Simon Coulthard November 12, 2024
Did you know that 89% of successful businesses say that anticipating what customers need at every stage of their journey is critical to growth?
That’s just one of the many statistics from Google’s “An Audience of Individuals” report that underline the importance of customer journey analytics.
In this blog, you’ll learn exactly what CJA is, with real-world customer journey analytics examples. It includes a roadmap for improving customer satisfaction across touchpoints, and also lists three of the best customer journey mapping platforms on the market today.
Customer journey analytics (CJA) is the practice of examining how customers engage with a business across all touchpoints.
Otherwise known as customer journey data analytics, it includes both online and offline milestones.
This distinguishes it from digital experience analytics, which is limited to interactions in the online world.
Additionally, customer journey analytics takes a holistic view of the entire customer journey across various channels - a key distinction from user journey analytics, which focuses specifically on user behavior within digital platforms.
If you want, try thinking of CJA as a "customer detective kit" - a Sherlock URL-mes who investigates the full scope of a customer’s journey and finds subtle clues that lead to better decisions and targeted improvements.
Some notable customer journey analytics use cases include:
→ identifying key drop-off points in the purchasing process,
→ optimizing the onboarding experience for new users,
→ improving customer support interactions,
→ and tailoring marketing campaigns based on user behavior and preferences.
For an ecommerce business, the online CJA touchpoints would cover:
However, eCommerce has one foot in the physical world.
As such, customer journey analytics would also include the following offline touchpoints:
Clearly, there are many milestones in the customer journey that all need to be refined for a smoother experience.
By tracking each interaction, marketers can uncover patterns in customer behavior and gain a deeper understanding of their experiences.
This insight helps to optimize business outcomes by refining marketing, customer service, and product strategies.
Let’s look at a real customer journey analytics example from the world of retail.
Imagine an eCommerce business that is suffering from a low NET Promoter Score and an unacceptable number of returns despite selling a popular range of Nike trainers.
This is overwhelming their customer support team and driving up costs.
Here’s how customer journey analytics would play out:
First off, the business worked to map the the return journey, which typically looks like this:
By tracking eCommerce KPIs and using customer journey analytics, the business identified issues affecting satisfaction:
The business realized that unclear return instructions and delayed refunds were causing frustration, leading to a low NPS score and a high volume of messages to their customer support team.
To resolve this issue, the business redesigned their Returns webpage to make it easier to understand the returns process and print the shipping label.
→ Customers can now easily generate return labels, select preferred shipping options, and receive instant notifications when the return is processed.
They also tell customers that the refund process takes ten days.
→ But since the business in reality completes the refund within five days, customers receive their money faster than expected - a useful trick for increasing satisfaction.
The business also decided to move away from Evri and handle shipping in house to remove an unreliable third-party from the returns process.
After these changes, the company noticed an immediate decrease in the number of customers contacting their support team.
They even started receiving messages from customers delighted with the speed with which they received their refunds - despite the fact that nothing had actually changed.
The business also continued monitoring their NPS score, and found that it started increasing almost immediately after they implemented changes.
Customer journey analytics (CJA) and customer journey mapping are complementary but distinct tools that help businesses understand their customers.
Customer journey mapping is a visual representation of the typical path customers take, outlining each touchpoint in a hypothetical or idealized journey.
It provides a strategic overview, helping teams see where customers might encounter obstacles or become frustrated.
Customer journey analytics, on the other hand, dives into real-time data on actual customer behaviors, giving businesses the power to monitor and analyze interactions as they happen.
Where journey mapping shows potential pathways, CJA captures real customer movements and patterns, allowing businesses to identify emerging trends, detect issues, and optimize experiences based on actual insights.
Together, journey mapping sets the foundation, and CJA refines it through data-driven insights.
While every business may prioritize different customer journey milestones, each one plays a crucial role in creating the seamless experience that customers now expect.
Below, you’ll find five key steps to customer journey analytics that will help you optimize interactions with your business:
Of course, customer journey analytics is an ongoing process, so you’ll want to continually monitor results and track performance metrics to evaluate the impact of changes and refine the journey further.
Customer journey analytics can be facilitated with tools that include customer journey mapping, behavior analytics, and feedback acquisition.
Here are seven customer journey analytics examples that cover all the different stages involved:
By utilizing these customer journey analytics tools, companies can gain a comprehensive understanding of their customer journeys, leading to more informed decisions and enhanced user experiences.
Effective customer journey mapping is essential for visualizing customer interactions and optimizing the overall experience.
Here are three notable customer journey analytics software that businesses can adopt today:
TWIPLA is an advanced privacy-perfect web analytics platform, with a range of user behavior analytics tools that allow businesses to visualize and analze customer interactions across various touchpoints.
By integrating data from conversion funnels, session recordings, heatmaps, and outgoing traffic analytics, TWIPLA helps organizations understand the full spectrum of the customer experience - making it easier to identify pain points and opportunities for improvement.
Lucidchart is a versatile diagramming tool that supports customer journey mapping through intuitive visualizations.
Users can create detailed journey maps that illustrate each stage of the customer experience, making it easier to collaborate and communicate insights across teams. Its integration capabilities with other platforms enhance its functionality for businesses.
Sprout Social is an all-in-one social media management solution that supports customer journey mapping by capturing and analyzing social interactions across platforms.
With its ability to track engagement, sentiment, and customer feedback, Sprout Social helps businesses gain insights into the social touchpoints of their customer journey, fostering better communication and collaboration across teams.
Its integration with other platforms enhances its utility, making it a valuable tool for understanding the social aspects of the customer experience.
Smaply specializes in customer journey mapping, offering tools to create visual representations of customer interactions and experiences.
It provides features for personal development, journey mapping, and stakeholder mapping, enabling businesses to gain a deeper understanding of their customers' needs and motivations, which helps drive better decision-making.
These platforms each equip businesses with the tools necessary to map and optimize customer journeys effectively, leading to enhanced satisfaction and loyalty.
Customer journey analytics (CJA) tracks and analyzes customer interactions across all touchpoints, online and offline. It provides real-time insights into the customer journey, helping businesses understand behavior patterns and improve customer experience.
CJA offers actionable insights into customer behavior, enabling businesses to enhance satisfaction, personalize experiences, identify pain points, and improve overall outcomes based on real-time data.
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