Purchase History Data for E-commerce Companies

You’re running an e-commerce business, but how much do you really know about what your customers buy outside your store? Do you know their product category preferences? Their buying patterns across retailers? Their brand affinities? Without purchase history intelligence, every product recommendation is based on limited data from your store alone.

It’s missed cross-sell opportunities because you don’t know what else they buy. It’s generic recommendations because you can’t predict their preferences. It’s lower conversion rates because your personalization is based on incomplete purchase intelligence. Every customer has a rich purchase history across dozens of retailers—but you only see the tiny slice that happened in your store.

How much more could you sell if you understood your customers’ complete purchase behavior, not just what they bought from you? Think about the reality. A customer buys running shoes from your store. But you don’t know they also buy fitness apparel, sports nutrition, and outdoor gear from other retailers. You recommend more running shoes when you should be recommending complementary products they’re already buying elsewhere.

Consider what happens with customer acquisition. You’re trying to build lookalike audiences to find new customers. But your lookalikes are based only on what people bought from you—a fraction of their total purchase behavior. You’re missing the broader purchase patterns that would help you find truly similar customers. How can you personalize effectively when you only see a sliver of your customers’ actual buying behavior?

And here’s the strategic problem: without purchase history intelligence, you can’t predict what customers will buy next. You can’t identify high-value customers based on their total spending across categories. You can’t optimize product assortment based on what your customer base actually buys. You’re operating with blinders on, seeing only your own transactions while competitors with purchase intelligence are personalizing based on complete customer profiles. What’s the revenue opportunity you’re missing by not understanding your customers’ full purchase behavior?

Purchase History Data Built for E-commerce

Our purchase history data services are designed specifically for e-commerce companies who need complete customer purchase intelligence to personalize effectively and maximize revenue. We append product category preferences, buying patterns, brand affinities, and purchase propensities so your recommendations are based on actual customer behavior across all retailers.

What We Deliver

Product Category Preferences: We append data about which product categories your customers buy—apparel, electronics, home goods, beauty, sports, etc.—so you can recommend products aligned with their actual interests.

Purchase Behavior and Patterns: We add buying frequency, average order values, channel preferences (online vs. in-store), and seasonal patterns so you can time offers and predict purchase likelihood.

Brand Affinity and Loyalty Indicators: We enrich your data with brand preferences, luxury vs. value orientation, and loyalty patterns so you can position products appropriately and identify high-value customer segments.

Cross-Category Purchase Intelligence: We provide insights into complementary product purchases across categories so you can identify cross-sell opportunities you’re currently missing.

The Power of Complete Purchase Intelligence

Imagine the feeling of confidence when your product recommendations are based on complete customer purchase behavior, not just what they bought from you. No more generic recommendations. No more missed cross-sell opportunities. No more guessing what customers might want. Just the precision that comes from understanding their actual buying patterns across all retailers.

Your e-commerce performance transforms. Conversion rates climb because recommendations are truly personalized. Average order value increases because cross-sell suggestions are based on what customers actually buy. Customer lifetime value grows because you’re meeting needs they didn’t even know you could fulfill. Email campaign performance soars because product suggestions resonate with actual purchase behavior. What would a twenty-five percent improvement in recommendation conversion mean for your annual revenue?

Your customer acquisition becomes more efficient. You build lookalike audiences based on complete purchase profiles, not just your own transaction data. You identify high-value customer segments based on total category spending. You optimize product assortment based on what your customer base actually buys across all retailers.

And as the e-commerce leader or merchandising analyst, you’re competing with complete customer intelligence. You’re not guessing about preferences—you know them. You’re not missing cross-sell opportunities—you’re systematically identifying them. You’re building a data-driven personalization engine that maximizes revenue from every customer relationship.

And here’s something else: when you work with List57, you’re not just getting purchase history data. You’re getting access to our exclusive free merch program. High-quality, stylish, sporty merchandise that you’ll actually want to wear—absolutely free with your order. It’s the kind of unexpected value that makes working with us feel different.