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Getting Your Data AI-Ready: The Foundation for Smarter eCommerce

By Cary Lawrence

AI officially has its foothold in the eCommerce industry, and many marketers are diving in with hopes of reaping the benefits. However, even the best AI tools will not deliver meaningful results without the right data foundation. Teams need to ensure they are laying the proper groundwork. From a brand’s own first-party data to its third-party enrichment partners, preparing your data for AI ensures accurate outputs and reliable, actionable insights that support long-term profitability.

As marketers, we often assume that more data equals better output, but this is not always true. AI tools are only as good as the data that fuels them, and that data typically comes from a mix of internal and external sources that can vary in accuracy or relevance. Outdated, duplicate, or inaccurate data can lead to poor predictions, missed opportunities for personalization, and wasted ad spend. Ensuring the structure, reliability, and context of your data is essential for strong decision-making. In short: bad data in, bad insights out.

A brand’s first-party data is its most valuable asset because it is clean, verified information collected directly from owned channels, including purchases and customer surveys. But first-party purchase data can only take you so far. To unlock a fuller picture of your customers, brands can enrich their first-party data with select third-party attributes such as demographics, lifestyle indicators, and household data. This combination of sales data, lead lists, and enrichment enables advanced segmentation and personalization.

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