Just the essentials: get the datapoints home services brands need to make better decisions
Faraday’s essential home-services data package gives brands 20 curated datapoints—like household income, property type, and credit score proxy—to qualify leads, cut waste, and boost installs.


See our complete guide: Predictive AI for home services brands.
If you're leading marketing at a home services brand—kitchen, bath, remodeling, roofing, solar—you already know how critical data is to keeping the funnel moving. You've built strong programs to generate leads, feed the call center, and keep installers busy. 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 qualifying appointments in the call center: better data means fewer no-shows, more productive reps, and more installs. 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, call center, and campaigns. 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 20 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 home services, these packages are tuned to help qualify leads, score calls, and prioritize installs.
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, call center platform, or lead management system 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 home services essential data package
Here's what's included in the standard package for home services brands:
| Data Trait | Description |
|---|---|
| Shopping styles | Segments households by preferred shopping behavior—online, in-store, luxury, deal-driven, and more—based on transactions, media habits, and survey data |
| Is baby boomer | Indicates whether an adult born between 1946–1964 (the Baby Boomer generation) is present in the household |
| Family composition | Classifies the household by the marital status of adults and the presence or absence of children |
| Purchased via sweepstakes | Likely to make purchases via the sweepstakes channel |
| Gender | Gender of the individual |
| Mail order buyer interest | Likely to make purchases via the mail order channel |
| Miscellaneous online topic spending interest | Flags households with reported online spending in topics not covered by other interest categories |
| Individual marital status | Marital status |
| Facebook interest | Flag for household interest in or active use of Facebook, derived from social media engagement signals |
| Dwelling type | Structural classification of the residence (single-family, duplex, townhouse, apartment, mobile home) |
| 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 |
| Household income | Estimated annual household income, based on modeled narrow- and broad-band income ranges |
| High dollar belief causes donor likelihood | Ranks likelihood to donate $500 or more annually to religious causes |
| Income tier derivation | Indicates the type of information used to derive a household's income tier assignment |
| Home year built | Four-digit year the primary building on the property was originally constructed |
| Available home equity amount | Current market value of the home minus outstanding mortgage balance or liens |
| Prominent household profession | The most prominent profession associated with the household |
| Child presence in household indicator | Indicates whether a child is present in the household |
| Credit score proxy | Groups individuals into 12 ranks across 5 tiers (Best to Poor) that approximate credit score; rank 1 (~760) is best, rank 12 (~590) is lowest |
| Credit card payment indicator | Indicates whether the individual has made a purchase using a credit card |
These datapoints give you immediate visibility into whether a lead is likely to be a fit for your business, before your sales team ever picks up the phone.
Why this matters
When you add these essentials to your leads and customer records, you:
- Save money by rejecting unqualified leads earlier in the funnel.
- Increase conversions by prioritizing the right households.
- Boost efficiency Make sure your reps aren't wasting time on unqualified leads, low-fit or no show appointments.
- Prove ROI to the CFO with data-driven evidence that marketing spend is driving installs and revenue.
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 home services 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.

Ben Rose
Ben Rose is a Growth Marketing Manager at Faraday, where he focuses on turning the company’s work with data and consumer behavior into clear stories and the systems that support them at scale. With a diverse background ranging from Theatrical and Architectural design to Art Direction, Ben brings a unique "design-thinking" approach to growth marketing. When he isn’t optimizing workflows or writing content, he’s likely composing electronic music or hiking in the back country.
Ready for easy AI?
Skip the ML struggle and focus on your downstream application. We have built-in demographic data so you can get started with just your PII.