What marketers should know about customer journey analytics
Customer journey analytics tell you how customers are engaging with you at each touchpoint.
Data analysis goes hand in hand with customer experience in the modern marketing landscape. Marketers should examine audience data from each touchpoint in the sales cycle, a process professionals call “customer journey analytics.”
“As marketers, we know that nothing happens in a silo,” said Amber Toro-Keech, Marketing Data Scientist at Disruptive Advertising, a recent MarTech session. “Customer journey analytics helps us look at how everything is working together.”
What is customer journey analytics?
Customer journey analytics is a method of data analysis showing how customers engage with a business across a digital journey. It’s a useful tool for marketers and business owners who are finding increases in customer drop-off and want relevant actionable data.
Toro-Keech says that starting your analytics project off correctly is one of the most important things marketers can do to begin analyzing customer journeys, especially when 85% of big data projects fail. And this requires a thorough analysis of your properties.
Business owners need to communicate their customer retention issues and ideal solutions with their marketing analysts. Marketers should then review the current data collection process and determine what ideas are feasible. This will help you determine if there are any problems, such as data gaps, tracking issues, or poor user experience.
Collecting customer data
After getting a good idea of what the customer journey looks like, marketers should focus on gathering and organizing clean customer data. Many helpful tools specialize in data storage, tracking, and analytics. According to the presentation, these include applications such as Adobe Launch, Adobe Analytics, Google Analytics, and Databricks.
Customer data visualization and analysis
Seasoned marketers know data collection is only part of the story. You need to present your findings to business owners and shareholders so they can see the value in your efforts. Tools like Tableau, Google Data Studio, Domo, and Qlick were described in the presentation as great choices for presenting customer data.
Testing and analyzing customer data
Once the customer data collection, tracking, and visualization are set up and functioning, marketers should begin testing their hypotheses and analyzing the findings. Helpful applications like Hotjar and Optimizely let data analysts perform A/B tests with your customer journey touchpoints to see what needs improvement.
Having access to so much customer data never guarantees success. Steve Petersen, Marketing Technology Operations Manager at Zuora, pointed out the need for a holistic approach to customer journey analysis in the same MarTech presentation: “These days we have access to so much data and we can be very granular with it. And our stakeholders know it. They know that we can gather this, so they expect us to make important decisions.”
This article is written by Corey Patterson and originally published here