Loyalytics capabilities presentation

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

https://www.youtube.com/watch?v=AGQ3AJfvvT0

INTRODUCTIONWhat We Do

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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

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Appendix

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



MARKETING ANALYTICS

Key Activities


Email Marketing

SMS Marketing


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


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


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



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



DIGITAL ANALYTICS

Key Activities



Data Solutions



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


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


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.

Loyalytics capabilities presentation

Data & Analytics

Transcript of Loyalytics capabilities presentation