Just the essentials: get the datapoints retail & e-commerce brands need to make better decisions

See our complete guide: Predictive AI for e-commerce and retail brands.

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If you’re leading marketing at a retail or e-commerce brand—like apparel, furniture, or subscription boxes—you already know how critical data is to keeping the funnel moving. You’ve built strong programs to drive traffic, grow carts, and keep customers coming back. But there’s always another level of efficiency and ROI to unlock when you have richer context on the households you’re targeting.

Think about segmentation for campaigns: better data means fewer wasted impressions, more personalized offers, and higher conversion rates. That’s where Faraday comes in.

The Faraday data platform

To take your efforts further, you don’t just need more data—you need the right data, delivered in a way that’s immediately usable across your CRM, ESP, and ad platforms. That’s where Faraday’s three-part data platform comes in:

• Identity completion: Fill in the blanks with verified names, addresses, emails, and phone numbers so every record maps to a real household.
• Consumer data: Enrich your customer records with the Faraday Identity Graph (FIG), which includes over 1,400 responsibly sourced datapoints covering 240M U.S. adults and households. These datapoints span demographics, lifestyle, property, and behavioral attributes that make segmentation, targeting, and prioritization easy—even before layering on custom predictions.
• Custom predictive datapoints: AI-trained scores built on your own records—like Likelihood-to-Purchase, Best-First-Product, or Credit Score Proxy—so you can prioritize and personalize at scale.

Essential data packages

One way we make the consumer data layer easier to use is by curating industry essential data packages: sets of just the datapoints that we’ve determined to be most predictive for your industry. We identify these datapoints using our Faraday predictor leaderboard, which ranks datapoints by their predictive power in each particular industry vertical. For retail/e-commerce, these packages are tuned to help segment audiences, tailor offers, and boost conversions.

How they’re chosen: We analyze all 1,400+ datapoints in the FIG and surface the ones with the strongest predictive signals for your vertical. That way you get the attributes that matter most, without paying for data you don’t need.

How they’re delivered: Essential data packages show up just like any other Faraday datapoint—directly appended to your records in your CRM, ESP, or ad platform in real time through our API or in scheduled batch. No extra setup required.

How they’re different: Most data vendors hand you a pile of raw attributes. Faraday packages are curated, validated, and aligned to your outcomes. Our data is high-quality, responsibly sourced, and refreshed regularly—and we take on the work of figuring out what’s actually useful for you.

The retail/e-commerce essential data package

Here’s what’s included in the standard package for retail & e-commerce brands:

Data Trait	Description
Fashion accessories and beauty spending quintile	Average dollars spent on the fashion accessories and beauty category, bucketed into 5 quintile groupings
Fashion accessories and beauty purchase recency	Recency of purchase in the fashion accessories and beauty category
Gender	Gender of the individual
Online amount spent on purchases quintile	Total dollars spent on online purchases within lifetime activity, bucketed into 5 quintile groupings
Shopping styles	Segments households by preferred shopping behavior—online, in-store, luxury, deal-driven, and more—based on transactions, media habits, and survey data
Miscellaneous online topic spending interest	Flags households with reported online spending in topics not covered by other interest categories
Purchased via internet	Likely to make purchases via the online channel
Home market value	Modeled market value of the property in dollars
Length of residence	The number of months the resident has lived at this location
Retail spend share quintile	Ratio of transactions within the retail channel compared to overall transactions, bucketed into 5 quintile groupings
Online purchase count quintile	Total lifetime number of online purchases made, bucketed into 5 quintile groupings
Home and fashion trend spending quintile	Average dollars spent on the latest trends in home decor and fashion, bucketed into 5 quintile groupings
Household education	Highest education level attained by any adult member of the household
Child presence in household indicator	Indicates whether a child is present in the household
Home and fashion trend purchase recency	Recency of purchase in the trendsetters category
Total amount spent on purchases quintile	Total dollars spent on purchases within lifetime activity, bucketed into 5 quintile groupings
Sports merchandise activewear spending quintile	Average dollars spent on the sports merchandise & activewear category, bucketed into 5 quintile groupings
Beauty and spa spending quintile	Average dollars spent on the beauty and spa category, bucketed into 5 quintile groupings
Low to median household income pct	Estimates the share of households in the surrounding postcode earning at or below 80% of the postcode median household income
High price female apparel accessories spending quintile	Average dollars spent on the high ticket female apparel/accessories category, bucketed into 5 quintile groupings

These datapoints give you immediate visibility into whether a prospect is likely to be a fit for your brand and how best to reach them, before you spend on acquisition or campaigns.

Why this matters

When you add these essentials to your records, you:

• Save money by excluding low-fit audiences before they eat up ad budget.
• Increase conversions by personalizing campaigns to the right households.
• Boost efficiency by matching offers to the channels households actually prefer.
• Prove ROI to the CFO with data-driven evidence that marketing spend is driving sales and lifetime value.

Closing: smarter data, real results

Industry essential data packages are how Faraday makes your records AI-ready, without heavy lifting from your team. Combined with verified identity completion and custom predictive datapoints, they give you the full modern data stack your retail or e-commerce brand needs to compete.

Ready to see how these datapoints can transform your funnel? Get started on buy.faraday.ai for self-serve access, or talk to a Context Consultant if you're evaluating for a larger contract or want to talk through activation angles.