Get the B2C data your brand needs to stop patching gaps and start executing

Most marketing teams aren't starting from zero. You have CRM records, campaign data, transaction history — probably more than you can act on. But having data and having the right data are two different things. And the gap between them is where budget gets wasted, campaigns underperform, and your team ends up doing work that better data would have made unnecessary.

The right question isn't "how much data do I have?" It's "do I have the data that lets my team stop compensating and start executing?"

What goes wrong when the data is wrong

The same patterns show up for consumer brands across industry verticals — sometimes as a campaign that outright fails, more often as the quiet drain of time your team spends manually compensating for gaps the data should have filled. Here’s how that might look for you:

• A brand builds their entire acquisition strategy around a customer profile that turns out not to reflect their most valuable buyers — and spends years optimizing for the wrong person.
• A paid media campaign misfires because the targeting is built on assumption-based profiles instead of actual purchase signals — the right message reaches the wrong people, and someone spends two weeks in spreadsheets trying to figure out why the numbers look off.
• An inbound sales team wastes hours on leads that were never going to convert, because there's no signal to distinguish high-value prospects from low-value ones until a rep is already on the phone.
• An outbound sales team can't reach half their customer list because the records are missing valid emails, phone numbers, or addresses — and somebody has to go fix that before anything else can happen.

In every case, the brand had data. They just didn't have the data that would have prevented the wrong decision.

What the right data actually looks like

The right data isn't a single thing. It's three layers, each doing distinct work:

Verified identity data. Clean, foundational fields — name, phone, email, address. These make sure you can actually reach your customers, eliminate duplicates, and build a complete view of each household. Everything downstream depends on this being right.

Customer profile datapoints. Curated context like household income, homeownership, Credit Score Proxy, and industry-specific essentials packages (see our offerings for home services, retail/ecommerce, and financial services). Use these to segment audiences, tailor messaging, and prioritize outreach based on signals that have actually been shown to drive value in your vertical.

Custom predictive signals. Predictive scores trained on your specific outcomes and customers — likelihood to convert, best product recommendation, persona assignment. Because they're built on your data, not generic benchmarks, they reflect your business and get sharper over time. Use them to tell your team exactly where to focus: which leads to call first, which product to surface, which customers to retain.

The key is knowing which layer solves which problem. You don't throw all of it at your CRM at once and see what sticks. An informed data strategy means identifying which specific categories of data — and which specific datapoints within those categories — actually drive value for your business right now. When you get that right, here's what becomes possible.

What this actually changes

Once you have the right data foundation, the same problems that were draining time and budget become solvable:

• Know your real ICP. Instead of building an acquisition strategy around an assumed customer profile, you have the data to understand who actually buys from you and where to find more of them.
• Personalize at scale. Instead of generic messaging that treats every customer the same, you have the context to tailor offers, timing, and creative to the specific people most likely to respond.
• Score and prioritize leads. Instead of burning hours on leads that were never going to convert, you have predictive signals that tell your team exactly where to focus their time.

Ready to get the right data?

Most brands we talk to are a few targeted datapoints away from campaigns that actually work. Explore what's available at buy.faraday.ai — or talk to a context consultant if you want help figuring out exactly which ones move the needle for your business.