The digital twin of the customer is a virtual representation of your customers.
Ask them questions.
Test marketing campaigns before they go live.
Develop products with direct input.
Understand problems before they arise
Mnemonic AI’s digital twin of the customers impersonates your customers: With all their personalities, needs, pain points, and wants.
The AI reacts to your inquiries just as a human would. 24 hours a day, 7 days a week.
Combined with analytical capabilities and generative features of state-of-the-art AI for end-to-end workflows.
Don’t call it chatbot. It’s a digital twin of your customers
What does that mean? While the interface looks like a chatbot, the digital twin impersonates real customers with all their beliefs, fears, wants, needs, and personalities. It is not one large language model trained for everyone. It is an agent just for you.
Why it makes a huge difference?
When you use a popular chatbot, you get answers from a gigantic dataset.
Does it make the answers more correct? No. It allows the system to be very fluent in its language. And frankly speaking, fluent in making things up.
A digital twin knows everything about your customers. It represents that knowledge in an accessible form via conversation. The digital twin quotes source data for any answer, so it is easy to check if it fabulates or not.
Secret Sauce
We at Mnemonic AI have spent the last years researching how we can make belief systems, wants, and even personality and psychology of customers more accessible with AI.
The results of this research are implemented in our digital twin.
It is supercharged with all the psychographic and demographic analyses you possibly want to run on your customers, enabling you not only to talk to data but also to make data come to life in a virtual digital twin of your customers.
“I want to talk to a customer who is at the beginning of their career and is open to innovations based on their personality.”
“Name three features you are missing the most from our product?”
“Write me three new ads for each psychographic customer segment in Q3.”
The Digital Twin of the Customer impersonates your customer’s:
- Personality
- Values
- Demographics
- Needs & Wants
- Pain Points
Choose from any customer segment or let the AI create new segments and select the personalities and psychographics you want to focus on.
You can ask it everything you want to know or delegate tasks to the digital twin, like writing ad copies or analyzing data.
End-to-end usage for Marketing & Sales
Warp 9 Mr. Worf! Accelerate your marketing and sales campaigns to lightning speed. Go from unstructured data to running your personalized and targeted campaign in minutes.
Let’s say you are at the start of a marketing campaign; in front of you is a pile of unstructured data. Perhaps some customer feedback, some sales data, some marketing data.
To analyze all that will take days. But what if your customers could tell you what they want to see from you?
Step 1: Create customer segments on all data available to you.
Step 2: Create sub-segments based on the customer’s spending habits in Q3
Step 3: Subsegments 1a and 2c should be targeted with video ads to create awareness of our new product. Write scripts for a 30-second video ad based on the personality traits of the subsegments.
Step 4: Write 10 Google ads based on the personality of the subsegments to amplify the effect of the video ads.
Break: Make me a coffee. Damn, not working. I’ll make it myself as I have just finished the week’s work in five minutes.
Step 5: Analyze the web analytics data and see which ad brings users to our side that interact the most with our content.
Step 6: We want to target the users who spend the longest on our landing page. Write a remarketing ad that has newsletter signups as the target.
Step 7: Write me three newsletters for these users. Make recommendations for images for the newsletter based on the customer’s psychographics.
Accelerate your work End-to-End
With the Digital Twin of the Customer
End-to-end usage for Product Development
Develop a complex chemical product, compare it to competitors, and explain it to marketing and C-level. And make it snappy!
Magic dwells in every beginning. That’s what Herman Hesse said.
Not necessarily if you have to develop a complex chemical product and explain why it is awesome. At least without the digital twin.
With the digital twin? Magic.
Step 1: Give me ten features customers want to see from our products.
Step 2: Check sales data, which claims come from the best customers. Give me the top five.
Step 3: Check them with legal, if they are medical claims, we cannot fulfill.
Step 4: Check the product descriptions of our competitors’ products. See which products have the features our customers want to see.
Step 5: Compare this list with our competitors’ list. Highlight ingredients and chemicals that give us a unique selling point.
Step 6: Look at our purchase data and give me the numbers of what the chemicals will cost to produce the product.
Step 7: Write an executive summary for C-Level. Include the size of customer segments, historical purchase data, and costs for purchasing the necessary chemicals.
Step 8: Create a comprehensive description of the medical claims and five example ad copies for the marketing department so that they get an understanding of what we are trying to do.
Talk to the Digital Twin of Your Customer now!
Experience the true power of AI
What you get
✔ Psychographic impersonation
✔ Real-time answers to complex questions
✔ No Hallucinations
✔ Data source quoted
What you do not get
✕ Run-of-the-mill answers
✕ Fabulated answers but polished
✕ No way to trace the source material
✕ One size-fits-none approach
What our customers are saying
This solution is poised to revolutionize how businesses understand and engage with their customers via its extensive features with scalable reach.
Orquida H. – Customer Analytics Manager
Mnemonic AI gathers intelligence on customers helping you to generate actionable insights from your customer data so as to make informed business and marketing decisions.
Joseph K – Small Business
I would recommend Mnemonic AI to anyone looking for advanced customer intelligence.
Christopher M. – UX Specialist
I was really impressed with the level of detail and the specificity of insights and recommendations that Mnemonic Ai can generate. Especially in the time line and at the price point they offer.
Julie M – Enterprise
Use-Cases
Every organization and department can benefit from the digital twin of the customer. The sample use cases below show how easily data can be accessed and distilled:
Marketing
- Give me the three largest customer segments
- Analyze their personalities
- Give me three ad examples based on the personality of segment 1
- Write me a newsletter targeted on the personality of segment 2 and product X
Market Research
- We have three products A, B, C, and ad copy 1, 2, 3. Which product ad copy is the most relevant for segments I, II, II
- I have five newsletters. Which should I send to my segments based on their personality?
- Which personality traits have all of our customers in common that bought for at least 500$ in the last three months?
Product Research
- What are the key features of our product?
- What are the most annoying attributes of our product?
- Which competitor features would you like to see in our product?
- How do you use our product?
- What are problems with our products that our competitor’s customers do not have?
Business Intelligence
- Which customers have spent the most in the last three months?
- Which segment buys at the highest frequency?
- Which products do segment 3 of our customers buy together?
Customer Intelligence
- What are our customers’ personality traits in November?
- How much revenue did each segment make?
- Based on their personality, how do I write a compelling Facebook ad?
Advertising
- Analyze my ads and write me an ad for product A that combines the most successful attributes of our ads.
- Write me a script for a 30-second TV spot for the customers that have spent the least money in the last 30 days but belong to the top tier in customer lifetime value.
Request Demo
Let’s go! Request a demo to the Digital Twin of the Customer today ➟ Lightning speed awaits!
What is a digital twin?
The concept of a “digital twin” originated at NASA during the 1960s as a dynamic representation of the Apollo mission, serving as a “live model.” Following the oxygen tank explosion on Apollo 13 that damaged the main engine, NASA responded by employing multiple simulators to assess the incident. They expanded the physical model of the vehicle to integrate digital elements, creating the pioneering “digital twin.” This innovation allowed for ongoing data input, modeling the events leading up to the accident for thorough forensic analysis and exploring future steps. Over the past fifty years, NASA and the broader aerospace industry have continued to advance and utilize high-fidelity digital models of physical systems and components, including the challenging environments in which they operate.
The advancements in several key technologies have fueled the evolution of digital twins:
- IoT (Internet of Things): Sensors embedded in physical objects collect real-time data, providing crucial information about the condition, performance, and status of the object. This data is then used to update and refine the digital twin.
- Data Analytics and AI: Advanced analytics and AI algorithms process the collected data, enabling predictions, optimizations, and simulations within the digital twin environment.
- Simulation and Modeling: Using the collected data, a digital representation is created, allowing for simulations and testing of scenarios without affecting the actual physical object or system.
Digital twins have a wide array of applications across various industries:
- Manufacturing: In manufacturing, digital twins are used for predictive maintenance, optimizing processes, and creating more efficient production lines.
- Healthcare: They are used to create digital models of organs or specific body parts for better understanding, diagnosis, and treatment planning.
- Smart Cities: Digital twins help in urban planning, managing traffic flow, predicting city resource usage, and enhancing overall infrastructure.
- Aerospace and Automotive: Digital twins assist in product development, testing, and predicting maintenance needs for aircraft and vehicles.
- Energy Sector: They aid in monitoring and optimizing energy consumption, as well as predicting and preventing equipment failures in power plants.
- Building and Construction: Digital twins are used for creating and managing building models, tracking energy usage, and streamlining construction processes.
Digital Twin of The Customer
Organizations have tried to get a better understanding of their customers since the dawn of time. Customer centricity is more important than ever, but even Customer 365 initiatives have hiccups, as they rely on human number crunching, interpretation errors, and missing data.
The digital twin of the customer is the answer to all these problems. Artificial intelligence makes it possible to solidify and unify all disparate data sources living somewhere in an organization and make the knowledge accessible through an easy interface.
Source data is always quoted, so there is no fear of hallucinations or falsely interpreted data.
The personification of customer segments based on psychographics and demographics enables you to not only use Mnemonic AI’s digital twin of the customer to gain access to knowledge but also lets you rapidly prototype ideas for ads, whole marketing campaigns, or even new products.
Mnemonic AI’s digital twin of the customer can be looped in any business process, from development to sales and service, giving you real-time access to your organizational knowledge and supporting you in making better decisions faster.
This solution is poised to revolutionize how businesses understand and engage with their customers via its extensive features with scalable reach.
Orquida H. – Customer Analytics Manager