Using Analytics to Map Out Customer Expectations

Gain a data-driven understanding of your customer through Importance-Performance Maps. In today's competitive business world, differentiating your brand by understanding and delivering what truly matters to your customers is crucial. That’s where Importance-Performance Maps (I-P Maps) come in, providing a powerful visual tool to drive strategic decisions. What exactly is an I-P Map? It's a two-by-two grid that allows you to evaluate how well your brand performs in the areas that are important (as well as *not* important) to consumers. The vertical axis represents the importance of various attributes in consumers' eyes, while the horizontal axis shows your brand's performance in those areas. You can include other brands in your market, too, in order to see how your brand stacks up against the competition along those. When done correctly, every critical attribute of your offering -- whether it's product quality, customer service, or pricing -- is plotted on the I-P Map based on these two dimensions. Why does it matter? I-P Maps reveal your brand's strengths and areas where improvement is needed. Here's a breakdown of the quadrants: - Keep It Up (High Importance, High Performance): These are your strengths—attributes that are both highly important to customers and where your brand performs well. Maintain focus here to keep your competitive edge. - Concentrate Here (High Importance, Low Performance): These are critical areas where your brand is underperforming, despite their high importance to customers. Improving performance here can significantly boost customer satisfaction. - Low Priority (Low Importance, Low Performance): Attributes that are less important and where performance is lower. These areas may not require immediate attention but should be monitored for any shifts in customer priorities. - Possible Overkill (Low Importance, High Performance): Here, your brand may be over-delivering in areas that are not as important to customers. Resources invested here might be better allocated to areas of higher impact. How do I use I-P Maps? Use I-P Maps to make informed decisions backed by data that align with customer expectations. Fix those areas of underperformance that are important to consumers. Stop investing in attributes of your product or service that consumers just don't care about. Prioritize investment in product offerings, elevate aspects of customer service, or reallocate resources to close competitive gaps or strengthen your advantages. Use I-P Maps to make informed choices that improve your business performance in impactful and efficient ways. Art+Science Analytics Institute | University of Notre Dame | University of Notre Dame - Mendoza College of Business | University of Illinois Urbana-Champaign | University of Chicago | D'Amore-McKim School of Business at Northeastern University | ELVTR | Grow with Google - Data Analytics #Analytics #DataStorytelling

Ever launched a product or feature, only to see users drop off without knowing why? You check the analytics - traffic looks fine, but engagement is slipping. Where are users struggling? Why do some breeze through while others get stuck? Traditional metrics like bounce rates and session counts barely scratch the surface. This is where session analysis becomes a game-changer. It moves beyond surface-level metrics to uncover hidden behavioral patterns - why users hesitate, get frustrated, or abandon tasks entirely. One of the biggest challenges in UX research is understanding friction points in real time. Hesitation detection reveals where users pause too long, signaling uncertainty or cognitive overload. Rage click detection catches moments of frustration - those rapid, repeated clicks that scream, "Why is this not working?" But frustration does not always look the same. Some users walk away silently. Task abandonment analysis helps us detect disengagement before it is too late, using behavioral trends rather than arbitrary cutoffs. Dwell time analysis adds another layer, showing how long users actively engage before losing interest. Of course, not all users behave the same way. Clustering techniques help group them based on interaction styles, making personalization and targeted interventions possible. And we can take it further - predictive modeling, like logistic regression, helps forecast dropout risk, allowing us to act proactively rather than reactively.

Friday honesty: Customer-centricity is a lot harder to maintain than it seems. Even for those of us in Customer Success. The tendency is always to drift toward making our processes and focus company-centric rather than customer-centric. Don't believe me? Just look at one example of this: Customer Journeys. Many teams say that they have a defined Customer Journey. But rather than actually being oriented around the customer, for many the journey map is a list of activities from the company's perspective that are built around milestones the company cares about (contract signature, go-live, renewal, etc). I know about this, because I've been guilty of it in the past myself. I confuse my activity list with a customer journey and wonder why customers aren't as successful as they'd like. While important, that isn't a customer journey. It's an activity list. It's a rut none of us mean to fall into, but it's the natural drift because we live and breathe our own organization. So what do you do about it? How can you adopt a more customer-centric mindset in this area? TRY THIS APPROACH INSTEAD: 1. List out the stages your customers' business goes through at each phase of their experience with your product. Use these to categorize journey stage, rather than your contract lifecycle. 2. For each stage, list out what their experiences, expectations, and activities should be to get the results they want. Don't focus on listing what YOU do, but rather focus on listing what a customer does at each phase of their business with your product. List out the challenges they'd face, the business benefits they'd experience, the change management they'd have to go through, the usage they'd expect. Think bigger than your product here. 3. Then map what support a customer would need to actually accomplish these desired outcomes at each stage of the journey. Think education, change management enablement, training, etc. 4. Based on all of the above, you're finally ready to start identifying what your teams do to support the customer. ____________________________________________ Following a process like this helps build customer-centricity in 3 ways: 1. It causes customers to be the center of how you decide which activities are most important to focus on. 2. It empowers your team to become prescriptive about what customers should be doing for THEIR success. 3. It exposes what you don't know about your customers' business. And if you don't know something, just ask them. Don't make assumptions when you can instead talk to your customers directly. Avoid the company-centric drift, fight to maintain true customer-centricity however you can. This isn't just a nice to have in 2024. It's a business imperative that's important for any business to survive in this climate. But I want to hear from you! How do you guard your org from drifting to company-centricity? #SaaS #CustomerSuccess #Leadership #CustomerCentric