What does the Post COVID-19 Landscape in business look like?

How will the Post COVID-19 pandemic landscape in business be changed? Are we headed to a future like the Jetsons or one like Mad Max? Companies who once feared remote workers are waking up to the benefits of this work/life balance. Others are in panic mode because “we’ve always done it this way” no longer applies.

As a Data Science company, we are always looking ahead. One thing we get asked about is what should business be doing now to prepare for the world in the new normal. At our first in-person lunch meeting Post COVID-19 pandemic, we came to the conclusion the two book-ends are: Jetsons or Mad Max.”

Here are some of our thoughts:

The Post COVID-19 Business Landscape

We believe the major change is how customers now interact with companies. We have, because of the pandemic shown that companies can actually do just fine working from home, can deliver good like groceries, food, and even luxury items without the in-person experience, and that companies can do a better job using technology to deliver what the customer wants, when the customer wants it.

This is pandora’s box. We can’t go back. Because we had to do this to survive, now we have to continue to do it as part of our business model. However, what most companies built in haste, isn’t scalable. It is now time to rethink how we use the data we have (and the data we can get) to build a scalable solution that gives us insight into what customers want, and gives the customers what they desire–better access.

Interestingly enough, when going back through our past project history, we realize we have been building solutions for just this problem for years. Take for example the persona model we built for Omaha Public Power District (OPPD). It is a great example of how to use data for greater impact.

For OPPD, one of the few publically owned utilities in the entire country, our predictive model allowed them to understand which product or service each household had the highest chance to purchase, and then give that insight to their sales and marketing teams. This meant that:

  1. Their customer service agents now had access to which products to recommend when they called in.
  2. Their sales team knew which households were most likely to want each product, and
  3. Their marketing team knew which product to market to each household.

Predictive modeling like this allows companies to “hit” more than “miss”. If your able to be more effective, even by a small margin, you may edge out your competitor. Tell that to Jacob Kiplimo who was on pace to set the world record for a 43:00 15km run. Kiplimo raised his arms to celebrate before crossing the finish line. It was then that Kibiwott Kandie passed him and finished in 42:59 and was the first to break the record instead.

Understanding how to start with data-driven decisions can be tough. Lucky for you, there is a company that can help you get this kind of insight, and teach you how to do it. Contact Us today and we’ll be happy to help ensure you hit the ground running post-COVID.

exactly where the answer lies

Predictive Analytics: Why should you use it?

We get asked quite frequently: Why should my company invest in predictive analytics? Why even bother? What can it do for us?

Great questions. Predictive Analytics, or predictive analysis, used to be a competitive advantage. All through the first part of the 2010s, companies used data science, predictive analytics, and machine learning to take their business intelligence (knowing what is happening inside the company right now) and turning it into what is going to happen in the future so we can plan for it before it happens. We call this moving up the data hierarchy. But somewhere in the middle of 2019, we saw a switch. As CAN took companies through our process to get them data-driven decision making, we realized companies weren’t using it for their competitive advantage anymore, they are using it to stay relevant.

Companies now are required to do more with less. They are required to stay relevant to their customers. They are required to know who their customers are and what they want-all before the customer does. Data intelligence is now so common in our lives, companies have to implement predictive analytics to even stay with (not ahead) of their customers. 

Example: With technology developing so quickly, new ways to implement marketing strategies and more effectively reach consumers are popping up all the time. Predictive analytics is one such technique. Praised for its ability to inform companies of future trends and reveal important information, predictive analytics is growing in popularity, with 87 percent of B2B marketing leaders saying they had already implemented or were planning to implement predictive analytics in the coming 12 months. 

So what is it? What is predictive analytics and how do you use it. 

What Is Predictive Analytics?

 
Before fleshing out its benefits, it’s probably best to first explain what predictive analytics is. Predictive analytics is a process for collecting and analyzing current data using Business Intelligence, Machine Learning, and potentially AI.  

How Can Predictive analytics Benefit Marketing and Sales?

 

  1. More Efficient Customer Acquisition

By providing your sales team with specific data, predictive analytics can allow them to acquire new customers and keep old ones more efficiently and with less cost. What journey do they take to purchase a product? What advertising do they respond to? What is it about your product/service that they enjoy the most? All these questions can be answered by analyzing previous data and drawing conclusions about future activity. This information can then be used to determine which customers to reach out and how best to appeal to them, saving time and money.

  1. Determine Up-sell Opportunities

Predictive analytics also assists in drawing conclusions about other aspects of your customers’ buying behavior. Through analytics, brands can better understand what their customers’ needs are and what exactly they’re looking for. This can then be used to tailor the sales and marketing strategy to specific customers.
For example, if you are a fashion brand and have customers who are in need of shoes, it would be inefficient and wasteful to send them an advertisement for a new shoe promotion. Instead, it would be better to send this to customers in need of footwear to maximize on profit.
 

  1. Optimize Marketing Strategy

Not only can predictive analytics benefit brands by helping to find information on customers, it can also help in regards to the market environment. You can learn what time of the year spending peaks, how much people are spending and what they’re spending their money on. This information can assist in the successful execution of marketing strategies by ensuring you are targeting the right people at the right time.
Or you can figure out where to score the most candy on Halloween as we did back in 2013 when we invented a dashboard to help trick-or-treaters.  See, predictive analytics can be fun too.
 
Predictive analytics is an increasingly popular method for brands to more effectively initiate sales and marketing strategies. By providing detailed information about market trends and buying behavior, brands can cut costs, boost profit and increase overall efficiency.
 

When should you Update Predictive Models?

New clients often have questions about why and how frequently CAN needs to update their predictive models.  Predictive models need to be updated because everyday new data is being created.  For example, your customers are buying more, subscribing or unsubscribing.  The environment is constantly changing.  While predictive models can handle a lot of new new data, overtime environmental changes build up causing predictive models to lose their effectiveness.  After a month, quarter, or a year it is necessary to update predictive models with new data.
As these new patterns emerge its important to periodically take time to investigate your data, update your models, and challenge your assumptions about your business. But how often should you do this?
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Get More Sales from Your Current Customers

Since 2008, we have been helping our customers learn how to get more sales from their current customers.  One of the quickest, easiest, and most profitable ways to start is using the data you already have.  Using data from your accounting and CRM system it is possible to determine which of your current customers can be made more profitable, more loyal, and which are the most likely to buy more from you.  Learn more, Download our Case Study.
Contemporary Analysis specializes in using predictive analytics to forecast consumer behavior.  Using a statistical technique called multinomial logistic regression, we can use patterns in your past data to predict future events. (more…)

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