Loyalytics capabilities presentation
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Loyalytics is a data and analytics company focused on transforming businesses through customer-centric strategies, leveraging over 30 years of experience in advanced retail analytics. They offer innovative solutions in customer, marketing, merchandising, and digital analytics to drive customer loyalty and tangible business impact. Their technology-enabled, customizable solutions empower businesses to make smarter decisions backed by rich insights and predictive analytics.
Loyalytics capabilities presentation
- 2. 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
- 3. INTRODUCTION What 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
- 4. 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
- 5. Our Capabilities Technology enabled functional solutions driving tangible business impact Business Dashboards Customer Analytics Highly 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 Analytics Drive incremental benefits for your marketing investments leading to accelearted growth and better ROI Digital Analytics Enables seamless experience to customers across channels leading to deepened Loyalty and engagement Merchandising Analytics Align your Merchandising decisions with customer expectations leading to increased profits/sales and customer loyalty Market Research Get an in-depth understanding of your consumers, brands, products and Markets
- 6. 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
- 7. 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
- 8. Marketing Analytics With marketing arena getting 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
- 9. 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
- 10. 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
- 11. 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
- 12. you THANK
- 13. Appendix
- 14. loyalyticsCUSTOMER SCIENTISTS loyalyticsCUSTOMER SCIENTISTS CUSTOMER ANALYTICS Key Activities Customer datamart Customer segmentation Customer 360 view Case Study
- 15. 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
- 16. 1. Customer Data Mart Creation WHO HOW WHAT WHEN WHERE WHY Customer Segmentations BUILD Search Affiliates Social EmailDirect mailStore Customer DataMart Customer 360 view TEST& LEARN CONTINOUS TESTING AND OPTIMIZATION OF SOLUTIONS TO DRIVE CUSTOMER LOYALTY AND ENGAGEMENT OPTIMIZE
- 17. 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? TripFrequency Departments A B D C Behavior TripsFrequency II I III TripFrequency Needs Met / Events Shopped TripFrequency 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
- 18. 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 Strategy Customer 3. Creating a customer 360 view using different solutions
- 19. 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
- 20. loyalyticsCUSTOMER SCIENTISTS loyalyticsCUSTOMER SCIENTISTS MARKETING ANALYTICS Key Activities Marketing Mix Optimization Email Marketing SMS Marketing
- 21. 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
- 22. Email Marketing Platform Unified data Platform Advanced Analytics Engine Reporting Platform Analytical SolutionBusiness Context Business Impact 2X 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
- 23. SMS Marketing Solution Plugin to Operator API Analytics Processing Engine Secure cloud for reporting and analysis Analytical SolutionBusiness Context Business Impact Huge 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
- 24. loyalyticsCUSTOMER SCIENTISTS loyalyticsCUSTOMER SCIENTISTS MERCHANDISING ANALYTICS Key Activities Assortment & space optimization Demand Forecasting Price Optimization Localized Assortment Planning Consumer decision Trees
- 25. 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
- 26. 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
- 27. 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
- 28. 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
- 29. 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
- 30. loyalyticsCUSTOMER SCIENTISTS loyalyticsCUSTOMER SCIENTISTS DIGITAL ANALYTICS Key Activities Site Traffic Forecasting Digital Marketing Optimization Data Solutions Competitor Analytics
- 31. 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
- 32. 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
- 33. 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
- 34. 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
- 35. 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.