1. TargetOne
Predict. Personalize. Profit.
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Personalization
Customer360
Product Overview

2. © 2015 Manthan 2
Personalization platform powered by analytics
enables marketers to engage customers across multiple channels
resulting in higher revenue and marketing ROI
TargetOne

3. © 2015 Manthan 33© Copyrights 2014 | Manthan Systems
Outcomes TargetOne can drive
• Improve customer loyalty and stickiness through relevant and
personalized promotions
• Increase basket value by identifying cross-sells & up-sells based on
customers purchase history and the context in which they are more
likely to respond
• Optimize marketing spends through targeted promotions, channel
optimization strategies and improved conversion
• Realize your marketing aspirations to connect with customers across
multiple channels

4. © 2015 Manthan 4
Right customer, right offer, right time, right channel
TargetOne: a systems view
Data Sources
Customer Master
Product Hierarchy
Store Hierarchy
Campaign Plan
Offers
Customer
Touch points
Measure
Target Lists Micro-segments | Inherit & integrate lists
Recommendation
Engine
Industry Relevant| Cross-sell|
Best fit products| Best fit customers
Triggers POS | email | eCommerce | Mobile | Social
Touch governance Thresholds | Anti-spam | Channel limits
AB Testing | Test & Control| Measure
Campaign Performance

5. © 2015 Manthan 5
TargetOne: Solution View
Multi-channel Marketing Data Model
Marketing Analytics
Business Rules Engine
Target Segments Split Lists Dynamic Lists
Merchandize Rules Recurring Schedules Frequency Controls
Marketing Tools
Test & Control AB Testing Spam Filter Reports
Email Preview Test Lists Template Library
Multi-channel Execution
Campaign Execution Engagement Channels
• Email
• Mobile
• Online
• Lifecycle Marketing
• Intent to Purchase, During Purchase & Post
Purchase Marketing
• Real Time Targeting
Campaign Analytics Product Recommendations Customer Recommendations
Frequently Bought Together Product Similarity Top Selling
• SMS
• Social

6. © 2015 Manthan 6
Next best offer, product & customer similarity, new product adoption
TargetOne - Recommendation Engine Solution View
Algorithms
Standard recommendation for unknown
customers
Top selling products
Identify product attributes that are most
important
Product attribute ranking
and similarly scoring
Custom algorithms…
Identify best cross-sell recommendations
Unsupervised
Segmentation
Association
mining
Conjoint
Modeling
Execution Engine
• Product recommendation (Grocery)
• Product recommendation (Fashion)
• Cross-sell recommendation
• Similar products recommendation
• Accessories recommendation
• Top selling products
• Customer recommendation for NPI
Business rule
• Flexible rules engine to guide the
final output
• Filter out recommendations from
the algorithms according to
business priorities.
Marketing execution
• Embed in Email & SMS
• Respond to ecommerce requests
in Real Time

7. © 2015 Manthan 77
Target Lists Micro-segments | Inherit & integrate lists
Recommendation Best fit offers | Best fit customers
Triggers POS | email | eCommerce | Mobile | Social
Touch governance Thresholds | Anti-spam | Channel limits
Functionality
Promotion execution:
• Enable personalization based on
marketing objective x customer x
product x channel
Triggered Promotion
• Listen to customer interactions at
multiple touch points. Define rules
to respond back with best possible
offer/marketing message
Recommendation Engine
• Generate personalized
recommendations based on
customer transaction history.
Algorithm supports multiple
scenarios ranging from finding
best offers to best customers
ARC TargetOne
Execute personalized promotions
Platform for personalization
Integrated & integrable:
• CRM & Loyalty systems
• Platforms: POS, Mobile, e-Commerce
• Email servers, SMS gateways
• Social channels: Facebook, Twitter…
Architected for scale :
10Mn customers
200 Triggers per second
600K Recommendations per minute
100K concurrent messages
Micro-segmentation
• Inherit external lists or create new
micro-segments. Manage
Segments centrally to optimize
targeting
Touch Governance
• Centrally manage customer’s
touch history, channel preferences
and un-subscriptions to ensure
customers are not spammed
Automate
• Create and schedule weekly mailer
promotions, newsletters, loyalty
points update & anniversary
wishes
Measure
• AB Testing to test marketing
options
• Measure campaign effectiveness
Measure AB Testing | Test Control| Campaign Performance

8. © 2015 Manthan 8
TargetOne Architecture
POS
Raw Data Lake
Transformed Data Lake
Data Mart
Data Integration Batch/ Real Time
List segmentation
Test
Marketing
Recommendation Engine
Trigger Rules
Engine
Campaign Analytics
Rules Engine Analytics
Real Time Execution Scheduled Execution Recurring Execution
Execution
NoSQL
Data Management
E-mail SMS E-commerce
Social
media
Mobile APPS
Integration
APIs
Data Security
Scheduling
System
Integrations
User Mgmt.
Auto-scale

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