9 Requirements for Effective Cross-Selling in Financial Services

As a part of their Future of Financial Services series, the World Economic Forum recently released a comprehensive and far-reaching report on the “New Physics of Financial Services” and the impact that digital transformation and the rise of Artificial Intelligence is having on the financial services ecosystem. There is no doubt that these trends will […]

Marketing Analytics Family Tree

Marketing analytics is a broad, “meta” field, combining elements of marketing strategy, data science, database management, digital technology, primary research, and psychology, to name a few. To help explain what it is, we’ve created this taxonomy of marketing analytics—a “family tree”—that breaks the field down from high-level to more detailed. The taxonomy has four levels […]

What About Small Data? Part 2

Getting Back to Growth by Playing Small Ball The ADBUDG curve is a 40-year old handy heuristic for modeling marketing spend vs. return. It was first used for broad-reach advertising. The concept is pretty simple: The curve starts out flat, as dollars are invested to get breakthrough with a group of consumers Then, the curve […]

10 Step Checklist for Creating Actionable Segmentations and Personas

For all of the talk around one-to-one marketing, human beings still need frameworks to understand their world, and marketers are no exception. The word “segmentation” might be ubiquitous among marketers, but it’s difficult to find two people who can agree on what segmentation really means and how they become actionable segmentations. That being said, sales […]

How to Build a Product-Centric Data Science Organization

Realistically, most data science is heads-down, unpredictable activity. Typically, a data scientist is given an objective, such as “tell me the part-worth of TV in my advertising mix”, or “come up with a classifier to put a lead into the correct segment,” and has to figure out how to solve the problem with a vast […]

What About Small Data? Part 1

Big data remains all the rage. After exploding onto the scene in roughly 2012, with the popularization of the Hadoop framework, the big data lens still dominates the “LinkedIn press.” This myopia is certainly not without its merits; machine-generated data contain vast amounts of signals just waiting to be extracted and put to use. Indeed, […]

Coming Full Circle: Bringing Art Back to Marketing Science

Yesterday was my first day (back) on the job at MarketBridge leading marketing analytics. I’ve been gone for nine years, and it is truly great to be back at this special organization. This return to my roots, with person after person telling me “welcome home,” brought on a wave of nostalgia, and caused me to […]

Why MarketBridge Hired a Chief Analytics Officer

Ok, forget the lofty title. The last thing most companies need is another new C-level position. Nevertheless, every company from a Fortune 500 titan to a 20-person law firm needs the equivalent of CAO. Why? And what is the role of a Chief Analytics Officer? Here is the unspoken fact: the data analytics “knowledge gap” […]

5 CEO Principles for Developing an Applied Analytics Strategy

Image: Hunter Haley As both topics of AI and Facebook data usage gain greater attention from the media, customers, investors, and regulators, it’s time for CEOs to get deeply engaged in an Applied Analytics Strategy. So what is an Applied Analytics Strategy? Applied analytics is about the strategic use of data for decisions within a […]

AI Will Eat Millions of B2B Sales & Marketing Spend

Get ready for the disruptive change coming to Sales & Marketing budgets… Most B2B revenue funnels are built under the assumption that 99% of sales and marketing efforts are wasted on leads that never close (Forrester). Many companies have built expensive “demand waterfall” management software systems, processes, and large staffs, that cycle through 199 dead-end […]