R isn’t just a tool for statistical analysis any more. It’s also a powerful platform for creating programmatic advertising campaigns.
We decided to dive deep into Facebook's marketing API to automate the creation of Canvas ads, using R Studio as the backend for creation and analytics. Here's what we learned...
Google Affiliate Location Extensions have huge potential to drive offline sales. They make it possible for a manufacturer to advertise directly to active shoppers near a retail location that carries their product.
But if your product isn’t available at a national chain like Target or Costco, you are out of luck. We have a solution.
We came to learn from a master. Instead we learned that Hadley is just like us. He makes mistakes. A lot of them. And it made all of us laugh. Not because Hadley was the fool, but rather because we all saw him fight through the same typos, errors, conflicts, and sometimes inexplicable bugs that we all face, every day.
The wait is over, Artificial Intelligence is here. If your company isn’t doing it, start looking for a new job. Obsolescence, decline, and/or bankruptcy are around the corner.
The evidence is everywhere. Take for example drinks giant Coca-Cola, which used the mighty power of Artificial Intelligence to come up with a new flavor, Cherry Sprite, based on the mixes we puny humans selected from their make-your-own “Freestyle” machines.
Does anyone know what these terms really mean? Sure, a handful of nerds know. Like the roughly 50,000 ranked Kaggle members.
But these esoteric terms only scratch the surface of what the world’s data scientists have come up with to describe, promote, and ultimately obfuscate their day to day jobs.
Empathy has rightfully become predicate to good user experience (UX) design. But the means designers use to achieve empathy — such as Personas — fall short of their intended purpose.
Unless you’ve been living under a covfefe, you’ve probably heard that we’re living in the Age of Artificial Intelligence. Most creatives and marketers file AI in the hype bucket with good reason. It’s hard to imagine artificial intelligence equating to creative intelligence. But AI is coming for us all, and those that are unprepared to seize new opportunities will become irrelevant.
Marketing momentum builds over time and brings many benefits —but it also leads to bloated process and wasted budget built on old assumptions. Basic data science techniques offer a solution.
Successful SME marketers thoroughly understand what it takes to compete: a strong website, content strategy, CRM, and multichannel engagement plan. But as all the tactics stack up, so does the data. It’s harder and harder to know what works and which steps in the customer journey are most important.
This is not a new problem, but it is one that large enterprises have largely solved by investing in big data strategy and analytics platforms.
Whether you’re a regional bank, a community bank, or a credit union, managing your data infrastructure is a tough job. Margins are tight and running legacy systems requires constant vigilance. Finding the time and resources to exploit advancements in big data technology isn’t easy. And there’s so much noise around big data it’s hard to tell where the marketing jargon ends and reality begins, so getting organizational buy-in can be a big challenge.
But community banks don’t have a choice. It’s a matter of survival. National banks are winning the next generation of customers and big data is a big advantage.