32 Banking Analytics FIs Must Track to Improve on CX
In a nutshell 🥥 Most banks and credit unions are sitting on a goldmine of customer, product, and staffing data—especially around appointments—but aren’t using it to drive growth. This guide outlines 32 essential customer experience (CX) metrics across three key areas: client, product, and staff. You’ll learn what to track, where to find the data, and how to use it to improve customer satisfaction, optimize operations, and grow your institution. Why Banking Analytics are Key to Better Experiences and Growth Let’s talk about data that actually matters. Every day, FIs collect a wealth of data, whether that’s customer appointments, product interactions, staffing utilization, or engagement metrics. Hidden within these numbers are powerful insights into what’s working, what’s not, and where your next growth opportunities lie. But: Many banks and credit unions don’t know where their appointments come from—or why. They can’t easily see which products are trending up or down, how many walk-ins turn into appointments, or which staff members are booking the most engagements. Without this knowledge, institutions miss out on ways to improve their customer or member experience, strengthen engagement, and accelerate growth for their top products and services. That’s where this article comes in. In it, we break down the 32 most important banking analytics metrics every bank and credit union should track—spanning the full appointment journey, from booking to follow-up. You’ll also learn where to source this data and how to turn insights into measurable improvements across your client, product, and staff operations. The Top CX Metrics for Banks and Credit Unions to Track One of the first challenges of banking analytics is choice paralysis: having so many metrics that you could track that you track none at all. Instead of presenting you with every possible option, we’ve filtered out the vanity metrics and broken down 32 CX metrics that will provide invaluable insight into your bank or credit union. To make it easier to explore these metrics, we’ve split them into three categories: client, product, and staff metrics. Client Metrics: Get to Know Your Customers and Members The first data category focuses on how your customers or members interact with your bank or credit union. This is to track things like product usage, engagement, satisfaction, and activity. These help you understand client preferences and behaviors—and figure out how to encourage the habits or actions you’d prefer. Total interactions online: Track how many interactions your customers or members have with your bank or credit union. Use this metric for a high-level analysis of seasonal trends and growth trajectories. Total interactions with staff: Count how many interactions customers or members have with your employees—whether that’s via phone, video chat, email, or in-person. Measuring staff interactions allows you to track customer preferences and (if necessary) rebalance your staff scheduling. Missed appointments: the total number of appointments that get missed. This can be per branch or per advisor, on a monthly timeline. Show-up rate: This is simply the percentage of people who show up for booked appointments. Higher is always better. No-show rate: Conversely, your no-show rate measures how many people don’t show up for appointments. A consistently high no-show rate suggests something is wrong with your service or communication. Customer satisfaction (CSAT): Measure the overall satisfaction of your customer or members with a metric like CSAT or NPS. You can slice the data to show individual client satisfaction, average branch satisfaction, and satisfaction within particular demographics. Sentiment or review velocity: It’s a good idea to track any meaningful gains or losses in your customers’ feedback across your review channels. Digital onboarding abandonment rates: This is helpful in understanding when your customers aren’t finishing online forms or applications, signalling points of friction like time to completion, or a lack of seamlessness in the process UX. Most engaged: Find the members or customers who are most engaged with your services. If you’re running referral campaigns or customer research, start with your power users. Summary by client or household: Report all interactions from a single client or household. This gives you a snapshot of their history, which can shortcut a lot of manual fact-finding during calls or account reviews. Client activity overview: See all a client’s interactions with your staff, digital campaigns, and service history. Identify trends in their needs, including relevant products and services that they’re not using. Top acquisition channels: Report on your most effective sales and marketing channels. Invest in your top acquisition channels and cut underperforming alternatives. Customer Lifetime Value (CLV): This metric measures the total revenue you expect to make from your average member or customer during their lifetime. It’s useful for gauging the long-term success of sales and marketing efforts. Task Success Rate (TSR): This measures how efficiently your customers and members are completing key actions (i.e. appointments, loan applications, account openings, and the like). Product Metrics: Learn How People Are Using Your Products Our second data category switches focus to your products and services. Delving into product usage, resourcing requirements, and acquisition channels reveals a lot about your organization, including where you can make improvements. Total products: Track the total number of products your customers or members have with your bank or credit union. Like most high-level metrics, the total products metric provides directional trends (for example, you’re growing or contracting), but you’ll need extra data for context and nuance. Most popular services: Measure the popularity of specific products and services. Often, there’s a Pareto principle at play where a small number of products drive the majority of your revenue. Average products per transaction: Track how many products your members or customers touch during a single transaction. This metric is essential if you’re pursuing a cross-selling strategy. Average products per interaction: A very similar metric, but measuring average products over interactions (individual appointments or meetings) rather than transactions. Again, it’s helpful to understand your cross-selling performance. Average interactions per product/service type: Investigate your customer or member journey by counting how many interactions it takes to close a service, per product type. Note: A