Take a read of the presentation our CRO Director gave at the Festival of Marketing 2017 on the top 10 tips to help you implement Website Personalisation.
Customer Journey Mapping 2.0: Best Practices for Creating Differentiated Expe...G3 Communications
The document describes a customer journey mapping exercise for a beauty retailer. It identifies key stages in the customer journey from discovery to loyalty. For each stage, it outlines typical customer activities both digitally and in-store. It then details the goals, motivations, needs and feelings customers likely experience at each stage. The purpose is to understand the full path to purchase and identify opportunities to improve the customer experience across all touchpoints.
Is that a Time Machine? Some Design Patterns for Real World Machine Learning ...Justin Basilico
Talk from ICML 2016 workshop on Machine Learning Systems about some design patterns we use at Netflix for building machine learning systems. In particular, focusing on avoiding problems that can come up with differences between offline (experimental/lab) and online (live/production) code and data.
How prepared is your organization for the imminent loss of third-party data?
Are you ready for first-party data to take center stage in your marketing strategy?
Maybe you’re feeling unsure of how to use first-party data?
While cookies going away will reduce your access to third-party data, you can still strike the right balance with your acquisition strategies and provide your customers with personalized experiences.
Join our webinar to learn how to design a future-proof strategy that maximizes the potential of your first-party data in a cookieless world.
You'll discover:
- Why activating your first-party data is crucial in a cookieless world.
- How to leverage your first-party data in a future-proof way.
- How to build your organization's first-party data capabilities.
Vishal Maru, Vice President of Digital Solutions at iQuanti, will explain how enterprises can embrace the power of first-party data and better connect with their customers.
Most industries and organizations have still yet to fully utilize the power of first-party data in their strategies.
Learn how to create a personalized user experience, improve your retargeting strategy, identify patterns, and predict future trends to steer your organization toward more successful campaigns.
Pemberton launched a test of its new product Krispy Natural crackers in two regions. In Columbus, Ohio, Krispy Natural achieved an 18% market share, doubling the target. However, in southeastern cities, it only gained 1% share due to lower distribution and displays from retailers based on past negative experiences. While product quality was appreciated, reestablishing the brand was difficult. Pemberton will need to carefully plan national expansion to counter competitive responses and change strategies based on regional differences.
Dr. Beckett runs a dental clinic that was in need of improvements to increase efficiency and address rising overhead costs. The clinic's mission is to provide superior dentistry in an efficient and profitable manner while maintaining a caring environment. To achieve this, Dr. Beckett plans to differentiate her services and adopt a strategy of premium pricing to gain a competitive advantage. She addresses common patient concerns about visiting the dentist by creating a relaxing environment, educating patients, and offering various amenities. Supplementary services like an entertainment area and financial management tools also help enhance service delivery and operations at the clinic.
This document provides an overview and agenda for presenting OnDemand, an enhanced water beverage, to casual to heavy users of the category. The presentation will explore the competitive landscape, target consumer, brand positioning, and creative and media implications. Research on category perceptions, spending habits, and media usage of the target millennial consumer will inform the brand and positioning statement. A mix of digital, radio, and outdoor advertising is recommended to build brand recognition and drive trial among 25-34 year olds seeking healthier lifestyles.
“You can download this product from SlideTeam.net”
Analyse the human behavior trend to increase the effectiveness of products and services for the consumers. Use professionally designed content-ready Customer Insight PowerPoint Presentation Slides for the better understanding of consumer buying behavior to increase sales. Collect the required information about the customers to acquire, develop and retain customers. Incorporate ready-made customer insight PPT presentation slideshow to comprehend the customer’s choice for their favourite brand, their mindsets, motivations, moods, desires, aspirations, etc. This deck comprises of templates such as research methodology, consumer insight assumptions, need for consumer insights, key statistics, data collection and processing, consumer insight capabilities, consumer insight components, consumer insight characteristics, consumer insight key elements, YouTube analytics, google audience retention tool, google trends, google analytics, consumer insight maturity matrix, consumer engagement principles, etc. These templates are editable. Change color, text, icon, and font size as per your need. Add or remove content, if needed. Get access to the ready-made customer insight PowerPoint templates to connect the interests of the consumer with features of the brand. Advise folks on how to decide correctly with our Customer Insight Powerpoint Presentation Slides. Be able to guide the injudicious. https://bit.ly/3Bo87wP
Presentation at the Netflix Expo session at RecSys 2020 virtual conference on 2020-09-24. It provides an overview of recommendation and personalization at Netflix and then highlights some of the things we’ve been working on as well as some important open research questions in the field of recommendations.
This is a digital marketing plan created in Word for a shopping comparison website that covers the marketinf audit, analysis, objectives, market segments, strategy, promotions, budget, control and timeline
Talk with Yves Raimond at the GPU Tech Conference on Marth 28, 2018 in San Jose, CA.
Abstract:
In this talk, we will survey how Deep Learning methods can be applied to personalization and recommendations. We will cover why standard Deep Learning approaches don't perform better than typical collaborative filtering techniques. Then we will survey we will go over recently published research at the intersection of Deep Learning and recommender systems, looking at how they integrate new types of data, explore new models, or change the recommendation problem statement. We will also highlight some of the ways that neural networks are used at Netflix and how we can use GPUs to train recommender systems. Finally, we will highlight promising new directions in this space.
Correlation, causation and incrementally recommendation problems at netflix ...Roelof van Zwol
Within Netflix, personalization is a key differentiator, helping members to quickly discover new content that matches their taste. Done well, it creates an immersive user experience, however when the recommendation is out of tune, it is immediately noticed by our members. During this presentation I will cover some of the personalization and recommendation tasks that jointly define the Netflix user experience that entertains more that 130M members world wide. In particular, I will focus on several of the algorithmic challenges related to the launch of new Netflix originals in the service, and go over concepts such as causality, incrementality and explore-exploit strategies.
The research presented in this talk represents the collaborative efforts of a team of research scientists and engineers at Netflix on our journey to create best in class user experiences.
China’s influencer marketing industry is well ahead of the rest of the world. The
advanced functionality and integration of social media, e-commerce and mobile
payments has enabled the Chinese KOL and KOC economy to grow at a pace not
seen anywhere else in the world. This growth has been accelerated by the Covid-19
pandemic and the consequent prevention measures that included closing physical
stores, dining in, in-person events and sporadic district lockdowns. These measures
have led to a significant increase in the amount of time Chinese consumers spend
on the internet. In fact, the average Chinese consumer today spends over seven
hours a day on the internet . About two-thirds of those seven hours is spent using
social or content apps, as users increasingly seek information about the world
around them through social media, influencers and friends to help make purchase
decisions.
PJdaren’s preliminary estimates suggest that from September 2021 to October 2022
there were more than 10.1 million KOLs and KOCs across China’s social media
ecosystem with a fan base of over 10,000 followers – a figure larger than anything
seen elsewhere in the world. China’s influencers published an average of 38.3 million
posts on a daily basis.
PJDAREN INSIGHTS 4
CHINA’S INFLUENCER MARKETING INDUSTRY
Introduction
According to the National
Bureau of Statistics, China’s
influencer economy grew
from CN¥241.9 billion (US$
38.5 billion) in 2018 to CN¥1.3
trillion (US$210 billion) in 2020.
It is estimated that by the
year 2025, the total market
size of China’s influencer
economy will reach CN¥6.7
trillion (US$1.035 trillion).
Ho Kwon Ping founded Banyan Tree resorts in 1994 after losing his family's food and property businesses to low-cost competitors. He saw a gap in the luxury resort market between very expensive boutique resorts and large hotel chains. Banyan Tree aimed to provide intimate, private villas with their own pools and spas, native furnishings, and cultural experiences starting at $500-2500 per night. The first resort opened in Phuket, Thailand, and the brand soon expanded to other locations emphasizing blending into the natural environment, supporting local communities, and promoting sustainability. By 2004 Banyan Tree had over 15 resorts, 35 spas, and 38 retail shops across 20 countries in Asia and the
The document discusses how shopper behavior is changing due to time constraints and lifestyle changes. It analyzes different shopper need states and how retailers can adapt merchandising and store layout to satisfy these evolving needs. Key insights include that cleanliness, selection, and convenience are very important to shoppers. The beverage category can be organized into different consumer need states that retailers should clearly message to drive shopper conversion.
Transform your marketing and sales capabilities with Big Data and A.I
1) Why is Customer Data Platform (CDP) ?
Case study: Enhancing the revenue of your restaurant with CDP and mobile app marketing
Question: Why can CDP disrupt business model for restaurant industry (B2C) ?
2) How would CDP work in practice ?
Introducing USPA.tech as logical framework for implementing CDP in practice
How Can a Customer Data Platform Enhance Your Account-Based Marketing Strategy (B2B) ?
3) How can we implement CDP for business?
Introducing the CDP as customer-first marketing platform for all industries (my key idea in this slide)
Building a Foundational Tech Stack to Support Your First-Party Data StrategyTinuiti
D2C has led the way by building direct relationships with consumers, which has become essential across the retail landscape now that first-party data is king. In this 2-day virtual event, we discuss the emerging trends in 2021 and how brands can adapt their approach to meet ever-changing consumer expectations.
10 Steps to create a sucessfull e-commerce strategy - 10 passi per creare un ...Federico Gasparotto
Quali sono i 10 passi per creare un e-commerce di successo? Value proposition, Business planning, Channels integration, organisation transformation, Direct marketing, Commercial strategy, assortment planning, Product datatsheet, User Experience
Citroën Performance and Branding Plan1.pptxSaurabh Mishra
This plan was created to build Brand presents in India for newly launched automobile brand It predicted They are extremely popular in Europe But This was the first Their first campaign In India for launch. Plan includes complete Information about branding strategy and how we can leverage branding cookies for final conversions
Crafting Recommenders: the Shallow and the Deep of it! Sudeep Das, Ph.D.
Sudeep Das presented on recommender systems and advances in deep learning approaches. Matrix factorization is still the foundational method for collaborative filtering, but deep learning models are now augmenting these approaches. Deep neural networks can learn hierarchical representations of users and items from raw data like images, text, and sequences of user actions. Models like wide and deep networks combine the strengths of memorization and generalization. Sequence models like recurrent neural networks have also been applied to sessions for next item recommendation.
A Multi-Armed Bandit Framework For Recommendations at NetflixJaya Kawale
In this talk, we present a general multi-armed bandit framework for recommendations on the Netflix homepage. We present two example case studies using MABs at Netflix - a) Artwork Personalization to recommend personalized visuals for each of our members for the different titles and b) Billboard recommendation to recommend the right title to be watched on the Billboard.
Netflix was a trailblazing innovator in machine learning as applied to personalization and recommendation systems but there are many other applications of machine learning at Netflix, especially as we further evolve into a global entertainment company. This talk will give an overview of how machine learning is leveraged before content launches on Netflix and how machine learning can support the creative process and serve as a tool for decision makers in our content and marketing organization. The process of creating content is a high-touch, creative endeavor so we need to be similarly creative in the machine learning innovations we develop. From neural nets that predict audience size for content that doesn't exist yet, to NLP and deep learning techniques that mine scripts to highlight properties we need legal clearance for ... we are building unprecedented innovations. The talk will also broadly cover the challenges we face in this space, including data scarcity and making ML interpretable for non-technical stakeholders.
Making Netflix Machine Learning Algorithms ReliableJustin Basilico
This document discusses making Netflix machine learning algorithms reliable. It describes how Netflix uses machine learning for tasks like personalized ranking and recommendation. The goals are to maximize member satisfaction and retention. The models and algorithms used include regression, matrix factorization, neural networks, and bandits. The key aspects of making the models reliable discussed are: automated retraining of models, testing training pipelines, checking models and inputs online for anomalies, responding gracefully to failures, and training models to be resilient to different conditions and failures.
Interactive Recommender Systems with Netflix and SpotifyChris Johnson
Interactive recommender systems enable the user to steer the received recommendations in the desired direction through explicit interaction with the system. In the larger ecosystem of recommender systems used on a website, it is positioned between a lean-back recommendation experience and an active search for a specific piece of content. Besides this aspect, we will discuss several parts that are especially important for interactive recommender systems, including the following: design of the user interface and its tight integration with the algorithm in the back-end; computational efficiency of the recommender algorithm; as well as choosing the right balance between exploiting the feedback from the user as to provide relevant recommendations, and enabling the user to explore the catalog and steer the recommendations in the desired direction.
In particular, we will explore the field of interactive video and music recommendations and their application at Netflix and Spotify. We outline some of the user-experiences built, and discuss the approaches followed to tackle the various aspects of interactive recommendations. We present our insights from user studies and A/B tests.
The tutorial targets researchers and practitioners in the field of recommender systems, and will give the participants a unique opportunity to learn about the various aspects of interactive recommender systems in the video and music domain. The tutorial assumes familiarity with the common methods of recommender systems.
The document summarizes Katamiya Garden's marketing plan to establish itself as the leading venue for social and corporate events in Cairo, Egypt. It analyzes the fragmented event market, identifies competitors, and conducts a SWOT analysis. The plan positions Katamiya Garden as a luxury venue offering memorable experiences. It targets multiple age segments and outlines strategies for pricing, promotion, and partnerships to achieve its vision.
The document is a summer internship project report submitted by Rohit Singh about his internship at DS Drinks & Beverages Pvt. Ltd. It discusses the company profile of Dharampal Satyapal Group which owns DS Drinks & Beverages. It covers the group's history, expansion into various business sectors including FMCG, packaging, hospitality, and more. It also discusses the mineral water industry in India, catch beverages' competitors and target markets, and Rohit Singh's research methodology and objectives during the internship.
360 Degree View Of Customer Powerpoint Presentation SlidesSlideTeam
Increase consumer satisfaction and drive sales using these 360 Degree View Of Customer PowerPoint Presentation Slides. Take the assistance of our attention-grabbing customer mapping PowerPoint slideshow to drive ROI through various means like acquiring leads, increasing customer retention, etc. By utilizing these customer relationships PowerPoint templates you can elucidate the process of customer architecture that consists of consumer clustering, CRM analysis, real-time analytics, etc. Take advantage of these consumer lifecycle PPT visuals to reveal the components of 360 frameworks like CRM systems, DBMS, support ticketing, etc. Unveil the constituents of the customer lifecycle such as data visualization, data streaming, data integration, data science, etc. using our content-ready consumer engagement PowerPoint slide deck. Adopt a holistic customer view and interact with them through face-to-face communication, email, phone amongst others. Hence, without any further delay download this customer support PPT slide designs to engage effectively with your current as well as prospective clients. https://bit.ly/2OixhJT
The document discusses how personalization is key to marketing success in today's environment. It notes that customer expectations have changed and that they now expect personalized, relevant experiences. It advocates adopting a "flywheel approach" where data is continuously collected and used to power increasingly personalized experiences across the customer lifecycle to attract, engage, and grow customers. The document outlines Intempt's personalization platform and services that aim to help companies implement this approach through features like visitor tracking, segmentation, campaign management, and analytics.
This document discusses best practices for remarketing campaigns. It recommends tagging the entire website to build remarketing lists based on customer paths. It suggests using remarketing to retarget past visitors across Google platforms like Display and Search. Dynamic remarketing is highlighted to show relevant ads based on past page visits. Guidelines include segmenting lists, optimizing bids, removing restrictions, automating caps, and using auto-targeting to acquire new customers.
This is a digital marketing plan created in Word for a shopping comparison website that covers the marketinf audit, analysis, objectives, market segments, strategy, promotions, budget, control and timeline
Talk with Yves Raimond at the GPU Tech Conference on Marth 28, 2018 in San Jose, CA.
Abstract:
In this talk, we will survey how Deep Learning methods can be applied to personalization and recommendations. We will cover why standard Deep Learning approaches don't perform better than typical collaborative filtering techniques. Then we will survey we will go over recently published research at the intersection of Deep Learning and recommender systems, looking at how they integrate new types of data, explore new models, or change the recommendation problem statement. We will also highlight some of the ways that neural networks are used at Netflix and how we can use GPUs to train recommender systems. Finally, we will highlight promising new directions in this space.
Correlation, causation and incrementally recommendation problems at netflix ...Roelof van Zwol
Within Netflix, personalization is a key differentiator, helping members to quickly discover new content that matches their taste. Done well, it creates an immersive user experience, however when the recommendation is out of tune, it is immediately noticed by our members. During this presentation I will cover some of the personalization and recommendation tasks that jointly define the Netflix user experience that entertains more that 130M members world wide. In particular, I will focus on several of the algorithmic challenges related to the launch of new Netflix originals in the service, and go over concepts such as causality, incrementality and explore-exploit strategies.
The research presented in this talk represents the collaborative efforts of a team of research scientists and engineers at Netflix on our journey to create best in class user experiences.
China’s influencer marketing industry is well ahead of the rest of the world. The
advanced functionality and integration of social media, e-commerce and mobile
payments has enabled the Chinese KOL and KOC economy to grow at a pace not
seen anywhere else in the world. This growth has been accelerated by the Covid-19
pandemic and the consequent prevention measures that included closing physical
stores, dining in, in-person events and sporadic district lockdowns. These measures
have led to a significant increase in the amount of time Chinese consumers spend
on the internet. In fact, the average Chinese consumer today spends over seven
hours a day on the internet . About two-thirds of those seven hours is spent using
social or content apps, as users increasingly seek information about the world
around them through social media, influencers and friends to help make purchase
decisions.
PJdaren’s preliminary estimates suggest that from September 2021 to October 2022
there were more than 10.1 million KOLs and KOCs across China’s social media
ecosystem with a fan base of over 10,000 followers – a figure larger than anything
seen elsewhere in the world. China’s influencers published an average of 38.3 million
posts on a daily basis.
PJDAREN INSIGHTS 4
CHINA’S INFLUENCER MARKETING INDUSTRY
Introduction
According to the National
Bureau of Statistics, China’s
influencer economy grew
from CN¥241.9 billion (US$
38.5 billion) in 2018 to CN¥1.3
trillion (US$210 billion) in 2020.
It is estimated that by the
year 2025, the total market
size of China’s influencer
economy will reach CN¥6.7
trillion (US$1.035 trillion).
Ho Kwon Ping founded Banyan Tree resorts in 1994 after losing his family's food and property businesses to low-cost competitors. He saw a gap in the luxury resort market between very expensive boutique resorts and large hotel chains. Banyan Tree aimed to provide intimate, private villas with their own pools and spas, native furnishings, and cultural experiences starting at $500-2500 per night. The first resort opened in Phuket, Thailand, and the brand soon expanded to other locations emphasizing blending into the natural environment, supporting local communities, and promoting sustainability. By 2004 Banyan Tree had over 15 resorts, 35 spas, and 38 retail shops across 20 countries in Asia and the
The document discusses how shopper behavior is changing due to time constraints and lifestyle changes. It analyzes different shopper need states and how retailers can adapt merchandising and store layout to satisfy these evolving needs. Key insights include that cleanliness, selection, and convenience are very important to shoppers. The beverage category can be organized into different consumer need states that retailers should clearly message to drive shopper conversion.
Transform your marketing and sales capabilities with Big Data and A.I
1) Why is Customer Data Platform (CDP) ?
Case study: Enhancing the revenue of your restaurant with CDP and mobile app marketing
Question: Why can CDP disrupt business model for restaurant industry (B2C) ?
2) How would CDP work in practice ?
Introducing USPA.tech as logical framework for implementing CDP in practice
How Can a Customer Data Platform Enhance Your Account-Based Marketing Strategy (B2B) ?
3) How can we implement CDP for business?
Introducing the CDP as customer-first marketing platform for all industries (my key idea in this slide)
Building a Foundational Tech Stack to Support Your First-Party Data StrategyTinuiti
D2C has led the way by building direct relationships with consumers, which has become essential across the retail landscape now that first-party data is king. In this 2-day virtual event, we discuss the emerging trends in 2021 and how brands can adapt their approach to meet ever-changing consumer expectations.
10 Steps to create a sucessfull e-commerce strategy - 10 passi per creare un ...Federico Gasparotto
Quali sono i 10 passi per creare un e-commerce di successo? Value proposition, Business planning, Channels integration, organisation transformation, Direct marketing, Commercial strategy, assortment planning, Product datatsheet, User Experience
Citroën Performance and Branding Plan1.pptxSaurabh Mishra
This plan was created to build Brand presents in India for newly launched automobile brand It predicted They are extremely popular in Europe But This was the first Their first campaign In India for launch. Plan includes complete Information about branding strategy and how we can leverage branding cookies for final conversions
Crafting Recommenders: the Shallow and the Deep of it! Sudeep Das, Ph.D.
Sudeep Das presented on recommender systems and advances in deep learning approaches. Matrix factorization is still the foundational method for collaborative filtering, but deep learning models are now augmenting these approaches. Deep neural networks can learn hierarchical representations of users and items from raw data like images, text, and sequences of user actions. Models like wide and deep networks combine the strengths of memorization and generalization. Sequence models like recurrent neural networks have also been applied to sessions for next item recommendation.
A Multi-Armed Bandit Framework For Recommendations at NetflixJaya Kawale
In this talk, we present a general multi-armed bandit framework for recommendations on the Netflix homepage. We present two example case studies using MABs at Netflix - a) Artwork Personalization to recommend personalized visuals for each of our members for the different titles and b) Billboard recommendation to recommend the right title to be watched on the Billboard.
Netflix was a trailblazing innovator in machine learning as applied to personalization and recommendation systems but there are many other applications of machine learning at Netflix, especially as we further evolve into a global entertainment company. This talk will give an overview of how machine learning is leveraged before content launches on Netflix and how machine learning can support the creative process and serve as a tool for decision makers in our content and marketing organization. The process of creating content is a high-touch, creative endeavor so we need to be similarly creative in the machine learning innovations we develop. From neural nets that predict audience size for content that doesn't exist yet, to NLP and deep learning techniques that mine scripts to highlight properties we need legal clearance for ... we are building unprecedented innovations. The talk will also broadly cover the challenges we face in this space, including data scarcity and making ML interpretable for non-technical stakeholders.
Making Netflix Machine Learning Algorithms ReliableJustin Basilico
This document discusses making Netflix machine learning algorithms reliable. It describes how Netflix uses machine learning for tasks like personalized ranking and recommendation. The goals are to maximize member satisfaction and retention. The models and algorithms used include regression, matrix factorization, neural networks, and bandits. The key aspects of making the models reliable discussed are: automated retraining of models, testing training pipelines, checking models and inputs online for anomalies, responding gracefully to failures, and training models to be resilient to different conditions and failures.
Interactive Recommender Systems with Netflix and SpotifyChris Johnson
Interactive recommender systems enable the user to steer the received recommendations in the desired direction through explicit interaction with the system. In the larger ecosystem of recommender systems used on a website, it is positioned between a lean-back recommendation experience and an active search for a specific piece of content. Besides this aspect, we will discuss several parts that are especially important for interactive recommender systems, including the following: design of the user interface and its tight integration with the algorithm in the back-end; computational efficiency of the recommender algorithm; as well as choosing the right balance between exploiting the feedback from the user as to provide relevant recommendations, and enabling the user to explore the catalog and steer the recommendations in the desired direction.
In particular, we will explore the field of interactive video and music recommendations and their application at Netflix and Spotify. We outline some of the user-experiences built, and discuss the approaches followed to tackle the various aspects of interactive recommendations. We present our insights from user studies and A/B tests.
The tutorial targets researchers and practitioners in the field of recommender systems, and will give the participants a unique opportunity to learn about the various aspects of interactive recommender systems in the video and music domain. The tutorial assumes familiarity with the common methods of recommender systems.
The document summarizes Katamiya Garden's marketing plan to establish itself as the leading venue for social and corporate events in Cairo, Egypt. It analyzes the fragmented event market, identifies competitors, and conducts a SWOT analysis. The plan positions Katamiya Garden as a luxury venue offering memorable experiences. It targets multiple age segments and outlines strategies for pricing, promotion, and partnerships to achieve its vision.
The document is a summer internship project report submitted by Rohit Singh about his internship at DS Drinks & Beverages Pvt. Ltd. It discusses the company profile of Dharampal Satyapal Group which owns DS Drinks & Beverages. It covers the group's history, expansion into various business sectors including FMCG, packaging, hospitality, and more. It also discusses the mineral water industry in India, catch beverages' competitors and target markets, and Rohit Singh's research methodology and objectives during the internship.
360 Degree View Of Customer Powerpoint Presentation SlidesSlideTeam
Increase consumer satisfaction and drive sales using these 360 Degree View Of Customer PowerPoint Presentation Slides. Take the assistance of our attention-grabbing customer mapping PowerPoint slideshow to drive ROI through various means like acquiring leads, increasing customer retention, etc. By utilizing these customer relationships PowerPoint templates you can elucidate the process of customer architecture that consists of consumer clustering, CRM analysis, real-time analytics, etc. Take advantage of these consumer lifecycle PPT visuals to reveal the components of 360 frameworks like CRM systems, DBMS, support ticketing, etc. Unveil the constituents of the customer lifecycle such as data visualization, data streaming, data integration, data science, etc. using our content-ready consumer engagement PowerPoint slide deck. Adopt a holistic customer view and interact with them through face-to-face communication, email, phone amongst others. Hence, without any further delay download this customer support PPT slide designs to engage effectively with your current as well as prospective clients. https://bit.ly/2OixhJT
The document discusses how personalization is key to marketing success in today's environment. It notes that customer expectations have changed and that they now expect personalized, relevant experiences. It advocates adopting a "flywheel approach" where data is continuously collected and used to power increasingly personalized experiences across the customer lifecycle to attract, engage, and grow customers. The document outlines Intempt's personalization platform and services that aim to help companies implement this approach through features like visitor tracking, segmentation, campaign management, and analytics.
This document discusses best practices for remarketing campaigns. It recommends tagging the entire website to build remarketing lists based on customer paths. It suggests using remarketing to retarget past visitors across Google platforms like Display and Search. Dynamic remarketing is highlighted to show relevant ads based on past page visits. Guidelines include segmenting lists, optimizing bids, removing restrictions, automating caps, and using auto-targeting to acquire new customers.
Understanding Adwords - An Ecommerce Perspectivecampone
This document provides an overview of pay per click (PPC) advertising from an ecommerce perspective. It discusses what PPC is and why it is useful, particularly for driving sales. Advanced PPC strategies like dynamic search ads, enhanced campaigns, location extensions, and sitelinks are explained as ways to improve campaign performance. The conclusion emphasizes that while experimentation with PPC can be risky without experience, thinking like a retailer and focusing on ROI can help optimize results.
This document provides an overview of remarketing and how to set up remarketing campaigns. It begins with an introduction to remarketing and how it works to retarget past website visitors. It then covers how to build remarketing lists by tagging the website. The document reviews different types of remarketing campaigns for display and search advertising. It provides best practices for remarketing campaigns such as segmenting lists, using automated bidding, removing restrictions, and acquiring new customers. Dynamic remarketing is discussed as a way to show the most relevant ads. Tools for implementing remarketing are also mentioned.
The document provides an overview of pay-per-click (PPC) marketing principles and terminology. It discusses the history and effectiveness of PPC, the major search networks, key PPC concepts like keyword matching and quality score, how to structure a successful PPC account with campaigns and ad groups, and tips for writing compelling ads and optimizing performance.
The document provides guidance on product marketing in a Web 2.0 world. It discusses the importance of understanding customer insights, having a clear value proposition, positioning the product against competitors, telling a story about the product through marketing communications, considering the whole customer experience, seeking customer feedback, and adapting business models and communication channels.
Digital marketing tips and tricks : Dave Chaffey Smart InsightsDave Chaffey
This document provides 20 digital marketing tips from a presentation given by Dr. Dave Chaffey. Some of the key tips include: knowing your goals and investing in a content strategy to achieve them; placing a value on goals in Google Analytics; using segmented landing pages and conversion pathways; avoiding banner blindness and simplifying content; integrating efforts efficiently; and using custom alerts and behavioral retargeting sensitively. The document encourages optimizing the user experience through scents trails and testing value messages. It also recommends listening to customers for feedback and crowdsourcing innovation ideas.
Think With Google - Bull's Eye Targeting With Google (Workshop Based)Harsha MV
This document provides an overview of how Google can help target customers for businesses. It discusses using Google's data and tools to capture audiences' attention at different stages - awareness, consideration, and action. Key aspects that Google brings include reach across its properties, data insights, and technology capabilities. The document outlines exercises for businesses to define their audience and objectives, understand their customers' perspectives, and plan targeted messaging and formats. It also shows how the "One Google" approach can be used to engage audiences at each funnel stage through search, display, and video advertising using various audience signals and pathways to conversion.
This document provides tips and recommendations for optimizing conversion rates on various pages of an e-commerce website. It suggests simple tweaks that can be made to the home, category, product, cart, and checkout pages to improve navigation, highlight popular products, simplify processes, and add relevant calls-to-action. Implementing some of these changes may increase conversions by up to 100% or more. It concludes by offering a free website audit service to analyze specific pages and identify additional optimization opportunities.
The document provides guidance for developing a product plan workshop. It discusses identifying a target market and creating user personas through market segmentation and defining characteristics. It then covers establishing goals for the website, outlining the visitor experience, and addressing pricing strategies. Key decisions are summarized in a statement of the business, audience, problem solved, and overall purpose.
July 2008 presentation giving a checklist of 20 tips to improve your web marketing. These are practical best practice tips covering the top mistakes I see in web marketing.
The document provides tips for airlines on bridging loyalty programs with ancillary revenue strategies:
1) Ensure any ancillary revenue tactics align with the airline's brand identity as either a low-cost or premium carrier.
2) Consider whether new services are adding costs to existing free items or offering genuine new features before charging fees.
3) Be transparent about any new fees or products and ensure marketing messaging is clear and understandable.
How to build a powerful online presence and grow your business for companies in the radon mitigation and home inspection industry. Visit http://scmmarkets.com/marketing-radon-business/ to learn more.
This document outlines 10 common mistakes made with Google Ads and provides tips to address each mistake. The mistakes include selecting the wrong keywords, using the wrong match types, not using search term reports, not understanding ad rank, having poor quality ads, having a poor account structure, not bidding on your own brand keywords, not measuring phone calls, not optimizing campaigns for mobile separately, and outbidding yourself on keywords. For each mistake, the document provides examples and recommendations on how to improve keyword selection, ad copy, account organization, bidding strategies, and overall campaign optimization to improve performance. It encourages further study of Google Ads systems and structures to maximize ROI and concludes by offering live campaign assistance to interested participants.
Marketing Power covers the secrets of successful people. Provides - Speeches for Coaches - Professional seminar presentation and workbook materials. Helps your clients build a personal plan to succeed in their goals. www.speechesforcoaches.com, Jon Newsome (770) 614-4146.
Performance Advertising & Affiliate Marketing
This hands-on workshop will teach you how to generate revenue using affiliate networks and other performance oriented advertising including cost per click and cost per action models. You will learn how the same set of advertisements on the page can generate 250% more revenues by optimizing your advertising mix.
Led by David Rodnitzky - Principal, PPCAdbuying.com; VP Advertising, Mercantalia; Director of Marketing, Adteractive
The document discusses affiliate marketing and segmentation strategies. It suggests segmenting affiliates based on performance, business model, content category, site demographics, and other factors. Advanced segmentation ideas include affiliate age, recency of sales, customer quality, and products purchased. The document also covers outsourcing affiliate management, integrating search and affiliate strategies, and issues around affiliate marketing, adware and spyware.
KrushTech is a software and web development company focused on providing high quality services through expertise and innovation. Their mission is to become a leading service provider in software, web, mobile development, consultancy and custom products. Their vision is to be the number one globally for product development and services by exceeding customer needs. They offer services including online marketing, websites, mobile apps, usability solutions and more to help businesses succeed online.
This document discusses compliant digital marketing practices under GDPR regulations. It covers topics like lawful bases for processing personal data, obtaining consent, use of cookies, and the importance of user experience design. The presentation emphasizes the need for transparency, accountability, and putting privacy at the core of marketing systems and processes. It acknowledges that while compliance can be complex, the regulations should not prevent effective marketing. The future of e-Privacy regulations is also addressed.
Predictive Modelling, not magic - FOM Jam slidesRedEye
It doesn't require magic to make Predictive Analytics work. Flick through our slides from Festival of Marketing on how key data is to making Predictive Marketing work.
These slides are taken from a presentation our Compliance Director gave at the Festival of Marketing 2017. It covers the essential information you need to know about GDPR, answering the big questions for marketers.
Customer Data Platform and Predictive Analytics - A killer combination?RedEye
Delve into the presentation our Chief Commercial Officer gave at the Festival of Marketing 2017. Looking at what the Customer Data Platform is, what Predictive Analytics is and how they work together.
The SEO Lifecycle: Lessons from the Past, Strategies for the FutureLily Ray
Lily Ray gave the BrightonSEO keynote at BrightonSEO in the UK in April 2025. This talk discussed the history of SEO, the cycles of Google penalizing SEO spam tactics, and the future of AI-driven search & SEO.
Get client sites EAA-ready: Accessibility best practices for agenciesAnton Shulke
Delaney Cruz
Head of Partner Program, AudioEye
Understanding EAA - Key requirements, timelines, and essential steps agencies must take before June 2025 to ensure compliance.
Positioning accessibility as a service - How to educate clients, communicate the value of accessibility, and seamlessly integrate it into your agency's offerings.
Tools & strategies for scalable compliance - Practical solutions and workflows to efficiently build and maintain accessible websites at scale while enhancing user experience, SEO, and legal protection.
branding companies in india|Poppy Pulse|pptxPoppy Pulse
branding companies in india: Elevate your brand with India's leading branding agency. From logo design to strategy, we help businesses create strong, lasting impressions. Start your journey today! https://poppypulse.com/service/branding-agency-india/
Get client sites EAA-ready: Accessibility best practices for agenciesAnton Shulke
Understanding EAA - Key requirements, timelines, and essential steps agencies must take before June 2025 to ensure compliance.
Positioning accessibility as a service - How to educate clients, communicate the value of accessibility, and seamlessly integrate it into your agency's offerings.
Tools & strategies for scalable compliance - Practical solutions and workflows to efficiently build and maintain accessible websites at scale while enhancing user experience, SEO, and legal protection.
The 10 Best Tips to Get SoundCloud Likes & Grow Your Profile Fast.pdfSociofire
Want more likes on SoundCloud? This easy-to-follow guide from Socio Fire shares 10 smart tips to boost your profile, get your tracks noticed, and grow a real fanbase. It covers everything from profile setup to smart promotion - perfect for artists who want to stand out and connect with more listeners.
Why Digital Marketing is Essential for Modern Businesses.pptxmarketingtagsnticks
In this SlideShare presentation, discover why digital marketing is essential for modern businesses and how it plays a vital role in brand visibility, lead generation, and customer engagement. Learn the core components of a successful digital strategy, including SEO, social media optimization, Google Ads, and content marketing.
We also highlight the services offered by Tags N Ticks, a full-service digital marketing agency helping startups, small businesses, and enterprises achieve measurable online growth. Whether you're looking to improve your website traffic, build your brand, or increase your ROI, this guide covers everything you need to know.
visit for more info
Digital Reviver - Digital marketing agency in NoidaDigital Reviver
In the bustling tech corridors of Noida, Digital Reviver stands tall as a results-driven digital marketing agency. With over a decade of experience in SEO, PPC, and content strategies, this agency has helped hundreds of clients build powerful online presences and drive revenue.
Today, businesses can't afford to ignore the digital space. From visibility on Google to engaging content on social media, every click counts—and that’s where Digital Reviver excels.
digitalmarketingagencyinnoidadigitalreviver.jpg
Why Noida Is a Hub for Digital Marketing Growth
Noida, part of the National Capital Region (NCR), has evolved into a digital magnet for startups, enterprises, and marketing agencies. Here's why:
Technological Infrastructure: With SEZs, IT parks, and top-tier internet infrastructure, Noida offers a fertile ground for digital operations.
Talent Pool: Proximity to universities like Amity and institutions like NIIT fuels a steady stream of skilled professionals.
Startup Ecosystem: From fintech to edtech, startups in Noida demand cutting-edge marketing services.
This thriving environment positions Digital Reviver to tap into both innovation and execution seamlessly.
About Digital Reviver
Digital Reviver isn't just another agency—it’s a growth engine.
Founded: 2014
Team: 50+ professionals including SEO analysts, PPC managers, content creators, and developers
Vision: To make digital transformation accessible and ROI-driven for businesses of all sizes.
Whether it’s a local café or a multinational company, they tailor strategies with precision.
Core Services Offered
Let’s break down the core offerings from Digital Reviver:
SEO (Search Engine Optimization)
SEO is the bread and butter of digital visibility. Here’s what Digital Reviver does:
On-Page SEO: Title tags, meta descriptions, internal linking
Off-Page SEO: Link building, guest posting
Local SEO: Google My Business optimization, local citations
They use tools like SEMrush, Ahrefs, and Screaming Frog to leave no stone unturned.
PPC (Pay-Per-Click Advertising)
If SEO is a marathon, PPC is the sprint—and Digital Reviver knows how to win races.
Google Ads (Search, Display, Shopping)
Bing Ads for specific geographies
Landing page optimization and A/B testing
They manage six-figure budgets with transparency and a laser focus on ROI.
Social Media Marketing
From Facebook to LinkedIn, Digital Reviver crafts platform-specific campaigns that convert.
Strategy Development
Content Calendars
Influencer Outreach
Paid Campaigns
With deep insights into audience behavior, they maximize every rupee spent.
𝐄𝐯𝐞𝐫 𝐟𝐞𝐞𝐥 𝐥𝐢𝐤𝐞 𝐲𝐨𝐮'𝐫𝐞 𝐩𝐨𝐬𝐭𝐢𝐧𝐠 𝐯𝐢𝐝𝐞𝐨𝐬 𝐛𝐮𝐭 𝐧𝐨 𝐨𝐧𝐞’𝐬 𝐫𝐞𝐚𝐥𝐥𝐲 𝐰𝐚𝐭𝐜𝐡𝐢𝐧𝐠? 😥
You’re not alone — 67% 𝐨𝐟 𝐦𝐚𝐫𝐤𝐞𝐭𝐞𝐫𝐬 say irregular posting kills their engagement 📉
🤔 Think about it — we all love shows that drop at the same time every week.
Your audience’s no different. They want consistency, clarity, and content that shows up when they do.
𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐯𝐢𝐝𝐞𝐨𝐬 𝐢𝐬𝐧’𝐭 𝐣𝐮𝐬𝐭 𝐚 𝐭𝐢𝐦𝐞-𝐬𝐚𝐯𝐞𝐫.
𝐈𝐭 𝐡𝐞𝐥𝐩𝐬 𝐲𝐨𝐮 𝐩𝐨𝐬𝐭 𝐬𝐦𝐚𝐫𝐭𝐞𝐫, 𝐛𝐮𝐢𝐥𝐝 𝐥𝐨𝐲𝐚𝐥 𝐯𝐢𝐞𝐰𝐞𝐫𝐬, 𝐚𝐧𝐝 𝐬𝐞𝐞 2𝐱 𝐦𝐨𝐫𝐞 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 🚀
Beyond ROAS: Aligning Google Ads With Your True Business ObjectivesSearch Engine Journal
How do you make every PPC ad dollar deliver more?
What if your Google Ads strategy could align with lifetime value, not just cost per acquisition (CPA)?
Are you using value-based bidding to its full potential?
If not, don’t worry. In this upcoming webinar, you’ll get:
Smarter ways to measure PPC success.
Tested, powerful bidding strategies.
Real, bigger business impact.
These insights will help you shift focus from vanity metrics to meaningful results, like revenue, customer lifetime value, and long-term growth.
Learn How To Get More From Every Ad Dollar
Check out to explore how today’s most advanced Google Ad strategies align with what actually drives business performance.
You’ll Learn To:
-Understand what newly updated smart bidding can do.
-Leverage first-party data to maximize value-based bidding.
-Use testing frameworks to refine and scale what works.
Optimize for outcomes that matter, not just metrics that look good.
Watch Justin Covington, Director of Paid Channels Solutions at iQuanti, as he breaks down the Google Ads changes and show you how to use value-based bidding to drive measurable results.
From campaign structure to audience strategy, you’ll leave this webinar with practical steps you can apply immediately to start optimizing your paid ads for the metrics that matter most.
This infographic provides a clear and concise overview of the WhatsApp Business API, highlighting how businesses can use it to automate conversations, send timely notifications, and deliver personalized customer support at scale. It covers key features, integration benefits, and real-world use cases to help companies streamline communication and boost customer satisfaction.
Beyond the Pain Points: A More Meaningful Customer JourneyOdyyc
Discover how tailored messaging, strategic content, and data-backed segmentation can transform the way your brand connects with its audience. This presentation and case study from Odyyc explores how understanding user intent and behavior leads to more effective content—and ultimately, more meaningful results.
📋 What You’ll Learn in This Case Study For a Recruiting Agency:
✔ The Strategy Framework
Get a step-by-step breakdown of Odyyc’s approach to building content and CX strategies grounded in both business goals and user needs.
✔ User Personas Across Industries
Explore detailed personas for biotech, pharma manufacturing, medical devices, and SaaS—each with unique hiring challenges and decision-making profiles.
✔ Market Segmentation & Strategic Prioritization
Learn how segments are plotted using growth, volume, and business fit—leading to smarter prioritization using tools like the BCG matrix.
✔ SEO & Content Mapping
See how segmented, intent-driven SEO keywords align with each persona’s journey—from awareness to conversion.
✔ Customer Journey Mapping
Follow how touchpoints—from blog articles to LinkedIn campaigns—are aligned with the decision-making phases of different buyer types.
✔ Real-World Messaging & Execution
View examples of tailored messaging, content zoning, and landing page structure—all designed to reduce friction and build trust.
Who it's for:
Content strategists
CX professionals
B2B marketers
SaaS and life sciences companies
Recruitment Agencies
Anyone working to improve user journeys through segmentation
Website Designing Company in Delhi – Crafting Engaging, Responsive WebsitesTouchstone Infotech
Looking for a trusted Website Designing Company in Delhi? We specialize in creating stunning, responsive, and SEO-friendly websites tailored to your business goals. From startups to enterprises, we deliver high-performing designs that boost user engagement and conversions. Choose our Website Designing Company in Delhi for innovative web solutions that drive results.
Top 10 Search Engines in the World 2025, Learn form this PowerPointkalyanrkm12
This powerpoint explores the top 10 search engines that dominate the internet, highlighting their unique features, strengths, and user benefits. It covers popular platforms like Google, Bing, Yahoo, and emerging alternatives, providing insights into their search algorithms, market share, and specialized uses. Whether you're looking for the most efficient, privacy-focused, or niche search engines, this guide helps you understand which tools best suit your browsing needs. Perfect for tech enthusiasts and everyday users aiming to optimize their online search experience.
2. Over 12 years experience in UX, CRO and Personalisation,
working with companies such as esure, Penhaligons, Skype,
Microsoft, Monarch, Wilko, Butlins, Travis Perkins, Marks &
Spencer to name but a few. We routinely generate tens of
million pounds of incremental revenue through Customer
Research, Optimisation and Personalisation.
Tasin Reza
CRO Director
RedEye
Unclassified Public
4. Web Personalisation
Unclassified Public
Web Personalisation is making the relevant information available at your
customers’ fingertips to enhance their experience.
A/B Testing Personalisation
Success f(success (testing)) =
(Motivation +
Ability) – Friction
f(success (personalisation))
= Relevancy (Motivation +
Ability) – Friction
5. Levels of
Personalisation
Content is personalised based on the current known
attributes of the visitor. This can include anything
from the browser, device, weather, time of day…
Unclassified Public
Example
A new visitor landing on an electronic
site using an Apple device. Rather than
showing promotions for all products, focus
on Mac friendly products.
Targeting Complexity
Simple
Contextual
Personalisation1
6. Content is personalised based on visitors’ past actions
with the brand. This can be anything from previous
purchase history, categories browsed, purchased in shop.
Unclassified Public
Behavioural
Personalisation
Example
When visitors with high Average Order
Value return to the site, promote new lines
of products rather than reductions or
promotions.
Targeting Complexity
Varied
Levels of
Personalisation
2
7. Unclassified Public
Levels of
Personalisation
Personalising content based on current actions users have
just taken, as well as taking their past behaviour into
consideration
Receptive
Personalisation
Example
When a visitor previously searched for
women’s clothing but this time, they
started to browse the children’s section.
Start changing the content of your specific
site area to focus on both women’s and
children’s products.
Targeting Complexity
Difficult
3
8. Personalisation
Tips
Display the closest store and promote free C&C for
returning price sensitive visitors
Unclassified Public
Rationale
Visitors who are price sensitive, showcasing
the nearest store and promoting free click
and collect will likely encourage them to
make their first purchase.
Targeting Complexity
Varied
Highlight Nearest
Store1
9. Display Newsletter signup popup for returning un-
registered visitor
Unclassified Public
Newsletter
Signup Popup
Rationale
Visitors who are returning to the site are
more qualified and less likely to get
disrupted by the popup. Giving them a
newsletter signup option to get the latest
offers are likely to be relevant for the non-
registered visitors.
Targeting Complexity
Varied
Personalisation
Tips
2
10. Unclassified Public
Personalisation
Tips
Personalising the loading screen to promote relevant add-
ons / extras based on their selection of product
Loading Screen
Content
Rationale
When creating a package based on user
selection, if the loading screen shows
potential add-ons / extras that go with the
chosen product, users are likely to take
those options at a later stage
Targeting Complexity
Difficult
3
11. Personalisation
Tips
Have the nearest airport selected by default
Unclassified Public
Rationale
For a travel site, when visitors are planning
to book a flight or a holiday, having the
departure airport selected based on their
current location would reduce the ‘search
and buy’ journey
Targeting Complexity
Simple
Default Departure
Selection4
12. Promote products under previously visited category for
non-purchase visitors on the homepage / landing pages
Unclassified Public
Category
Promotion
Rationale
Visitors who browsed a specific category
but did not make a purchase, on their
return, promote products under the same
category to provide an easier route to find
the same set of products.
Targeting Complexity
Varied
Personalisation
Tips
5
13. Unclassified Public
Personalisation
Tips
Preselecting filters on category landing page based on
past selections and also in session changes
Pre-Select
Filters
Rationale
If visitors have previously used filters, by
applying the filters automatically on any
follow-up sessions, and adding any
additional filters for all other categories,
will increase visitors’ searchability
Targeting Complexity
Difficult
6
14. Change the position and prominence of user rating based
on user behaviour
Unclassified Public
Position of
User Ratings
Rationale
Super browsers who take multiple visits to
make a purchase decision, change the
position and prominence of user ratings
and reviews for those visitors to help them
make the purchase decision
Targeting Complexity
Varied
Personalisation
Tips
7
15. Highlighting basket items in an overlay with persuasive
messaging for visitors who didn’t purchase before but
have returned to the site
Unclassified Public
Highlight
Basket Items
Rationale
Visitors who previously added items to
their basket but did not complete a
purchase might potentially be persuaded
to complete their purchase when they see
the items highlighted when they land on
the site.
Targeting Complexity
Varied
Personalisation
Tips
8
16. Unclassified Public
Personalisation
Tips
For registered visitors who haven’t purchased, promote
relevant introductory products and highlight USPs to help
them make their first purchase.
Promote Lower
Value Items
Rationale
Visitors who previously registered on the
site but never completed a purchase, by
showcasing introductory products and
highlighting the USPs, you may break the
barrier of making the first purchase
Targeting Complexity
Difficult
9
17. Display large promotions to lapsing customers to turn
them around and encourage them to make follow-up
purchases.
Unclassified Public
Offers to Selected
Audience
Rationale
Customers who are lapsing, if they return
to the site, giving them special promotions
might make them purchase from the site
again.
Targeting Complexity
Varied
Personalisation
Tips
10
18. Thank you for your time
Tasin Reza
CRO Director
Red Eye International Ltd
[email protected]
LinkedIn: https://www.linkedin.com/in/tasin
Unclassified Public