Uncovering Aha! | Data-Savvy Brand Strategy

Inspired by Maslow’s Hierarchy of Needs, we’re taking our own marketing-specific angle to his pyramid. In this third episode, we detail Level 5: Prediction – how you can leverage the insights established within the previous layers to predict your marketing activity.

Inspired by Maslow’s Hierarchy of Needs, we’re taking our own marketing-specific angle to his pyramid. In this second episode, we detail Level 3: Internal factors, and Level 4: External factors – and how you can establish and define both within your existing business plans.

Inspired by Maslow’s Hierarchy of Needs, we’re taking our own marketing-specific angle to his pyramid. In this first episode, we detail Level 1: Delivery of activity, and Level 2: Efficiency and optimization – and how you can establish and define both within your existing business plans.

Done right, business analytics can allow a marketing team or a golfer to understand the problems that are worth solving. In this episode, we talk about how a research model that predicts professional golfers'  future performance can inform your own approach to marketing and help identify what really matters to maximize your ROI.

When running a marketing automation program, most systems provide adequate campaign reporting analytics. But often, these systems make it tough to discover insights that go much deeper than basic performance metrics. In this episode, we talk about what it takes to pull your data out of systems like Marketo and uncover new insights by overlaying additional data sources.

Callahan's senior business analyst used his spare time once again to construct an algorithm - this time to determine which movies have the highest chance of winning "Best Picture" at the 2019 Oscars.  In this episode, we explain the correlation between his Oscars model and how this same predictive modeling approach can uncover aha when applied to business and marketing challenges.

Recurring analytics and data reporting can help a company track overall performance of product sales over time. In this episode, we look at how to inform traditional data reports with predictive analytics, which can predict the future for a business – but they may not tell you want you want to hear.

A CMO is under pressure to make informed decisions that affect a company's short- and long-term goals and initiatives. Oftentimes, data and analytics are a great resource for a CMO - but not always. In this episode, we discuss how a CMO can use predictive analytics as a powerful tool alongside more traditional data and analytics reporting.

Callahan’s senior business analyst built his own statistical model to investigate the college football ranking system. In this episode, he explains his method, and how it could be applied to a business’ own marketing and analytics efforts.

In a previous episode, we explained the Callahan Intelligence Platform tech stack. Since then, we've made some changes both big and small. In this podcast, we talk about those updates and the benefits of implementing innovative new technology.