Customer Segmentation Dashboard
Contents
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#Overview 1Introduction 2Competitor Analysis
3User Research 4Workshops 5Personas
6Solution Mapping 7Final Design 8Conclusion
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#Overview 1Introduction 2Competitor Analysis 3User Research 4Workshops 5Personas 6Solution Mapping 7Final Design 8Conclusion
Intro
Bud Financial sought to leverage Open Banking technology to develop a Customer Segmentation Dashboard, aiming to enable targeted, data-driven marketing campaigns tailored to individual customer needs.
Challenge
The primary challenge involved assessing the feasibility of connecting Bud's extensive customer data pool to the dashboard and converting this data into actionable insights, facilitating the seamless segmentation of customers into precise target groups.
Solution
A dashboard prototype was created to demonstrate how Bud’s technology could enhance customer experiences, increase retention, and drive product growth through strategic, personalised engagement.
1. Introduction

In a competitive financial landscape, banks and financial institutions needed solutions to deliver personalised experiences tailored to their customers' unique needs. Their focus extended to:
Targeting Conversion Rates
Targeting marketing campaigns to customers with interest and need for specific products.
Increasing Revenue with Retention
Generating higher revenue per customer by building customer retention and loyalty.
Gaining a Reputation of Care
Gaining recognition as a bank that understood and cared about what their customers wanted.
Bud Financial aimed to address this by developing a Customer Segmentation Dashboard powered by Open Banking technology, designed to help banks gain deeper insights into customer behaviour and anticipate product needs with precision.
Animated Screen
2. Competitor Analysis

In evaluating user segmentation tools for best practices and inspiration, several platforms with advanced analytics and in-app experience-building capabilities were reviewed. The top three tools considered: Userpilot, Amplitude, and Baremetrics, each offered unique features relevant to segmentation and customer insights.
Userpilot
Userpilot Userpilot was a powerful platform designed to optimise user engagement and satisfaction. Its tools enabled product teams to monitor behaviour, create tailored in-app experiences, and gather actionable insights through advanced analytics. By facilitating customer segmentation, survey collection, and feature tagging, it empowered teams to enhance user experiences and achieve business goals.
Pros
  • Feature Tracking: Tracked product usage to monitor how users interacted with features.
  • In-App Guidance: Enabled the creation of guided in-app experiences to improve onboarding and feature adoption.
  • Feedback Collection: Collected user feedback through survey builders and NPS surveys for better satisfaction insights.
  • Advanced Segmentation: Supported detailed customer segmentation using multiple criteria for targeted analysis.
  • Behavioural Actions: Tagged features and triggered actions based on user behaviour for enhanced engagement.
  • Goal-Oriented Analytics: Offered analytics focused on tracking specific engagement or retention objectives.
  • Tool Integrations: Integrated seamlessly with Mixpanel, Google Analytics, and Kissmetrics for comprehensive analytics.
Cons
  • Content Maintenance: Required effort to manage and update in-app experiences to ensure relevance.
  • Learning Curve: Advanced segmentation and feature tagging demanded technical expertise.
  • Limited Offline Use: Lacked offline functionality for use in restricted environments.
Amplitude
Amplitude Amplitude was a leading digital analytics tool tailored for SaaS companies, providing deep insights into user behaviour. It enabled teams to track and segment user actions, offering customisable analytics to drive growth and optimise user experiences. Amplitude's robust features allowed product managers to make data-driven decisions, aligning product development with user needs.
Pros
  • Behaviour Insights: Delivered valuable insights into user behaviour, improving customer engagement.
  • Event Tracking: Tracked events and enabled bulk filtering to analyse multiple interactions simultaneously.
  • Flexible Analytics: Offered customisable analytics options for diverse business needs.
  • User Segmentation: Supported advanced segmentation of users to identify trends and refine strategies.
  • Actionable Data: Provided data that drove growth and informed product decisions.
Cons
  • Technical Barrier: Advanced configurations required coding knowledge, limiting accessibility.
  • Manual Setup: Lacked ready-made templates, increasing setup time for new processes.
  • Niche Focus: Primarily catered to SaaS companies, limiting versatility for other industries.
Baremetrics
Baremetrics Baremetrics specialised in simplifying customer data analysis, offering a user-friendly platform for segmentation and growth monitoring. It catered to teams with straightforward needs, providing basic tools for categorising customers and assessing trends. While limited in advanced customisation, it remained ideal for teams prioritising simplicity over complexity.
Pros
  • Basic Segmentation: Offered simple tools for grouping customers by general characteristics.
  • Growth Monitoring: Provided health checks to track customer growth and emerging trends.
  • Ease of Use: Focused on simplicity, making it accessible to non-technical users.
  • Visual Insights: Delivered clear metric visualisations for quick decision-making.
Cons
  • Limited Features: Lacked advanced personalisation tools compared to competitors like Userpilot.
  • Restricted Segmentation: Simple segmentation options made it unsuitable for complex analysis.
  • Fewer Integrations: Offered fewer third-party tool integrations, restricting its broader functionality.
3. User Research

To gain a deeper understanding of user needs and challenges with the Customer Segmentation Dashboard, four users from Bud's marketing team were recruited. These users had prior experience with data platforms such as Google Analytics, Salesforce, and Matomo, which provided valuable insights into their requirements for a dashboard focused on customer segmentation.

In user interviews, expectations, pain points, and feature requests were explored across several key areas. An affinity map was created (shown below).
Affinity Mapping
Affinity Mapping
Insights gathered were analysed and organised into four key focus areas, each addressing the users' primary needs and concerns.
Design of the Attributes
Users highlighted that attributes in segmentation should be intuitive and flexible, allowing them to easily adjust filters based on various criteria. Clear labels, consistent naming conventions, and the ability to sort or categorise attributes emerged as significant needs.
Filtering of Conditions
There was a desire for more advanced filtering conditions that allowed for greater precision. This included improved toggle options (e.g., AND/OR logic), better visualisation of nested conditions, and clearer summaries that accurately reflected selected criteria without overwhelming users.
Segments
Users expressed the need for clearer, more actionable segmentation options. They found it challenging to interpret segmented counters and suggested improvements like cascading segments, timestamp integration, and segment descriptions to make the dashboard more insightful.
General User Interface
The interface needed to be more cohesive, with accessible fonts and icons, colour-coded segments, and enhanced consistency in UI elements. Users also requested more visualisation options to help interpret data at a glance and preferred a first-person platform perspective for improved usability.
4. Workshops

As part of the development process for TotallyMoney's integration of Bud's Open Banking technology, workshops played a critical role in shaping the tool's features and ensuring they met the needs of the target users. The same group from the initial user research participated in these workshops, providing additional insights, defining personas, and refining the feature list. This approach ensured that the new financial tool would be both practical and user-friendly.

The Miro board below is an example session where the functionality of creating a subset of customers based on search criteria that aligned with their financial behaviour was explored. A potential persona was developed, representing a user who needed to export financial data about customers into the existing CRM tool. This would enable the identification of current savings, ISA, and LISA account holders for targeted marketing efforts.Miro
User Story Mapping
User Story Mapping
5. Personas

Based on insights gathered from both user research and workshops, two key personas were developed to represent typical users of the Customer Segmentation Dashboard (shown below). These personas guided design decisions by aligning the dashboard functionalities with the diverse needs of both entry-level and senior marketing users. This approach ensured that the Customer Segmentation Dashboard was tailored to be effective for a wide range of marketing roles, addressing the specific requirements of each user type.
Helen Slater - The Rookie Marketer
Helen Slater - The Rookie Marketer
“ I just want a tool that helps me get things done without feeling like I have to figure it all out first. Clear labels and easy filters would save me so much time. ”
Profile
  • Fresh graduate, recently hired into her first marketing role.
  • Enthusiastic, eager to learn, and determined to excel in her job.
  • Strives to impress her boss and advance her career.
Pains
  • Struggles with unintuitive features when building marketing campaigns.
  • Faces challenges in creating customer segments effectively.
  • Frustrated by the lack of clear attribute labels and flexible filter options.
  • Experiences friction in her workflow due to a complex interface.
Goals
  • Wants to quickly learn and navigate marketing tools to improve efficiency.
  • Aims to build more targeted campaigns with ease.
  • Seeks to impress her boss by delivering successful marketing initiatives.
Solutions
Simplifying the user interface would allow Helen and other entry-level users to quickly grasp the dashboard’s functions, improving their productivity and reducing frustration.
Requirements
Wants to efficiently complete marketing tasks, gain a deep understanding of customer behaviour, and enhance her skills in her new role.
Outcomes
With a more intuitive interface, Helen can complete tasks faster, reducing errors and improving job satisfaction. This will allow her to make better-informed decisions and contribute effectively to the team's goals.
John Wills - The Seasoned Marketing Manager
John Wills - The Seasoned Marketing Manager
“ I need a system that works as fast as I do, so I can focus on leading my team and delivering results. ”
Profile
  • He is a senior marketing manager with over 20 years of experience.
  • Responsible for managing a large team and overseeing marketing campaigns to meet key performance indicators (KPIs).
  • Faced with high expectations and limited time, John needs a reliable, user-friendly system to monitor data and team activities.
Pains
  • Frustrated by inconsistencies in feature functionality.
  • Struggled with a lack of intuitive options for verifying marketing segments.
  • Time constraints added pressure to ensure campaigns were efficient and effective.
Goals
  • Maintain a clear overview of his team's performance.
  • Ensure data is easily accessible for quick decision-making.
  • Enable detailed analysis of campaign performance without friction.
Solutions
A streamlined interface with advanced filtering and segment summaries would help John quickly review performance and make decisions without the frustration of unintuitive features.
Requirements
John needs a system that offers clear, intuitive features for quick access to relevant data, enabling fast decision-making and efficient team management.
Outcomes
These improvements would streamline John’s workflow, helping him meet KPIs, track data more effectively, and boost team productivity and confidence in results.
6. Solution Mapping

Following the organisation of research insights, potential solutions were brainstormed to address the identified user needs. Prioritisation frameworks such as the Impact/Effort Matrix and the MoSCoW Matrix were applied to assess and rank each idea.

The following key features were selected to guide the initial phase of prototyping and testing:
Must-Have
Critical features included the redesigned segmented counter, AND/OR toggles, enhanced categorisation, and condition-based filtering. These were inspired by Userpilot and Amplitude, which simplified complex filtering.
Should-Have
Selected enhancements for improving usability included the calendar UI, post-creation access to the segment editor, and a refined drag icon. These drew inspiration from Amplitude and Baremetrics for smoother navigation.
Could-Have
Valuable but non-essential features included clickable segments, removal of redundant icons, and added sort/search options. Observed in platforms like Baremetrics, these supported deeper data interaction but were lower priority.
Won't-Have
Low-impact or less relevant features, such as a “Notes” section and predictive search, were excluded. This decision ensured that the focus remained on functionality that directly supported key user workflows and productivity.
7. Final Design

Customer Segmentation Dashboard - Final Design After finalising the initial wireframe sketches, a high-fidelity prototype was created in Figma, featuring all the major screens and core interactions to closely simulate the live app experience.

Key inclusions in the final design were:
The prototype was built to provide a realistic, interactive experience for users, allowing them to navigate through the core functions and understand the flow and feel of the platform.

Please click the link below to see the prototype in action.

Prototype
8. Conclusion

This project provided valuable insights into the challenges of implementing subtle yet impactful changes to an existing product. Through careful consideration of user needs and iterative testing, the project successfully introduced improvements that enhanced both functionality and user experience. Key takeaways included a deeper understanding of data-driven design and the positive reception from clients, which affirmed the project’s value in meeting real-world needs.

For future iterations, expanding the product's capabilities could further empower marketing teams. Ideas for future development could include:
Standalone Dashboard
A dedicated tool allowing marketing teams to query databases with customisable fields, complementing their CRM and marketing tools.
CRM Integrations
Direct integration with CRMs like Salesforce and Hubspot, enabling seamless enrichment of transaction data with marketing-specific insights.
Support for Additional Products
Expand beyond loans and credit cards by offering a wider range of financial and insurance products like home, car, holiday, life insurance, savings, and investment accounts.
Predictive Customer Attributes
Enhancing customer profiles with predictive attributes, offering marketing teams insights into the likelihood of customer interest in specific products.
Data Visualisation Features
Integrate advanced data visualisation tools to represent key metrics and insights visually. This feature will enable marketing teams to quickly grasp complex data, identify trends, and make informed decisions.
Bud Product Marketing Insights
Providing data-driven insights to drive engagement with Bud’s own products within client systems.
These potential features would help solidify the product as a comprehensive tool for marketing teams, making data more accessible and actionable across a broad range of use cases.