GREAT DATA SCIENtists ARE a bit like GREAT CHEFS
Think of it this way. It’s not just the data elements or facts (ingredients, if you will) all by themselves. The magic is learning how to understand the relative importance of each, and then, how exactly to combine them, that brings forth the desired result. But as any chef will tell you, it’s far better to have an ingredient and choose not to use it, than to need it, and not have it.
We’ve spent 3+ years gathering and analyzing billions of ingredients. 300M+ consumer profiles, 80M business profiles and hundreds of additional related data types. The result is deeply enriched, nuanced and exponentially more actionable, predictive data about prospects for people like you, who sell, manage and market products and services.
Bon Appetit.
WHAT YOU learn TODAY:
The typical internet lead offers limited information, low contextual value.
“I like Pina Coladas, and getting caught in the rain, I live at 100 Elm Street, and I need gutter drains”
Except you don’t really know about the umbrella drinks, or their walking in the rain habit– we threw that in just for fun.
You have no way of knowing if the “prospect” is real, qualified or simply a dreamer that’s wasting your time. Truth is, for most products and services, you get a name, product of interest and an email address.
That’s it. A few tiny bits out of a thousand-piece puzzle called a prospect.
WHAT YOU learn USING AIDENTIFIED:
We enrich leads to enable qualification and predictive propensity. Turns out, gutter drains can indicate more than meets the eye.
“I like Pina Coladas when I travel to Hawaii 3-4 times per year I usually only drink them at 5-star boutique hotels with my tech industry spouse while our two middle-school kids ditch us, insisting they’re “just hanging out at the pool, dad” Right.
Oh, yeah, we live at 100 Elm Street in a $1.6M Dutch Colonial we bought 4 years ago. BUT the kids are growing up fast and we might need a bigger house so we’re fixing this one up for sale, hence the gutter drains. My parents live down the street at 320 Elm. They’re getting older and will need some additional services pretty soon when they sell their house.
Our combined income is $435K and growing nicely––as is our wealth score. We don’t appear on run-of-the-mill “wealth” databases because we prefer rock climbing to country clubs, we’re not on the usual suspect lists for invitations to charity galas, and we prefer taking the kids and the dogs on adventures.
We’re the millionaires next door, but we generally keep a low profile.
We’re actively looking to purchase a vacation home because she just had a notable liquidity event (!)
We need a 3-car garage to hold the minivan, a weekend convertible, and an eco-friendly golf cart as we’re most interested in buying on a golf course. We need advisors to structure a family trust, make some additional college investments and spread the joy around with donations to our alma maters and some eco-friendly non-profits our family believes in. She wants her $1.4M windfall to be invested wisely.
And, Aidentified connected you to them through two of their neighbors.
There are dozens of actionable pieces of information in an Aidentified profile––We provide a 360 degree view of prospects by combining consumer and professional data enriched with behavioral analytics, dynamic insights, various triggers such as wealth events, purchase history and intent and comprehensive, nuanced relationship mapping, all gleaned from hundreds of specific categories of data.