Online subscription payment services like Stripe and Braintree make online payments easy, and produce a lot of data in the process. They contain key metrics about your revenue and customer segments that can lead to important insights about your business. In this post I’ll outline how to set up the charts and analytics to keep track of these metrics in DataHero and keep them up to date in one place. Monthly recurring revenue and cohort analysis are also popular metrics to track, and have been covered in previous posts if you’d like to read up on them.
Olympic viewers in the United States, along with much of the rest of the world, focus their attention on the Sochi Olympics this year. Some wins have been in line with predictions; the Dutch collected speed skating medals like they were going out of style, a favorite sport for them. Other outcomes were more surprising, the Russians were just knocked out of the ice hockey quarter-finals in their home country, for example. What trends can we find relating to sports, how long they’ve been Olympic games, and favored countries for each sport? We used data looking at medal counts by country, year and discipline to see what we could find.
Perhaps you subscribe to the idea that Valentine’s Day is a commercial holiday invented by greeting card and flower companies as a creative way to make more money. Or perhaps you choose to see the day as a great way to express love for the important person(s) in your life. Regardless of your views on Valentine’s Day, gift giving is a huge part of this holiday, and by combining data from the US Census and other data sources, we start to get a clearer picture of how Americans spend money on Valentine’s Day.
As a sales manager, you focus on KPIs to keep your team on track, but it’s important to focus not only on “lagging” KPIs, but also on “leading” KPIs. These are KPIs like calls per week, or rate of follow up contact. Leading KPIs are the driving factors that will contribute to your pipeline in the future. Monitoring those now gives you time to correct any issues in your pipeline before opportunities are already developed. (If you want to learn more about the differences between leading and lagging KPIs, check out this post from Salesforce).
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