Wednesday, May 24, 2017

Marketing Automation

With marketing automation systems, you can send email communication, and view data on the performance of emails after they have been sent. You can look at open rates of emails, as well as click through rates and bounce rates. Additionally, you can download a full list of people who have opened an email, clicked through, bounced, or were suppressed from the email with the date and time of the actions as well. This data can be very beneficial to a sales team. If a prospect is engaged with an email, it would be important to follow up with them as they would be considered a more qualified lead than prospects who are not engaging with content.

Additionally, you can create trigger campaigns with marketing automation systems, which is a series of automated email communication based on engagement with messaging, landing pages, and form submissions. In marketing automation systems, you can create behavior scoring for your prospects as well. You can provide scoring for actions taken in many areas, including: opened an email, clicked through an email, filled out a form, visited a specified number of landing pages on your website. For instance, you can provide a scoring of 1 if someone opened an email, and a scoring of 10 if someone submitted a form. You can use this data to send communication to prospects with a minimum behavior score, and create a campaign specifically for highly engaged prospects.


If you have not invested in a marketing automation system, I highly suggest that you do! Hubspot and Act-On are two great options to look at.  

Tuesday, May 23, 2017

Data Monetization

What is Data monetization exactly? Well, it can be described as a way in which you can earn revenue through the use of data. Furthermore, data monetization can be direct money, meaning when you sell your data; it can also be indirect, using data in an effort to increase business or improve products or services that will in turn, improve your financial state.

Data is monetized in many different ways. Customer purchase history is collected through loyalty programs like CVS ExtraCare, through ecommerce websites that you have created an account with, such as Amazon, and so much more. With Google Analytics, you can see which landing pages’ people are clicking on, which products have received the most clicks, and the entire purchase journey, from the first time landing on the website, to looking at multiple products, to adding products your cart, and then the final completed checkout. Ever go on a website looking for a dress, and later leave that website without purchasing, and continue seeing that same dress on ads on the side of your Facebook page, or google search? I bet you have! Well, this is because you have been retargeted. It almost seems creepy, huh? It does, but it works. I have been retargeted before, and eventually after seeing the ad so many times, I have bought the product I searched for. However, after furthering my career and my education in digital marketing, I would say that I would ignore these ads more than the normal consumer, because I am aware of how these ads work.

Now, let’s discuss data monetization in banking. Banks have a wealth of data on their customers, it’s unbelievable what they can use it for. Banks have information on their customers’ contact information, including name phone, email, and where they reside. Additionally, banks have their customers’ financial statements. Now, this data is powerful. You can create targeted emails campaigns and social media campaigns based on their location or their financial status. For instance, someone who is in a 3-year car lease with your bank, and their lease is soon coming to termination, you could create a targeted ad towards that customer to start thinking about using your bank again to finance their next leased vehicle.

It’s really amazing how much data is out there, and the effect this data can have on your business, if you put it to use. Unfortunately, there are many companies who will analyze data and report on it, but will not make actionable decisions based on their data. Many companies only use data to understand past performance, when they could also be looking at data to forecast future results, and make changes to improve their business.


So, my suggestion is that you start by creating KPIs (key performance indicators) for each department in your company. These KPIs will be the main data that you want to analyze and understand how you are performing. Once your team has aligned on KPIs, set up monthly meetings to discuss your KPIs so that you are frequently discussing the data and putting forth actionable insights. Use your data to create targeted campaigns, so that you are sending the most effective messages to your consumers. Use your data to decide whether you should stop selling a certain product, or if you need to make improvement on the product. Whatever you do, just don’t let your data go to waste. Analyze it. Report on it. And, create recommendation established from your results.

Monday, May 22, 2017

Flights - Using Data to Set Pricing


Ever try to plan a trip, and you browse flight prices a couple days in a row, and notice dramatic increases in price? This is because the website that you are on can track your IP address and set pricing rules for each time you visit the website. Additionally, travel companies can set rules for the device that you are on when looking at flights. There are actually many companies that charge a higher price to people using a Mac versus a PC. This is because Macs tend to cost a lot more money than a PC, and these travel companies presume that Mac owners will be more fortunate than a PC owner, and have a greater disposable income, willing to pay a higher price for a flight. This is an outrageous way of thinking! I have a Mac myself, and I am in no means rich. In fact, I am drowning in student loan debt, and I am in school pursuing my Master’s taking on more student loan debt! However, I saved for a while to purchase a Mac because I knew it was a reliable laptop that is great for graphic design use, and the career path I have taken. Many people have Macs because they save, and make the large purchase because they are confident it is going to be a great long term investment – Mac’s have a longer life expectancy than a PC! So, I wonder, should airline companies really be setting price rules by device? My answer would be no, but maybe that’s because I’m the one receiving higher prices for my Mac!