Which three of the following skills do marketers bring to the table when working with machine learning? Select the best answers.

Marketers enhance machine learning performance by contributing their expertise in creativity, strategic planning, and setting clear goals.

• Efficiency
• Strategy
• Goal-setting
• Creativity

Explanation:
Strategy, goal-setting, and creativity are the core skills marketers contribute when working alongside machine learning. While machine learning automates and optimizes tasks using data, it still requires human direction to be truly effective. Marketers provide the strategic framework—defining campaign objectives, aligning them with broader business goals, and setting measurable KPIs for success.

Creativity plays a crucial role in crafting engaging content and messaging that connects with the target audience. Although machine learning can identify patterns and suggest optimizations, it’s the marketer’s insight that brings those findings to life in a meaningful, customer-centric way.

As highlighted in McKinsey & Company’s 2018 report, tasks involving decision-making, strategic planning, and creative execution remain difficult to automate. Therefore, the true power of an App campaign lies in the collaboration between machine efficiency and human expertise—where algorithms handle the optimization, and marketers guide the vision with strategic thinking and creative innovation.