Realizing Customer-Centric Marketing with Programmatic Technology
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The document discusses how companies are increasingly focusing on customer-centric marketing and the role of programmatic technology in enabling it. It notes that 53% of marketers cited delivering more relevant communications as a key demand, and 89% of companies plan to compete on customer experience by 2016. The document then outlines some of the organizational barriers to customer-centricity, how the customer journey has multiple touchpoints, and best practices like leveraging data, personalizing messages, optimizing continuously, and aligning internal teams. It positions MediaMath as providing a connected platform to access addressable media across channels for more personalized messaging.
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Best Practices for Using Apache Spark on AWS
Organizations need to perform increasingly complex analysis on data — streaming analytics, ad-hoc querying, and predictive analytics — in order to get better customer insights and actionable business intelligence. Apache Spark has recently emerged as the framework of choice to address many of these challenges. In this session, we show you how to use Apache Spark on AWS to implement and scale common big data use cases such as real-time data processing, interactive data science, predictive analytics, and more. We will talk about common architectures, best practices to quickly create Spark clusters using Amazon EMR, and ways to integrate Spark with other big data services in AWS.
Learning Objectives:
• Learn why Spark is great for ad-hoc interactive analysis and real-time stream processing.
• How to deploy and tune scalable clusters running Spark on Amazon EMR.
• How to use EMR File System (EMRFS) with Spark to query data directly in Amazon S3.
• Common architectures to leverage Spark with Amazon DynamoDB, Amazon Redshift, Amazon Kinesis, and more.
(ISM213) Building and Deploying a Modern Big Data Architecture on AWS
"The AWS platform enables large enterprises to use data to solve business problems and uncover opportunities more easily and affordably than ever before. However, to truly take advantage of AWS, enterprises need a way to collect, store, process, analyze, and continually execute on their data.
Datapipe has been an AWS partner for more than five years. In that time, it has developed a proprietary process for the deployment of AWS environments, as well as the processing and evaluation of big data analytics to optimize these environments over time. This flexible solution includes automation tools, continuous monitoring, and cloud analytics. It protects against architectural sprawl and continually redesigns for scalability. This kind of continuous build environment allows Datapipe to examine the AWS environment as a complete picture and ensure the cloud environment is running as efficiently and effectively as possible, ultimately reducing overhead costs for the enterprise.
In this session, Jason Woodlee, Senior Director of Cloud Products at Datapipe, will discuss the technical details of designing and deploying a modern big data architecture on AWS, including application purpose and design, development environment and language overview, DevOps automation best practices, and continuous build and test frameworks. Session sponsored by Datapipe."
Amazon Machine Learning
In this presentation, learn how an end-to-end smart application can be built in the AWS cloud. We will demonstrate how to use Amazon Machine Learning (Amazon ML) to create machine learning models, deploy them to production, and obtain predictions in real-time. We will then demonstrate how to build a complete smart application using Amazon ML, Amazon Kinesis, and AWS Lambda. We will walk you through the process flow and architecture, demonstrate outcomes, and then dive into the code for implementation. In this session, you will learn how to use Amazon ML as well as how to integrate Amazon ML into your applications to take advantage of predictive analysis in the cloud.
Presented by: Guy Ernest, Principal Business Development Manager, Amazon Web Services
Customer Guest: Pim Vernooij, Partner, Lab Digital
10 R Packages to Win Kaggle Competitions
This document discusses 10 R packages that are useful for winning Kaggle competitions by helping to capture complexity in data and make code more efficient. The packages covered are gbm and randomForest for gradient boosting and random forests, e1071 for support vector machines, glmnet for regularization, tau for text mining, Matrix and SOAR for efficient coding, and forEach, doMC, and data.table for parallel processing. The document provides tips for using each package and emphasizes letting machine learning algorithms find complexity while also using intuition to help guide the models.
Myths and Mathemagical Superpowers of Data Scientists
1) The document discusses 10 myths about data scientists and provides realities to counter each myth.
2) Some myths include claims that data scientists are mythical beings, elitist academics, or a fading trend. However, the realities note data science requires hands-on work with data and has experienced steady growth.
3) Other myths suggest data scientists are just statisticians or BI specialists, but the realities indicate data scientists come from varied backgrounds and tackle business problems through experimentation and analysis.
How to Become a Data Scientist
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Video of this talk is available here: https://www.youtube.com/watch?v=c52IOlnPw08
More information at: http://www.zipfianacademy.com
Zipfian Academy @ Crowdflower
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- It describes the basic components of artificial neurons and how they are modeled after biological neurons. It also explains different types of neural network architectures.
- The document discusses supervised and unsupervised learning in neural networks. It provides details on the backpropagation algorithm, a commonly used method for training multilayer feedforward neural networks using gradient descent.
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"Adopt Agile Marketing to Keep Pace with the Speed of Digital" CMG
From Barre Hardy presentation at the Digital Marketing for Financial Services Summit. "Adopt Agile Marketing to Keep Pace with the Speed of Digital"
1. The times, they are a-changin’
Digital disruption requires exponential speed in action and reaction
2. The new reality is digital
More digital, mobile, personal services are table stakes
3. The disconnect: 60% of consumers report they do not have a personal connection to their bank. 47% of banking executives rate their
institution’s ability to deliver a personalized experience as “excellent”.
4. Financial Services marketing is getting squeezed
Internal & external challenges make change necessary
INTERNAL
• Lengthy go-to-market process
• Marketing siloes
• Increasing work volume
• Ever-changing environment
EXTERNAL
• Customer Demands
• Regulations
• New Competition
5. Agile marketing is a smart choice
Transform your marketing to respond to change
6. Let’s do the math…
TimeTrade 7
Data + Customer + Experience + Digital Experience = Agile
7. Agile Marketing: a data-driven, iterative approach
• Achieve better performance
• Execute more effectively
• Champion the customer
8. Agile elevates Performance
1. Empowered Teams 3. Focus on Quality
2. Focus on Customers 4. Rapid Learning Cycles
Customer Data Management: The Time is Now
In partnership with a leading global technology analyst firm, Dun & Bradstreet commissioned a new study to examine how Customer Data Management (CDM) impacts business development and overall performance. This exclusive study proves that smart CDM is essential for driving growth and staying ahead of the data explosion
Marketing Analytics
PMG is a marketing company that built a real-time marketing analytics platform to help clients increase return on ad spend. They partnered with Media Math to collect data from various sources and turn it into usable signals to create precise consumer profiles. This allowed PMG to identify customers at different stages and target them with personalized messages. The results were impressive - audiences scaled throughout key periods and return on ad spend reached as high as $149.59 per customer. PMG can now serve more customized ads to specific users based on their behavior.
Pharma Content Marketing Conference Day 1 Chair Opening Deck (for public) 12 ...
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This document provides an overview and introduction to a content marketing conference, including:
- The conference details of location, date, and hashtag
- Definitions of content marketing as creating and sharing media to acquire customers by consistently providing valuable information, with the goal of inspiring loyalty
- That content marketing is now important because customers want more information than marketing and can control their choices more, and it enhances other marketing efforts
- Upcoming speakers will discuss the Content Marketing Institute framework and the power of storytelling in content marketingLoyalty Matters
Why do loyal customers matter? Learn about the current issues driving loyalty marketing, why loyalty marketing works, and how to define measurable objectives, where and when to use promotional currency, and sure-fire enrollment tactics.
More CRM and Loyalty Marketing Resources
Loyalty Blog: http://www.customerinsightgroup.com/loyaltyblog/
eBooks: http://www.customerinsightgroup.com/white-papers
Loyalty Workshops: http://www.customerinsightgroup.com/custom-loyalty-workshops
Systematic New Loyalty Program Development: http://www.customerinsightgroup.com/systematic-new-loyalty-program
Pinterest: http://pinterest.com/engagekeepgrow/
Who is Customer Insight Group?
Customer Insight Group, Inc. leads the way in the evolution of how companies engage their customers, positively motivate them and earn their long-term loyalty. Our extensive client work is testimony to our depth of knowledge and ability to apply strategic insight and solutions to a wide variety of business objectives. Our team’s client experience includes: NHFA, Thomasville Furniture, The Maxim Group Carpet Franchise, Ashro, A&P, The Bon Ton, Crate & Barrel, Dick’s Sporting Goods, Edwin Watts Golf, GE Consumer Finance, Monroe and Main, Swiss Colony, Midnight Velvet, MySwingle.com, The Great Indoors, G.H. Bass, Golf Galaxy, Helzberg Diamonds, HSBC, Kohl’s, La-z-boy Furniture Franchise, MCI, Payless ShoeSource, Pier 1 Imports, Petco, Proflowers.com, Regis University, Ruby Tuesday, S&K Menswear, Sierra Trading Post, Stein Mart, Tommy Hilfiger, Ulta, as well as various other leading companies.
Why Do Banks Need A Customer Data Platform?
Banks traditionally have been known to amass customer information across both online and offline data channels. However, a lot of this data resides in silos and marketers have been unable to leverage this data to run targeted marketing campaigns. Here are the top four reasons why a Customer Data Platform would be best suited for Banks.
Digital marketing insights report 2014
- The biggest data challenges facing marketers are the storage and integration of customer data into a single database, according to over a third of respondents. Data quality is also a concern for around a quarter.
- Aggregated web data and transactional data are the most common types of customer data collected, reported by 70% and 48% of respondents respectively. Around half also collect demographic and customer interaction data.
- Customer data is stored in a variety of places, with over a third storing it in a single centralized database. Around a third also use separate marketing data marts or content management systems to store customer data.
Báo cáo thống kê về Cnsumer insight trên Digital Marketing 2014
- The biggest data challenges facing marketers are the storage and integration of customer data into a single database, according to over a third of respondents. Data quality is also a concern for around a quarter.
- Aggregated web data and transactional data are the most common types of customer data collected, reported by 70% and 48% of respondents respectively. Around half also collect demographic and customer interaction data.
- Customer data is stored in a variety of places, with over a third storing it in a single centralized database. Around a third also use separate marketing data marts or content management systems to store customer data.
Using data to design personalized customer experiences CX
At the intersection of “Big Data” and the Big Blender – Ad Tech + Mar Tech – lies growth & competitive advantage, harkening in the era of personalization and customer experience design.
Breakthrough marketing begins by harnessing omnichannel customer insights. Using data-driven insights to design, inform & deploy your Customer Relationship Marketing, creative & media mix is where breakthrough marketing happens! A holistic view of the customer informing CX, over time, across channels and devices. Creating personalized experiences that result in long-term, high-value customer relationships.
Customer’s are in the driver’s seat! With complete information at their fingertips and numerous choices, “one size fits all” product-centered marketing is the by gone era of Mad Men.
Shopper marketing insights for retailers webinar
This document summarizes a presentation on using customer data and analytics for retailers. It discusses how retailers have entered the "age of the customer" and must shift to be customer-obsessed. It also discusses how big data and analytics can provide insights across the customer lifecycle to personalize interactions. The presentation provides examples of retailers successfully improving metrics like sales and loyalty through analytics. It emphasizes starting with a pilot to learn from data before expanding initiatives.
Taking The Guesswork Out of Your Lead Generation Campaign
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TNS is a global market research firm with offices in over 80 countries. They use survey data and research to help clients identify growth opportunities in areas like loyalty, new customers, new products, and new markets. TNS provides a service called Digital Segment Targeting that uses survey data and modeling to identify customer segments most likely to increase spending or convert. They then target these high-potential segments through digital advertising. An example highlighted a campaign for Holiday Inn that saw significant lifts in brand metrics and online behaviors by targeting a growth segment identified through TNS's research models.
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Turnkey Personalization Strategies for Localized Marketing
Personalization remains an elusive challenge for marketers in 2014. But for national brands supported by a corporate marketing department AND a network of local entities/affiliates, challenges with personalization are amplified by fragmented technologies, redundant marketing spend, and issues with brand compliance. While local marketers may be in the best position to personalize the brand for local target audiences, they may not have the tools, skills, or resources to act accordingly.
For industries like financial services, insurance, manufacturing, retail, hospitality, and pharma top line growth is heavily dependent on establishing a trusted relationship with customers. But how? Its 2014, but 78% of marketers in these industries support legacy marketing technologies or processes put in place decades ago – and personalization is more of a pipedream than a reality. Maybe it’s time to revisit the concept of personalization.
You’ll learn:
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• The role of technology in 2014, and innovations that are literally making personalization turnkey
• Trends and emerging tactics to watch out for over the next 1-3 years
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B2B Marketing 2015
This document provides predictions for B2B marketing trends in 2015 from DirectionGroup. It identifies 10 key trends, including the return of emphasizing good ideas; focusing on high-quality over high-quantity content; using more humanized language; leveraging storytelling; shifting to paid content distribution and native advertising; mobile finally breaking through; expanding sales enablement; exploding marketing technology; increasing use of account-based marketing; and rising importance of visual content and video. The trends reflect an emphasis on content, technology, personalization and data-driven marketing approaches.
Win Customers’ Hearts & Minds with a Personalized Email Strategy
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The Eclipse of Online Ads
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A Bluprint for Investing in Referral Marketing
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- Referral marketing is an important strategy as B2B buyers increasingly rely on peer recommendations before making purchasing decisions. Automating referral marketing can boost ROI by increasing conversions and customer lifetime value.
- Manual referral marketing programs using spreadsheets are less effective than automated systems which can more accurately track referrals, rewards, and results. Automation also prompts ongoing advocate participation.
- When choosing a referral marketing automation platform, it is important to consider the user experience for advocates, prospects, sales teams, and administrators and ensure the solution is easy to use and integrates with existing technology like CRM.
Creating Customized Buyer Journeys with AI and Data
1:1 B2B marketing and sales is a strategy focusing on targeted marketing initiatives and messaging to your audience. AI, data and digital are the foundation for creating personalized buyer journeys and engaging prospects and customers with relevant and insightful content. Watch our speakers from Lattice Engines, Informatica, nFusz and ion interactive to learn how to use AI, data and digital technologies to engage with relevance and create personalized content at scale. Informatica will also show how they transformed their marketing with AI and data to deliver customized buyer journeys at scale to achieve a 2x increase in effectiveness while reducing cost per qualified lead by 54%.
Go Beyond Pretty Graphs
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Using data to design personalized customer experiences CX
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Realizing Customer-Centric Marketing with Programmatic Technology
- 1. v Edwin Lee, Global VP, Retail ©2014 MEDIAMATH INC. 1 June 10, 2015 Realizing Customer-Centric Marketing with Programmatic Technology
- 2. 53%Demand to deliver more relevant communications to customers/be more “customer centric” eMarketer asked Marketers andAgencies… What factors are responsible for driving investment in data-driven marketing 49%A desire to maximize effectiveness/efficiency of marketing investments Source: Winterberry Group, “The Global Review of Data-Driven Marketing and Advertising,” Nov 5, 2014
- 3. 89% Of companies plan to compete primarily on the basis of the customer experience by 2016 Gartnerfoundthat: Source: Winterberry Group, “The Global Review of Data-Driven Marketing and Advertising,” Nov 5, 2014
- 4. Organizational Barriers to Realizing Customer-Centricity @DWIN1 @MEDIAMATH
- 5. A Customer Journey Has Multiple Touch Points @DWIN1 @MEDIAMATH
- 6. [ ] Activate Data [ ] Personalize Messages [ ] Optimize Toward What Works [ ] Internal Alignment Best Practices In Realizing Customer-Centric Marketing @DWIN1 @MEDIAMATH
- 7. [1] Leverage Data Because siloed data is sad data @DWIN1 @MEDIAMATH
- 8. [2] Personalize Messages Relevance Is Key To A Customer-Centric Journey Prospecting Awareness, Engagement Remarketing Re-engagement, Purchase Retention Cross-Sell, Upsell, Loyalty @DWIN1 @MEDIAMATH
- 9. [3] Optimize Continuously Double down on what drives outcomes @DWIN1 @MEDIAMATH
- 10. [4] Internal Reorientation & Alignment… Break Down the Silos! @DWIN1 @MEDIAMATH
- 11. MediaMath provides one connected source providing access to addressable media in all channels to deliver more personalized messages @DWIN1 @MEDIAMATH
- 12. THANK YOU Edwin Lee Global VP, Retail @MediaMath @Dwin1 ©2014 MEDIAMATH INC