Political polling season is kicking into high gear – and pollsters want to ensure they are getting the most accurate data possible. While much of traditional polling is done on the phone, it has proven that it is not as accurate as it once was. What can be done?
Check out the deck from our webinar, The New Polling Mix: Increasing Accuracy With Online Surveys, to learn how incorporating online surveys into your polling mix can increase your overall accuracy.
Since the 2016 election, there has been a trend in public opinion and polling to diversify methodology beyond phone to a more hybrid approach that can include many different survey modes. Online surveys can be a crucial competent of any new approach.
Check out the deck from our webinar, The New Age of Polling, to learn more about the importance of online polling, and how the sample that drives online surveys matters.
Preventing and identifying poor data quality is one of the biggest challenges in marketing research. Over the past couple of years, one of the more talked about causes of poor data quality and fraud is bots – but there are many other factors that can impact survey quality.
We recommend taking a more holistic look at data quality and all the factors that can cause poor quality.
Check out our deck from our webinar, Beyond Bots: A Holistic look at Data Quality, to learn about all of the causes of poor data quality, beyond just malicious bots, and what you can do to mitigate them to ensure you get the best results possible.
Game Changing Decisions: Using Wave Studies To Understand Changes To Your BrandEMI Research Solutions
When organizations face decisions that can vastly alter their operations or how they do business, these can be called “game-changing” decisions. As these decisions are made, organizations want to measure what impact these decisions have with brand perception in the marketplace.
How best can organization measure the impact of their decision?
Check out the deck from our webinar Game-Changing Decisions: Using Wave Studies To Understand Changes To Your Brand, to discover how.
The Art of Data Consistency - Sample Blending For Your Tracker StudiesEMI Research Solutions
With long-term tracking studies, data consistency is critical. Without it, your data is useless. So how do you insulate your project from changes in results from your sample supplier?
Check out our slides from our webinar, The Art of Data Consistency: Sample Blending For Your Tracker Studies, and find out how to ensure the long-term viability of your tracker studies.
The online sample industry, with its many providers and audience specialties, can be difficult to navigate – that is unless you have an expert you can turn to.
EMI is that expert. We regularly conduct research on the sample industry to understand the industry, identify any differences that may exist between sample providers, and to explore the advantages and disadvantages of each.
Check out our deck from our webinar, The Sample Landscape: The Guide Book to the Sample Industry, to learn about the findings of our research on the sample industry, and what it means for your current and future studies.
Using multiple sample providers to recruit respondents into a single survey, is becoming a necessity for large research agencies and panel companies alike, but challenges are attached to the practice
Since the 2016 election, there has been a trend in public opinion and polling to diversify methodology beyond phone to a more hybrid approach that can include many different survey modes. Online surveys can be a crucial competent of any new approach.
Check out the deck from our webinar, The New Age of Polling, to learn more about the importance of online polling, and how the sample that drives online surveys matters.
Preventing and identifying poor data quality is one of the biggest challenges in marketing research. Over the past couple of years, one of the more talked about causes of poor data quality and fraud is bots – but there are many other factors that can impact survey quality.
We recommend taking a more holistic look at data quality and all the factors that can cause poor quality.
Check out our deck from our webinar, Beyond Bots: A Holistic look at Data Quality, to learn about all of the causes of poor data quality, beyond just malicious bots, and what you can do to mitigate them to ensure you get the best results possible.
Game Changing Decisions: Using Wave Studies To Understand Changes To Your BrandEMI Research Solutions
When organizations face decisions that can vastly alter their operations or how they do business, these can be called “game-changing” decisions. As these decisions are made, organizations want to measure what impact these decisions have with brand perception in the marketplace.
How best can organization measure the impact of their decision?
Check out the deck from our webinar Game-Changing Decisions: Using Wave Studies To Understand Changes To Your Brand, to discover how.
The Art of Data Consistency - Sample Blending For Your Tracker StudiesEMI Research Solutions
With long-term tracking studies, data consistency is critical. Without it, your data is useless. So how do you insulate your project from changes in results from your sample supplier?
Check out our slides from our webinar, The Art of Data Consistency: Sample Blending For Your Tracker Studies, and find out how to ensure the long-term viability of your tracker studies.
The online sample industry, with its many providers and audience specialties, can be difficult to navigate – that is unless you have an expert you can turn to.
EMI is that expert. We regularly conduct research on the sample industry to understand the industry, identify any differences that may exist between sample providers, and to explore the advantages and disadvantages of each.
Check out our deck from our webinar, The Sample Landscape: The Guide Book to the Sample Industry, to learn about the findings of our research on the sample industry, and what it means for your current and future studies.
Using multiple sample providers to recruit respondents into a single survey, is becoming a necessity for large research agencies and panel companies alike, but challenges are attached to the practice
Culture Counts - Measure and communicate your value.
Culture Counts is a web-app developed to help cultural organisations measure feedback from the public, their peers, and themselves, and aid in communicating their value. We recently participated in the APACA conference in Hobart and discussed the problems with measurement in the arts sector - including a lack of consistent definitions, and the current high cost of surveying.
This presentation outlines the above as well as providing an outline of the Culture Counts system and how it can benefit a range of parties including funding bodies, organisations and the public.
Data Quality Concerns when Crowdsourcing Scientific TasksStephanie Eckman
From classifying images or texts to responding to surveys, tapping into the knowledge of crowds to complete complex tasks has become a common strategy in social and information sciences. Although the timeliness and cost-effectiveness of crowdsourcing may provide desirable advantages to researchers, the data it generates may be of lower quality for some scientific purposes. The quality control mechanisms, if any, offered by common crowdsourcing platforms may not provide robust measures of data quality. This study explores whether research task participants may engage in motivated misreporting whereby participants tend to cut corners to reduce their workload while performing various scientific tasks online. We conducted an experiment with three common crowdsourcing tasks: answering surveys, coding images, and classifying online social media content. The experiment recruited workers from three sources: a crowdsourcing platform for crowd workers, a commercial survey panel provider for online panelists, and a research volunteering website for citizen scientists. The analysis seeks to address the following two questions: (1) whether online panelists, crowd workers or volunteers may engage in motivated misreporting differently and (2) whether the patterns of misreporting vary by different task types. We further seek to examine potential correlation between the patterns of motivated misreporting and the data quality of complex scientific research tasks. The study closes with suggestions of quality assurance practices of incorporating collective intelligence to improve the system for massive online information analysis in social science research.
Data Quality Concerns when Crowdsourcing Scientific TasksStephanie Eckman
Crowdsourcing has become a popular means to solicit assistance for scientific research. From classifying images or texts to responding to surveys, tapping into the knowledge of crowds to complete complex tasks has become a common strategy in social and information sciences. Although the timeliness and cost-effectiveness of crowdsourcing may provide desirable advantages to researchers, the data it generates may be of lower quality for some scientific purposes. The quality control mechanisms, if any, offered by common crowdsourcing platforms may not provide robust measures of data quality. This study explores whether research task participants may engage in motivated misreporting whereby participants tend to cut corners to reduce their workload while performing various scientific tasks online. We conducted an experiment with three common crowdsourcing tasks: answering surveys, coding images, and classifying online social media content. The experiment recruited workers from three sources: a crowdsourcing platform for crowd workers, a commercial survey panel provider for online panelists, and a research volunteering website for citizen scientists. The analysis seeks to address the following two questions: (1) whether online panelists, crowd workers or volunteers may engage in motivated misreporting differently and (2) whether the patterns of misreporting vary by different task types. We further seek to examine potential correlation between the patterns of motivated misreporting and the data quality of complex scientific research tasks. The study closes with suggestions of quality assurance practices of incorporating collective intelligence to improve the system for massive online information analysis in social science research.
Change is the only constant, and who knows it better than us.
Since internet and mobile is changing every industry so I decided to have a look at the impact of these two game-changing factors on MR and summed up my thoughts in the attached presentation.
Here is a summary of what I think will happen in Marketing research:-
1. Traditional MR will be replaced by Social Media Listening and Integrated data solutions
2. Revenues of marketing research will mostly come from emerging economies and hence more understanding of local languages and cultures will be required to interpret data meaningfully
3. Integrated data mining tools that will integrate social media data, sales data/ retail data and with customer profile will be used in predictive models to forecast behaviors and trends.
4. Impact of each data based decision will be assessed through financial value i.e. cost of analysis and revenue generated
5. A Research manager will be required to understand the complete value chain of client and how the data is flowing in the value chain. Plus, he will be required to understand strategic planning, forecasting models, data integration methodologies
How media consumption habits are changing.CatchTalk.TV
Full video here: http://www.catchtalk.tv/events/digitalmediastrategies?video=how-media-consumption-habits-are-changing-douglas-mccabe-ceo-enders-analysis
Douglas leads the publishing and transformation practice at Enders Analysis. An opinion leader on print and online media, he reports on media substitution, and consults on digital commercial strategies for content and service businesses. He is a former director of Fish4, the online advertising portal, and before that he led sales development and market intelligence at Waterstones/HMV.
The talk has three parts : the first part gives an overview of data science work, including roadmap of data science team, responsibility and value of data scientists; the second part talks about pitfalls in analysis and teaches some common analysis methods; the third part takes decision support, metrics and AB testing as examples to explain the data science work and how they are translated to business value.
Anecdotes about real life usage of Analytics - research done on Google, hence no claims on accuracy. Please use this as a directional insights into the applications and benefits.
Culture Counts - Measure and communicate your value.
Culture Counts is a web-app developed to help cultural organisations measure feedback from the public, their peers, and themselves, and aid in communicating their value. We recently participated in the APACA conference in Hobart and discussed the problems with measurement in the arts sector - including a lack of consistent definitions, and the current high cost of surveying.
This presentation outlines the above as well as providing an outline of the Culture Counts system and how it can benefit a range of parties including funding bodies, organisations and the public.
Data Quality Concerns when Crowdsourcing Scientific TasksStephanie Eckman
From classifying images or texts to responding to surveys, tapping into the knowledge of crowds to complete complex tasks has become a common strategy in social and information sciences. Although the timeliness and cost-effectiveness of crowdsourcing may provide desirable advantages to researchers, the data it generates may be of lower quality for some scientific purposes. The quality control mechanisms, if any, offered by common crowdsourcing platforms may not provide robust measures of data quality. This study explores whether research task participants may engage in motivated misreporting whereby participants tend to cut corners to reduce their workload while performing various scientific tasks online. We conducted an experiment with three common crowdsourcing tasks: answering surveys, coding images, and classifying online social media content. The experiment recruited workers from three sources: a crowdsourcing platform for crowd workers, a commercial survey panel provider for online panelists, and a research volunteering website for citizen scientists. The analysis seeks to address the following two questions: (1) whether online panelists, crowd workers or volunteers may engage in motivated misreporting differently and (2) whether the patterns of misreporting vary by different task types. We further seek to examine potential correlation between the patterns of motivated misreporting and the data quality of complex scientific research tasks. The study closes with suggestions of quality assurance practices of incorporating collective intelligence to improve the system for massive online information analysis in social science research.
Data Quality Concerns when Crowdsourcing Scientific TasksStephanie Eckman
Crowdsourcing has become a popular means to solicit assistance for scientific research. From classifying images or texts to responding to surveys, tapping into the knowledge of crowds to complete complex tasks has become a common strategy in social and information sciences. Although the timeliness and cost-effectiveness of crowdsourcing may provide desirable advantages to researchers, the data it generates may be of lower quality for some scientific purposes. The quality control mechanisms, if any, offered by common crowdsourcing platforms may not provide robust measures of data quality. This study explores whether research task participants may engage in motivated misreporting whereby participants tend to cut corners to reduce their workload while performing various scientific tasks online. We conducted an experiment with three common crowdsourcing tasks: answering surveys, coding images, and classifying online social media content. The experiment recruited workers from three sources: a crowdsourcing platform for crowd workers, a commercial survey panel provider for online panelists, and a research volunteering website for citizen scientists. The analysis seeks to address the following two questions: (1) whether online panelists, crowd workers or volunteers may engage in motivated misreporting differently and (2) whether the patterns of misreporting vary by different task types. We further seek to examine potential correlation between the patterns of motivated misreporting and the data quality of complex scientific research tasks. The study closes with suggestions of quality assurance practices of incorporating collective intelligence to improve the system for massive online information analysis in social science research.
Change is the only constant, and who knows it better than us.
Since internet and mobile is changing every industry so I decided to have a look at the impact of these two game-changing factors on MR and summed up my thoughts in the attached presentation.
Here is a summary of what I think will happen in Marketing research:-
1. Traditional MR will be replaced by Social Media Listening and Integrated data solutions
2. Revenues of marketing research will mostly come from emerging economies and hence more understanding of local languages and cultures will be required to interpret data meaningfully
3. Integrated data mining tools that will integrate social media data, sales data/ retail data and with customer profile will be used in predictive models to forecast behaviors and trends.
4. Impact of each data based decision will be assessed through financial value i.e. cost of analysis and revenue generated
5. A Research manager will be required to understand the complete value chain of client and how the data is flowing in the value chain. Plus, he will be required to understand strategic planning, forecasting models, data integration methodologies
How media consumption habits are changing.CatchTalk.TV
Full video here: http://www.catchtalk.tv/events/digitalmediastrategies?video=how-media-consumption-habits-are-changing-douglas-mccabe-ceo-enders-analysis
Douglas leads the publishing and transformation practice at Enders Analysis. An opinion leader on print and online media, he reports on media substitution, and consults on digital commercial strategies for content and service businesses. He is a former director of Fish4, the online advertising portal, and before that he led sales development and market intelligence at Waterstones/HMV.
The talk has three parts : the first part gives an overview of data science work, including roadmap of data science team, responsibility and value of data scientists; the second part talks about pitfalls in analysis and teaches some common analysis methods; the third part takes decision support, metrics and AB testing as examples to explain the data science work and how they are translated to business value.
Anecdotes about real life usage of Analytics - research done on Google, hence no claims on accuracy. Please use this as a directional insights into the applications and benefits.
With the help of this powerpoint presentation, Ken Mease, discusses the advantages of various types of data sources and collection methods, including archival and secondary data, survey data, quantitative and qualitative approaches and data, and finally de jure and de facto information. The presentation was held at the Workshop on Governance Assessment Methods and Applications of Governance Data in Policy-Making (June 2009)
[DSC Europe 23] Alen Kisic - How can do Facebook data and machine learning al...DataScienceConferenc1
This talk explores the application of machine learning algorithms on the social network Facebook users' activity data to develop predictive models of election outcomes. The main goal is to compare their accuracy and reliability with the models obtained by traditional public opinion polls. Four different approaches to machine learning are used to develop predictive models: an approach based on: error, information, similarity, and probability. The most effective approach is revealed. Obtaining equally effective predictive models with faster and easier access to data makes a significant scientific and social contribution to research in this area.
The definitive survey tool, deployed over GSM or CDMA mobile networks, with proven capability of providing contamination free data and responses when compared to traditional survey methods.
The v-Survey product is part of the robust and scalable v-Automate suite of products from GramVaani technologies.
This technology is applicable across numerous verticals- from the large corporate, to the small and medium enterprise, non- profits to social enterprises, to governments and multilateral agencies.
This technology provides a robust, scalable survey and research tool over GSM and CDMA mobile networks,assures good quality , quantitative and qualitative data, saving considerable costs.
White Paper from Campaign Sciences, helping to explain how we help our clients win. Campaign Sciences is the only Analytics firm exclusively serving conservative Republican candidates and organizations
Data Quality Doesn’t Just Happen: And Here’s What Some of the Industry’s Most...InsightInnovation
Data quality isn’t always the sexiest topic, but it’s critical and one that buyers and suppliers often neglect to have. The ramifications of ignoring it can cost millions of dollars. Some of the industry’s largest buyers and suppliers have found a simple solution though and it’s one that is available to everyone else too. Come here about how the issue of data quality concerns haven’t gone away, and what others are doing to make sure they and their insights are protected.
Webinar: Everyone cares about sample quality but not everyone values it!Matt Dusig
On December 7, 2016, Mark Menig, Chief Executive Officer of TrueSample and Lisa Wilding-Brown, Chief Research Officer of Innovate MR explored various strategies to help research professionals navigate the challenging landscape of online sample quality. The webinar addressed:
• A brief overview of quality through the years. Where have we been and where are we going?
• What are current examples of online sample fraud (i.e., bots, hijackers, foreign click shops etc.)?
• What are the challenges and costs associated with today’s online fraud? How does online fraud impact data quality, specifically B2B research?
• What technical and behavioral strategies help to protect online research?
Webinar: Everyone cares about sample quality but not everyone values it!Matt Dusig
On December 7, 2016, Mark Menig, Chief Executive Officer of TrueSample and Lisa Wilding-Brown, Chief Research Officer of Innovate MR explored various strategies to help research professionals navigate the challenging landscape of online sample quality. The webinar addressed:
• A brief overview of quality through the years. Where have we been and where are we going?
• What are current examples of online sample fraud (i.e., bots, hijackers, foreign click shops etc.)?
• What are the challenges and costs associated with today’s online fraud? How does online fraud impact data quality, specifically B2B research?
• What technical and behavioral strategies help to protect online research?
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.
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.
A.I. (artificial intelligence) platforms are popping up all the time, and many of them can and should be used to help grow your brand, increase your sales and decrease your marketing costs.In this presentation:We will review some of the best AI platforms that are available for you to use.We will interact with some of the platforms in real-time, so attendees can see how they work.We will also look at some current brands that are using AI to help them create marketing messages, saving them time and money in the process. Lastly, we will discuss the pros and cons of using AI in marketing & branding and have a lively conversation that includes comments from the audience.
Key Takeaways:
Attendees will learn about LLM platforms, like ChatGPT, and how they work, with preset examples and real time interactions with the platform. Attendees will learn about other AI platforms that are creating graphic design elements at the push of a button...pre-set examples and real-time interactions.Attendees will discuss the pros & cons of AI in marketing + branding and share their perspectives with one another. Attendees will learn about the cost savings and the time savings associated with using AI, should they choose to.
Most small businesses struggle to see marketing results. In this session, we will eliminate any confusion about what to do next, solving your marketing problems so your business can thrive. You’ll learn how to create a foundational marketing OS (operating system) based on neuroscience and backed by real-world results. You’ll be taught how to develop deep customer connections, and how to have your CRM dynamically segment and sell at any stage in the customer’s journey. By the end of the session, you’ll remove confusion and chaos and replace it with clarity and confidence for long-term marketing success.
Key Takeaways:
• Uncover the power of a foundational marketing system that dynamically communicates with prospects and customers on autopilot.
• Harness neuroscience and Tribal Alignment to transform your communication strategies, turning potential clients into fans and those fans into loyal customers.
• Discover the art of automated segmentation, pinpointing your most lucrative customers and identifying the optimal moments for successful conversions.
• Streamline your business with a content production plan that eliminates guesswork, wasted time, and money.
5 big bets to drive growth in 2024 without one additional marketing dollar AND how to adapt to the biggest shifting eCommerce trend- AI.
1) Romance Your Customers - Retention
2) ‘Alternative’ Lead Gen - Advocacy
3) The Beautiful Basics - Conversion Rate Optimization
4) Land that Bottom Line - Profitability
5) Roll the Dice - New Business Models
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
When most people in the industry talk about online or digital reputation management, what they're really saying is Google search and PPC. And it's usually reactive, left dealing with the aftermath of negative information published somewhere online. That's outdated. It leaves executives, organizations and other high-profile individuals at a high risk of a digital reputation attack that spans channels and tactics. But the tools needed to safeguard against an attack are more cybersecurity-oriented than most marketing and communications professionals can manage. Business leaders Leaders grasp the importance; 83% of executives place reputation in their top five areas of risk, yet only 23% are confident in their ability to address it. To succeed in 2024 and beyond, you need to turn online reputation on its axis and think like an attacker.\
Key Takeaways:
- New framework for examining and safeguarding an online reputation
- Tools and techniques to keep you a step ahead
- Practical examples that demonstrate when to act, how to act and how to recover
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.
The session includes a brief history of the evolution of search before diving into the roles technology, content, and links play in developing a powerful SEO strategy in a world of Generative AI and social search. Discover how to optimize for TikTok searches, Google's Gemini, and Search Generative Experience while developing a powerful arsenal of tools and templates to help maximize the effectiveness of your SEO initiatives.
Key Takeaways:
Understand how search engines work
Be able to find out where your users search
Know what is required for each discipline of SEO
Feel confident creating an SEO Plan
Confidently measure SEO performance
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 Local SEO for Service Businesses in the AI Era is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
Digital Money Maker Club – von Gunnar Kessler digital.focsh890
Title One is a comprehensive examination of the impact of digital technologies on
modern society. In a world where technology continues to advance rapidly, this article delves into the nuances and complexities of the digital age, exploring Its implications across various sectors and aspects of life.
Monthly Social Media News Update May 2024Andy Lambert
TL;DR. These are the three themes that stood out to us over the course of last month.
1️⃣ Social media is becoming increasingly significant for brand discovery. Marketers are now understanding the impact of social and budgets are shifting accordingly.
2️⃣ Instagram’s new algorithm and latest guidance will help us maintain organic growth. Instagram continues to evolve, but Reels remains the most crucial tool for growth.
3️⃣ Collaboration will help us unlock growth. Who we work with will define how fast we grow. Meta continues to evolve their Creator Marketplace and now TikTok are beginning to push ‘collabs’ more too.
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.
When most people in the industry talk about online or digital reputation management, what they're really saying is Google search and PPC. And it's usually reactive, left dealing with the aftermath of negative information published somewhere online. That's outdated. It leaves executives, organizations and other high-profile individuals at a high risk of a digital reputation attack that spans channels and tactics. But the tools needed to safeguard against an attack are more cybersecurity-oriented than most marketing and communications professionals can manage. Business leaders Leaders grasp the importance; 83% of executives place reputation in their top five areas of risk, yet only 23% are confident in their ability to address it. To succeed in 2024 and beyond, you need to turn online reputation on its axis and think like an attacker.
Key Takeaways:
- New framework for examining and safeguarding an online reputation
- Tools and techniques to keep you a step ahead
- Practical examples that demonstrate when to act, how to act and how to recover
2. VP, Global Client Services
7+ years in Market Research
Staffer on multiple political
campaigns, presidential and
congressional
Works with numerous political polling
companies to assist in the research
Adam Dietrich
4. 2014 – Republican landslide in the midterm elections
2014 – British Conservative party’s easy win
2015 – Netanyahu’s popularity leading to a win
2016 - Brexit
2016 – US presidential election
(Michigan, Florida, Wisconsin)
Recent High Profile Polling Misses
5. Probability Sampling - a sampling
technique, in which the subjects of the
population get an equal opportunity to be
selected as a representative sample
Question Consistency
Length of Interview
Polling Today
6. Phone Polling Methodologies
Calls to landlines and mobile phones –
what is the right mix?
Techniques include:
Random-Digit Dialing (RDD)
Registration-Based
Likely Voter
7. Online Polling Methodologies
Panel
Double Opt-in
Email Invitations
River
Website
Banner Ads
Longitudinal
Multiple responses from the same sample pool
Models - every poll creates a quota based on
expectations of the voting population in a given district or
state
8. Different Ways People Ask Questions
“If the election were today…”
Past Participation (i.e. Voters from 2014 and 2016
elections)
Likely Voter vs. Registered Voter
9. US Population Changes In The Last Decade
Almost everyone has a mobile phone, actually a
smartphone
(81%, Comscore 2016)
Landline penetration is steadily declining
(43%, Statista 2018)
Nearly everyone in the US uses or has access to the
internet
(94%, Pew Internet Research 2017)
10. The old adage that midterm elections are made up
of the elderly is still true – but they’re online now
Many online panels have adjusted their recruitment,
incentives and community characteristics to appeal
to the 65+ crowd
Profiling – party affiliation, issue voters, voting history
and more
Changes Since The 2016 Presidential Election
14. The EMI Difference
Panel specialties: Consumer, B2B and Healthcare
Global network of 150+ panel partners
20 years of sample and survey expertise
24/7 program coverage
Thinking beyond the algorithm
15. Polling & Public Opinion
Sample of Voter Criteria:
Verified Voter Registration
National, State, Congressional, Municipal
levels
Party Affiliation (Democrat, Republican,
Independent)
Historical Election Turnout (2008, 2012, 2016)
General and Primary Election Voting History
Geographic Targeting:
US National
State
Congressional Districts
Additional Geo-Specific Targeting
Behavioral Data Points
Environmentalists
Pro Life/Pro Choice
2A Supporters/Gun Control
Advocates
Organized Labor Supporters
Political Contributors
Many more
16. Sample Blending With IntelliBlend®
Blend sample from traditional and non-traditional
sources
Blended in an intentional and controlled method
Custom sample plan that best fits your project
Ability to replace a supplier if necessary with
minimal impact to project results
Exponentially increased feasibility – no longer in top-
up situations
Wave-to-wave sample consistency
17. Proprietary, cloud-based, sample
management platform
Launch, field and close studies quicker and
more accurately than other sample
providers
Made up of several modules
SWIFT
18. Capabilities include:
Advanced quota management – manage overall
study or by partner
Click balancing based on gender, age, income and
region
Single set of redirects
Compatible with all programming platforms
Ability to pass unlimited number of variables
Sample Module
19. Capabilities:
Industry-leading digital fingerprinting
In-study survey alerts for low or problematic LOI,
incidence, completes, OQs, activity, etc.
Geo-IP blocking
Advanced bot and fraud detection
Next-Gen CAPTCHA
Quality Module
21. W W W . E M I - R S . C O M / S A L E S @ E M I - R S . C O M
A D A M D I E T R I C H : A D A M . D I E T R I C H @ E M I – R S . C O M
Editor's Notes
Welcome everyone and thank you for joining our webinar, The New Polling Mix: Increasing Accuracy With Online Surveys. My name is Brian Peterson and I am the digital marketing director at EMI and I will be the moderator for today’s webinar.
Today’s presenter will be EMI’s VP of Global Client Services, Adam Dietrich. He has been in market research for over 7 years, and has over 14 years experience with political campaigns and polling. He has worked on many congressional, statewide, and presidential campaigns across both parties.
Just a few housekeeping items before we get started.
Should be no more than 30 minutes, I want to be mindful of everyone’s time
Everybody is currently muted. I am going to keep it that way for the webinar.
If you have any questions, please enter them into the chat box – we will try and answer all of them at the end of the webinar.
We are recording the webinar today, and a copy of the recording will be sent out to you tomorrow.
With that, I am going to turn it over to Adam Dietrich
Per AAPOR (https://www.aapor.org/Education-Resources/Election-Polling-Resources/Sampling-Methods-for-Political-Polling.aspx)
Probability Sample Techniques
Random Digit Dialing
Samples of telephone area codes and exchanges are selected, and then random digits are added to the end to create 10-digit phone numbers. The first step ensures phone numbers are distributed properly by geography. The second step, adding the random numbers, makes sure that even unlisted numbers are included. This has traditionally been the standard practiced by almost all public pollsters. The major advantage of RDD is the coverage of the population: Everyone with a telephone is eligible to be sampled. The major disadvantage is that it is expensive, since many of the landline telephone numbers generated are non-working numbers and cellphone numbers need to be manually dialed by interviewers.
Registration-Based Sampling
This begins with a sample of individuals drawn from lists of registered voters, to which phone numbers are then matched (or sometimes available from the voter list). This is less costly and more efficient, as almost all calls result in reaching a working phone number, which is not true of an RDD sample. One disadvantage of an RBS sample is that voter lists often do not include unlisted telephone numbers or full coverage of cellphone numbers; additionally they may not include voters who have just moved or registered to vote.
Likely Voter
Point 1
Mobile phone penetration is 95%
81% of own a smartphone
Point 2
Roughly 43% of US households still have a landline
Heavily skewed to older demographics to still have a landline
Millenials and other ethnic groups are more likely to go cell phone only
Point 3
Over 90% of americans use the internet
65+ people are the age group compared to all others to not use the internet, but usage is still over 65%
This raises questions to how accurate traditional political polling methods can be if their sample source skews significantly older and Caucasian from the beginning?
Sources:
Mobile phone penetration - http://www.pewinternet.org/fact-sheet/mobile/
Smartphone penetration - https://www.comscore.com/Insights/Blog/US-Smartphone-Penetration-Surpassed-80-Percent-in-2016
Landline usage - https://www.statista.com/chart/2072/landline-phones-in-the-united-states/
Internet: http://www.pewinternet.org/fact-sheet/internet-broadband/
In the past money was pumped into television and radio ads, even some display signage like billboards. With Obama and Trump, we saw a shift of some of the budge that would go to these traditional methods and have it spent on online and social media. Since Obama, we have seen a big shift in online and social media spending by political campaigns.
If campaigns are changing their marketing methods, why aren’t pollster changing theirs?
Expand on each bullet
Controlled Method:
* Provides most representative and accurate demographic, behavioral and attitudinal data
At the core of the SWIFT platform is the sample module. In this module, we can quickly link your survey to any partner in our extensive global partner network, so get the respondents you need.
The driving force behind our ability to provide you the highest quality sample is our quality module, that utilizes the latest industry quality methods and some new and unique tools. This allows us to detect and eliminate more fraud, bots and duplications than other sample providers.
Our reporting module provides you a CSV export of your respondent data, so you can easily import it into your desired platform for further analysis.
I want to go ahead and open it up to questions. Again as a reminder, if you have any questions, please enter them into the chat box.