What Is a Digital Twin?

Aksheeta Tyagi at Sprinklr looks into how digital twins can help you connect more deeply with your customers and compel you to rethink your take on CX.

Fancy a world where your customer experience is not just enough, but beyond?

The window to it is through your customer’s mind.

Imagine being able to create a virtual version of each customer, a digital twin that mirrors their every move, preference and decision.

This digital twin could live in a detailed virtual world, replicating their home, workplace and everyday environments. It interacts with your products and services, providing you with a wealth of information about their behaviors and needs.

Think of the power this gives you.

You could anticipate what your customers want before they even realize it themselves. You could test and try your offerings, messaging and hypotheses on the digital twin of your customer before going live.

From proactive customer service to customer experience management – everything will be risk-free and data-driven, rooted in customer-centricity.

What Are Digital Twins?

Digital twins in customer experience are virtual replicas of your customers, reflecting their behaviours, preferences and interactions.

Having a digital version of each customer allows you to test them under varied digital scenarios, revealing behaviours and customer insights that were inaccessible to you earlier.

With a digital twin of your customer, you can test and optimize your strategies in a virtual environment before applying them in real life.

Let’s understand the concept with a relatable example.

Reducing shopping cart abandonment is a common goal many online retailers strive for. Now, using a digital twin of a customer’s journey, you can visually map the entire process from browsing to checkout.

The digital twin can help identify the exact point where the customer drops off, helping you with root cause analysis of the problem and possible fixes.

If the complex checkout process frazzles the twin, you can work on simplifying that and hopefully bring down your drop-off rate.

By making such adjustments, the company can see how customers respond and fine-tune the experience before rolling it out live.

You can also test various retargeting ad variants to see what catches the customer’s eye and brings them back to your store.

This way, you create a smoother, more satisfying shopping journey and effective ad campaigns that keep customers coming back.

Did you know?

You can also create digital twins for your brand, teams and employees that can power conversations, take decisions, curate workflows and execute tasks at scale with unmatched speed, accuracy and efficiency.

3 Top Benefits of Digital Twins in CX for Businesses

Before you jump into a project head long, running trials is always a good idea. And that’s exactly what digital twins help you figure out. Here are the benefits of using digital twins to elevate your CX.

1. Experiences That Feel at Home

Customers today expect experiences that feel tailor-made just for them. In fact, over seven in 10 customers choose, recommend or pay more for brands that weave personalized experiences.

Digital twins shine in this area by creating a virtual model of each customer, allowing you to understand their unique behaviors and preferences deeply.

When you imbibe what’s it like to be your customer, you can personalize every interaction with them to a much higher degree.

For example, imagine an online clothing retailer.

A digital twin of a customer would mirror a real customer’s browsing history and even social media activity to reach outfits they might like.

If a customer frequently buys athletic wear, the digital twin can recommend the latest sports gear, or if they prefer a particular brand, it can highlight new arrivals from that brand.

2. Products That Are Sharp and Slick

Digital twins help you develop better products by providing a dynamic, real-time simulation of how customers use and interact with products.

Instead of waiting for post-launch feedback, you can observe and analyze customer behavior during the development phase itself. This means you can identify potential usability issues and opportunities for improvement before the product hits the market.

Introducing HereAndNow, a watch brand I created to help put this into perspective.

The brand has varied cohorts of audiences – athletes, tech enthusiasts and casual wearers. Now, to understand how each of them would interact with the device, HereAndNow creates digital twins of all these customer personas.

These simulations can reveal insights, such as which features are most popular, where users encounter friction or how battery life holds up under different usage patterns.

For instance, if athletes frequently use the GPS feature, the digital twin might reveal a need to optimize battery life during intense tracking sessions.

Meanwhile, tech enthusiasts might focus on customizing watch faces, indicating a demand for a more intuitive personalization interface.

This detailed insight helps developers refine the product, ensuring it meets specific user needs and delivers a top-notch experience right out of the box.

3. Nipping Problems in the Bud

If you like jargon, then this means predictive troubleshooting. Digital twins can even empower you with an ability to nip potential problems in the bud before your customers even run into them.

So now, Kiera, your customer, is a proud owner of a smart refrigerator, thrilled with its cutting-edge features.

Her smart fridge’s digital twin monitors real-time data from various sensors embedded in the appliance. These sensors track temperature, humidity, compressor performance and even the frequency of door openings.

Nice to have a tiny fridge guru inside, always vigilant, isn’t it?

One day, it notices the temperature rising and the digital twin begins to play detective – analyzing data and comparing it to historical patterns. It finds the compressor is overworking due to dust buildup on the condenser coils.

Before Kiera even knows there’s an issue, the digital twin sends a notification to her smartphone and your service centre. The alert suggests checking the condenser coils for dust.

Kiera follows the advice and sure enough, finds a dusty mess. A quick cleaning later and her fridge is back to perfect cooling.

This predictive troubleshooting not only saves her fridge from a complete shutdown but also spares both of you a costly service visit. Kiera’s smart fridge stays efficient, her groceries remain fresh – and who knows? She might even give you a shoutout on her socials!

While these benefits are surely exciting, there are a few challenges you might run into.

Here are a few questions you need to ask yourself before you implement digital twins.

Is Your Data Secure?

Handling vast amounts of sensitive customer data with digital twins raises significant concerns about data security and privacy. Here are some solutions:

• Follow regulations like GDPR or CCPA.
• Use robust encryption for data in transit and at rest.
• Keep security protocols updated to combat cyber threats.
• Perform regular security audits and vulnerability assessments.
• Aim for certifications such as ISO/IEC 27001 to reassure customers.
• Invest in advanced threat detection and response systems.

Have You Factored in the Developmental Cost?

Developing digital twins requires substantial investment in technology, skilled personnel and infrastructure. To optimize these development costs:

• Start with a pilot project to validate benefits before full-scale implementation.
• Use cloud-based solutions to reduce the need for expensive on-premises hardware and provide scalable resources.
• Partner with technology providers offering flexible pricing models.
• Look for grants and subsidies for innovation and technology adoption to offset some expenses.

Have You Thought About Change Management?

Adopting digital twins means big changes in business processes and culture, which can face pushback from employees.

• Make sure everyone understands the benefits. Show how digital twins will make customer experiences better and boost efficiency.
• Give your team the skills they need with comprehensive training programs to smooth the transition.
• Set up a dedicated team to guide the change, address concerns and promote a culture of innovation.
• Involve your employees and ask for their feedback throughout the process. This creates a sense of ownership and reduces resistance.

How to Deploy Digital Twin in Customer Experience

While the application of digital twins largely depends on your industry and your specific use cases, here is your overarching go-to guide on deploying digital twins in customer experience.

Data Gathering and Integration

Collect data from all relevant sources such as interactions on all customer service channels, transaction histories, social media and IoT devices. Ensure data from various platforms and systems is unified into a single, comprehensive dataset.

Pro Tip: For higher customizability, choose a vendor that uses advanced Retrieval-Augmented Generation (RAG) techniques to create digital twins.

It should allow you to train your digital twin on website URLs, assets in the Digital Asset Manager (DAM), Knowledge Base and FAQs to ensure responses and actions are contextualized to your brand.

Data Cleaning and Enrichment

Clean the collected data to remove any inconsistencies, duplicates or errors. Enrich the data by adding context and enhancing it with external data sources for a more comprehensive view.

Can’t let accuracy slip by!

The data you use to build your digital twin needs to be as reliable as you can make it. Here are a couple of best practices to give you a head-start:

• Implement automated validation rules to detect and correct anomalies in real time, ensuring data consistency and accuracy from the outset.
• Use ETL (Extract, Transform, Load) tools to integrate data from multiple sources, creating a unified dataset that accurately reflects the real-world system.
• Maintain detailed metadata for each data point to track its origin, alterations and usage for better data traceability and quality control.

Profile Creation

Create detailed digital profiles of your customers using the cleaned and enriched data. This includes demographic information, behavior patterns, preferences and past interactions.#

Knowing your customer inside out is mostly a myth, unless…

…you use a Unified Customer Experience Management (Unified-CXM) platform. To create the finest digital versions of your customers, you need to know them like the back of your hand.

A Unified-CXM tool lets you do that since it helps you record, store and access every single interaction that takes place between you and your customer online in one cohesive space.

Whether it’s a tweet directed at you or a WhatsApp text inquiring about your new campaign, you can only create water-tight, consolidated profiles of your customers if you have the reach and ease of meeting them where they are.

Predictive Modeling

Develop predictive models using ML algorithms to forecast how customers behave, what they prefer and potential issues they run into. These models are essentially the brains behind your digital twins, helping you stay one step ahead of your customers.

You could start by choosing the right algorithms for what you want to achieve.

Regression models work great for predicting things like customer lifetime value, while classification algorithms help identify customer segments or flag churn risks.

Visualization

Create interactive and intuitive visualizations of the digital twins to change complex data and predictive models into understandable, actionable insights. Intuitive visualization helps stakeholders easily interpret and interact with the data to create effective digital twins.

Testing and Refinement

Test the digital twins in various scenarios to ensure they accurately reflect real-world behaviors and conditions. Use A/B testing to compare different strategies and outcomes.

Use Cases of Digital Twins in the CX World

Now, I will discuss the utility of digital twins in the CX world and how they work throughout the journey to boost CX for specific personas.

• Service-oriented
• Retail
• Finserv

1. Service-Oriented Enterprises: Hospitality

• Use case: Personalized guest experience
• Persona: Adrian is a 35-year-old doctor who travels frequently for both work and leisure. Adrian prefers a health-conscious lifestyle, is a teetotaler, enjoys spa treatments and loves exploring local cuisine.

Pre-Arrival

Before Adrian arrives, the digital twin reviews his past stays. Knowing he prefers a health-conscious lifestyle, the room is stocked with healthy snacks and drinks. The mini bar is customized to exclude alcohol and includes a selection of premium mocktails.

Check-In

Adrian opts for digital check-in using the hotel’s app, which his digital twin has streamlined for efficiency, recognizing his preference for quick, hassle-free processes.

During the Stay

• Dining: The digital twin knows Adrian loves local cuisine but prefers health-conscious options. It sends personalized food suggestions and offers discounts on healthy, local dishes.
• Spa services: Given Adrian’s interest in spa treatments, the digital twin highlights special packages and offers personalized discounts on services he’s enjoyed in the past, such as deep tissue massages and yoga sessions.
• Room preferences: The room is set to his preferred temperature and the digital twin ensures the hotel’s smart system adjusts the lighting to his liking upon entry.
• Activities: Adrian’s digital twin suggests local activities and events that align with his interests, such as city tours focusing on local cuisine or fitness events like morning yoga in the park.

What Impact Does the Digital Twin Leave?

Hyper-personalization is not an overstatement of what Adrian experiences during his stay. The thoughtful touches, like a mocktail menu and personalized spa sessions, make Adrian feel uniquely valued. He’s more likely to return to the hotel and recommend it to others.

2. Retail: Online Apparel Store

• Use case: Optimizing returns and refunds
• Persona: Sarah is a 28-year-old fashion blogger who loves experimenting with different styles and frequently shops online. She values swift customer service, especially when dealing with returns and refunds.

Purchase Behavior

The digital twin analyzes Sarah’s buying patterns and identifies items she frequently returns. If she often returns shoes due to size issues, the twin suggests more accurate sizing guides or recommends brands that fit her well.

Return Prediction

When Sarah makes a purchase, the digital twin assesses the likelihood of a return. For items flagged as high-risk for returns, the twin prompts the retailer to include a pre-paid return label and streamline the return.

Return Process

If Sarah decides to return an item, the digital twin guides her through a hassle-free process, providing clear instructions and instant updates. It also suggests alternative products based on her preferences.

What Impact Does the Digital Twin Leave?

Sarah enjoys an effortless shopping experience with easy returns, making her more confident in her purchases.

3. Financial Services: Bank

• Use case: Fraud prevention and security
• Persona: Linda is a 55-year-old investor who prioritizes security and privacy in her financial transactions. She’s wary of scams and values advanced security measures to protect her assets. Her digital twin is created by integrating her transaction history, typical financial behaviors and security preferences.

Fraud Detection

The digital twin profiles typical scammer behaviors by analyzing previous fraud cases. It monitors Linda’s account for any unusual activity, such as multiple small transactions designed to avoid detection or sudden large transfers.

Real-Time Alerts

If the digital twin detects suspicious activity, it immediately alerts Linda and the bank’s security team. For instance, if an unauthorized device attempts to access her account, Linda receives a prompt notification to verify or block the activity.

Enhanced Authentication

The digital twin enhances security by integrating with multi-factor authentication systems. When Linda logs in, the twin ensures additional verification steps are in place if the login attempt deviates from her usual patterns.

Frequently Asked Questions

What Are the Future Trends and the Evolving Role of Digital Twins in Customer Experience?

Here are a few future trends and the evolving role of digital twins in customer experience:

• Beyond manufacturing, the service and IT industries are rapidly adopting digital twins, with a significant top-down push.
• Fusions with technologies like 3D modeling and AR/VR will surely boost digital twin-led CX.
• Combining generative AI with digital twins will improve CX with real-time data optimization and analysis.

How Do Digital Twins Contribute to Personalized Customer Experiences?

Digital twins mimic your customers’ behaviors and preferences, letting you tailor your products, services and interactions to what they really want, making everything feel more personal and spot-on.

What Are the Ethical Considerations Associated With the Use of Digital Twins in CX?

The ethical considerations associated with the use of digital twins in CX are:

• Keeping customer data safe and private
• Getting clear consent from customers
• Avoiding any biases in your data analysis
• Being transparent about how you’re using customer information

How Often Should Digital Twins Be Updated to Reflect Accurate Customer Experiences?

Keep digital twins updated in real-time or at least regularly, like daily or weekly, to make sure you’re always reflecting the latest customer behaviors and preferences.

How Do Digital Twins Integrate With AI, Machine Learning, and IoT to Enhance CX?

Digital twins use AI and machine learning to analyze and predict customer behavior, while IoT devices provide real-time data streams, together creating a dynamic, responsive and personalized customer experience ecosystem.

This blog post has been re-published by kind permission of Sprinklr – View the Original Article

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Call Centre Helper is not responsible for the content of these guest blog posts. The opinions expressed in this article are those of the author, and do not necessarily reflect those of Call Centre Helper.