Showing posts with label Predictive Analytics. Show all posts
Showing posts with label Predictive Analytics. Show all posts

Monday, May 22, 2017

Can Facebook Provide Predictive Analytics?

As many of you know, my tagline when asked what I do for a living is something along the lines of “play on Facebook all day.” Fortunately for me (and my employer) my job is much more involved than “playing on Facebook.” As my final semester in Grad School winds down, there has been a large focus in analytics and how they are used to make informed decisions, or in this case using predictive analytics.

Looking at the Financial Industry (FI), it’s no surprise that predictive analytics are being used. What may surprise you however are the way FI’s, no matter the size, can gain insights. In the article Predictive Analytics: The Future of Financial Marketing by The Financial Brand, eight “data sources” are laid out as means of gaining information to draw insights.

As data becomes increasingly more available and the need for predictive analytics becomes more important, we as digital marketers must search for the latest ways to gauge our customers. Believe it or not, Facebook or social media in general may help to achieve the data needed for these “new age” data sources below.

Data sources listed in the article include:
  • Channel preferences
  • Social media insight
  • Mobile data
  • Consumer ratings and reviews
  • Bill payment behavior
  • Personal Financial Management
  • Geolocation
  • Weather and other external elements

While this list may not be impressive to some, you’ll note that almost all of these data sources can be gauged through Facebook, or other social media channels. While Facebook and social media is often noted as something for millennials, it is becoming more and more intrinsic in all digital marketing efforts.


Next time you deem Facebook as a simple social media platform, you may want to take a second look – it may be telling you exactly what you want to know about your customers. 

Friday, May 19, 2017

Prediction: Predictive Analytics are Important

As Financial Institutions (FI’s) become more aware of the mass amount of metrics they have access to, the need to be able to analyze this data increases. Just as big data hits the limelight, “first-movers” have already moved on to bigger and better analytics, found in predictive analytics.

If you’re looking for a way to continue to push forward in terms of data, metrics and analytics – predictive analytics is for you. According to Predictive Analytics: The Future of Financial Marketing by The Financial Brand, here are four marketing trends marketers must take into account:
  • A need to generate customer relationship revenue
  • Evolving consumer behavior and expectations
  • A continued focus on improved operational efficiency
  • The need for competitive differentiation through digital engagement


While this may seem like elementary points in advancing in analytics, they are crucial in gaining “good” insights, which demonstrate a proper representation of your customer base or target audience. 

Thursday, May 18, 2017

Predictive Analytics: Creepy or Helpful

There are a few “schools of thought” when it comes to predictive analytics. From the digital marketing perspective/data scientist perspective it’s an amazing tool to gain customer perspective. On the other hand, many consumers view predictive analytics as “creepy” or infringing on their privacy.

Today, many digital marketers and data scientists use predictive analytics to better “predict trends, understand customers, improve business performance, drive strategic decision-making, and predict behavior” according to Forbes.

So, what does this really mean? Is this an invasion of privacy, does it improve the consumer experience, or is it used to just drive sales?


The meaning is up to perspective. Many consumers credit great experiences to above average deals and friendly salespeople. While predictive analytics can’t entirely help your in-store experience, it can predict the type of sales you want/look forward to. Is this really a negative?