Correct implementation of the financial resources to create a great customer experience and scale up revenue is not an easy task.

Jamie Haenggi, Chief Customer Officer at ADT, says in Clootrack's customer experience report, "Two challenges brands often face when striving to create the best experience are - Trying to determine where to invest their time and money to fix, improve and delight in the customer journey and How to and where to customize the journey to what matters most to that customer. Part of the overall challenge here is understanding what matters most to customers in such a way that customers respond with loyalty, increased revenue or rave reviews – and ideally all three!"

Modern technology is no less than a boon for addressing such problems from its roots. Today, brands are investing in customer experience analytics to solve customer issues and provide a top-notch customer experience that brings desired ROI.

How do Customer Experience Analytics Influence ROI?

As companies are moving towards a customer-centric approach, customer experience analytics has become a necessary component of company operations. 

Customer experience analytics directly speaks for the customer experience offered by a company. Moreover, it impacts revenue generation to a great extent, as customers only invest in a product or service when they are satisfied with the outcomes they receive after using it.

Customer Behavior

Customer experience analytics gives a broader view of customer behavior, enabling a brand to make alterations according to customer wants and requirements. Further, assisting a brand in measuring the CX metrics that influence customer retention and acquisition rates. 

Customer Churn 

Analytics allows a brand to identify customer churn rates with the possible reasons behind the withdrawal of customers. The number of dissatisfied customers reduces as the brand can immediately solve customer issues. Also, that spikes up the customer retention rate as the actions are taken based on the data analytics report.

Customer-based Key Performance Indicators (KPIs) 

Apart from that, customer experience analytics impact crucial customer-based Key Performance Indicators (KPIs) such as Customer Lifetime Value (CLV) and Customer Acquisition Cost (CAC). When a brand aligns its work built on customer insights and makes decisions backed by processed data, there is a considerable increase in the CLV and a decrease in CAC. A brand can determine significant improvement in the CX program after performing the changes and again analyzing the results. 

For example, Spotify, a well-recognized music streaming service provider, collects consumers' data and analyzes it to apply customer experience enriching strategies that make customers addicted to the application. To maintain and uninterruptedly grow its revenue flow, Spotify uses customer experience analytics to identify a user's music taste and provide personalized content accordingly. Correspondingly, boost its marketing through targeted ads to attract consumers. 

The CX analytics optimize customer channels entitling the brand to customize the interaction with the customers. It enhances the quality of customer relationships, bringing more business to the enterprise. Processes administrated with the help of customer experience analytics wind up with more promising revenue generation.

3 Steps Towards Thoughtful Investment In CX Analytics

It's common knowledge that any component of a business producing ROI needs investment. Since customer experience analytics is a systematic inspection of customer-oriented business proceedings carried out with the support of modern technology, it needs investment.

Investment in CX operations without a meticulous CX strategy can prove to be a total waste of money. You have to make the financing method tactical to get a more promising effect on the entire process.

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Here are 3 steps to thoughtfully make an investment in customer experience analytics:

1) Plan and Execute Investment Plan

Start with understanding the requirements for your CX analysis activities. Before plowing your money randomly, you need to figure out where to invest after conforming to the business demands. 

If your company has an in-house CX team, you must purchase a subscription to tools that aid the CX operation to automate the work and make it easier for the workforce. The CX tool kit for the same purpose includes social listening tools, Customer Relationship Management (CRM) tools, CX analytics tools, and many such that come up with the solution for customer pain points.

If you want to save HR resources and do not want an in-house team for the CX exercises, you can put money into AI-driven third-party platforms that provide customer experience analytics. These powerful customer analytics platforms offer real-time actionable insight to decision-makers so they can drive impactful decisions. 

By identifying the necessities of your CX analytics program, you can commit to your investment idea for CX workouts in the organization.

2) Analyze the Result of Investment in CX Analytics

After financing your CX analytics initiative, you need to research how and what impact the investment had on your business returns. A brand can analyze the effect of CX investment through various CX metrics. 

Lead indicators such as NPS (Net Promoter Score), Customer satisfaction (CSAT), Customer Effort Score (CES), and customer churn rate guide you in determining the CX program performance. These standard metrics deliver detailed background information on customer-related operations.

Collection and investigation of the information available reflect customer behavioral activities at the touchpoints. With that, you can derive the potential conversion rate and decide to further modify the investment in the CX activity depending on the negativity or positivity of the outcomes fetched.

3) Bring Necessary Changes to Investment Plan

All CX operations are advancement cycles as they strengthen customer experience with every iteration. The catch is to keep an eye on the necessary revisions required in allocating funding to such operations. 

A brand can make budget corrections on the basis of goals set while bringing the CX program into motion. If the company goals do not meet as planned, cut down the fund allocation keeping in mind the amount of impact that particular CX project is creating on the business.

Top executives can keep supplementing the funds for the CX project that brings positive influences on business infrastructure and customer-focused exercises when every loop start. 

So, following CX methods that work as an asset for a company and its financial goals should be well-funded to uphold successful operations. Equally, the fair CX investment with the backing of customer experience analytics always produces expected profitability with envisioned customer experience results. 

5 Practices Influenced by CX Analytics For Better ROI 

Undoubtedly, CX analytics deliver unlimited benefits, and one prominent of all is a better ROI. CX approaches used to deliver better customer experience become defining factors for the financial growth of an organization. Monitoring and balancing the CX efforts with customer analytics on an appropriate trail push your company to achieve its monetary ambitions faster.

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Here's how 5 customer-driven practices influenced by CX analytics aid the financial goals of an organization -

1) Identifying Target Audience

Customer relationship with the company is elemental enough as it assists in measuring the investments and returns on CX endeavors efficiently through CX metrics. Consequently, it is vital to identify and connect with the right set of audiences to make the estimation precise. 

CX analytics make your system reliable by generating new insights on various data sets covering different aspects of customer segments. A brand can categorize the customers by location, media interaction, and standard components found in your industry work. It allows the identification of the sections providing the most and the least profit. The brand can scale its work in the most profitable segment and look for the flaws to resolve in the least one. 

Customer analytics lets an organization conduct a deep and focused analysis of the imperfections of its product and entitle it to act immediately on the urgent changes customers desire, resulting in higher CSAT scores. Ultimately, creating a happy customer the token of revenue growth for the organization.

2) Customer Acquisition and Retention

Actions taken on the grounds of customer experience analytics entice the highest-value customer closer to your offerings. It furnishes tangible benefits that make consumer acquisition and retention economical by generating efficient routes to reach loyal customers at a lesser investment cost. 

Moreover, your company can boost sales using customer journey analytics. It equips your marketing team to target potential customers with customized proposals. As a result, consumers shift into the next step of the sales funnel every time they interact with the brand at the point of contact. 

Delivering the right services endorsed by customer experience analytics lessens the money input than before and increases the money generation as marketing becomes more effective. It raises the customer acquisition and retention rate, which increases the ROI. 

3) Customer Service Automation

A Gartner report finding says that by 2024, organizations can lower their business operation costs by 30% by incorporating hyper-automation technologies with redesigned operative strategies.

Advanced analytics facilitate automation of every facet of customer service involving customer data. Regulating the solutions to customer queries becomes more structured through automated interaction reinforced by CX analytics. 

AI-powered customer experience analytics qualify leads by thoroughly examining customer data. It enables brands to develop personalized recommendations for targeted customers who are more likely to accept and put their money into your product.  

For instance, chatbots are robust customer interaction commodities trained for customers using customer data and analytics. They provide real-time responses to the customer for the questions they have regarding the product. Taking customer intake, chatbots also automatically promote products and services after analyzing the behavior and requirement of the customer.

CX analytics eliminates a lot of manual work and saves more capital as automation through customer data analysis is cheaper than deploying a human workforce.

4) Product Improvement and Innovation

Customer experience analytics are ears to the Voice of the Customer (VoC). A brand can listen to and reevaluate customer needs with much ease. 

CX analytics pinpoint exact product modifications and inventions that can fetch heavy returns for a company. Technologies like Artificial Intelligence (AI) and Machine Learning (ML) let you segregate customer feedback into three categories that are positive, negative, and neutral feedback. Viewing the analyzed customer data from different angles shows the flaws that need improvement and a broader view of features that can complement existing ones.

Customers are ready to pay even if the margin increases for the improved and innovative product. CX analytics is a way to enhance margins and income increment.

5) Coupling CX Metrics to Financial Upshots

CX metrics play a pivotal role in the long-term revenue growth of an organization. It lends a hand to companies in studying drivers that attract customers to the product. 

For example, a Clootrack report on Customer Experience Analysis Of D2C Beauty and Cosmetic Brands in The USA mentions five key factors that compel a customer to buy a cosmetic product from a brand. With the assistance of CX analytics, Clootrack analyzed millions of customer reviews that revealed the color of the makeup product is the number one driver of customer experience. In a similar manner, ease of use, design and looks, effect longevity, and price ranked second, third, fourth, and fifth, respectively. 

Working on the right segment increases the sales and the frequency of customers making repeat purchases, which feeds positive outcomes for CX metrics like CLV, NPS, CSAT, and retention rate. These activities result in higher revenue with overall operational growth as the financial goals align well with the outputs of CX analytics.

Quantify Financial Benefits of Customer Experience Analytics

The utmost critical part of whole investing and getting returns through customer experience analytics is judging the economic development of a company.

A brand must set standards after performing an in-depth market analysis and figure out its position in the industry by comparing its undertaking against competitors. A renowned speaker and sales success coach, Bob Hooey, says, "If you are not taking care of your customers, your competitor will." So, estimate and invest accordingly to gain more customers. 

Research groups and CX analytics service vendors can provide data analysis reports indicating all business metrics for a more reasonable comparison. Trace progress by comparing if or not you have achieved what your competition has already accomplished.

To track the outcomes at the company level, brands can implement targeted trade movements for a small section of customers to test the operations and their financial impact. And keep on enhancing with every repetition.

To Wrap Up

Without a great customer experience, a brand cannot fabricate a powerful impact on customers. Customer experience analytics enriches the business system and its performance, spellbinding the customers to invest in your product. It enables you to aim at the right customers with numbers validated by CX metrics.

Customer-oriented practices, such as determining the target audience, customer retention and acquisition, customer service automation, and many more, are affected immensely by customer analytics. CX analytics requires less investment and gives better returns if positioned adequately in a business strategy.  

Interpreting the actions taken after considering the customer experience analytics consistently results in accomplished financial goals. 

Read More: - Data-Driven Decision Making To Improve Business Outcomes