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CAPABILITIES PRESENTATION
Who we are?
Founded by visionaries from the Analytics industry with 30+ years of experience in driving customer loyalty through the use of data and analytics.
Check out our corporate video
INTRODUCTIONWhat We Do
c c c c
We transform businesses by enabling customer centricity
We believe in harnessing the power of data for smarter decision making
We act as thought partners in driving tangible business impact
We promote loyalty by helping businesses focus on the customer
LEADING WITH THOUGHT AND CREATIVITY
PROVEN TRACK
RECORD
INNOVATIVE SOLUTIONS
COST EFFECTIVE
HIGHLY EXPERIENCED TEAM
FOCUS ON CREATING TANGIBLE
IMPACT
WHY LOYALYTICS?
Founded by visionaries having 30+ years experience in advanced retail
analytics. Have lead analytics for top retailers such as Tesco, Kroger, Target
Corporation and Casino.
Created impact through solutions at
UAE and Saudi Arabia based fashion retailers
Great solutions at an unmatchable costing
structure.
Continuously leading with thought leadership and developing cutting edge
solutions for the retail industry which are creating tangible business impact
We focus on creating significant business
impact through analytics
Our solutions are highly innovative and
use the latest tools and technologies
Our CapabilitiesTechnology enabled functional solutions driving tangible business impact
Business Dashboards Customer AnalyticsHighly interactive dashboards with rich insights and intuitive user interface to track and monitor KPI’s
Leveraging large volumes of customer data to create a unified customer view and predict customer purchase behavior
Marketing AnalyticsDrive incremental benefits for your marketing investments leading to accelearted growth and better ROI
Digital AnalyticsEnables seamless experience to customers across channels leading to deepened Loyalty and engagement
Merchandising AnalyticsAlign your Merchandising decisions with customer expectations leading to increased profits/sales and customer loyalty
Market ResearchGet an in-depth understanding of your consumers, brands, products and Markets
Business Dashboards
With your business generating large amounts of data every day, how do you?
Track progress against goals
Identify opportunities for growth
Assess performance
Get feedback on key initiatives
Interactive Dashboards
Seamless Technology
Customizable Solutions
Cost Effective
Highly interactive dash boards with rich insights and intuitive user interface to track and monitor KPI’s
Built on Industry renowned Tableau platform meaning less costs and more benefits to business
100% customizable solutions catering to changing business needs and competitive landscape
Highly standardized architecture leading to reduced costs and incremental value to business
Solutions
Segmentation Solutions
Predictive Analytics
360 Customer View
Churn and Retention Analysis
Deliver the right message by segmenting customers more effectively and better understanding target populations.
Customer Analytics
With ever changing customer behavior in a competitive landscape, how do you?
Know, serve and influence customers
Keep up with constantly changing needs
Develop Customer-centric strategies
Understand Customer needs and wants
Retain and grow customers
Predict customer behaviour
Decrease attrition by predicting customers most likely to leave and developing the right proactive campaigns to retain them.
Blending data from multiple fragmented data sources to enable holistic understanding of the customer
Using cutting edge methods to forecast customer behavior for proactive decision making
Solutions
Marketing Analytics
With marketing arena gett ing more competitive & ever increasing number of ways to reach customers how do you?
Build progressive engagement through offers
Identify right channels for offers
Personalize promotions
Achieve the maximum ROI on Marketing
Marketing Mix Optimization
Email Marketing
SMS Marketing
Digital & Social Effectiveness
Increase your marketing ROI across channels by leveraging our cutting edge Market mix optimization solution suite
End to End email marketing platform enabling highly relevant and personalized messaging to your customers
Our SMS Marketing suite of solutions help you reach out to millions of potential customers with very targeted ads and messages
Understand customer sentiments across multiple platforms and leverage the same to drive better customer engagement
Solutions
Assortment & Space Optimization
Localized Assortment
Demand Forecasting
Price Optimization
Consumer Decision Trees
Merchandising Analytics
With hundreds and thousands of product categories vying for shelf space at the same time, how do you?
Have right products available
Optimize space for maximum profit
Know future demand & plan inventory
Effectively cater local needs
Factor in specific regional and demographics attributes to curate a hyper local assortment selection for customers leading to improved sales
Advanced forecasting solutions to predict demand accurately leading to Optimized inventory, improved on shelf availability and customer satisfaction
Set the most optimal prices for your categories using own price elasticities and competitor info leading to increased sales and profits
Advanced analytics algorithms that help understand customers attribute preferences for categories leading to a more customized assortment planning
Solutions
Combine purchase propensities with customer preferences to arrive at most profitable assortment
Site Traffic Forecasting
Digital Marketing Optimization
Data Solutions
Competitor Analytics
Digital Analytics
As customers move more and more into the digital realm each day and the e-commerce space becomes more and more competitive, how do you?
Have solid infrastructure to collect and use data
Continuously improve online experience
Retain a competitive edge with digital offerings
Drive conversion on your website
Maximize ROI on digital advertising
Mine historical sales and browse data to predict future traffic patterns for the online store leading to better planning
Leverage click stream data to optimally allocate marketing spend across various digital media
Architect a robust cloud based data infrastructure that is both scalable+secure leading to development of advanced analytics solutions
Gain actionable insights into competitors pricing and assortment strategies through our Digital crawling engine
Solutions
Data Collection & Processing
Survey Management
Reporting & Analytics
Market Research
As the market become more and more competitive and the factors affecting your business get more complicated, how do you?
Gain knowledge of customer attitudes
Find the most profitable store locations
Keep a tab on competitors
Identify new business opportunities
Recognize new areas for expansion
Focus Group Interviews
End to end survey management solutions from designing of questionnaire to response analysis and recommendations
Robust data collection and processing techniques to help understand consumers, products, brands and markets
Advanced research analytics methodologies to understand both articulated and unarticulated needs of the responder/customers
Setting up relevant focus group panels and then collecting and analyzing responses to generate actionable intelligence across products/markets
Solutions
youTHANK
Appendix
loyalyticsCUSTOMER SCIENTISTS
loyalyticsCUSTOMER SCIENTISTS
CUSTOMER ANALYTICS
Key Activities
Customer datamart
Customer segmentation
Customer 360 view
Case Study
Increased ROI on Marketing
campaigns
Better understanding
of customers and their needs
Ability to execute
targeted campaigns
Identify, retain, engage and grow your
best customers
Reactivate your lapsed/
lesser engaged customers
Identify non profitable
promotions
Increase response by
identifying and targeting
customer needs
Tailor assortment to
the needs of customers
Identify right channels for each
promotion
Identify the right offer to
incite response from a
customer
In-depth business recap
by adding customer lens
Reduce churn through information on
competitor strategies
Fuelling growth through Customer Analytics Solutions
Our customer analytics solutions can help you strategies and execute customer centric strategies leading to better engagement, business growth and increased customer satisfaction
1. Customer Data Mart Creation
WHO HOW WHAT WHEN WHERE WHY
Customer SegmentationsBU
ILD
Search Affiliates Social
EmailDirect mailStore
Customer DataMart
Customer 360 view
TES
T &
LE
AR
N
CONTINOUS TESTING AND OPTIMIZATION OF SOLUTIONS TO DRIVE CUSTOMER LOYALTY AND ENGAGEMENT
OP
TIM
IZE
A multi-dimensional segmentation architecture profiles customers, products and channels based on various dimensions including value, baskets, response to promotion and merchandising, as well as store and channel similarities.
Who are my customers, their value, profiles, demographics?
WHO?
Trip
Fre
quen
cy
Departments
A
B
D C
Behavior
Trip
s Fr
eque
ncy
III
III
Trip
Fre
quen
cy
Needs Met / Events Shopped
Trip
Fre
quen
cy
Avg. Basket Size ($)
Store Activation Response
Online Activation Response
Social Behavior
Guest Basket
Mission/ Trip
Content
Brand Response
Price Response
Mission/ Trip
Attitude
Mission/ Trip
Content
Demo – graphics RFM
Lifestage Profit Margin
Customer Product ChannelData source key
How do we meet their needs and requirements at my
store?
HOW?What are customers placing
in their baskets, and what are their buying patterns?
WHAT?What marketing and
merchandising activities are driving purchase behavior?
WHY?How does my customer
population align to stores, other channels?
WHERE?Key
Questions
Segment Dimensions
Data VIews
2. Developing Customer Analytics Solutions using the datamart
Customer Value segmentation
Activity Status Product Needs Preferred Channel
14xxxx High Value Active Kids clothing Email
15xxxx Medium Value New Men's formals Direct mail
16xxxx Low Value Inactive Sports wear Email
Comprehensive customer view in database
These views equip Marketing, Merchandising, and Channel operations with the appropriate decision-making information, at the appropriate dimension and level of granularity, required per function, per decision and per activation.
Create a comprehensive view of customers by bringing all customer analytics solutions together
Enrich the database with all relevant customer information and leverage the same for profitable customer engagement
Customer Engagement
StrategyCustomer
3. Creating a customer 360 view using different solutions
Case Study: Customer Analytics for Technology company
Business Context Analytical Solutions
WHO WHAT WHEN• Fortune 50 Technology
company–Y-o-Y decline in revenues
from key business units
• Business Need–Attract new customers–Increase repeat purchase–Improve Average order size
Customer segmentation
• 30 – 40% increase in $/message delivered
• 50 - 60% increase in conversion rate of marketing campaigns
Product Affinity Models Purchase timing Models
• 30-40% increase in Average order size
Business Impact
loyalyticsCUSTOMER SCIENTISTS
loyalyticsCUSTOMER SCIENTISTS
MARKETING ANALYTICS
Key Activities
Marketing Mix Optimization
Email Marketing
SMS Marketing
Marketing Mix Optimization
Data collection, mapping and validation
Advanced Econometric Modeling
Simulation, Optimization and implementation
Marketing activities & Business performance • Historical data • Granularity and
frequency
State space regression • Focus on accuracy • Multiple
combinations
Embed into business planning • Realistic and
actionable • Planning and
forecasting
Analytical SolutionBusiness Context
Business Impact •Better visibility into Marketing performance across channels • Increase marketing ROI leading to improved bottom line performance
A CPG Company - Need for optimal
allocation of marketing budgets
Business Need - Multiple marketing
channels - Need for a scientific
method of computing ROI for each channel
- Optimized allocation of budgets to maximize overall marketing ROI
Back
Email Marketing Platform
Unified data Platform
Advanced Analytics Engine
Reporting Platform
Analytical SolutionBusiness Context
Business Impact2X improvement in conversion rate 3X improvement in click and open rates
Leading Fashion retailer in ME region - Legacy Email marketing platform with poor results
Business Need • Increase email
marketing list base
• Improve conversion rates for Email marketing programs
• Improve other KPI’s like Click, Open rate etc
Create a one view of customers across channels leading to • Improved customer
understanding • Cross sell/Up sell
3 powerful analytics engines • Segmentation • Product recom. • Customer browse
engine
E2E reporting platform for continuous monitoring and measurement • Monthly, weekly and
daily reports
Back
SMS Marketing Solution
Plugin to Operator API
Analytics Processing Engine
Secure cloud for reporting and analysis
Analytical SolutionBusiness Context
Business ImpactHuge cost savings owing to rationalized sms list Improved marketing results in terms of open rates, conversion rates etc
Configurable engine with the ability to integrate with any API Continuous optimization
Our Analytics engine will deliver highly personalized and relevant messages to the end customer leading to improved loyalty
E2E reporting platform for continuous monitoring and measurement • Monthly, weekly and
daily reports
A Fashion Retailer - Huge amount spent on
bulk SMS sending with low conversion rates
Business Need - Optimize Bulk SMS
sending - Personalize and
customize customer SMS’s
- Rationalize the bulk SMS list and save and optimize marketing spend
Back
loyalyticsCUSTOMER SCIENTISTS
loyalyticsCUSTOMER SCIENTISTS
MERCHANDISING
ANALYTICS
Key Activities
Assortment & space optimization
Demand Forecasting
Price Optimization
Localized Assortment Planning
Consumer decision Trees
Assortment and space Optimization for increased profits
Business Context
Fortune 100 Retail company - Consistent decline in
space productivity metrics
Business Need - Reduce complexity n
product lines - Assortment
Optimization for incremental sales and profit margins
Analytics Solutions
Consumer decision trees
Incrementality Curves
Simulation and Optimization
1 2 3
Markov chain matrix to analyze customer switching behavior
Regression analysis of SKU counts and demand to produce incrementality curves
Optimization goals for incremental sales, profits and customer segments
Business Impact • Approx. 20% reduction in category assortment • Upto 40% improvement in space productivity metrics for test categories
Back
Demand Forecasting for better inventory planning
Business Context
Leading Fashion retailer in ME region - Manual and non
scientific process of sales forecast
Business Need - Greater accuracy in
demand prediction - Automated forecasting
process to enable frequent changes and better control on targets
Analytics Solutions
Data collation and exploratory data analysis
Developing the Demand forecasting model
Estimate results and improve over time
1 2 3
Create the required data variables to be fed in the model for analysis
Choose the best forecasting models amongst options like time series etc
Modify/refine the model for continuous improvement
Business Impact • Statistical model achieved an accuracy of 90% in sales prediction • Better allocation of budgets/targets across various departments
Back
Consumer decision trees for Brand attribute preference
Business Context
Fortune 50 Retail Giant - Continuous need for
category optimization
Business Need - Better understanding of
Brand attributes - Leverage Brand attribute
preference to optimize assortment
- Better adjacency planning to increase basket size and sales
Analytics Solutions
Define category and create decision trees
Generate models and run what if scenarios
Analyze output and implement changes
1 2 3
Stress Test the model of multiple scenarios
Develop a tool to analyze reports and implement optimization
Business Impact • Category level attribute preference maps • Better pricing and adjacency planning leading to more profits
Markov chain matrix to analyze customer switching behavior
Back
Price optimization for maximized profits and sales
Business Context
Fortune 50 Retail Giant - Need for an optimized
pricing strategy
Business Need - Manual price alterations
not possible - Optimized prices that
incorporate shopper preferences and market trends
- Manage pricing decisions more effectively across the chain
Analytics Solutions
Item analysis to define Demand groups
Price elasticity models for each demand group
Optimization algorithms to arrive at final price points
1 2 3
Develop Price elasticity models for each of these demand groups
Develop an optimization tool that recommends the best price for maximized profits
Business Impact • Optimized pricing strategy leading to improved profitability • Increase in sales and customer satisfaction owing to “best prices” offered
Purchase data analysis to define demand groups/segments with similar behaving items
Back
Assortment Localization for higher sales and customer satisfaction
Business Context
Speciality Grocery Retailer - Operating multiple
stores across US
Business Need - Diverse customers
needs and preferences across regions
- Need to localize assortment offerings suited to local demand
- Global brand messaging with local emphasis
Analytics Solutions
Item segmentation on factors like sell thru rate, Instock %
Attribute profiling of segments by each store
Decision tree modeling for localized assortment
1 2 3
Profile item segments based on attributes like color, size etc
Build store specific models recommending assortment spread for each store
Business Impact • Improved customer satisfaction and higher basket size • Increased sales and margins across the chain
Segmentation on important KPI’s to arrive at homogenous groups of items
Back
loyalyticsCUSTOMER SCIENTISTS
loyalyticsCUSTOMER SCIENTISTS
DIGITAL ANALYTICS
Key Activities
Site Traffic Forecasting
Digital Marketing Optimization
Data Solutions
Competitor Analytics
Site Traffic Forecasting
Business Context
Fortune 50 Technology company - Decline in traffic to
Online store
Business Need - Identify key drivers of
Traffic - Increase forecast range
and accuracy
Analytics Solutions
Analyze Traffic Trends
Overlay Marketing activities
Develop Forecasts and User interface
1 2 3
Combine the traffic series with marketing events to arrive at incremental effects
Forecast future traffic trends and develop a tool for what if scenarios
Business Impact • Identify key marketing activities contributing to majority of traffic • Enhanced long term forecast accuracy of upto 95%
Historical traffic analysis to detect patterns in data
Back
Digital Marketing Optimization
Business Context
A CPG Company - Increase sales with
limited Marketing budget
Business Need
- Maximize ROI for marketing campaigns
- Optimal allocation of marketing dollars
Analytics Solutions
Compute ROI by Marketing vehicles
Forecast expected ROI by each vehicle
Optimize demand generation budgets
1 2 3
Develop Price elasticity models for each of these demand groups
Develop an optimization tool that recommends the best price for maximized profits
Business Impact • Optimized pricing strategy leading to improved profitability • Increase in sales and customer satisfaction owing to “best prices” offered
Purchase data analysis to define demand groups/segments with similar behaving items
Back
Digital Data Solutions
Business Context
A Apparel Retailer - Set up E2E Ecommerce
analytics platform
Business Need
- Set up a process to store and process clickstream data
- Develop reporting and advanced analytics layer on top of the data warehouse
Analytics Solutions
Develop clickstream data pipeline
Set up a cloud based data warehouse
Develop advanced analytics solutions leveraging data
1 2 3
AWS Redshift database for storing, validating and processing data
Connect Tableau and other advanced analytics tools like R, Python to develop analytics solutions
Business Impact • Access to rich clickstream data • Ability to develop multiple analytics solutions leveraging the stored data
Data pipeline for capturing and processing clickstream data from website using multiple web hooks
Back
Competitor Analytics
Business Context
A Fashion Retailer - Insights around
competitor pricing and assortment
Business Need
- Real time intelligence around competitor prices
- Identify assortment gaps around different attributes like brand, size, color etc
Analytics Solutions
Develop crawler algorithm
Process and analyze competitor data
Identify and act upon existing gaps
1 2 3
Data cleaning and processing on the extracted information
Comparison with existing price and assortment details to identify gap and take action
Business Impact • Improved visibility on key competitor offerings • Ability to create better assortment and price offerings with respect to competition
Write python based crawler scripts to parse and extract relevant competitor data
Back
Our Founding team
Ahmar is a “customer centric” analytics leader who has led multiple high performance teams in decade long professional journey with leading fortune 50 companies. He comes with extensive experience in Customer/Loyalty analytics domain having developed and deployed various statistical/Predictive Modeling solutions in different businesses.
Ahmar was inducted into the Franz Edelman Academy and conferred as “Edelman Laureate” by INFORMS (Institute of Operations Research and Management Sciences) in recognition of Analytical Decision Making & Application.
Mohit is a data science expert with a more than 10 years of experience in helping top retailers across the world with data and analytics solutions to drive strategic business decisions. Prior to this, Mohit has worked with companies such as Tesco, Target and Kroger to help them solve their business problems through, focusing on, and extracting meaning out of customer data .
Mohit has extensive experience in big data platforms and technologies and in his prior roles helped businesses use their data for better decision making by developing cutting edge predictive analytics solutions.
Imran is a advanced analytics professional with extensive experience in developing analytics solutions across technology, financial services, education, banking, healthcare and insurance industries.
Prior to founding Loyalytics Imran was with Target corporation where he developed advanced predictive analytics algorithms in the area of customer loyalty and engagement.