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A strong e-commerce dataset can give you brand-new insights into your own customer database. This data lets you quickly analyze online purchases and buying trends while identifying new opportunities in your target market.

WHAT ARE THE BEST WAYS TO UTILIZE ECOMMERCE DATA?

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Market Intelligence

Understand the e-commerce market with both historical and real-time data. Our e-commerce data can help you gain valuable insights on which websites potential buyers will most likely use to purchase specific products and services. This helps marketers find new campaign opportunities and can help you make more informed decisions about your business objectives.

Pricing Intelligence

Our product datasets contain information about the price of certain products. The historical data within this dataset shows trends in how pricing changes over time and the most effective price point for a product or brand. Businesses can then utilize this data to determine how to price their products in the competitive market.
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Demand Prediction

Plan for future sales and strategies by accurately identifying and predicting trends in supply and demand. There were over 2 billion online shoppers in 2020, so being able to predict key buying habits and trends is critical to your success.
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Retail Forecasting

With our e-commerce dataset, you can accurately predict supply chain forecasts and sales by using this data to monitor customer behavior. In turn, this historical and real-time data can help you adapt your marketing and supply strategies to better suit current and future customer demands.

KEY ATTRIBUTES

Our extensive e-commerce database contains valuable information across multiple verticals as well as information on products, consumer behavior, and sales.

Customer Demographics

Narrow in on the right customers who are most likely to be interested in your product or service.

  • Age
  • Location
  • Gender
  • Product preferences
  • Preferred brand
  • Most recent purchases

Conversion Metrics

Gain more insights on online customer conversion behavior, including:

  • Number of online purchases
  • Specific sales data
  • Conversion rates
  • Average order value
  • Shopping cart abandonment rate
  • Cost per acquisition

Email Engagement

Analyze customer behavior and intent based on how prospects/customers respond to emails. This includes:

  • Email list growth rate
  • Email bounce rate
  • Open rate
  • Conversion rate
  • Click through rate
  • Unsubscribes

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