With approximately over 1.5 million users visiting the website per day, having insights into how these customers flow across the offerings and over 10 million products is crucial to improving overall user experience and business performance.
Having an overview of how customers flow across the website pages during their shopping journey from site entry to exit gives insights into customer behaviour, preferences and needs – and how best to improve on their overall shopping experience.
With approximately over 1.5 million users visiting the website per day, having insights into how these customers flow across the offerings and over 10 million products is crucial to improving overall user experience and business performance.
Having an overview of how customers flow across the website pages during their shopping journey from site entry to exit gives insights into customer behaviour, preferences and needs – and how best to improve on their overall shopping experience.
Data Analysis, Prototype Design, UX
Microsoft Excel, PowerBI
Data Analysis, Prototype Design, UX
Microsoft Excel, PowerBI
Using customer analytics data, its possible to define patterns in user browsing activities. This data shows which pages they visit along their shopping experience and in which order, highlights looping behaviours that might indicate issues customers face with navigation, and where unexpected drop-offs occur during the customer journey.
With a wide range of products and services to choose from, customers have the luxury of choice and by extension exhibit different shopping patterns. Segmenting helps to narrow the customer journey analysis into groups based on common characteristics. Shared interests segments including pages visited, products viewed, past purchases etc help with a better understanding of their shopping experience and how best to improve it.
Using customer analytics data, its possible to define patterns in user browsing activities. This data shows which pages they visit along their shopping experience and in which order, highlights looping behaviours that might indicate issues customers face with navigation, and where unexpected drop-offs occur during the customer journey.
With a wide range of products and services to choose from, customers have the luxury of choice and by extension exhibit different shopping patterns. Segmenting helps to narrow the customer journey analysis into groups based on common characteristics. Shared interests segments including pages visited, products viewed, past purchases etc help with a better understanding of their shopping experience and how best to improve it.
Patterns and user browsing behaviours is affected by factors including Pagetype, Content, Time-to-Conversion etc. By analysing the customer analytics data, it is possible to obtain insights into questions that would help improve on the user shopping experience.
Patterns and user browsing behaviours is affected by factors including Pagetype, Content, Time-to-Conversion etc. By analysing the customer analytics data, it is possible to obtain insights into questions that would help improve on the user shopping experience.
Sankey diagrams are useful for visualising the flow of any metric in proportion to the flow dimension quantity. Featuring different color coded bands, the color bands allow for intuitive understanding of the data presented. The link width represents the proportionality of the metric to the dimension quantity flow being visualized – if a flow is twice as wide, it represents double the quantity.
Sankey diagrams are useful for visualising the flow of any metric in proportion to the flow dimension quantity. Featuring different color coded bands, the color bands allow for intuitive understanding of the data presented. The link width represents the proportionality of the metric to the dimension quantity flow being visualized – if a flow is twice as wide, it represents double the quantity.
The Tassels Parallel Sets Slider is an interactive slicer useful for exploring multi-categorical data. It creates an interactive way to visualise and analyze data with additional functionality for filtering using toggles to create more granular views.
The Tassels Parallel Sets Slider is an interactive slicer useful for exploring multi-categorical data. It creates an interactive way to visualise and analyze data with additional functionality for filtering using toggles to create more granular views.
Decomposition tree allows data visualization across multiple dimensions. By automatically aggregating data, data can be drilled down and analyzed in the hierarchy for a quick analysis. The drill down nature makes it a valuable tool for ad hoc exploration and root cause analysis.
Decomposition tree allows data visualization across multiple dimensions. By automatically aggregating data, data can be drilled down and analyzed in the hierarchy for a quick analysis. The drill down nature makes it a valuable tool for ad hoc exploration and root cause analysis.
Chord Diagrams can provide a compact, economical way to represent flows and connections between entities/nodes in data. Chord diagrams appear complex to read, but are perfect for tracking similarities within different data groups or values within a single set of data. Data representation is based on position, area, and color hue.
Chord Diagrams can provide a compact, economical way to represent flows and connections between entities/nodes in data. Chord diagrams appear complex to read, but are perfect for tracking similarities within different data groups or values within a single set of data. Data representation is based on position, area, and color hue.
Sunburst charts are useful for vusialisation of hierarchical datasets using concentric rings with each ring corresponding to a level in the hierarchy. A Sunburst chart uses a radial layout to create the dataset visualisation experience. Focusing on a segment in the ring gives the sense of its relationship to the whole data set.
Sunburst charts are useful for vusialisation of hierarchical datasets using concentric rings with each ring corresponding to a level in the hierarchy. A Sunburst chart uses a radial layout to create the dataset visualisation experience. Focusing on a segment in the ring gives the sense of its relationship to the whole data set.
Rings are sliced up and divided based on their hierarchical relationship to the parent slice with each slice proportional to a value. Colour hues highlight hierarchal groupings or specific categories.
Rings are sliced up and divided based on their hierarchical relationship to the parent slice with each slice proportional to a value. Colour hues highlight hierarchal groupings or specific categories.
Including feature to know the pages customers visited prior to landing on a particular page allows for more insights into improving conversion and reducing abandonment.
Being able to trace back the customer journey is one thing, but having knowledge of where their journey started from would reveal hidden patterns and clusters of behaviour, as well as a better understanding of the impact incoming channels have on performance.
Including feature to know the pages customers visited prior to landing on a particular page allows for more insights into improving conversion and reducing abandonment.
Being able to trace back the customer journey is one thing, but having knowledge of where their journey started from would reveal hidden patterns and clusters of behaviour, as well as a better understanding of the impact incoming channels have on performance.
