conDati Blog

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

The Opportunity in Revenue-Based Martech Reporting

Marketing teams today face a turning point in their profession that is both a challenge and an opportunity. More data than they can understand and the new requirement to produce accurate revenue forecasts from that data. At conDati, we like to focus on the opportunity:

Why Data is Essential to Revenue Forecasting

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.

How AI Should Enhance Your Martech Stack

Recently, news stories have begun to circulate asking the question that is apparently on the minds of marketing professionals everywhere: “Will AI replace marketing teams?”

The 2018 Martech “5000”: A Wish Granted?

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

Marketing 2018: When Data Meets Science

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.

The Magnificent Seven of Digital Marketing Metrics: riding into new territory with big data science and machine learning

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.

The gift of real-time insights for your digital marketing campaigns

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

5 Steps to Getting in the Weeds of your Customer Data

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 ecommerce 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

Modern marketers will make smarter bets in 2018

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