Create trends and identify usage patterns
Compare past and present usage data to identify changes in user behavior. Look at relative changes, rather than absolute values.
This helps you understand the evolution of product usage over time, which could be integral in spotting potential issues or opportunities for increased engagement.
Build benchmarks and normalize your data
Looking to compare segments and accounts over time? Benchmarks are a simple mechanism for normalizing data in order to achieve this.
Basically, these allow you to create a standardized reference point that facilitates a fair comparison, allowing for more accurate insights. For example, you can compare logins between large and small accounts.
Before Custify, I would lose an entire day sending the same email over and over again, checking metrics, and scheduling meetings. Now, my inbox is empty at the end of the day because Custify does everything for me.
Before Custify we used spreadsheets to handle any client management workflows and we were spending far too much time doing manual tasks that could have been automated. Since using Custify, our team can handle 3X more clients with more care and attention to each of them, through the removal of all of the tasks and communication lines that they needed.
One of the things that we liked too, was that the product was young. Some of the other platforms that we saw were clunky. They had every feature under the sun that we were asking for. But it also meant that there was no flexibility in how things would be able to get built out or in any of our requests
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Let Custify guide your customer success journey with clear, actionable reports and insights.
Gain insights into customer engagement by calculating the average number of live chats over the past 30 days.
Keep track of user engagement by analyzing daily or monthly login data and setting benchmarks.
Understand user interest by assessing download frequencies of various report types over 30 days.
Identify the highest and lowest changes in health scores over a week to pinpoint accounts needing attention.
Discover your most expensive customers to manage by dividing the recurring revenue by the number of interactions.
Compare current customer feedback volume with the previous period to analyze changes over a specific time period.
Contrast weekly and monthly average health scores to identify emerging trends or issues.
Detect drops in product engagement by comparing activity counts over the last 30 days against the prior month.
Detect early signs of disengagement by combining data from login patterns, support ticket trends, and feature usage.