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.
Read MoreIf 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.
Read MoreR 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...
Read MoreGoogle 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.
Read MoreWe 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.
Read MoreThe 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.
Read MoreMachine 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.
Read MoreCombining 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.
Read MoreUnless 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.
Read MoreMarketing 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.
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