This document provides an overview of the big data and predictive analytics ecosystem by mapping out the key components. It shows how data flows from various sources through data management, processing, analytics and applications. It outlines different types of analytics and examples of applications across various vertical industries. The document also includes examples of real-time bidding and different players in the digital advertising ecosystem.
Big Data - How Marketing Has Revolutionised - by Sean SingletonDigital Annexe
Through BIG DATA, Marketeers can now blend human psychology and understanding with behavioural insights to create communication messages and platforms that do not only resonate with the consumer but find them where and when the information is most needed. At Digital Annexe, we believe BIG DATA is going to completely revolutionize the marketing industry forever in 5 key ways.
I volunteered my time to share about big data to those looking to understand the space.
This was for Networking with Grace, a group that is focused on helping those get back to work. I put this presentation together to help people learn about big data and how to transition their skill sets to the space.
How the Game is Changing: Big Data in RetailBill Bishop
At Brick Meets Click, we've been tracking retailing professionals' experiences and attitudes toward big data for two years now, and more than 100 professionals participated in the Oct. 2013 survey. The results confirm the increasingly important role big data is playing in "changing the game" of retailing.
Big Data Analytics and its Application in E-CommerceUyoyo Edosio
Abstract-This era unlike any, is faced with explosive
growth in the size of data generated/captured. Data
growth has undergone a renaissance, influenced
primarily by ever cheaper computing power and
the ubiquity of the internet. This has led to a
paradigm shift in the E-commerce sector; as data is
no longer seen as the byproduct of their business
activities, but as their biggest asset providing: key
insights to the needs of their customers, predicting
trends in customer’s behavior, democratizing of
advertisement to suits consumers varied taste, as
well as providing a performance metric to assess the
effectiveness in meeting customers’ needs.
This paper presents an overview of the unique
features that differentiate big data from traditional
datasets. In addition, the application of big data
analytics in the E-commerce and the various
technologies that make analytics of consumer data
possible is discussed.
Further this paper will present some case studies of
how leading Ecommerce vendors like Amazon.com,
Walmart Inc, and Adidas apply Big Data analytics in
their business strategies/activities to improve their
competitive advantage. Lastly we identify some
challenges these E-commerce vendors face while
implementing big data analytic
Learn how retailers can leverage their own Big Data. Go from data sources to increasing profits, margins and market share at a fraction of the time and cost.
Big Data - How Marketing Has Revolutionised - by Sean SingletonDigital Annexe
Through BIG DATA, Marketeers can now blend human psychology and understanding with behavioural insights to create communication messages and platforms that do not only resonate with the consumer but find them where and when the information is most needed. At Digital Annexe, we believe BIG DATA is going to completely revolutionize the marketing industry forever in 5 key ways.
I volunteered my time to share about big data to those looking to understand the space.
This was for Networking with Grace, a group that is focused on helping those get back to work. I put this presentation together to help people learn about big data and how to transition their skill sets to the space.
How the Game is Changing: Big Data in RetailBill Bishop
At Brick Meets Click, we've been tracking retailing professionals' experiences and attitudes toward big data for two years now, and more than 100 professionals participated in the Oct. 2013 survey. The results confirm the increasingly important role big data is playing in "changing the game" of retailing.
Big Data Analytics and its Application in E-CommerceUyoyo Edosio
Abstract-This era unlike any, is faced with explosive
growth in the size of data generated/captured. Data
growth has undergone a renaissance, influenced
primarily by ever cheaper computing power and
the ubiquity of the internet. This has led to a
paradigm shift in the E-commerce sector; as data is
no longer seen as the byproduct of their business
activities, but as their biggest asset providing: key
insights to the needs of their customers, predicting
trends in customer’s behavior, democratizing of
advertisement to suits consumers varied taste, as
well as providing a performance metric to assess the
effectiveness in meeting customers’ needs.
This paper presents an overview of the unique
features that differentiate big data from traditional
datasets. In addition, the application of big data
analytics in the E-commerce and the various
technologies that make analytics of consumer data
possible is discussed.
Further this paper will present some case studies of
how leading Ecommerce vendors like Amazon.com,
Walmart Inc, and Adidas apply Big Data analytics in
their business strategies/activities to improve their
competitive advantage. Lastly we identify some
challenges these E-commerce vendors face while
implementing big data analytic
Learn how retailers can leverage their own Big Data. Go from data sources to increasing profits, margins and market share at a fraction of the time and cost.
BI & Big data use case for banking - by rully feranataRully Feranata
Big Data and all about its business case in banking industry - how it will change the landscape and how it can be harness in order organization to stay ahead of the game
Big Data in Retail - Examples in ActionDavid Pittman
This use case looks at how savvy retailers can use "big data" - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time analytics and results. For more information, visit http://www.IBMbigdatahub.com
Follow us on Twitter.com/IBMbigdata
Elevating customer analytics - how to gain a 720 degree view of your customerActian Corporation
big data creates significant opportunities for marketers. Using big data analytics tools, marketers can improve decision making, deliver better value for their marketing spend, create truly personalized customer experiences, and understand their audience at the level of each individual consumer.
Leveraging Service Computing and Big Data Analytics for E-CommerceKarthikeyan Umapathy
Panel discussions on Leveraging Service Computing and Big Data Analytics for E-Commerce at the Workshop on e-Business (WeB) 2015 held on December 12, 2015 at Fort Worth, Texas, USA.
Big Data presence in the high volume in the data storages can help in various ways to learn more about the need and trends of the current market which will be useful for all type of organizations. Modern information technology used to analyze the relationship between social trends and market insights is a useful way to have indirectly interlinked to customers and their interests from unstructured and semi-structured data. Such analysis will give organizations a broader view towards the practical needs of customers and once banking industry or any industry could know the customers, they can serve better and with more flexibility. In this presentation, team has primarily created the platform and designed the architecture in big data technology for banking industry to maximize the users of credit card.
Teradata Integrated Web Intelligence captures detailed data from online behavior and integrates it with other interactive channels and enterprise data to turn your Enterprise Data Warehouse from Teradata into a powerful marketing tool. Now you can combine online data with traditional offline data in a single location to gain insights into customer behavior that increase the effectiveness and efficiency of your marketing spend across all channels.
For more information, visit www.teradata.com
Cheap data storage and high-performance analytics are going to change the face of retail sector. And big data is going to play pivotal role in this technological revolution. You can find other reports related to Big data at http://www.marketresearchreports.com/big-data
Moving Forward with Big Data: The Future of Retail AnalyticsBill Bishop
Out new report Moving Forward with Big Data: The Future of Retail Analytics goes deeper into new territory that's relevant to changes taking place across retailing.
It calls out significant progress in the past 9 months.
• The definition of big data has grown beyond technical, i.e. “what it is,” to include “what it does.”
• A lot more companies are executing big data projects (an increase from < 20% to now 65% of sample respondents).
• Most of the focus is on driving top line growth.
Big Data in Industry
Many believe that Big Data is a new asset which will help companies catapult others to become the best in class.
What is it about Big Data that is so appealing across industries? Simply, data is intertwined into every sector and function in the global economy and much of modern economic activity would not be able to take place without data.
Big Data relates to large meres of data which can be brought together and then analyzed to inform decision making and discern patterns. The insights which Big Data brings, will become the basis of competition and growth for companies worldwide through further enhancing productivity as well as generating significant value for the global economy by increasing the quality of goods and services.
Previous trends in IT investment and innovation such as cloud adoption and the impact of this on competitiveness and productivity can be mirrored by Big Data which serves as a crucial way for large companies to outperform their competition. Across industries, time-honored competitors and new entrants to the market will use data-driven strategies to compete, innovate and seize value. The knowledge that big data brings informs the creation of new services and the design of future products. In fact, some companies are using Big Data to conduct controlled experiments to inform better management decisions.
http://www.extentia.com/service/big-data
www.extentia.com/contact-us
Why Do Banks Need A Customer Data Platform?Lemnisk
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.
Targeting the Moment of Truth - Using Big Data in RetailAmit Kapoor
Presentation on the business challenges of using Big Data in Retail with a bit of storytelling on why this is not new! @The Fifth Elephant conference in Bangalore on 28 July 2012
See the notes for more talking points.
eMarketer Webinar: Data Management Platforms—Using Big Data to Power Marketin...eMarketer
Join eMarketer for a discussion on how Data Management Platforms (DMPs) are enabling marketers to use their big data to make smarter and more efficient marketing decisions.
Utilising Data In Your Digital & PR Strategy - 3XE DigitalBranded3
Data journalism has been on the rise for years; nowadays a large proportion of news stories will include some form of data in the headline or body meaning as a PR having data in your campaign can significantly help its pick-up chances.
The problem with this is that some brands still insist that they have no data they can share or that it’s too expensive to acquire, this will run through the various ways we can overcome this to leverage data in campaigns.
This presentation covers not just how to use data as part of the story but also how to use data to inform the overall strategy, examples of data types are:
* Publicly available – e.g. from a FOI request, ONS
* Company data – e.g. sales trends
* Purchased – e.g. from a survey or third party
* Freely collected – e.g. generated from a quiz
Balancing Content & Big Data to Power PR Resultsprnewswire
Balancing Content & Big Data to Power PR Results will discuss:
- The rise of the data driven CMO
- How to more effectively communicate what you want to see to your PR team
Differences between the typical reports you might get from your PR team and your demand generation team
BI & Big data use case for banking - by rully feranataRully Feranata
Big Data and all about its business case in banking industry - how it will change the landscape and how it can be harness in order organization to stay ahead of the game
Big Data in Retail - Examples in ActionDavid Pittman
This use case looks at how savvy retailers can use "big data" - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time analytics and results. For more information, visit http://www.IBMbigdatahub.com
Follow us on Twitter.com/IBMbigdata
Elevating customer analytics - how to gain a 720 degree view of your customerActian Corporation
big data creates significant opportunities for marketers. Using big data analytics tools, marketers can improve decision making, deliver better value for their marketing spend, create truly personalized customer experiences, and understand their audience at the level of each individual consumer.
Leveraging Service Computing and Big Data Analytics for E-CommerceKarthikeyan Umapathy
Panel discussions on Leveraging Service Computing and Big Data Analytics for E-Commerce at the Workshop on e-Business (WeB) 2015 held on December 12, 2015 at Fort Worth, Texas, USA.
Big Data presence in the high volume in the data storages can help in various ways to learn more about the need and trends of the current market which will be useful for all type of organizations. Modern information technology used to analyze the relationship between social trends and market insights is a useful way to have indirectly interlinked to customers and their interests from unstructured and semi-structured data. Such analysis will give organizations a broader view towards the practical needs of customers and once banking industry or any industry could know the customers, they can serve better and with more flexibility. In this presentation, team has primarily created the platform and designed the architecture in big data technology for banking industry to maximize the users of credit card.
Teradata Integrated Web Intelligence captures detailed data from online behavior and integrates it with other interactive channels and enterprise data to turn your Enterprise Data Warehouse from Teradata into a powerful marketing tool. Now you can combine online data with traditional offline data in a single location to gain insights into customer behavior that increase the effectiveness and efficiency of your marketing spend across all channels.
For more information, visit www.teradata.com
Cheap data storage and high-performance analytics are going to change the face of retail sector. And big data is going to play pivotal role in this technological revolution. You can find other reports related to Big data at http://www.marketresearchreports.com/big-data
Moving Forward with Big Data: The Future of Retail AnalyticsBill Bishop
Out new report Moving Forward with Big Data: The Future of Retail Analytics goes deeper into new territory that's relevant to changes taking place across retailing.
It calls out significant progress in the past 9 months.
• The definition of big data has grown beyond technical, i.e. “what it is,” to include “what it does.”
• A lot more companies are executing big data projects (an increase from < 20% to now 65% of sample respondents).
• Most of the focus is on driving top line growth.
Big Data in Industry
Many believe that Big Data is a new asset which will help companies catapult others to become the best in class.
What is it about Big Data that is so appealing across industries? Simply, data is intertwined into every sector and function in the global economy and much of modern economic activity would not be able to take place without data.
Big Data relates to large meres of data which can be brought together and then analyzed to inform decision making and discern patterns. The insights which Big Data brings, will become the basis of competition and growth for companies worldwide through further enhancing productivity as well as generating significant value for the global economy by increasing the quality of goods and services.
Previous trends in IT investment and innovation such as cloud adoption and the impact of this on competitiveness and productivity can be mirrored by Big Data which serves as a crucial way for large companies to outperform their competition. Across industries, time-honored competitors and new entrants to the market will use data-driven strategies to compete, innovate and seize value. The knowledge that big data brings informs the creation of new services and the design of future products. In fact, some companies are using Big Data to conduct controlled experiments to inform better management decisions.
http://www.extentia.com/service/big-data
www.extentia.com/contact-us
Why Do Banks Need A Customer Data Platform?Lemnisk
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.
Targeting the Moment of Truth - Using Big Data in RetailAmit Kapoor
Presentation on the business challenges of using Big Data in Retail with a bit of storytelling on why this is not new! @The Fifth Elephant conference in Bangalore on 28 July 2012
See the notes for more talking points.
eMarketer Webinar: Data Management Platforms—Using Big Data to Power Marketin...eMarketer
Join eMarketer for a discussion on how Data Management Platforms (DMPs) are enabling marketers to use their big data to make smarter and more efficient marketing decisions.
Utilising Data In Your Digital & PR Strategy - 3XE DigitalBranded3
Data journalism has been on the rise for years; nowadays a large proportion of news stories will include some form of data in the headline or body meaning as a PR having data in your campaign can significantly help its pick-up chances.
The problem with this is that some brands still insist that they have no data they can share or that it’s too expensive to acquire, this will run through the various ways we can overcome this to leverage data in campaigns.
This presentation covers not just how to use data as part of the story but also how to use data to inform the overall strategy, examples of data types are:
* Publicly available – e.g. from a FOI request, ONS
* Company data – e.g. sales trends
* Purchased – e.g. from a survey or third party
* Freely collected – e.g. generated from a quiz
Balancing Content & Big Data to Power PR Resultsprnewswire
Balancing Content & Big Data to Power PR Results will discuss:
- The rise of the data driven CMO
- How to more effectively communicate what you want to see to your PR team
Differences between the typical reports you might get from your PR team and your demand generation team
Are you confused on how to use Brandwatch to track campaigns and influencers? In this presentation, you will learn the above plus, how share of voice and competitive benchmarking can improve your PR efforts.
Show me the data. Where big data meets PR #PRshow13Eb Adeyeri
The implications of big data affect all parts of an organisation. The tsunami wave of social and digital activity means that organisations have more information to help inform and guide their activity than ever before. Find out what big data means for the public relations profession and how to embrace the challenges and opportunities it presents.
Data-driven PR – how data and digital can secure real change on a budget. PR ...CharityComms
Matt Hartley, communications manager, Money Advice Trust
Visit the CharityComms website to view slides from past events, see what events we have coming up and to check out what else we do: www.charitycomms.org.uk
Harnessing the Power (and Credibility) of Data in your PR StrategyAudree Lapierre
Data is taking an increasingly important place in our society, and in the ways we communicate professionally and personally.
From corporations to governments & non-profits, we're seeing data used in increasingly clever ways to explain complex phenomenon or trends, raise awareness of a variety of issues, and strengthen transparency and credibility. Major newspapers such as the New York Times and the Washington Post (not to mention the online media world) are exploring these new types of narratives, where data and interaction act as core elements in engaging an audience.
In this visually rich presentation, you will discover how data can be integrated in your communication strategies and learn about the do's and don'ts of working with data. A crucial presentation for those planning to engage in the new era of PR.
Open Source Framework for Deploying Data Science Models and Cloud Based Appli...ETCenter
Next generation applications address more sophisticated questions that go beyond 'What happened?' by using Machine Learning/Statistical modelling to answer 'Why?' and 'What will happen next? Data insights can be easily deployed and rapidly delivered to the decision makers via cloud based applications. This framework focuses on technologies available for the entire data workflow from ingestion and modeling to cloud deployment; Hadoop, MADlib, Python, R, CloudFoundry, etc. This presentation will also include examples of how this framework and innovative Data Science techniques have been applied across diverse business units within Media, including pricing analyses for ad optimization and predicting viewership.
Driving Customer Loyalty with Azure Machine LearningCCG
Learn how you can leverage the elastic, on-demand processing power of Microsoft Azure to create faster, more applicable analytics by viewing this informative webinar. Data Scientist and Author, Ahmed Sherif, demonstrates key analytic use cases that can be spun up quickly with minimal effort and maximum return on investment. To watch the full recording of this webinar, visit http://ccgbi.com/resources/webinars/driving-customer-loyalty-with-AML
How To Pick The Best Analytics Tools: Product Analytics Landscape
Here, we’ll talk about assessment criteria, key features, and greater for deciding on systems and gear that match your enterprise app development desires.
Choosing the right solution for your data
Because massive facts apply to the sort of huge spectrum of use app development instances, packages, and industries, it’s difficult to nail down a definitive listing of choice criteria.
Types of data analytics tools & key features
What is the gear used for massive facts analytics? Data analytics tools gear constitute a huge category, though they have a tendency to fall into some key groups.
Customer data platforms
Customer data platforms like customer relationship management platforms (CRM) seize purchaser facts that may be used to enhance strategies or promote products. However, CDPs take matters to the following level.
Core capabilities:
• 360-diploma view of the purchaser.
• Connect more than one fact source.
• Unifies purchaser facts throughout all linked structures.
• Improve concentrated on for advertising campaigns.
Business intelligence (BI) tools
Today’s business intelligence (BI) assists companies to see iOS app development and apprehend facts. According to gartner, BI gear span 3 major categories. Online analytical processing, or OLAP, permits fact discovery, ad-hoc reporting, simulation fashions, overall performance control, and different complicated evaluation abilities. There’s additionally statistics transport–which serves up insights within the shape of visualizations, reports, and dashboards. And finally, BI integration–which offers metadata control and imparting app developers surroundings to assist your method.
Core capabilities:
• Data visualization.
• Predictive modeling.
• Data mining.
• Forecasting.
Customer analytics tools
Customer analytics is designed to control the overall analytics technique from guidance to perception generation. In maximum instances, purchaser analytics systems include web development pre-built facts fashions for forecasting, propensity to buy, and numerous statistical evaluation strategies to apprehend purchaser conduct and optimize products, offerings, and reports.
Core capabilities:
• Granular segmentation.
• Customer satisfaction Insights.
• Statistical modeling.
• Acquisition, retention, & churn metrics.
Digital experience platforms
Digital experience platforms is a new kind of enterprise-grade software development designed to optimize the purchaser revel in at each touchpoint. While DXPs overlap with purchasers revel in control systems, DXPs cognizance greater on streamlining strategies, coordinating and personalizing content material to customers throughout an extensive variety of channels which include the Internet of Things (IoT), virtual assistants, VR reports, and greater.
Core capabilities:
• API-first structure.
• Multi-touchpoint control.
• Dynamic templates for automating personalization.
• Content control and transport.
Welcome to big data use case course. In this course we will talk about what is big data? Who are using it and at the end we will share the lessons learnt from the early adopters. Big Data is an umbrella term used to refer the technology behind collecting and analyzing large volume of data at a fast speed. In last few years, number of devices and services customers use, have increased multi fold. As customers are using more of every thing, they are creating more data. By inter connecting these data, you can know your customer better and provide a better service. Big Data helps you in storing and connecting these data.
Analytic next gen usecases - presented for ISB, HyderabadSandeep akinapelli
How the big data platforms are empowering to 1) build market mix modeling and digital attribution and help make marketing budget decision 2) financial institutions to tackle new generation usecases.
Applied Analytics for Real-Time Decision SupportAnametrix
Anametrix is the only marketing analytics platform to combine real-time performance feedback with multichannel predictive modeling for comprehensive insights and powerful decision support. By collecting, analyzing and making sense out of data from virtually any source, Anametrix enables marketers to act on multichannel data to drive revenue and profitability.
Our real-time dashboards present a unified view of paid, owned and earned media to assess marketing performance. Our next-generation analytics platform also enables marketers to perform diagnostic analysis, drill-down segmentation and predictive modeling to improve campaign results, lower acquisition costs, drive loyalty, increase ad monetization and expand customer lifetime value.
Ecommerce and Digital Marketing PersonalizationFabiana Pereira
- Setup required for personalized communication and customer-centric insights
- Core ecommerce governance
- Core ecommerce functions
- Digital marketing initiatives and KPIs
- Suggested initiatives per target goal
- Personalization use cases
- Top automated behavior-driven digital marketing paths
- Top customer segmentations
- Segmentation uses by channel
- Data required for personalization
- Customer 360 data warehouse specifications
- Start and target tech environment
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
SEO as the Backbone of Digital MarketingFelipe Bazon
In this talk Felipe Bazon will share how him and his team at Hedgehog Digital share our journey of making C-Levels alike, specially CMOS realize that SEO is the backbone of digital marketing by showing how SEO can contribute to brand awareness, reputation and authority and above all how to use SEO to create more robust global marketing strategies.
Mastering Multi-Touchpoint Content Strategy: Navigate Fragmented User JourneysSearch Engine Journal
Digital platforms are constantly multiplying, and with that, user engagement is becoming more intricate and fragmented.
So how do you effectively navigate distributing and tailoring your content across these various touchpoints?
Watch this webinar as we dive into the evolving landscape of content strategy tailored for today's fragmented user journeys. Understanding how to deliver your content to your users is more crucial than ever, and we’ll provide actionable tips for navigating these intricate challenges.
You’ll learn:
- How today’s users engage with content across various channels and devices.
- The latest methodologies for identifying and addressing content gaps to keep your content strategy proactive and relevant.
- What digital shelf space is and how your content strategy needs to pivot.
With Wayne Cichanski, we’ll explore innovative strategies to map out and meet the diverse needs of your audience, ensuring every piece of content resonates and connects, regardless of where or how it is consumed.
The What, Why & How of 3D and AR in Digital CommercePushON Ltd
Vladimir Mulhem has over 20 years of experience in commercialising cutting edge creative technology across construction, marketing and retail.
Previously the founder and Tech and Innovation Director of Creative Content Works working with the likes of Next, John Lewis and JD Sport, he now helps retailers, brands and agencies solve challenges of applying the emerging technologies 3D, AR, VR and Gen AI to real-world problems.
In this webinar, Vladimir will be covering the following topics:
Applications of 3D and AR in Digital Commerce,
Benefits of 3D and AR,
Tools to create, manage and publish 3D and AR in Digital Commerce.
Unleash the power of UK SEO with Brand Highlighters! Our guide delves into the unique search landscape of Britain, equipping you with targeted strategies to dominate UK search engine results. Discover local SEO tactics, keyword magic for UK audiences, and mobile optimization secrets. Get your website seen by the right people and propel your brand to the top of UK searches.
To learn more: https://brandhighlighters.co.uk/blog/top-seo-agencies-uk/
Digital Commerce Lecture for Advanced Digital & Social Media Strategy at UCLA...Valters Lauzums
E-commerce in 2024 is characterized by a dynamic blend of opportunities and significant challenges. Supply chain disruptions and inventory shortages are critical issues, leading to increased shipping delays and rising costs, which impact timely delivery and squeeze profit margins. Efficient logistics management is essential, yet it is often hampered by these external factors. Payment processing, while needing to ensure security and user convenience, grapples with preventing fraud and integrating diverse payment methods, adding another layer of complexity. Furthermore, fulfillment operations require a streamlined approach to handle volume spikes and maintain accuracy in order picking, packing, and shipping, all while meeting customers' heightened expectations for faster delivery times.
Amid these operational challenges, customer data has emerged as an important strategy. By focusing on personalization and enhancing customer experience from historical behavior, businesses can deliver improved website and brand experienced, better product recommendations, optimal promotions, and content to meet individual preferences. Better data analytics can also help in effectively creating marketing campaigns, improving customer retention, and driving product development and inventory management.
Innovative formats such as social commerce and live shopping are beginning to impact the digital commerce landscape, offering new ways to engage with customers and drive sales, and may provide opportunity for brands that have been priced out or seen a downturn with post-pandemic shopping behavior. Social commerce integrates shopping experiences directly into social media platforms, tapping into the massive user bases of these networks to increase reach and engagement. Live shopping, on the other hand, combines entertainment and real-time interaction, providing a dynamic platform for showcasing products and encouraging immediate purchases. These innovations not only enhance customer engagement but also provide valuable data for businesses to refine their strategies and deliver superior shopping experiences.
The e-commerce sector is evolving rapidly, and businesses that effectively manage operational challenges and implement innovative strategies are best positioned for long-term success.
10 Video Ideas Any Business Can Make RIGHT NOW!
You'll never draw a blank again on what kind of video to make for your business. Go beyond the basic categories and truly reimagine a brand new advanced way to brainstorm video content creation. During this masterclass you'll be challenged to think creatively and outside of the box and view your videos through lenses you may have never thought of previously. It's guaranteed that you'll leave with more than 10 video ideas, but I like to under-promise and over-deliver. Don't miss this session.
Key Takeaways:
How to use the Video Matrix
How to use additional "Lenses"
Where to source original video ideas
Top 3 Ways to Align Sales and Marketing Teams for Rapid GrowthDemandbase
In this session, Demandbase’s Stephanie Quinn, Sr. Director of Integrated and Digital Marketing, Devin Rosenberg, Director of Sales, and Kevin Rooney, Senior Director of Sales Development will share how sales and marketing shapes their day-to-day and what key areas are needed for true alignment.
Search Engine Marketing - Competitor and Keyword researchETMARK ACADEMY
Over 2 Trillion searches are made per day in Google search, which means there are more than 2 Trillion visits happening across the websites of the world wide web.
People search various questions, phrases or words. But some words and phrases are searched
more often than others.
For example, the words, ‘running shoes’ are searched more often than ‘best road running
shoes for men’
These words or phrases which people use to search on Google are called Keywords.
Some keywords are searched more often than others. Number of times a keyword is searched
for in a month is called keyword volume.
Some keywords have more relevant results than others. For the phrase “running shoes” we
get more than 80M relevant results, whereas for “best road running shoes for men” we get
only 8.
The former keyword ‘running shoes’ has way more competition from popular websites to
new and small blogs, whereas the latter keyword doesn’t have that much competition. This
search competition for a keyword is called search difficulty of a keyword or keyword
difficulty.
In other words, if the keyword difficulty is ‘low’ or ‘easy’, there won’t be any competition
and if you target such keywords on your site, you can easily rank on the front page of Google.
Some keywords are searched for, just to know or to learn some information about something,
that’s their search intention. For example, “What shoe size should I choose?” or “How to pick
the right shoe size?”
These keywords which are searched just to know about stuff are called informational
keywords. Typically people who are searching this type of keywords are top of a Conversion
funnel.
Conversion funnel is the journey that search visitors go through on their way to an email
subscription or a premium subscription to the services you offer or a purchase of products
you sell or recommend using your referral link.
For some buyers, research is the most important part when they have to buy a product.
Depending on that, their journey either widens or narrows down. These types of buyers are
Researchers and they spend more time with informational keywords.
Conversion is the action you want from your search visitors. Number of conversions that you
get for every 100 search visitors is called Conversion rate.
People who are at different stages of a conversion funnel use different types of keywords.
Is AI-Generated Content the Future of Content Creation?Cut-the-SaaS
Discover the transformative power of AI in content creation with our presentation, "Is AI-Generated Content the Future of Content Creation?" by Puran Parsani, CEO & Editor of Cut-The-SaaS. Learn how AI-generated content is revolutionizing marketing, publishing, education, healthcare, and finance by offering unprecedented efficiency, creativity, and scalability.
Understanding
AI-Generated Content:
AI-generated content includes text, images, videos, and audio produced by AI without direct human involvement. This technology leverages large datasets to create contextually relevant and coherent material, streamlining content production.
Key Benefits:
Content Creation: Rapidly generate high-quality content for blogs, articles, and social media.
Brainstorming: AI simulates conversations to inspire creative ideas.
Research Assistance: Efficiently summarize and research information.
Market Insights:
The content marketing industry is projected to grow to $17.6 billion by 2032, with AI-generated content expected to dominate over 55% of the market.
Case Study: CNET’s AI Content Controversy:
CNET’s use of AI for news articles led to public scrutiny due to factual inaccuracies, highlighting the need for transparency and human oversight.
Benefits Across Industries:
Marketing: Personalize content at scale and optimize engagement with predictive analytics.
Publishing: Automate content creation for faster publication cycles.
Education: Efficiently generate educational materials.
Healthcare: Create accurate content for patients and professionals.
Finance: Produce timely financial content for decision-making.
Challenges and Ethical Considerations:
Transparency: Disclose AI use to maintain trust.
Bias: Address potential AI biases with diverse datasets.
SEO: Ensure AI content meets SEO standards.
Quality: Maintain high standards to prevent misinformation.
Conclusion:
AI-generated content offers significant benefits in efficiency, personalization, and scalability. However, ethical considerations and quality assurance are crucial for responsible use. Explore the future of content creation with us and see how AI is transforming various industries.
Connect with Us:
Follow Cut-The-SaaS on LinkedIn, Instagram, YouTube, Twitter, and Medium. Visit cut-the-saas.com for more insights and resources.
Digital marketing is the art and science of promoting products or services using digital channels to reach and engage with potential customers. It encompasses a wide range of online tactics and strategies aimed at increasing brand visibility, driving website traffic, generating leads, and ultimately, converting those leads into customers.
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TechConnectr's Big Data Connection. Digital Marketing KPIs, Targeting, Analytics, & Optimization
1. Deep Dive
Marketing Big Data and Predictive
Analytics
Bob Samuels
TechConnectr.com
TechConnectr@gmail.com
@techconnectr
Graphic Source: Gleanster - An Intro to Big Data for Marketers
3. BI Platform / Reporting
OSS
Visualizations
Unstructured / Search
Indexing / Metadata
Search
NLP
Hadoop Analytics
Hadoop Dev Platforms / Automation
HDFS
Predictive Analytics
“Big Data” EcoSystemAPPLICATIONSTOOLSDATAMANAGEMENT
STRUCTURED UNSTRUCTURED
Transactional
DB
OSS
High Performance
Analytical DB
NewSQL
Enhancement
Distributed
NoSQL
Graph Document
Key Value /
Column
Enterprise
Apps
Internet
Apps
Social Media Web Content Mobile Devices Camera / DVR Sensors / RFID Logfiles
Hadoop
aaS
HDFS Alternatives
DBaaS
HANA
GraphDB
Filesystem
EMR
Text / Sentiment Analysis
Data as a Service
Data
Warehouses
vFabricL
Drill
Vertical Market Applications
Impala
Messaging Optimization Data Integration / CEP
OSS
IMDG
Redshift
Based on Source: Perella Weinberg Partners
AI
5. Bob Samuels
The TechConnectr – www.techconnectr.com
Cell: 408-206-5858
Strategic * Marketing Analytics * Client & Partner Door Opening * Demand Generation & Nurturing * Financial ROI Optimization
Real-Time-Bidding eMail Recommendation Engine Search Demand Side Platforms CRM Loyalty Programs
Display Web Analytics Games Customer Experience Mobile / Location SEO Video
Targeting / Personalization Community / Social Marketing Automation Yield Optimization Re-Targeting
Data Management Platform Sharing Tools Integrated Marketing Management Feedback / Surveys
Corporate Structured Data
Structured / Unstructured
Content Management
Data as a Service
Web Content / Search
Social Media
Images / Video
Mobile / Location
Sensors / RFID / Satellite
Machine / Log Files
Customer Personalization
Digital Mktg / eCommerce
Healthcare / Bioscience
Insurance / Risk Mgmt
Investment Management
Telecom / Utilities
IT & Operations
Manufacturing / Logistics
Oil & Gas Exploration
Government & Defense
Business Intelligence
Dashboards / KPIs
Data Discovery
Descriptive Analytics
Statistical Packages
Predictive Analytics
Machine Learning
Prescriptive Analytics
Decision Management
Graphs / Visualization
Hardware & Infrastructure
Natural Language Processing
ETL / ELT
Data Integration
Data Governance
Marshalling
MapReduce
Databases
Hadoop / In-Memory
Distributed File Systems
Digital Marketing Applications
DATA SOURCES DATA PROCESSING DATA ANALYTICS APPLICATIONS
6. Multi-channel two-way messaging
Website
Mobile site
Mobile app
CRM / ERP
POS
Call Center / IVR
Email
Display
Social
DATA
LAYER
Onsite
Online
Offline
Customer
History &
Profile
Credits to Ensighten for graphics
8. Increasing Value of Data
Data- BI – Predictive - Prescriptive
PrescriptivePredictiveBiz IntelligenceData Mining
9. Another way to look at Analytics Levels
Dash
Boards
Analytics
Prescriptive
Pivots
Predictive
http://practicalanalytics.wordpress.com/2011/05/01/the-vendor-landscape-of-bi-and-analytics/
10.
11. Business Intelligence Analytics / Visualization
Big Data BI & Analytics/Visualization
Solution Providers
Oracle Essbase Laurén
15. Example: Recommend Engine
Targeted eMail & Web Messaging & Timing
• Provide Recommended Action: re: Predictive Analytics and Patterns:
– Marketing spend effectiveness (how much to spend)
– Targeting (who to target; when, with what message; what medium)
– Promotion differentiation (how to differentiate offers)
– Contact strategy (how to contact customers over time)
• Targeting Precision by Groups / Clusters: (examples below)
– New: Predict lead conversion, welcome second offer; high predicted LTV
– Growth: Based on product interest browsing; Cart – Behavioral, Brand, Need Clustering & AOV
– At Risk – high value at risk; disengaged; high returns, complaints
– Lapsed – need-based cluster re: reactivation; Focus: high value-high size of wallet
• Use Collaborative Filtering & Clustering; Propensity Modeling
– Use in different contexts to solve different problems
– Start grouping by product behavior. And build in range.
• i.e. Shoe Retailer – distinguish moms from jocks from execs – clusters
– Can start contextualizing the email or the website for the individual
• Relevant, personalized eMail & web benefits include:
– Increase open and click rates while minimizing unsubscribe rates
– Predict which customers are most likely to engage, reactivate or complain
– Customize email frequency and content by customer segment
– Measure and optimize the ROI of email campaigns for specific customers
– Maximize email revenue and campaign performance
16. Unique Selling Proposition
• Relevance.. Key to e-marketing success
• Help identify which data us useful and which isn’t
• Help identify which algorithms are most useful
• Customer-focused & Marketing-focused analytics
– Better Relations with Customers (Satisfaction; Up-sell; Retention, Targeting to specific actions &
interests; Risk Management)
– Spend Marketing Money Wisely - Customer Acquisition; SEM, SEO, etc)
• Multi-media Sources – ex: are they up for renewal; which emails are they responsive
to; what pages are they looking at on website; any calls / complaints / inquiries;
• Predictive Analytics:
– Detect Changes of Behavior; Sources; Trends – quantity, quality – risks & opportunities
– Group – Buying Pattern; look at DNA; ie based on what they buy.. Old vs athletes, region
• With that, may merchandisestore, email differently
• clusteringmodels for products,brand and behavior.
– Predicting what is going to happen – what is likelihood of coming back to store, buy
– Correlative – if bought this, what is next thing to buy… look at similar person, neighbors
• Support
• UI / Ease of Use – run reports & analyses – answer questions
• Customer Metrics, Advanced Clustering, & Predictive Analytics Models
• Interfaces & APIs – social, web, email, POS, CRM, ERP, ESPs
24. Ad Exchanges & DSPs
Online Ad Exchanges DSPs
Examples: Yahoo! bought Right Media in April, Google
bought DoubleClick in May and Microsoft bought AdECN
in August , all in 2007
Examples: DataXu, Invite Media (acquired by Google in
2010), Turn, Mediamath, Xplusone, AppNexus, Acuity
Ads, (Rocket Fuel)
Enable bid-based ad “trades” between buyers and
sellers on their platforms. In this case, media buyers
have to use a different system to access each exchange.
DSPs allow media buyers to buy from multiple biddable
media sources through a single interface, which gives
buyer access to more liquid inventory.
Buying from multiple exchanges is time consuming and
inefficient from companies.
Manage, optimize, and execute bid-based buys. DSPs
also feature algorithmic optimization capabilities that
dynamically alter bid prices based on performance data.
Ad Exchanges is a layer below DSP.
DSP is a layer on top of AD exchanges. These companies
can access inventory from multiple exchanges with no
need to aggregate inventory through relationships with
publishers.
Typical campaign buys from multiple ad exchange so it is
difficult to achieve unique reach or optimal frequency.
Reach and frequency can be better controlled using one
interface.
Use of DSPs is constantly growing, but is still a small share in Overall Display Media Buying
Source: http://www.shilpagupta4.com/2011/09/09/quick-guide-to-demand-side-platform-dsp/