Making the Build vs. Analytics-as-a-Service Decision for Marketing Analytics

Without the ability to unify disparate marketing data - stitch it together and organize it in a meaningful way - then visualize it to easily distill insights to drive business decisions - data is just data. While this is a common problem that marketing leaders list as a priority to overcome, many companies are still painfully and frustratingly pulling together data manually for reporting and analysis. In fact, in a 2018 Gartner survey they found marketing analytics teams spend more time

Love Your Data ... and it Will Love You Back

As a marketer there are a lot of questions we need to be able to answer to make the best campaign and spend decisions. The top ones I’m asking myself these days are:

6 Stand-Out Marketing Chiefs

I love what I do. I especially love it when fellow marketing leaders take the time to share their business wisdoms, energy, passions, and personal learnings—because it lights a fire in me. For all the marketing leaders out there who also love what they do, relish a good challenge, and who appreciate the bond we all share as we venture into a new decade—enjoy some favorite 2019 takeaways from my time with these 6 incredible chief marketers. By the way, this was not an easy task given my

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

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.

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:

How Better Reporting Helps Ecommerce Companies Grow

We have already talked about the complicated process most ecommerce companies go through when tracking their marketing data.

There’s the time spent extracting data from various sources, copy-pasting it into spreadsheets and, of course, trying to make sense of it all. It’s a very expensive, very complicated nightmare that most companies have to go through at least once a month. We can all agree that automated reporting saves you time - but how exactly does it lead to better performance?

How AI-driven Analytics Can Improve your Marketing Campaign ROI

I was recently invited to speak and present at the New York Marketing Association(NYMA) about how AI-driven analytics can help marketers improve their campaigns (and revenue), showcasing real possibilities and relevant use cases to the nearly hundred attendees.  In other words, I explained in real terms how AI can work for them, now — without being a data scientist or “mathmagician”.

How to Choose the Best Model for Marketing Prediction

First in a series on how and why conDati choses the prediction models we use to improve your marketing performance.

Marketers have had to rely on instinct and experiential knowledge alone to produce winning, hopefully profitable campaigns. In addition, months would go by without any solid information and when they did get numbers, accuracy was always a problem.