Control Blog

Helping Grow Your Business

Web Dashboard Redesign and iTunes Connect Analytics

We are excited to announce that our Web App has a whole new look. But that’s not all… we also now support iTunes Connect. That’s right, if you have an iOS app with subscription in-app purchases, you can now get, for the first time, key metrics such as Monthly...

Customer Retention: A Closer Look at New vs Repeat Customers

New Customers vs Repeat Customers Which is more valuable — a new customer or a repeat customer? Should McDonald’s advertise to people who love Big Macs, or to people who prefer Whoppers from Burger King? There are strong arguments to be made for either choice....

Why You Should Track Customer Churn and Revenue Churn

There’s no doubt that a subscription-based business needs to keep a close eye on its churn rate. But is it necessary to track both Customer Churn and Revenue Churn? And if your business decides to only track one churn metric, should it concern itself with Customer...

Control Update: Support for Stripe Radar

We’re excited to announce the latest Control update! We’ve added support for Stripe Radar to give you more visibility on charges that are blocked or flagged for review by Stripe’s fraud prevention solution: Customize alerts for charges flagged or blocked by Radar...

Customer Service Mistakes SaaS Companies Must Avoid

This article is a guest post by Harsh Vardhan, Content Marketer at Hiver.  The revenue model of SaaS companies is dependent on repeat customers, making exceptional customer service experience a big differentiator. In fact, SaaS companies which have successfully made...

How Big Data Can Elevate the Customer Experience

Big Data is Watching You Have you ever seen a Facebook ad that is tailored so specifically to your interests that you look over your shoulder to check if someone is watching? The first time it happens, it’s a bit unsettling. By the third or fourth time, you’re just...

When it Comes to Big Data, Trust is a Two-Way Street

When Donald Trump was elected President, one of the first questions people had was: how could the polls be so wrong? Every major poll had predicted Hillary Clinton, some by a very large margin. How could companies with so much data miss the mark completely? Maybe the...
Join the thousands using Control.
Sign up today and get access to all of our features free for 14 days.
×