How It Works
To start, simply upload your customer list. The platform formats and cleanses the list, then appends hundreds of variables to provide unique insight.
Our predictive algorithms identify what sets your customers apart, and finds similar look-alike prospects accurately in real-time.
Get easy to understand predictive profiles, then order and download hyper-targeted lists on the spot.
We're Replacing Manual Data Science With End-To-End Predictive Automation
Until now, predictive analytics has been a tedious, spotty, and expensive process of manual data science, requiring large teams and long timelines.
Reach's self-service predictive platform provides end-to-end automation that includes cleansing, de-duping, third-party data appending, real-time modeling, reporting, prospect identification, scoring and list downloading.
Marketers can build profiles in minutes, no need for data curators, database administrators, or data scientists.
Capabilities And Features
Download contact details for predictive-based prospects to use in direct mail, email or social campaigns.
Flexible Data Input
Build new predictive models using either email addresses, or a name and address combination as your input.
Comment on and share predictive profiles with team members for faster insight sharing, feedback and decision-making.
Set custom filters like age or gender, or download multiple lists for micro-segmented campaigns with unique messaging.
Easily input suppression lists to better manage your contact strategy.
Refine targeting at the state and ZIP code level, or set a specific radius around important locations.
Customer Intelligence Benchmarks
Get accurate US and market benchmarks to compare with customer averages.
Uncover Real Profiles
Don't presume to know a consumer segment based on gut feel and fragmented data. Learn more about your ideal prospects with the leading self-service predictive marketing platform designed for marketing teams.GET A FREE TRIAL
Don't settle for guesswork. Reach Better Prospects
THE NEW MILLENNIAL LUXURY BUYER
- Highly likely to come from a multi-generational household, with both 18 and 55+ individuals in the household.
- Already serious about their careers, while showing a penchant for international travel, current affairs, theatre, and community outreach.
- College educated and mostly married, but can have zero to three kids.
- Frequent purchasers, with an average online purchase up to $500 dollars and offline purchase average up to $50k.
- 2.7x more likely to be premium card holders and have a net worth between $250k up to $2M.
- Highly likely to be heavy credit users, with 5+ lines of credit, but not recent home purchasers.
- Come from households that tend to be charitable across the board, with no distinct skew toward particular causes.
"What's impressive is how Reach has automated the entire process-from model building, to customer profiling, to prospect generation. Their ability to analyze customer data and profile consumers is way beyond what anyone is doing in the market. Other companies say they're doing the things that Reach is actually doing."
-STEVE KIETZ, PRESIDENT AT INTE Q
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