In our recent blog post, "Is Marketing Ready for Artificial Intelligence?", we mentioned going deeper into today’s applications of data science for marketing. These AI-fueled applications not only give you a competitive advantage, they help you get a head start on your 2020 business goals. Let’s dive into the data science application of forecasting.
Read More »C-suite support for data initiatives is changing. Those at the helm are seeing the advantages of shifting from a reliance on data as a tactical tool to a strategically leverageable source of rich insights. There is a new willingness to invest in the people, process, and tools related to accurately capturing marketing data and making business decisions based on it. As evidence of this, database health KPIs are now showing up on more CMO scorecards. There are also new skillsets joining the
Read More »As marketing leaders, you’re learning that today’s deluge of audience, campaign, and content data doesn’t have to be a barrier to producing predictable results and effective data-driven marketing strategies—strategies that meet or exceed business goals.
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On June 1st 2017, Marielena Gardner, Dan Bartow, Connie Quach, and Ken Gardner founded conDati on the promising idea of using data-science to create completely new analytics capabilities for Marketing.
CEO and co-founder Ken Gardner welcomed everyone with a look at how
Read More »conDati, Inc., a provider of next-generation analytics for digital marketing, announced on Tuesday the completion of its Series A financing, bringing the total round to $4.75 million.
The conclusion of the round is the latest in a series of recent highlights for conDati, including receiving an award for applying machine learning to marketing ROI and bringing multiple customers into pre-launch
Read More »Q: What do all marketing executives need?A: Data-backed proof of the financial success of their campaigns
Q: When do they need it?A: Twenty years ago.
Read More »Remember The Magnificent Seven? The characters, the actors, the storyline? The classic 1960 western starred some of the most popular actors of the day. And as with every reboot, in 2016 a younger and hipper cast with a whole new look pulled in a new audience with the same story, updated for modern times.
Read More »Hoping to Leapfrog the Competition by Connecting Siloed Data and Implementing Machine Learning and Predictive Analytics
The typical large enterprise uses 90 or more marketing and analytics tools, while SMBs and Mid-Market companies employ between 10 and 25 martech tools to manage marketing operations and drive revenue. That’s a lot of systems for any company to manage. The results are dreaded data silos, which at best provide partial insights, and in the worst case overlook critical
Read More »Meet Josh Papermaster, University of Texas, Austin. Josh sat down with us to talk about his experiences interning for conDati. He discusses what he learned and his favorite memories.
Read More »In 2011, the inaugural MarTech Stack Landscape identified about 150 companies servicing marketers. Even then, one would have expected all those vendors to consolidate as the industry grew and matured. Instead, the martech landscape has fractured into 50 or more categories, populated by more than 5,000 vendors, fully half of which are brand-new venture-backed start-ups. Every marketer now needs to evaluate hundreds of tools, representing every new approach to customer acquisition, to find
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