Overview
Customer profiles serve as the foundation for effective customer engagement, decision-making, and strategic planning across teams at the majority of companies, but especially in SaaS. As a leading SaaS platform, we recognized the urgency of redesigning our customer profiles to fully meet the needs of our users and to seamlessly incorporate innovative product offerings — which were geared toward helping our customers pinpoint and engage the right audience through targeted retention campaigns and loyalty rewards programs. The journey to revamp these profiles was an intensive undertaking that resulted in creating new profiles that not only satisfied the diverse needs of our customer base but also maintained a clean and easily digestible visual interface.
1. Discovering user wants & needs
Conducting market research & speaking to our active user base to determine what users are looking for in their customer profiles, what's missing, and what would change the game.
2. Introducing Healthscoresâ„¢ & Customer Signalsâ„¢
Adding two new features to the profiles that utilized the data gathered through ProfitWell to offer robust insights for users to strengthen their retention efforts
3. Refreshing the visual UI design
Elevating the visual design and aesthetic of the profiles to move the app forward and stand up against competition
Discovering user wants & needs
Users in sales, account management, marketing, and customer support roles are eager to uncover specific insights in customer profiles to drive their respective functions. According to a study by Salesforce, 64% of sales professionals prioritize understanding a customer's purchase history and buying patterns when visiting a customer profile. They also look for potential upsell or cross-sell opportunities, with 58% emphasizing the need for information about customer preferences and past interactions.

Account managers, on the other hand, rely on data from customer profiles to ensure customer satisfaction. The Harvard Business Review reports that 73% of account managers emphasize identifying and addressing customer pain points in their profiles. They seek insights related to service history and feedback to tailor their approach effectively.

Marketers, backed by a survey from HubSpot, are increasingly interested in customer segmentation. 72% of marketers prioritize demographic and behavioral data in customer profiles to create personalized campaigns. They also look for engagement metrics, such as email open rates and click-through rates, to refine their messaging.

For customer support professionals, an Accenture study indicates that 86% of them value the ability to access a customer's interaction history when dealing with inquiries. They require insights into past issues and resolutions to provide efficient and empathetic support.

Overall, these users rely on data-driven insights from customer profiles to make informed decisions that enhance the customer experience, increase revenue, and strengthen client relationships.
2. Introducing Healthscoresâ„¢ & Customer Signalsâ„¢
Along with the redesign of the user experience and visual design of the customer profiles, we were also introducing two new product features that would help our users dramatically improve their customer retention efforts: ProfitWell Healthscoresâ„¢ and ProfitWell Customer Signalsâ„¢. Both of these features help users understand the quality of their customer base (i.e. if they have a solid long term cohort they can rely on for revenue, or if they have a more short term cohort they need to be wary of) and then the recommended actions they should take based on those insights.
Healthscores
Healthscores are emerging as a vital metric for assessing and maintaining the overall well-being of customer relationships. Healthscores provide a quantifiable measure of a customer's engagement, satisfaction, and loyalty. These scores are often derived from a combination of data points, including interaction history, purchase behavior, and feedback. By assigning a healthscore to each customer profile, businesses can quickly identify which customers require attention or intervention. A low healthscore may indicate a dissatisfied customer at risk of churning, while a high healthscore suggests a satisfied and engaged customer likely to continue their relationship with the brand. This proactive approach enables organizations to allocate resources effectively, tailor their engagement strategies, and ultimately foster healthier and more profitable customer relationships. In a data-driven era, healthscores have become a crucial tool for customer-centric businesses aiming to stay ahead in today's competitive landscape.

We had a unique take on healthscores as a company focused on reducing churn, so we introduced our own score called "Likelihood to Churn" which was calculated using a number of metrics we tracked for our users' customers: engagement, account length, mrr, previous cancellations or payment delinquencies, and more.
Customer Signals
We created a set of logic using that customer's rankings on each healthscore to determine what signal, or category, a customer would fall into. For example, if a customer had a high (>1x) Likelihood to Churn, a high engagement (>1x), and a high MRR (>1x) they would be categorized as a risk because this indicates that a highly engaged user that pays the company a high monthly rate is at risk of churning. You can see the full breakdown of this logic below:
3. Refreshing the visual UI design
Redesigning the visual design and user experience of our customer profiles was a strategic step towards aligning with the product's overarching vision. Our goal is to create a cleaner, more intuitive interface that not only enhances the aesthetics but also elevates the usability and functionality of the customer profiles. By streamlining the layout, simplifying navigation, and employing a cohesive color scheme and typography, we aimed to provide users in sales, account management, marketing, and customer support roles with a unified and visually appealing experience. This redesign wasn't merely about aesthetics; it was about optimizing the way users interact with customer data, making it easier for them to glean actionable insights, build stronger relationships, and drive better outcomes.
Role & credits
My role
Product Design Lead
Responsibilities
User research & user testing
Leading brainstorming sessions & workshops
Product design
Art direction
Visual design
Engineering partnership
QA & review
Timeline
User research: 4 weeks
Design process & iterations: 4 weeks
QA: 2 weeks
Collaborators
Allissa Chan | Lead Product Manager
Manuel Dipre | Lead Engineer
John McLoughlin | Lead Engineer
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