DEEP ANALYTICS

Optimize your Targeting Strategy & Maximize Results

Make accurate, data-driven decisions with AI & deep analytics

Examine customer segments and refine your targeting with predictive analytics

Identify the best strategy with smart optimization

Define the constraints of your new offer or acquisition campaign and then leverage linear programming and predictive analytics through Daedalus.AI, which runs a simulation and suggests the next steps needed to optimize your program.

Make accurate predictions by combining parameters

Combine data from several parameters such as the probability of customers responding to a specific offer, interacting with the program’s events and the program’s own redemption channels, for better decision making.

Manage your reward catalogue efficiently

Optimize new offers and generate a list of recommended rewards with deep analytics to refill the prize catalogue in an optimal way.

Refine your customer segment analysis

Use Sympan’s machine learning-powered clustering techniques to closely analyze customer segments and campaign data, while automatically excluding outliers to optimize your targeting.

OPTIMIZE CONVERSIONS WITH DEEP ANALYTICS

Understand your customers better to stay ahead of the competition

Smart Insights

Analyze customer purchasing patterns & spot correlations with deep analytics, which convert large data sets into actionable insights faster, to respond to market changes, optimize targeting & maximize conversions.

Retention

Improve the customer experience, fight inactivity and win new customers with deep analytics. Examine how your products or services are used, make better predictions and tailor your offers according to customer needs.

Optimal Potential

Get a full picture of the customer journey with deep analytics. Identify unmet needs, uncover friction points and explore new product ideas or marketing strategies to acquire customers and grow profits.

Customer Value Management

Automate and optimize your whole campaign planning process, leverage machine learning to evaluate customers’ probability to churn and follow suggestions to retain them, while increasing satisfaction and loyalty.

Next Best Offer

Fight churn and boost conversions with Daedalus.AI’s Next Best Offer feature, which combines data from multiple sources and uses machine learning and predictive analytics to suggest the next best action for each customer.

Loyalty

Improve the effectiveness of your loyalty programs by offering personalized rewards based on data-driven insights, engaging customers with gamification and constantly optimizing offers to ensure you always meet their needs.

Amplify engagement & enhance your customer experience today!

FAQs

What is deep analytics?

Deep analytics is a sophisticated approach to analyzing data that goes beyond surface-level insights. By utilizing advanced techniques such as predictive analytics, deep analytics enables businesses to forecast future trends and outcomes based on historical data and current market conditions. This predictive capability empowers organizations to make informed decisions, optimize processes, and stay ahead of the competition. By segmenting customers based on demographics, behavior, preferences, and more, businesses can tailor their products, services, and marketing efforts to meet the specific needs of each segment. This personalized approach enhances customer satisfaction, fosters loyalty, and drives revenue growth. In summary, deep analytics empowers businesses to unlock the full potential of their data by leveraging predictive analytics, customer segmentation, and retention strategies. By harnessing the insights derived from deep analytics, organizations can drive strategic decision-making, enhance customer experiences, and achieve sustainable growth in today’s competitive landscape.

How can deep analytics benefit your business?

Deep analytics empowers businesses to make informed decisions, enhance customer experiences, and drive growth in today’s competitive landscape. More specifically it offers:

Predictive Insights: Forecast future trends and outcomes to make proactive decisions and stay ahead of the competition.
Customer Segmentation: Tailor marketing and products to specific customer groups, boosting satisfaction and loyalty.
Retention Strategies: Identify churn patterns and implement targeted initiatives to retain valuable customers.
Optimized Operations: Streamline workflows and reduce costs by identifying inefficiencies and bottlenecks.
Market Segmentation and Expansion: Identify new markets and opportunities for growth based on market trends and competitor insights.
Risk Management: Mitigate risks by analyzing market volatility and internal factors to develop effective mitigation strategies.
Innovation and Product Development: Drive innovation and enhance products by analyzing customer feedback and market research.

What are the main benefits of predictive analytics?

Predictive analytics offers several key benefits for businesses:

Anticipate Trends: Predict future trends and outcomes, enabling proactive decision-making.
Enhanced Customer Insights: Understand customer behavior and preferences to tailor marketing strategies and products.
Optimized Operations: Identify inefficiencies and streamline processes to improve productivity and reduce costs.
Improved Risk Management: Identify potential risks and opportunities to mitigate losses and capitalize on market shifts.
Increased Profitability: Drive revenue growth by targeting high-value customers and optimizing resource allocation.

What are some examples of predictive analytics?

Predictive analytics finds application in various domains, including:

Financial Services: Predicting credit risk and fraud detection.
Retail: Forecasting demand and optimizing inventory management.
Healthcare: Predicting patient outcomes and optimizing treatment plans.
Marketing: Predicting customer behavior and optimizing marketing campaigns.
Manufacturing: Predicting equipment failures and optimizing maintenance schedules.