DataRobot in the News
Built For Today's Marketer
The speed of business has accelerated to the point where marketers can no longer get by with traditional methods of attracting, influencing, and retaining customers. To understand and proactively reach both new and existing customers, today’s marketers need to embrace artificial intelligence (AI) to automate and accelerate all aspects of their marketing efforts.
Grouping similar customers for marketing purposes – or “Cluster Analysis” – used to be best practice. Today, consumers demand to be treated as individuals. Clustering decreases targeting efficiency, which equates to less sophisticated marketing, fewer sales, and higher costs. Modern machine learning techniques accurately predict complex human behavior on an individual level.
Time to Market
Human behavior is complex and constantly changing. To keep your marketing strategy up-to-date, your predictive models need to be as fresh as the latest consumer fad. Historically, teams of data scientists manually built these models over weeks or months. With DataRobot, models can be created in a fraction of the time and updated as conditions change to remain relevant.
Scaling for Growth
50 years ago, people shopped local and the shopkeeper knew every individual, but modern businesses have thousands or even millions of customers. No single human, or even a team, can keep track of that many people. With DataRobot, marketers can process the huge amount of data that accompanies an ever-expanding consumer base faster than a team of data scientists could ever hope to.
It’s not enough to know that your model selected a customer to include in your next marketing campaign. You need to know precisely why. Once you understand the reasons, you can align the message with each individual and optimize the effectiveness of your marketing campaign. DataRobot doesn’t just build accurate models – it explains how they work.
DataRobot Helps Marketers With:
Businesses spend billions of dollars a year on advertising, but is that money well-spent? With DataRobot, marketers attribute sales to advertising activities, optimizing ad spend to bring in more leads for less.
Identifying and engaging high-quality leads is critical to success, but most businesses use guesswork for prospecting. Using DataRobot to predict what content resonates with each prospect improves close rates using data that businesses already have.
It costs less to sell more to an existing customer than to bring in a new customer. DataRobot lets you individually optimize which messages you use to connect with customers and which products you suggest, driving greater sales.
More and more businesses are using loyalty rewards to engage with customers. Using DataRobot to predict which offers and program elements will increase loyalty program usage results in higher customer engagement.
Satisfied customers recommend your company to their network, while dissatisfied customers leave. Predicting net promoter scores and customer churn is easy with DataRobot: it provides actionable insights on the key drivers of customer satisfaction.
In an environment that is more competitive than ever, businesses need to measure their competitive positioning. With DataRobot, analyzing competitor prices and offerings allows you to price your products for success with your customer base.
What our Customers in Marketing Say:
"I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge."Oliver Rees
GM of Torque Data, Virgin Australia
"Data-driven marketing communications result in subscribers receiving fewer, better-targeted emails which strengthen relationships between DR Koncerthuset and its subscribers."Kim Gregersen
Solutions Architect, One Marketing
"At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource."Akshay Tandon
VP of Strategy and Analytics, LendingTree