Customer Analytics Software Solution
that delights the Marketer, the Data Scientist and IT
Marketers identify personalization opportunities for real time engagement based on data-driven understanding of customer behavior.
Data scientists get a set of rigorous and sophisticated algorithms out-of-box, while retaining the flexibility to explore data and manage custom algorithms.
IT acquires a customer data warehouse and methods to process structured and unstructured data.
Manthan’s sweet spot is advanced customer analytics for retailers. Its robust customer data model underlies prebuilt KPIs and predictive scores, which retailers and other direct-to-consumer brands find alluring.
The Forrester Wave, Customer Analytics Solutions, Q2 2018
Businesses looking for unified set of packaged applications supporting a range of descriptive, diagnostic, predictive and prescriptive analytics should consider Manthan.
– Gartner Magic Quadrant BI & Analytics
Customer Analytics Software Benefits
IMPROVE CUSTOMER SEGMENTATION, TARGETING, RELEVANCE AND ATTRIBUTION BY
Understanding Path to Purchase | Uncovering purchase intents early | Identifying multi-channel behavior
Channel performance
Segment productivity
Retention drivers
Up sell & cross sell opportunities
12 YEARS OF EXPERTISE, 200+ CUSTOMERS, 22 COUNTRIES.
Unifies data from multiple sources to achieve a Single View of Customer
Consumes data from different sources - transaction systems, channels, touch-points and other unstructured sources
Structures the data along merchandise, customers, marketing events
Enables slice-dice of data to understand context – purchase, preference, triggers, root-cause, history
- Social channels
- Devices
- Research, Customer Feedback & Satisfaction surveys
- Customer Service centers
- Historic patterns
- Response behavior
- Contextual interactions
- Stores
- Online
- Mobile commerce
Out-of-Box Descriptive and Predictive Models
- Behavioral Clustering
- Segment customers by demography, purchase behavior, campaing responses and channel prefernces
- Recency, Frequency, Monetary
- Score customers by purchase behavior
- Market Basket Analysis
- Identify preffered and non-obvious affinity between products and brands
- Customer Lifetime Value
- Forecast value of every customer
- Churn Prediction
- Identify customer who are most likey to churn
- Propensity
- Predict the likelihood of a customer behavior like response to campaign, brand and category adoption
Analyzes customer data to understand and predict behavior
Packages all must-have customer analytic algorithms in an easy to consume way
Natively translates marketing hypothesis into models to make it suitable for use by marketers
Manages multiple models concurrently to support diverse marketing programs
Arms Marketers with actionable insights for closed loop marketing
Helps understanding of customers profiles, purchase behavior and Engagement Preferences
Enables build of micro-segments using combinations of customer attributes, algorithm outputs and product & purchase preferences
Simplifies tracking of campaign lift, channel effectiveness and marketing ROI and bring accountability and agility to campaigns
Out-of-Box Marketing Metrics and Real Time Dashboards
- Role-based analytics
- Serves unique needs of marketing and business stakeholders
- List Management
- Prepares targeted list of consumers for marketing campaigns
- Algorithm output analysis
- Instantaneously consumes outputs of algorithms for contextual analysis
- Ad-hoc exploration
- Enables the use of discovery workbench to perform root cause analysis12
- Source of clean, connected, aggreagated customer data
- Platform for data exploration, hypothesis testing and data prepartion
- Wizard for quick algorithm development
- In built model accuracy improvement techniques like outlier treatment, missing value treatment, variable significance testing, train and test approach.
- Ability to import and run PMML models for custom analysiss
- Execute API based algorithms
- Automated customer scoring schedule management
- Marketing execution through advanced list management
- Publish scores to business user dashboards
Provides Data Scientists with the right platform and flexibility
Leverage customer data model and single view of customer to carve out a slice of clean data for custom analysis
Use easy to build model workflows to experiment with the data and various modeling techniques to build effective models.
Seamlessly import exisiting models using PMML, score customers and publish results
Switch on
2 hours to #OmniPresence
Profile your customers. Understand their expectations. Devise cross-sell opportunities. Execute your personalization campaigns. On the customer’s preferred channel.
Setup
13 years of experience translated into packaged applications tailored for specific functions, delivered over the cloud. Ready to use on day 1.
Load
Pre-built connectors and defined processes drive faster self service data loading into a built for analytics marketing data model. Unify data from external and enterprise systems.
Go-Live
Architected for use by business users, with ample self service and on-demand help to accelerate adoption. First analytical view in 2 days.
5-LAYER APPROACH TO SECURITY
Data
No PII (Personal Identifiable Info), Encrypted Blocks, Secure Data in motion and rest
Application
Secure design and deployment principles, multi-factor authentication
Network
Hardened Network, Secure Access, VPN, Multi-layer Authentication
Facilities
Physical and environmental security with multi-factor access controls
Process
Standards-based Adaptive Operational Process
View Product Videos
Expand Share of Customer Wallet
Expand discovery range, drive category and brand penetration based on a holistic understanding of customer lifestyles, stages, and behaviors.
Hyper Targeted Customer Retention Demo
Identify customers at risk and prevent attrition with automated retention campaigns with the right mix of offers and channels.
Increasing Basket Value of Customers
Encourage your customers with targeted offers (cross-sell) based on past purchase insights to maximize basket value in every trip.