Packaged descriptive, predictive and prescriptive algorithms sit on top of a best-practices backed customer data model to help marketers understand customers’ purchase and digital behaviors, and sharpen personalization and targeting strategies.

Customer Segmentation:Create lifestyle/ life stage and behavioral clusters based on demographics, loyalty engagement, purchase behavior, and promotion response.

RFM Customer Scoring:Score customers on the basis of transactional behav-ior to identify high value customers, value shoppers, loyalists, cherry pickers and disengaged customers.

Association Mining:Identify next best recommendation, bundling, and cross-sell opportunities based on affinities across categories, products and brands.

Churn Analysis:Uniquely predict the probability of every customer to churn. Identify drivers for churn and opportunities to re-engage.

Customer Lifetime Value (CLTV):Calculate the present value of future sales from customers and rank customers based on relative value to appropriately budget and allocate marketing spend.

Propensity modeling:Predict the probability that a customer will respond to a specific promotion, marketing channel or product offer.

Customer360 analyzes customer, transaction, loyalty and campaign data from conventional and digital channels to deliver insightful marketing metrics, which span:

Know Your Customer and Loyalty:Understand every customer’s demographic and behavioral segment’s spread and profile. Assess the health of the loyalty program, effectiveness of acqui-sition programs, rewards accrual and redemption trends.

Purchase Behavior and Product Mix:Analyze spends over time, across customers, prod-uct attributes and store hierarchies. Understand changes or migration in purchase or lifestyle behav-ior. Recognize trends and patterns of basket size, value and constituents within and across customer segments, and product preferences within segments.

Digital Engagement:Combine the behavioral data of your customers on digital channels along with off-line channels to create the unified view of your customers’ journeys. Effec-tively drive conversion on your web and mobile chan-nels by understanding behavior, preferences and content engagement on those channels.

Campaign Analysis and Promotion Analysis:Analyze campaign performance and campaign effec-tiveness for targeted and non-targeted promotions. Understand effectiveness of targeted promotions and engagement channels based on combinations of pre-post analysis and test-control analysis. Get insights into which campaigns and offers drive best results.

.Execute intelligent & relevant promotions across multiple channels in real time to drive increase in footfalls, revenue and customer loyalty.

Machine Learning Based Recommendation Engine:Ensemble modeling approach allows catering to range of scenarios including identification of:• Personalized recommendations • Customers highly likely to purchase a product• Cross-sell recommendations• Accessories recommendations• Similar items• Trending items

Real Time Promotions:Sense and respond to specific customer events at POS, ecommerce and mobile apps with relevant, timely messages. Comprehensive rules engine helps define pre-set response rules for specific purchase events and customer context like past purchases, channel and current product under consideration.

Omni-Channel Campaign Execution:Integrates with multiple channels and systems, like transaction systems loyalty management systems, CRM, mobile app and ecommerce platforms, to maintain centralized view of every customer. Execute promotional and informational campaigns over multi-ple devices and channels.

Touch Governance:Centrally set up controls and thresholds to govern number of times a customer can be contacted across all channels in a defined time period. Configure touch-frequency for each channel and also at a customer level, so mandated marketing programs like newsletters, loyalty program updates are accommo-dated while ensure optimal levels of promotional contacts.

Micro-segmentation:Enables marketers to quickly create micro segments based on a combination of customer demographic attributes, purchase behavior, loyalty program engagement, past promotion responses and channel behavior. Intuitive and easy to use tool allow market-ers to create one time use static segments or dynam-ic segments which are can be kept in synch with changing customer profiles and behavior.

A/B/X Testing:Execute A/B/X tests to identify the ideal creative treatment, headline, copy or channel mix that will elicit the maximum response from the target segment. Identify winners by metrics for open rates, click rates or purchase volume and automate the execution of the winning option to remainder of popu-lation.

ManthanCustomer Analytics

Portfolio

Manthan’s Customer Analytics solutions enable marketers to execute 1-1 personalized engage-ment based on data-driven understanding of customer behavior and path to purchase. The solu-tion integrates context with behavioral insights to create ideal responses for every customer interaction.

The portfolio embeds machine learning algorithms and omnichannel execution capabilities to enable intelligent, contextual and real-time customer engagement. Manthan Customer Analytics is delivered as SaaS, on a secure, scalable and highly available cloud infrastructure.

Transacted Members Distribution

SEGMENT 2, 77,065

SEGMENT 1, 2,860

SEGMENT 5, 3,148

SEGMENT 4,9,081

SEGMENT 3,3,329

Customer Segmentation Snapshot

Transacted Members Count

51,476

41,393

31,311

21,228

11,146

1,063DKCS Under $25,000 $25,000 to

$49,999

Income Band

$50,000 to$74,999

$75,000 to$99,999

Customers Distribution by Income Band

Transacted Members Count

Current Age Band

Customers Distribution by Age Band

29,155

23,675

18,195

12,716

7,236

1,756

Under 20 20 to 25 26 to 35 36 to 45 46 to 6061 to 70

Above 70

Transacted Members Count

Customers Distribution by Gender

62,475

52,004

41,534

31,063

20,593

10,122Female Male

Gender

DKCS

Activating analytics-poweredpersonalized marketing

Drive real time engagement:Understand customer behavior across channels and use that insight to engage with customers with relevant messages. Treat every customer context such as store visit, cart composition, promotion response, coupon burn, ecommerce clicks as a dynamic trigger for personalization. Intelligently and uniquely respond to every customer with next best offer based on past behavior, like-for-like patterns, and marketing priorities.

Expand share of wallet:Identify cross-category / cross-brand affinities and uncover hidden opportunities to expand range, cate-gory and brand penetration, accelerate new product adoption based on an understanding of customer lifestyles, stages, and behaviors.

Increase basket size:Change “cherry picking” behavior with targeted offers based on shopping cart analysis. Maximize purchase value during every touch point by identifying underly-ing category, brand and product adoption propensi-ties and price sensitivity behavior to drive custom-er-specific up-sell and new-product campaigns.

Reduce churn:Identify customers at risk before they defect and proactively take actions to mitigate churn risk. Lever-age statistical algorithms to predict which customers are likely to churn and identify the right mix of offers and channel strategies to proactively engage with at-risk customers.

Out-of-the-box data management, business analysis, and easy to use advanced analytics help you adopt analytics effortlessly and achieve quickest time to value.

Customer and MarketingInsights

Packaged descriptive, predictive and prescriptive algorithms sit on top of a best-practices backed customer data model to help marketers understand customers’ purchase and digital behaviors, and sharpen personalization and targeting strategies.

Customer Segmentation:Create lifestyle/ life stage and behavioral clusters based on demographics, loyalty engagement, purchase behavior, and promotion response.

RFM Customer Scoring:Score customers on the basis of transactional behav-ior to identify high value customers, value shoppers, loyalists, cherry pickers and disengaged customers.

Association Mining:Identify next best recommendation, bundling, and cross-sell opportunities based on affinities across categories, products and brands.

Algorithms

Churn Analysis:Uniquely predict the probability of every customer to churn. Identify drivers for churn and opportunities to re-engage.

Customer Lifetime Value (CLTV):Calculate the present value of future sales from customers and rank customers based on relative value to appropriately budget and allocate marketing spend.

Propensity modeling:Predict the probability that a customer will respond to a specific promotion, marketing channel or product offer.

Customer360 analyzes customer, transaction, loyalty and campaign data from conventional and digital channels to deliver insightful marketing metrics, which span:

Know Your Customer and Loyalty:Understand every customer’s demographic and behavioral segment’s spread and profile. Assess the health of the loyalty program, effectiveness of acqui-sition programs, rewards accrual and redemption trends.

Purchase Behavior and Product Mix:Analyze spends over time, across customers, prod-uct attributes and store hierarchies. Understand changes or migration in purchase or lifestyle behav-ior. Recognize trends and patterns of basket size, value and constituents within and across customer segments, and product preferences within segments.

Digital Engagement:Combine the behavioral data of your customers on digital channels along with off-line channels to create the unified view of your customers’ journeys. Effec-tively drive conversion on your web and mobile chan-nels by understanding behavior, preferences and content engagement on those channels.

Campaign Analysis and Promotion Analysis:Analyze campaign performance and campaign effec-tiveness for targeted and non-targeted promotions. Understand effectiveness of targeted promotions and engagement channels based on combinations of pre-post analysis and test-control analysis. Get insights into which campaigns and offers drive best results.

.Execute intelligent & relevant promotions across multiple channels in real time to drive increase in footfalls, revenue and customer loyalty.

Machine Learning Based Recommendation Engine:Ensemble modeling approach allows catering to range of scenarios including identification of:• Personalized recommendations • Customers highly likely to purchase a product• Cross-sell recommendations• Accessories recommendations• Similar items• Trending items

Real Time Promotions:Sense and respond to specific customer events at POS, ecommerce and mobile apps with relevant, timely messages. Comprehensive rules engine helps define pre-set response rules for specific purchase events and customer context like past purchases, channel and current product under consideration.

Omni-Channel Campaign Execution:Integrates with multiple channels and systems, like transaction systems loyalty management systems, CRM, mobile app and ecommerce platforms, to maintain centralized view of every customer. Execute promotional and informational campaigns over multi-ple devices and channels.

Touch Governance:Centrally set up controls and thresholds to govern number of times a customer can be contacted across all channels in a defined time period. Configure touch-frequency for each channel and also at a customer level, so mandated marketing programs like newsletters, loyalty program updates are accommo-dated while ensure optimal levels of promotional contacts.

Micro-segmentation:Enables marketers to quickly create micro segments based on a combination of customer demographic attributes, purchase behavior, loyalty program engagement, past promotion responses and channel behavior. Intuitive and easy to use tool allow market-ers to create one time use static segments or dynam-ic segments which are can be kept in synch with changing customer profiles and behavior.

A/B/X Testing:Execute A/B/X tests to identify the ideal creative treatment, headline, copy or channel mix that will elicit the maximum response from the target segment. Identify winners by metrics for open rates, click rates or purchase volume and automate the execution of the winning option to remainder of popu-lation.

Manthan Customer Analytics Data Sheet

Packaged descriptive, predictive and prescriptive algorithms sit on top of a best-practices backed customer data model to help marketers understand customers’ purchase and digital behaviors, and sharpen personalization and targeting strategies.

Customer Segmentation:Create lifestyle/ life stage and behavioral clusters based on demographics, loyalty engagement, purchase behavior, and promotion response.

RFM Customer Scoring:Score customers on the basis of transactional behav-ior to identify high value customers, value shoppers, loyalists, cherry pickers and disengaged customers.

Association Mining:Identify next best recommendation, bundling, and cross-sell opportunities based on affinities across categories, products and brands.

Targeting & Personalization

Churn Analysis:Uniquely predict the probability of every customer to churn. Identify drivers for churn and opportunities to re-engage.

Customer Lifetime Value (CLTV):Calculate the present value of future sales from customers and rank customers based on relative value to appropriately budget and allocate marketing spend.

Propensity modeling:Predict the probability that a customer will respond to a specific promotion, marketing channel or product offer.

Customer360 analyzes customer, transaction, loyalty and campaign data from conventional and digital channels to deliver insightful marketing metrics, which span:

Know Your Customer and Loyalty:Understand every customer’s demographic and behavioral segment’s spread and profile. Assess the health of the loyalty program, effectiveness of acqui-sition programs, rewards accrual and redemption trends.

Purchase Behavior and Product Mix:Analyze spends over time, across customers, prod-uct attributes and store hierarchies. Understand changes or migration in purchase or lifestyle behav-ior. Recognize trends and patterns of basket size, value and constituents within and across customer segments, and product preferences within segments.

Digital Engagement:Combine the behavioral data of your customers on digital channels along with off-line channels to create the unified view of your customers’ journeys. Effec-tively drive conversion on your web and mobile chan-nels by understanding behavior, preferences and content engagement on those channels.

Campaign Analysis and Promotion Analysis:Analyze campaign performance and campaign effec-tiveness for targeted and non-targeted promotions. Understand effectiveness of targeted promotions and engagement channels based on combinations of pre-post analysis and test-control analysis. Get insights into which campaigns and offers drive best results.

.Execute intelligent & relevant promotions across multiple channels in real time to drive increase in footfalls, revenue and customer loyalty.

Machine Learning Based Recommendation Engine:Ensemble modeling approach allows catering to range of scenarios including identification of:• Personalized recommendations • Customers highly likely to purchase a product• Cross-sell recommendations• Accessories recommendations• Similar items• Trending items

Real Time Promotions:Sense and respond to specific customer events at POS, ecommerce and mobile apps with relevant, timely messages. Comprehensive rules engine helps define pre-set response rules for specific purchase events and customer context like past purchases, channel and current product under consideration.

Analytical Views

Omni-Channel Campaign Execution:Integrates with multiple channels and systems, like transaction systems loyalty management systems, CRM, mobile app and ecommerce platforms, to maintain centralized view of every customer. Execute promotional and informational campaigns over multi-ple devices and channels.

Touch Governance:Centrally set up controls and thresholds to govern number of times a customer can be contacted across all channels in a defined time period. Configure touch-frequency for each channel and also at a customer level, so mandated marketing programs like newsletters, loyalty program updates are accommo-dated while ensure optimal levels of promotional contacts.

Micro-segmentation:Enables marketers to quickly create micro segments based on a combination of customer demographic attributes, purchase behavior, loyalty program engagement, past promotion responses and channel behavior. Intuitive and easy to use tool allow market-ers to create one time use static segments or dynam-ic segments which are can be kept in synch with changing customer profiles and behavior.

A/B/X Testing:Execute A/B/X tests to identify the ideal creative treatment, headline, copy or channel mix that will elicit the maximum response from the target segment. Identify winners by metrics for open rates, click rates or purchase volume and automate the execution of the winning option to remainder of popu-lation.

Manthan Customer Analytics Data Sheet

Packaged descriptive, predictive and prescriptive algorithms sit on top of a best-practices backed customer data model to help marketers understand customers’ purchase and digital behaviors, and sharpen personalization and targeting strategies.

Customer Segmentation:Create lifestyle/ life stage and behavioral clusters based on demographics, loyalty engagement, purchase behavior, and promotion response.

RFM Customer Scoring:Score customers on the basis of transactional behav-ior to identify high value customers, value shoppers, loyalists, cherry pickers and disengaged customers.

Association Mining:Identify next best recommendation, bundling, and cross-sell opportunities based on affinities across categories, products and brands.

Churn Analysis:Uniquely predict the probability of every customer to churn. Identify drivers for churn and opportunities to re-engage.

Customer Lifetime Value (CLTV):Calculate the present value of future sales from customers and rank customers based on relative value to appropriately budget and allocate marketing spend.

Propensity modeling:Predict the probability that a customer will respond to a specific promotion, marketing channel or product offer.

Customer360 analyzes customer, transaction, loyalty and campaign data from conventional and digital channels to deliver insightful marketing metrics, which span:

Know Your Customer and Loyalty:Understand every customer’s demographic and behavioral segment’s spread and profile. Assess the health of the loyalty program, effectiveness of acqui-sition programs, rewards accrual and redemption trends.

Purchase Behavior and Product Mix:Analyze spends over time, across customers, prod-uct attributes and store hierarchies. Understand changes or migration in purchase or lifestyle behav-ior. Recognize trends and patterns of basket size, value and constituents within and across customer segments, and product preferences within segments.

Digital Engagement:Combine the behavioral data of your customers on digital channels along with off-line channels to create the unified view of your customers’ journeys. Effec-tively drive conversion on your web and mobile chan-nels by understanding behavior, preferences and content engagement on those channels.

Campaign Analysis and Promotion Analysis:Analyze campaign performance and campaign effec-tiveness for targeted and non-targeted promotions. Understand effectiveness of targeted promotions and engagement channels based on combinations of pre-post analysis and test-control analysis. Get insights into which campaigns and offers drive best results.

.Execute intelligent & relevant promotions across multiple channels in real time to drive increase in footfalls, revenue and customer loyalty.

Machine Learning Based Recommendation Engine:Ensemble modeling approach allows catering to range of scenarios including identification of:• Personalized recommendations • Customers highly likely to purchase a product• Cross-sell recommendations• Accessories recommendations• Similar items• Trending items

Real Time Promotions:Sense and respond to specific customer events at POS, ecommerce and mobile apps with relevant, timely messages. Comprehensive rules engine helps define pre-set response rules for specific purchase events and customer context like past purchases, channel and current product under consideration.

Omni-Channel Campaign Execution:Integrates with multiple channels and systems, like transaction systems loyalty management systems, CRM, mobile app and ecommerce platforms, to maintain centralized view of every customer. Execute promotional and informational campaigns over multi-ple devices and channels.

Touch Governance:Centrally set up controls and thresholds to govern number of times a customer can be contacted across all channels in a defined time period. Configure touch-frequency for each channel and also at a customer level, so mandated marketing programs like newsletters, loyalty program updates are accommo-dated while ensure optimal levels of promotional contacts.

Micro-segmentation:Enables marketers to quickly create micro segments based on a combination of customer demographic attributes, purchase behavior, loyalty program engagement, past promotion responses and channel behavior. Intuitive and easy to use tool allow market-ers to create one time use static segments or dynam-ic segments which are can be kept in synch with changing customer profiles and behavior.

A/B/X Testing:Execute A/B/X tests to identify the ideal creative treatment, headline, copy or channel mix that will elicit the maximum response from the target segment. Identify winners by metrics for open rates, click rates or purchase volume and automate the execution of the winning option to remainder of popu-lation.

Manthan Customer Analytics Data Sheet

Comprehensive AnalyticsPlatformAs a SaaS analytics platform, the Customer Analytics portfolio delivers high-performance and data security on very high volumes of data and complex analytical process-ing requirements.

Elastic infrastructure:Proven in environments with over 25 million custom-ers’ records and a transaction volume of over 2 billion transac-tions per year.

Secure Infrastructure:All customer data is secured with 5 layers of security – Operational Audit, VPN, AWS Security, Private Cloud and Application Access Control. Any data transmis-sion to and from applications is tightly controlled with advanced access control framework and appropriate encryption.

Advanced Business Intelligence and Reporting:Analytics architecture includes the capability to slice and dice data across dimensions and over time, sum-marize information with rich interactive dashboards and ability to drill through to customer level transac-tions. It permits the creation of complex computed measures on the fly. The Customer Analytics solution embeds actionability through exception reporting, alerting and scheduled report pack creation.

Rapid time to value

Usability:Intuitive, visually rich user interface that allow users to easily extract insights and take action. Layered user experience and componentized functionality provides ease of use and accelerates adoption of the system from executives to marketing analysts. Executives can review dashboards on the go from an iPad or other mobility device while a web based interface allows super users to easily drill into detailed insights.

Integrated and Integrable:Manthan Customer Analytics comes with pre-build connec-tors to a wide range of source systems and a prebuilt data model which radically reduces integra-tion efforts, and allows businesses to start developing data-driven market-ing strategies in as little as 2 hours.

Cloud based SaaS delivery:Manthan Customer Analytics is provisioned as a subscrip-tion based SaaS offering, deployed on a highly available cloud platform over optimized hard-ware and software which ensures high performance and scalability as your business grows.

Packaged descriptive, predictive and prescriptive algorithms sit on top of a best-practices backed customer data model to help marketers understand customers’ purchase and digital behaviors, and sharpen personalization and targeting strategies.

Customer Segmentation:Create lifestyle/ life stage and behavioral clusters based on demographics, loyalty engagement, purchase behavior, and promotion response.

RFM Customer Scoring:Score customers on the basis of transactional behav-ior to identify high value customers, value shoppers, loyalists, cherry pickers and disengaged customers.

Association Mining:Identify next best recommendation, bundling, and cross-sell opportunities based on affinities across categories, products and brands.

Churn Analysis:Uniquely predict the probability of every customer to churn. Identify drivers for churn and opportunities to re-engage.

Customer Lifetime Value (CLTV):Calculate the present value of future sales from customers and rank customers based on relative value to appropriately budget and allocate marketing spend.

Propensity modeling:Predict the probability that a customer will respond to a specific promotion, marketing channel or product offer.

Customer360 analyzes customer, transaction, loyalty and campaign data from conventional and digital channels to deliver insightful marketing metrics, which span:

Know Your Customer and Loyalty:Understand every customer’s demographic and behavioral segment’s spread and profile. Assess the health of the loyalty program, effectiveness of acqui-sition programs, rewards accrual and redemption trends.

Purchase Behavior and Product Mix:Analyze spends over time, across customers, prod-uct attributes and store hierarchies. Understand changes or migration in purchase or lifestyle behav-ior. Recognize trends and patterns of basket size, value and constituents within and across customer segments, and product preferences within segments.

Digital Engagement:Combine the behavioral data of your customers on digital channels along with off-line channels to create the unified view of your customers’ journeys. Effec-tively drive conversion on your web and mobile chan-nels by understanding behavior, preferences and content engagement on those channels.

Campaign Analysis and Promotion Analysis:Analyze campaign performance and campaign effec-tiveness for targeted and non-targeted promotions. Understand effectiveness of targeted promotions and engagement channels based on combinations of pre-post analysis and test-control analysis. Get insights into which campaigns and offers drive best results.

.Execute intelligent & relevant promotions across multiple channels in real time to drive increase in footfalls, revenue and customer loyalty.

Machine Learning Based Recommendation Engine:Ensemble modeling approach allows catering to range of scenarios including identification of:• Personalized recommendations • Customers highly likely to purchase a product• Cross-sell recommendations• Accessories recommendations• Similar items• Trending items

Real Time Promotions:Sense and respond to specific customer events at POS, ecommerce and mobile apps with relevant, timely messages. Comprehensive rules engine helps define pre-set response rules for specific purchase events and customer context like past purchases, channel and current product under consideration.

Omni-Channel Campaign Execution:Integrates with multiple channels and systems, like transaction systems loyalty management systems, CRM, mobile app and ecommerce platforms, to maintain centralized view of every customer. Execute promotional and informational campaigns over multi-ple devices and channels.

Touch Governance:Centrally set up controls and thresholds to govern number of times a customer can be contacted across all channels in a defined time period. Configure touch-frequency for each channel and also at a customer level, so mandated marketing programs like newsletters, loyalty program updates are accommo-dated while ensure optimal levels of promotional contacts.

Micro-segmentation:Enables marketers to quickly create micro segments based on a combination of customer demographic attributes, purchase behavior, loyalty program engagement, past promotion responses and channel behavior. Intuitive and easy to use tool allow market-ers to create one time use static segments or dynam-ic segments which are can be kept in synch with changing customer profiles and behavior.

A/B/X Testing:Execute A/B/X tests to identify the ideal creative treatment, headline, copy or channel mix that will elicit the maximum response from the target segment. Identify winners by metrics for open rates, click rates or purchase volume and automate the execution of the winning option to remainder of popu-lation.

Usability:Intuitive, visually rich user interface that allow users to easily extract insights and take action. Layered user experience and componentized functionality provides ease of use and accelerates adoption of the system from executives to marketing analysts. Executives can review dashboards on the go from an iPad or other mobility device while a web based interface allows super users to easily drill into detailed insights.

About ManthanManthan is the Chief Analytics Officer for consumer industries worldwide. Manthan's portfolio of analytics-enabled business applications, advanced analytics platforms and solutions are architected to help users across industries walk the complete data-to-result path - analyze, take guided decisions and execute these decisions real-time. Sophisticated, yet intuitive analytical capability coupled with the power of big data, mobility and cloud computing, brings users business-ready applications that provide on-demand access and real-time execution - the only path to profit in a contemporary, on-demand and connected economy. Manthan is one of the most awarded analytics innovators among analysts and customers alike. To see how your business can gain from analytics, visit www.manthan.com.

Manthan Customer Analytics Data Sheet

Integrated and Integrable:Manthan Customer Analytics comes with pre-build connec-tors to a wide range of source systems and a prebuilt data model which radically reduces integra-tion efforts, and allows businesses to start developing data-driven market-ing strategies in as little as 2 hours.

Cloud based SaaS delivery:Manthan Customer Analytics is provisioned as a subscrip-tion based SaaS offering, deployed on a highly available cloud platform over optimized hard-ware and software which ensures high performance and scalability as your business grows.