Alexa Is Not for Advertising
FBinsightsR - get Facebook Marketing Insights into R, easily
Brand marketers have jumped at the chance to do something with the Alexa Skills platform, but have struggled mightily. To this point, they are almost all failures: Sloppy user experience, poor branding, and limited usefulness abound.
Why have so many brands failed? One simple fact: they approaching Alexa with too much advertising baggage.
How to Automate Facebook Canvas Creation with R Studio
If you run marketing campaigns on Facebook, you might be frustrated by their limited built in reporting — or reliant on massive Excel spreadsheets to do your campaign analysis.
We decided to build a package for our favorite data science tool — R Studio — that pulls Facebook campaign insights directly from their marketing API.
How Google Affiliate Location Extensions Are Failing Small Manufacturers
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...
Creative Lessons from Data Science Demigod Hadley Wickham
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.
How to AI-Wash Your Company in 3 Easy Steps
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 Top 25 Coolest Data Science Terms
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.
Machine Learning. Neural Networks. Hierarchical Clustering.
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.
Machine Empathy: How Machine Learning Can Bring Real Insight to UX Design
Sherlock Holmes, Donald Trump, and the Data Science Paradox
Yes, “deducive” is a real word. And it’s the name we chose for our company. We chose it for its rational correlation to logic and the scientific method, as well as its emotional connection to a great fictional sleuth. But, in data science terminology, it may have been a bad choice.
Adapt or Die: How AI Will Redefine Creativity in Marketing
Combining Empathy and Data Mining for Better UX
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.