How Data Science Can Make 2020 Planning So Much Easier for Digital Marketing Leaders

As marketing leaders, we know the drill when it comes to planning. The first step is to always understand the business goals and objectives for our organization’s upcoming year, quarter or season—depending on the type of business you lead. From there, we typically look at historical performance so we can forecast results and revenue. We do this to set marketing targets and drive budget conversations. And finally—with our data in hand—we sit with executives who ask us lots of questions to get

All Female CMOs. All Great Advice.

In this third blog in the series, Through the Data Lens: CMOs Get Real, our outstanding panel of industry thought leaders shared high-level insights and energizing ideas for marketing leaders to pocket as we venture forth—especially valuable as we round out our 2020 planning.

A Winning Marketing Scorecard Starts and Ends with Better Data

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

Is Marketing Ready for Artificial Intelligence?

The Rise of Data Science as a Service

After a few AI winters, we may have finally entered the golden age for Machine Learning (ML) and Artificial Intelligence (AI). The environment for the expansion of ML for marketing has never been better, with exponential growth in data volume now meeting sophisticated algorithms and AI procedures to solve all kinds of business challenges. Couple this capability with the incredible efficiency of cloud storage and compute services, and the world is well

How Data Science Has Changed the Game Forever

In this second blog in the series, Through the Data Lens: CMOs Get Real, our esteemed panel of powerhouse CMOs share fresh insights about how marketing data, powered by artificial intelligence (AI) and machine learning (ML), has changed the game forever and plays a key role in driving business growth. I had the privilege of hosting and moderating this group of all-women business-builders recently. Each has earned the right to speak to this topic: they are collectively responsible for driving

Consumer Engagement Platform – Update

A few months back we wrote about the Consumer Engagement Platform, and how to make some sense of the broad options in marketing technology as marketers are building out and innovating their tech stacks to meet the growing demands of today’s digitally complex consumer.

Why the Data Surge Is Elevating Our Role

A few weeks ago, I had the honor of moderating an amazing panel of CMOs for a conDati hosted, sold out event called Data Night Seattle. The topic for the evening is always a hot one: Turning Marketing Data into Business Growth. It just so happened that all the CMO panelists were women (unplanned) and all powerhouse business-builders, responsible for driving a combined growth of nearly $30B. It’s not surprising then, that our discussion was packed with lively, fresh and valuable insights

What’s New: Summer ‘19

At conDati, we’re committed to innovation. That means our data scientists and data engineers continue to build capabilities that improve digital marketing performance. We actively listen and co-innovate with our clients and partners to make platform improvements that help you gain confidence in your marketing data, boost your productivity by 50 to 80 percent, and increase lower funnel conversions by 3 to 5x. We like knowing that we help you confidently walk into quarterly business review

Accelerate Your Digital Marketing Maturity Through Trusted, Accurate, Holistic Reporting

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.