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Customer Journey Analytics

Customer journey analytics is collecting and analyzing data related to customer behavior so that businesses can improve their experience. This analysis is performed across multiple customer touchpoints and channels to assess the impact of behavior on business outcomes.

The 3 A’s to Effective Customer Journey Analytics

  1. Acquisition Stage: During the acquisition phase, a buyer/customer seeks a solution to their problem. They find out about the company through a channel such as advertising, organic search, billboards, television, review sites, or word-of-mouth referrals. They may even initiate a chat conversation or contact the company to learn more about its products and services.
  2. Activation Stage: After completing the acquisition stage, the prospect advances to the activation stage. At this point, the prospect is referred to as a user or customer. Eventually, the user is directed to the smooth onboarding process.
  3. Adoption Stage: At this point, users begin to incorporate the product into their routine. Business-to-business (B2B) product users will invite colleagues to join and collaborate with them. At the same time, B2C users will form habits and become dependent on the product in their daily lives.

Benefits of Customer Journey Analytics

Improve Customer Experiences
It is possible to identify bottlenecks in your product, minimize them, and make suggestions based on past behavior by visualizing user journeys through customer journey analytics tools. Customer journey analytics collects and analyses data in real-time. This allows businesses to analyze customer behavior as they interact with their website or product and then identify opportunities to improve the customer experience.

Reducing Customer Churn
As customer journey analytics can predict customer behavior based on past actions, it can also identify customers who are at risk of abandoning the product, allowing businesses to take action to retain them. After identifying at-risk customers, customer journey analytics can be used to personalize interactions with them and help them feel more positive about the brand, compelling them to reconsider leaving.

Boosting Revenue Shift Upward
Customer journey analytics can help the companies to increase their revenue by identifying the customer who made the purchase. They can improve these journeys by reaching out to customers in real-time with relevant communication such as cross-sell offers, sending personalized emails, and offering them attractive discounts and points as a reward for their loyalty towards your brand.

Customer journey analytics enables businesses to align and optimize each customer’s experience. Through customer journey analytics, companies can achieve great success in terms of loyalty and keep every customer hooked on the type of services and satisfaction they are set to provide.

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