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P.S. Amy, this is my first class post, NOT my Super Bowl post.

P.S. Amy, this is NOT my Super Bowl post, even though it does (sort of) connect to the Super Bowl!

Kat, great minds think alike! I’m confident that Domino’s will navigate their most recent drop in sales and come out on top this year. They seem to have the agility needed to succeed in the growing age of digital, and I think this campaign is evidence of that! I am very excited to see the results of the Points for Pies program, and whether its biggest gains were consumer engagement, or customer insight into menu options.

Matt,

Domino’s may not be authentic Italian pizza, but in my opinion it is real because it is REALLY good! LOL. I will have to look into This Person Does Not Exist…that sounds very interesting, and makes me curious about the imminent future of AI and what roles it will take on.

Emily

haha, I really enjoy it as well. I just know there are some that don’t agree. Also I think that they know their customers and they make it so easy to order.

Nice connection of data & the cloud, Matt! You ask some good questions. I think data will remain a core process for sure – and the cloud enables companies of any size to become users and storers of data – the scalability and security promises of the cloud make storing vast amounts of data much more attainable by organizations. I think you pose a great question about the shareability – think about companies like Netflix where data is the magic ingredient for them – sharing that would open the door to their competition easily.

Hi Amy, the cloud seems to be where a lot of things are moving towards. I suppose, as always, security is a concern, but that’s true of data stored anywhere.

Also I think that Payless could be saved if they rebrand themselves. I think as you mentioned the brand itself is now synonymous with “cheap” I wonder if they rebrand everything— from the name much like Sleepy’s became Mattress Firm —and really understand who is their audience and what that consumer segment wants from the brand and they build a strong in store and online experience around the new positioning that they would have a fighting chance.

Really insightful post with great tips! Data collection may become the easiest step in all of this – knowing what to do with it is where the magic happens, right? I have seen organizations make big decisions based on bad data – and then rather than dig into the data to see what the problem may have been, they blame the system or the data!

Jeremy — Oh how this has been my experience as an email marketer…let’s collect it all and figure out what to send to people later!! It was certainly easy to collect the data, but it became a data hairball when you went to write queries to figure out who to send an email to. I worked for a organization that wanted to send emails to HR, which is very broad, so I had to pull the raw data and look at job titles-lots of job titles-to determine who exactly was HR. Many times it came down to someones opinion of who HR really was versus what the data told me who HR was. I do sometimes miss writing queries—just kidding!!

Jeremy, my ePortfolio post was an interview with a friend of mine and we discussed this topic. He drove home the point that it is very important to make sure that you are collecting the right data from the start, and how important it is to take a look at your creative along the process. If your creative is bad, then all the data you collect will be bad along with it. On top of that, he stressed the importance of looking at historical numbers when setting up any KPIs of your own company or when working with another company.

Here is my post about the interview: http://digitalmarketing.temple.edu/cfeiring/2019/02/11/avoiding-data-pitfalls-to-help-strengthen-your-brand/

I had to trim down the interview a bit for the ePortfoilio. It was an excellent conversation, and if you are interested, I can send you the entire transcription.

Jeremy, I think it is a great point you bring up in reference to how do we structure these different types of data into something usable. A major challenge for businesses, in my belief, will be not only figuring out how to use meaningful applications today, but also in the future. Voice has the potential to be something transformative. I wonder how Amazon and Google use this data currently, how do they tie it in with other data. To answer your question on best approach to collecting data; I think it should not be a capture everything and figure it out later. I think a nuanced approach geared towards what is meaningful to your business.