedback from demographic advisors and consumer behavior researchers.

  • Transparency Reassurance: Maintain clear, consumer-friendly communication about data usage, personalization logic, and AI applications in campaigns. Include opt-outs and algorithmic explainability options where appropriate.

Foster an Inclusive Work Culture

  • Diverse Teams: Creating teams with different experiences or demographics to include varied perspectives. This approach promotes a diverse ideation, messaging authenticity, and campaign outcomes.

  • Creating Safe Spaces: Ensuring there are safe spaces that are open for discussions about bias, ethics, and innovation. Fostering an atmosphere of support and acceptance so team members feel comfortable sharing questions, concerns, or experiences.

I, James S. Poore III “Trey”, hereby promise to always implement and uphold these values within the workplace. Creating a safe, innovative, and credible environment.

@TreyPoore

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