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.
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
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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
Read More »Marketing professionals today are inundated from all sides with hype about the future of big data, AI, and machine learning.
Whether the takeaway is better reporting, concern for job security, or mathemagical seeming insights, everything boils down to big data and the mysterious “black box” of AI and machine learning.
Read More »The necessity for CMOs to produce accurate revenue forecasting cannot be overstated. And yet, for most mid-sized companies, this level of reporting remains elusive.
In a recent report on the state of marketing automation, Chirta Ayer, Editor in Chief of Martech Advisor addressed this elephant in the room for CMOs: revenue forecasting as a requirement when many marketing automation tools often don’t have dashboards with dollar signs in their reporting.
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
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The only plausible explanation for the 2018 Martech “5000” is that Marketers have got some serious karma going on.
Okay, maybe not serious karma — used in a colloquial sense, though, this annual Martech graphic reads like the answer to the marketing industry’s pre-digital era prayers.
Do any marketers remember the “good old days” when you pined for more data?
Any of you recall, perhaps, *wishing* you had more data? More applications to help you with data? More platforms to reach your
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 »conDati Comes Out of Stealth. Last week we parted the curtains on what we’ve been working on at a company-reveal event in Menlo Park. We thank the friends, partners, and investors who joined us for the first public demo of our flagship product, conDati Analytics, and the unveiling of our new website. And thanks also to our lighthouse customers for their enthusiastic participation: Discount Dance Supply, Pepperdine University, Brivo, Collexion, Mindtouch, Snowflake (also our database
Read More »You never know, you might just find your Holy Grail. New ways of understanding the customer are emerging, and companies should embrace a data-first strategy. The amount of available data grows with every click, tap or touch, through every swipe, search, or share. In industries from e-commerce to media to B2B software, companies first need to wrangle the entire data set before they can try to make sense of it all, in order to report on their conclusions. But just to wrangle the data can take
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