Homie customer spotlight: Changing the way we buy and sell homes
Homie’s mission is to make homeownership easy, affordable, and accessible to all. To date, they estimate they’ve saved their clients over $61MM.
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Using data science to predict customer value
Knowing the expected lifetime spend of new customers fundamentally informs retention efforts.
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Smart home subscription models depend on prediction
What will really seal the deal on these subscription offerings for any brand, though, is being able to identify and prioritize high-value leads.
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DiversyFund customer spotlight: Using data science to democratize real estate investment
In an age of increasing economic inequality, DiversyFund is using technology and regulatory advancements to open up new avenues of wealth generation for everyday Americans.
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Hatch Collection: Growing a loyal audience with honest storytelling and the right channel mix
We face a challenge not only as a luxury brand, but also as a brand that has a very specific audience on top of that: women who are pregnant, are planning to be pregnant, or just gave birth.
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Poplar partners with Faraday to personalize direct mail marketing
Faraday is pleased to announce a new technology partnership with Poplar, a direct mail platform.
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New Faraday Personas & Insights app for Shopify
"This app is incredible. I used Google Analytics, I used other apps, but the level of customer insights you get from Faraday is a complete game-changer..."
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The weighted scale: Mitigating implicit bias in data science
An algorithm contains the biases of its builder. At Faraday, we have a handful of approaches we use to minimize these effects at each level of our machine learning pipeline.
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Customer data transforms marketing strategies at traditional financial institutions
The hype around customer data right now isn't overblown — it supports smarter strategic decisions and lets marketers deliver more relevant experiences throughout their customers' journeys.
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Klaviyo partners with Faraday to power predictions and personalize marketing
Faraday is able to offer our mutual clients a fully integrated experience with Klaviyo, letting users take predictive and personalized marketing to the next level by enhancing Klaviyo’s Listen, Analyze, and Act features with AI-driven personas and predictions from Faraday.
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3 ways to improve your lead scoring strategy
At Faraday, we employ lead scoring to help brands efficiently reach the best prospects. These are some of the practices we’ve found to be helpful when scoring leads.
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Customer insight fundamentals: Building a framework for access and activation
If you’re going to make an investment in machine learning and seek actionable insights from your customer data, you need to approach the effort strategically.
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Customer insight fundamentals: Understand your customer data to make better predictions
Most data scientists practice some version of what could be called a data survey; the goal is to surface meaningful patterns, gaps, and anomalies with an eye toward prediction.
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Customer insight fundamentals: Data requirements for Customer Insights Reports
The rule of thumb is the more data the better. The more information our models can train off of, or the larger data set to glean insights from will allow for much more meaningful results versus just being based on a random or predetermined set of data.
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Customer retention requires data-driven predictions
To scale revenue and drive profitability, companies need to shift their focus to improving retention rates and increasing the average lifetime value of their customers.
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