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How can a Market Associate use analytics to improve performance?

Increase prices unilaterally without data.

Review order history, identify trends, adjust stock, and tailor offers to customers.

Analytics lets a Market Associate turn data into action. By reviewing order history, you can spot patterns such as which items are in high demand, seasonal shifts, and changing customer preferences. Recognizing those trends informs how you adjust stock—so you have enough of popular items and fewer slow-moving ones. It also lets you tailor offers to customers, creating promotions and bundles that match what buyers actually choose, which can boost both sales and satisfaction. This data-driven approach uses multiple signals to align inventory and promotions with real demand, rather than guessing or relying on gut instinct. In contrast, deleting data-driven steps like data-free price increases, tracking only delivery times, or ignoring historical data misses these opportunities and can lead to poorer performance.

Only track delivery times.

Ignore historical data when planning.

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