How Customer 360 Works? Run all the campaigns in parallel by calling the on-demand prediction models. Engagement campaigns need not wait for acquisition campaigns to complete. A retention program need not be sequenced strictly after a cross-sell program. Customer 360 allows you to execute programs at the right time and not wait for one campaign to complete to kickstart the other.
The customer moves across multiple phases of the journey and gives feedback. Capture each customer’s action and non-action data points in big data systems to enrich the customer profile.
Data from disparate sources like CRM, POS systems, web and app analytics tools, campaign managers, and marketing automation tools can be integrated into a data lake and transformed to provide insights.
Customer insights stand-alone are just like a recipe on paper. They are advantageous only if the right ingredients are provided at the required stage in the required shape. We help you integrate the insights (scores, lists, characteristics, metrics) into your systems:
1. Display the prospect’s risk score prominently in the application panel.
2. Show the buyer’s preferred categories directly on the POS terminal.
3. Provide a list of customers along with personalized messages in the messaging systems.
4. Offer customer segments and detailed insights to campaign managers.
5. Access customer dashboards instantly through your web browser.
We empower you to extract actionable insights from your customer data with cutting-edge techniques and advanced technologies. Here are some of our key services:
Value Proposition – Our services provide actionable insights to address the following key questions:
1. Whom to acquire?
2. What to sell?
3. When to sell?
4. What are the segments?
5. How to personalize?
6. How long will the customer be with us?
7. What is the customer’s lifetime value?
8. Whom to retain?
With our expertise in advanced analytics and cutting-edge technologies, we empower you to make informed decisions, optimize customer interactions, and drive business growth. Transform your customer analytics journey, and deliver extraordinary experiences and support with Indium’s customer 360 services!
Indium's expertise in advanced analytics algorithms.
We utilize convolutional algorithms to analyze and extract features from structured and unstructured data, especially effective in image and video analysis.
We leverage recurrent algorithms to process sequential data and capture temporal dependencies, making them ideal for tasks like natural language processing and time series analysis.
Indium applies linear regression algorithms to model and predict numerical outcomes, providing insights into the relationships between variables.
We utilize the K-means clustering algorithm to group similar data points, enabling effective segmentation and pattern discovery.
We use hierarchical clustering algorithms to identify nested clusters and explore the hierarchical structure of your data, which is ideal for understanding complex relationships.
We utilize collaborative filtering algorithms to make personalized recommendations based on user behavior and preferences, enabling effective targeting and cross-selling..
Elevate Your Customer Experience Today!
Experience the power of our customer segmentation solutions for in-depth analysis. We understand your needs and are here to assist you. Let’s have a conversation.
Reach out to us now and discover the possibilities!Reach out to us now and discover the possibilities!
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