Informing our third leadership report, we surveyed NHS professionals to understand their views on the quality of patient care and leadership in delivering improvements.
Informing our third leadership report, we surveyed NHS professionals to understand their views on the quality of patient care and leadership in delivering improvements.
Managing Worker Fitness and the Economic Benefit Thereof
We have heard this over and over: ‘Your human capital is your greatest asset’, but
how do we manage our greatest asset to deliver peak performance and be happy? This paper will present findings on how an investment in the health and safety of workers could return an economic benefit.
Dr Japie Lubbe: Managing Worker Fitness and the Economic Benefit ThereofSAMTRAC International
We have heard this over and over: ‘Your human capital is your greatest asset’, but how do we manage our greatest asset to deliver peak performance and be happy? This paper will present findings on how an investment in the health and safety of workers could return an economic benefit.
Sheet1AnnéeDateRoyal Hotel OccupancyADR Royal HotelRoyal Hotel Rev.docxedgar6wallace88877
Sheet1AnnéeDateRoyal Hotel OccupancyADR Royal HotelRoyal Hotel RevParSTR OccupancySTR ADRSTR RevParEcart Ecart Ecart Rooms2102014Jan-201460%265.45159.2768%294.07200.92-8%-28.62-41.65Feb-201461%268.41163.4666%277.44182.57-5%-9.03-19.11Mar-201464%281.96181.0268%280.16191.89-4%1.80-10.88Apr-201463%274.09172.9569%288.12198.83-6%-14.03-25.88May-201463%272.50170.8679%325.23256.76-16%-52.73-85.90Jun-201465%279.85181.3480%333.09265.22-15%-53.24-83.87Jul-201466%281.74186.2381%300.94243.25-15%-19.20-57.02Aug-201465%277.04178.9788%385.63338.51-23%-108.59-159.54Sep-201466%286.15187.7191%488.98443.94-25%-202.83-256.23Oct-201469%300.38206.3687%403.46350.26-18%-103.08-143.90Nov-201466%285.99187.3283%338.20279.13-17%-52.21-91.80Dec-201467%293.30197.3980%312.04248.31-12%-18.74-50.922015Jan-201569%300.46207.6271%300.98213.89-2%-0.52-6.27Feb-201570%306.08214.8770%311.90217.620%-5.82-2.75Mar-201574%321.31238.4174%286.80213.65-0%34.5124.76Apr-201574%319.47235.7775%319.77240.41-1%-0.30-4.64May-201573%316.56230.7779%337.01267.43-6%-20.45-36.66Jun-201575%328.30247.5478%336.64262.60-3%-8.34-15.07Jul-201577%336.57257.4883%354.86295.83-7%-18.29-38.35Aug-201574%326.96241.3087%409.61354.88-13%-82.65-113.58Sep-201574%329.35244.7186%478.38411.35-12%-149.03-166.64Oct-201578%345.19267.8785%408.49346.86-7%-63.30-79.00Nov-201572%324.90234.9070%322.31224.763%2.5910.15Dec-201574%334.62245.9573%334.76243.981%-0.141.972016Jan-201674%343.26255.0460%304.76183.7714%38.5071.27Feb-201675%348.92260.9963%329.49208.3812%19.4352.61Mar-201678%368.48286.6867%309.09206.9911%59.3979.69Apr-201677%370.92286.3579%399.71314.49-1%-28.79-28.14May-201675%366.44276.3070%332.28231.096%34.1645.20Jun-201678%379.92294.4471%336.62237.537%43.3056.90Jul-201678%385.24299.3375%363.59274.422%21.6524.92Aug-201673%366.68268.0465%356.56230.598%10.1237.45Sep-201674%371.67273.9282%491.75405.47-9%-120.08-131.55Oct-201676%386.01294.9177%381.89295.50-1%4.12-0.59Nov-201672%364.67262.9369%325.71225.273%38.9637.66Dec-201674%373.34274.4069%332.99230.464%40.3543.952017Jan-201765%389.02252.8661%324.24198.154%64.7854.72Feb-201766%390.45258.4869%349.58239.57-2%40.8718.91Mar-201769%389.78269.7364%297.66190.395%92.1279.34Apr-201768%381.81257.7267%310.87209.680%70.9448.05May-201767%382.30256.9175%338.52253.51-8%43.783.39Jun-201769%381.30264.6268%324.15220.341%57.1544.28Jul-201771%381.33269.2280%363.39289.93-9%17.94-20.71Aug-201769%380.47262.5276%347.33262.78-7%33.14-0.26Sep-201770%383.12268.5785%509.22432.44-15%-126.10-163.88Oct-201773%384.33282.1077%393.24304.19-4%-8.91-22.09Nov-201769%383.06265.8471%312.99222.38-2%70.0743.47Dec-201772%383.38274.5075%338.39253.54-3%44.9920.962018Jan-201863%382.10241.4961%308.69188.722%73.4152.77Feb-201864%382.67243.3862%357.09222.701%25.5820.68Mar-201867%382.53255.1564%297.12189.423%85.4165.73Apr-201866%382.79253.4171%319.18227.33-5%63.6126.08May-201865%382.44247.8267%333.26223.25-2%49.1824.57Jun-201868%383.97259.9576%344.24260.47-8%39.73-0.52Jul-201869%382.89264.1986%352.76301.78-17%30.13-37.58.
Making cardiovascular risk reduction happen in primary care final diabetes ukTony Willis
Slides from opening plenary at Diabetes UK, 14th March 2018, London: "Cardiovascular risk reduction in diabetes: Maximising patient benefits"
This is some of the output over the last few years of the North West London Diabetes Transformation Team, demonstrating that urban deprivation doesn't need to be a barrier to improvements in care (as shown elsewhere including Tower Hamlets).
Learn about a management model that truly focuses on the experience your customers have when they are using your website or app, and why delivering the right content is essential to the online customer experience. Top Tasks Management helps you identify what matters most to your customers and tests those top tasks to measure and improve the success rates and time-on-task. Measure what your customers are doing (customer outcomes), instead of the old, traditional metrics that measure organizational inputs (websites, technologies, content, apps.) This workshop will show you how digital transformation is in essence about transforming organization-centric metrics into customer-centric metrics.
Learn about a management model that truly focuses on the experience your customers have when they are using your website or app, and why delivering the right content is essential to the online customer experience. Top Tasks Management helps you identify what matters most to your customers and tests those top tasks to measure and improve the success rates and time-on-task. Measure what your customers are doing (customer outcomes), instead of the old, traditional metrics that measure organizational inputs (websites, technologies, content, apps.) This workshop will show you how digital transformation is in essence about transforming organization-centric metrics into customer-centric metrics.
The impact of high-capability electronic health records on length of stay. Presented by Steven Shaha, Center for Policy & Public Administration, UK, at HINZ 2014, 12 November 2014, 11.15am, Marlborough Room 3
MASTERING DIGITAL TRANSFORMATION IN THE NEW BUSINESS ERADaniel McKean
Digital Transformation. It's not just about getting the latest tech; it's about a deep, meaningful shift in how businesses operate and connect with their customers.
Managing Worker Fitness and the Economic Benefit Thereof
We have heard this over and over: ‘Your human capital is your greatest asset’, but
how do we manage our greatest asset to deliver peak performance and be happy? This paper will present findings on how an investment in the health and safety of workers could return an economic benefit.
Dr Japie Lubbe: Managing Worker Fitness and the Economic Benefit ThereofSAMTRAC International
We have heard this over and over: ‘Your human capital is your greatest asset’, but how do we manage our greatest asset to deliver peak performance and be happy? This paper will present findings on how an investment in the health and safety of workers could return an economic benefit.
Sheet1AnnéeDateRoyal Hotel OccupancyADR Royal HotelRoyal Hotel Rev.docxedgar6wallace88877
Sheet1AnnéeDateRoyal Hotel OccupancyADR Royal HotelRoyal Hotel RevParSTR OccupancySTR ADRSTR RevParEcart Ecart Ecart Rooms2102014Jan-201460%265.45159.2768%294.07200.92-8%-28.62-41.65Feb-201461%268.41163.4666%277.44182.57-5%-9.03-19.11Mar-201464%281.96181.0268%280.16191.89-4%1.80-10.88Apr-201463%274.09172.9569%288.12198.83-6%-14.03-25.88May-201463%272.50170.8679%325.23256.76-16%-52.73-85.90Jun-201465%279.85181.3480%333.09265.22-15%-53.24-83.87Jul-201466%281.74186.2381%300.94243.25-15%-19.20-57.02Aug-201465%277.04178.9788%385.63338.51-23%-108.59-159.54Sep-201466%286.15187.7191%488.98443.94-25%-202.83-256.23Oct-201469%300.38206.3687%403.46350.26-18%-103.08-143.90Nov-201466%285.99187.3283%338.20279.13-17%-52.21-91.80Dec-201467%293.30197.3980%312.04248.31-12%-18.74-50.922015Jan-201569%300.46207.6271%300.98213.89-2%-0.52-6.27Feb-201570%306.08214.8770%311.90217.620%-5.82-2.75Mar-201574%321.31238.4174%286.80213.65-0%34.5124.76Apr-201574%319.47235.7775%319.77240.41-1%-0.30-4.64May-201573%316.56230.7779%337.01267.43-6%-20.45-36.66Jun-201575%328.30247.5478%336.64262.60-3%-8.34-15.07Jul-201577%336.57257.4883%354.86295.83-7%-18.29-38.35Aug-201574%326.96241.3087%409.61354.88-13%-82.65-113.58Sep-201574%329.35244.7186%478.38411.35-12%-149.03-166.64Oct-201578%345.19267.8785%408.49346.86-7%-63.30-79.00Nov-201572%324.90234.9070%322.31224.763%2.5910.15Dec-201574%334.62245.9573%334.76243.981%-0.141.972016Jan-201674%343.26255.0460%304.76183.7714%38.5071.27Feb-201675%348.92260.9963%329.49208.3812%19.4352.61Mar-201678%368.48286.6867%309.09206.9911%59.3979.69Apr-201677%370.92286.3579%399.71314.49-1%-28.79-28.14May-201675%366.44276.3070%332.28231.096%34.1645.20Jun-201678%379.92294.4471%336.62237.537%43.3056.90Jul-201678%385.24299.3375%363.59274.422%21.6524.92Aug-201673%366.68268.0465%356.56230.598%10.1237.45Sep-201674%371.67273.9282%491.75405.47-9%-120.08-131.55Oct-201676%386.01294.9177%381.89295.50-1%4.12-0.59Nov-201672%364.67262.9369%325.71225.273%38.9637.66Dec-201674%373.34274.4069%332.99230.464%40.3543.952017Jan-201765%389.02252.8661%324.24198.154%64.7854.72Feb-201766%390.45258.4869%349.58239.57-2%40.8718.91Mar-201769%389.78269.7364%297.66190.395%92.1279.34Apr-201768%381.81257.7267%310.87209.680%70.9448.05May-201767%382.30256.9175%338.52253.51-8%43.783.39Jun-201769%381.30264.6268%324.15220.341%57.1544.28Jul-201771%381.33269.2280%363.39289.93-9%17.94-20.71Aug-201769%380.47262.5276%347.33262.78-7%33.14-0.26Sep-201770%383.12268.5785%509.22432.44-15%-126.10-163.88Oct-201773%384.33282.1077%393.24304.19-4%-8.91-22.09Nov-201769%383.06265.8471%312.99222.38-2%70.0743.47Dec-201772%383.38274.5075%338.39253.54-3%44.9920.962018Jan-201863%382.10241.4961%308.69188.722%73.4152.77Feb-201864%382.67243.3862%357.09222.701%25.5820.68Mar-201867%382.53255.1564%297.12189.423%85.4165.73Apr-201866%382.79253.4171%319.18227.33-5%63.6126.08May-201865%382.44247.8267%333.26223.25-2%49.1824.57Jun-201868%383.97259.9576%344.24260.47-8%39.73-0.52Jul-201869%382.89264.1986%352.76301.78-17%30.13-37.58.
Making cardiovascular risk reduction happen in primary care final diabetes ukTony Willis
Slides from opening plenary at Diabetes UK, 14th March 2018, London: "Cardiovascular risk reduction in diabetes: Maximising patient benefits"
This is some of the output over the last few years of the North West London Diabetes Transformation Team, demonstrating that urban deprivation doesn't need to be a barrier to improvements in care (as shown elsewhere including Tower Hamlets).
Learn about a management model that truly focuses on the experience your customers have when they are using your website or app, and why delivering the right content is essential to the online customer experience. Top Tasks Management helps you identify what matters most to your customers and tests those top tasks to measure and improve the success rates and time-on-task. Measure what your customers are doing (customer outcomes), instead of the old, traditional metrics that measure organizational inputs (websites, technologies, content, apps.) This workshop will show you how digital transformation is in essence about transforming organization-centric metrics into customer-centric metrics.
Learn about a management model that truly focuses on the experience your customers have when they are using your website or app, and why delivering the right content is essential to the online customer experience. Top Tasks Management helps you identify what matters most to your customers and tests those top tasks to measure and improve the success rates and time-on-task. Measure what your customers are doing (customer outcomes), instead of the old, traditional metrics that measure organizational inputs (websites, technologies, content, apps.) This workshop will show you how digital transformation is in essence about transforming organization-centric metrics into customer-centric metrics.
The impact of high-capability electronic health records on length of stay. Presented by Steven Shaha, Center for Policy & Public Administration, UK, at HINZ 2014, 12 November 2014, 11.15am, Marlborough Room 3
MASTERING DIGITAL TRANSFORMATION IN THE NEW BUSINESS ERADaniel McKean
Digital Transformation. It's not just about getting the latest tech; it's about a deep, meaningful shift in how businesses operate and connect with their customers.
Before an advance formal Discovery Session for which planners will gather relevant business, market, and product insights, the FIRST ACTIONABLE strategic step in the strategic planning process is to develop an initial Go-To-Market framework.
Harnessing the Power of Predictive Models for Marketing Campaign Optimization...Daniel McKean
In the fast-paced world of digital marketing, making data-driven decisions is not just an advantage; it's a necessity. Among the plethora of tools and techniques at the disposal of marketers and data analysts, predictive models stand out for their ability to transform complex marketing challenges into opportunities for strategic optimization.
[Google March 2024 Update] How To Thrive: Content, Link Building & SEOSearch Engine Journal
March 2024 disrupted the SEO industry. Websites were deindexed, and manual penalties were delivered—all to produce more helpful, more trustworthy search results.
How did your website fare?
Watch us as we delve into the seismic shifts brought about by Google's March 2024 updates and explore strategies to not just survive, but thrive in this dynamic digital landscape.
You’ll learn:
- How to create content that is valuable to users (not just search engines) using E-E-A-T.
- How to build links that can boost rankings and withstand algorithm updates.
- Best practices for content creation and link building so you can thrive during algorithm updates.
With Vince Ramos, we'll examine the implications of the latest algorithm changes on content creation, link building, and SEO practices, and offer actionable insights from businesses like yours that have remained steadfast amidst the volatility.
Using real-life case studies, we’ll also show you the effectiveness of manual link building techniques and person-first content strategies.
Whether you're a seasoned SEO professional, a budding content creator, or anyone in between, this webinar will help you weather the changes in Google's algorithms and capitalize on them for sustained success.
Check out this webinar and unlock the secrets to thriving in the new Google era.
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
In the digital age, businesses are inundated with tools promising to streamline operations, enhance creativity, and boost productivity. Yet, the true key to digital transformation lies not in the accumulation of tools but in strategically integrating the right AI solutions to revolutionize workflows. Join Jordache, an experienced entrepreneur, tech strategist and AI consultant, as he explores essential AI tools across three critical categories—Ideation, Creation, and Operations—that can reshape the way your business creates, operates, and scales.This talk will guide you through the practicalities of selecting and effectively using AI tools that go beyond the basics of today’s popular tools like ChatGPT, Claude, Gemini, Midjourney, or Dall-E. For each category of tools, Jordache will address three crucial questions: What is each tool? Why is each one valuable to you as a business leader? How can you start using it in your workflow? This approach will not only clarify the role of these tools but also highlight their strategic value, making it perfect for business leaders ready to make informed decisions about integrating AI into their workflows.
Key Takeaways:
>> Strategic Selection and Integration: Understand how to select AI tools that align with your business goals and how to conceptually integrate them into your workflows to enhance efficiency and innovation.
>> Understanding AI Tool Categories: Gain a deeper understanding of how AI tools can be leveraged in the areas of ideation, creation, and operation—transforming each aspect of your business.
>> Practical Starting Points: Learn how you can start using these tools in your business with practical tips on initial steps and integration ideas.
>> Future-Proofing Your Business: Discover how staying informed about and utilizing the latest AI tools and strategies can keep your business competitive in a rapidly evolving digital landscape.
First Things First: Building and Effective Marketing Strategy
Too many companies (and marketers) jump straight into activation planning without formalizing a marketing strategy. It may seem tedious, but analyzing the mindset of your targeted audiences and identifying the messaging points most likely to resonate with them is time well spent. That process is also a great opportunity for marketers to collaborate with sales leaders and account managers on a galvanized go-to-market approach. I’ll walk you through the methods and tools we use with our clients to ensure campaign success.
Key Takeaways:
-Recognize the critical role of strategy in marketing
-Learn our approach for building an actionable, effective marketing strategy
-Receive templates and guides for developing a marketing strategy
Videos are more engaging, more memorable, and more popular than any other type of content out there. That’s why it’s estimated that 82% of consumer traffic will come from videos by 2025.
And with videos evolving from landscape to portrait and experts promoting shorter clips, one thing remains constant – our brains LOVE videos.
So is there science behind what makes people absolutely irresistible on camera?
The answer: definitely yes.
In this jam-packed session with Stephanie Garcia, you’ll get your hands on a steal-worthy guide that uncovers the art and science to being irresistible on camera. From body language to words that convert, she’ll show you how to captivate on command so that viewers are excited and ready to take action.
The Forgotten Secret Weapon of Digital Marketing: Email
Digital marketing is a rapidly changing, ever evolving industry--Influencers, Threads, X, AI, etc. But one of the most effective digital marketing tools is also one of the oldest: Email. Find out from two Houston-based digital experts how to maximize your results from email.
Key Takeaways:
Email has the best ROI of any digital tactic
It can be used at any stage of the customer journey
It is increasingly important as the cookie-less future gets closer and closer
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
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.
Come learn how YOU can Animate and Illuminate the World with Generative AI's Explosive Power. Come sit in the driver's seat and learn to harness this great technology.
Is AI-Generated Content the Future of Content Creation?Cut-the-SaaS
Discover the transformative power of AI in content creation with our presentation, "Is AI-Generated Content the Future of Content Creation?" by Puran Parsani, CEO & Editor of Cut-The-SaaS. Learn how AI-generated content is revolutionizing marketing, publishing, education, healthcare, and finance by offering unprecedented efficiency, creativity, and scalability.
Understanding
AI-Generated Content:
AI-generated content includes text, images, videos, and audio produced by AI without direct human involvement. This technology leverages large datasets to create contextually relevant and coherent material, streamlining content production.
Key Benefits:
Content Creation: Rapidly generate high-quality content for blogs, articles, and social media.
Brainstorming: AI simulates conversations to inspire creative ideas.
Research Assistance: Efficiently summarize and research information.
Market Insights:
The content marketing industry is projected to grow to $17.6 billion by 2032, with AI-generated content expected to dominate over 55% of the market.
Case Study: CNET’s AI Content Controversy:
CNET’s use of AI for news articles led to public scrutiny due to factual inaccuracies, highlighting the need for transparency and human oversight.
Benefits Across Industries:
Marketing: Personalize content at scale and optimize engagement with predictive analytics.
Publishing: Automate content creation for faster publication cycles.
Education: Efficiently generate educational materials.
Healthcare: Create accurate content for patients and professionals.
Finance: Produce timely financial content for decision-making.
Challenges and Ethical Considerations:
Transparency: Disclose AI use to maintain trust.
Bias: Address potential AI biases with diverse datasets.
SEO: Ensure AI content meets SEO standards.
Quality: Maintain high standards to prevent misinformation.
Conclusion:
AI-generated content offers significant benefits in efficiency, personalization, and scalability. However, ethical considerations and quality assurance are crucial for responsible use. Explore the future of content creation with us and see how AI is transforming various industries.
Connect with Us:
Follow Cut-The-SaaS on LinkedIn, Instagram, YouTube, Twitter, and Medium. Visit cut-the-saas.com for more insights and resources.
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.
SMM Cheap - No. 1 SMM panel in the worldsmmpanel567
Boost your social media marketing with our SMM Panel services offering SMM Cheap services! Get cost-effective services for your business and increase followers, likes, and engagement across all social media platforms. Get affordable services perfect for businesses and influencers looking to increase their social proof. See how cheap SMM strategies can help improve your social media presence and be a pro at the social media game.
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.
Short video marketing has sweeped the nation and is the fastest way to build an online brand on social media in 2024. In this session you will learn:- What is short video marketing- Which platforms work best for your business- Content strategies that are on brand for your business- How to sell organically without paying for ads.
For too many years marketing and sales have operated in silos...while in some forward thinking companies, the two organizations work together to drive new opportunity development and revenue. This session will explore the lessons learned in that beautiful dance that can occur when marketing and sales work together...to drive new opportunity development, account expansion and customer satisfaction.
No, this is not a conversation about MQLs and SQLs. Instead we will focus on a framework that allows the two organizations to drive company success together.
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
How to Use AI to Write a High-Quality Article that Ranksminatamang0021
In the world of content creation, many AI bloggers have drifted away from their original vision, resulting in low-quality articles that search engines overlook. Don't let that happen to you! Join us to discover how to leverage AI tools effectively to craft high-quality content that not only captures your audience's attention but also ranks well on search engines.
Disclaimer: Some of the prompts mentioned here are the examples of Matt Diggity. Please use it as reference and make your own custom prompts.
It's another new era of digital and marketers are faced with making big bets on their digital strategy. If you are looking at modernizing your tech stack to support your digital evolution, there are a few can't miss (often overlooked) areas that should be part of every conversation. We'll cover setting your vision, avoiding siloes, adding a democratized approach to data strategy, localization, creating critical governance requirements and more. Attendees will walk away with actions they can take into initiatives they are running today and consider for the future.
1. Rev. 1.8 – May 13, 2015
CRM DATA ANALYSIS
May 14, 2015
2. Analysis Levels: Phase One
Level 1: Demographics
• Years of Experience (counts)
• Primary Position (counts)
• Area Employed (counts)
• Option: Clinical Specialty (counts)
• Option: Age Grouping (counts)
Level 2: Email Preferences
• Allow email communication (counts)
Level 3: Membership
• Years experience (average)
• Certification status (counts)
• Membership status (counts)
Level 4: Resource Use
• Past NTI attendee (counts)
• NTI attended (average)
• Education resource purchases (counts)
• Life purchase amount (average)
• CE Online credits (average)
• Webinar attendee (counts)
• Live webinars (average)
• On-Demand webinars (average)
• Certification Programs (counts)
• Membership Sign-ups (counts)
• HWE Tools (counts)
Level 5: Google Analytics
• Email attribution (visits)
• Email attribution (memberships)
• Email content downloads (type-counts)
3. Master Data Record Counts
Master Data Grooming
• Master Customer Profile Data
– 624,598 records
• Master Appended Email Profile Data
– 248,475 records
• Master Merged Data File
– 873,073 combined records
– 247,471 duplicate records
– 625,602 unique records
Duplicate routine sort: Customer ID
- 1,004 additional records discovered
via merge routine
4. Member Data Record Counts
Master Groomed Data Records
• Master Groomed Profile Data
– 625,602 count
Active Member Records
• 106,221 count
Lapsed Member Records
• 272,941 count
Non-Member Records
• 246,440 count
Members
106,221
17%
Lapsed
Members
272,941
44%
Non-
Members
246,440
39%
Record Counts
Members Lapsed Members Non-Members
5. Master Data File
Initial Observations
• An annual maintenance program may
provide the opportunity to groom, append,
merge and manage multiple sources of data
for greater value as a master CRM database
to drive ongoing communications efforts
• Guidelines for data entry may need to be
applied to better standardize classifications
to eliminate redundancies as may exist
7. Level 1: Demographics
Years of Experience
(Counts & Percentages)
< 6
Primary
Position
Area
Employed
TBD Option
Clinical Specialty
TBD Option
Age Grouping
6 - 10
Primary
Position
Area
Employed
TBD Option
Clinical Specialty
TBD Option
Age Grouping
11 - 15
Primary
Position
Area
Employed
TBD Option
Clinical Specialty
TBD Option
Age Grouping
16 - 20
Primary
Position
Area
Employed
TBD Option
Clinical Specialty
TBD Option
Age Grouping
More +
Primary
Position
Area
Employed
TBD Option
Clinical Specialty
TBD Option
Age Grouping
† Current analysis does not warrant additional optional views
8. Years of Experience
Overall Master View
68,862
52,385
42,591
70,550
46,342
31,976
22,615
16,445
10,134
4,416
1,407
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
Master Data Sample Population
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Years <2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Experience 18.73% 14.25% 11.58% 19.19% 12.60% 8.70% 6.15% 4.47% 2.76% 1.20% 0.38%
† 257,879 records (41.22%) with no experience data
Key Observations
• Affiliation trends
are largely among
professionals with
lesser experience
• Under five years
experience composes
largest population of
professionals --
approaching half of all
CRM data records
• Six to 15 years
experience have
sizeable populations
• Professionals with
much more experience
are fewer in numbers
level
MASTER VIEW
Primary sort: columns O – H – I – J - C
Percentages: professionals in the general calc. population
9. Primary Position
Past Grouping Structure
285,271
25,869
50,518
18,695 17,488
35,879
-
50,000
100,000
150,000
200,000
250,000
300,000
Bedside
Staff Nurse
Nurse
Leaders
Managers &
Admin
Advanced
Practice
Educators Other
Calculable
Master Data
Bedside
Staff Nurse
Nurse
Leaders
Managers
& Admin
Advanced
Practice
Educators Other
Population
Percentage
69.5% 6.6% 13.1% 4.9% 4.6% 9.8%
† 224,861 records (35.9%) with no primary position data
Key Observations
• Bedside/Staff Nurse
grouping comprises the
largest population who
have received past
communications
• Grouping is composed of
Bedside Staff Nurses,
Case Managers, Clinic
Nurses, Home Healthcare
Nurses
• Notably - view is
influenced with more
professionals in the
general nursing ranks –
as opposed to managing
and specialty roles
• Grouping reaches vast
majority of population
and offers opportunities
for segmenting content
for specific target
audiences
level
MASTER VIEW
‡ Primary Standard Groupings Used in Past Marketing Efforts
Percentages: professionals within
the general calc. population
Groupings represents 90% of all available primary position records
10. Primary Position
Grouping Data Table
Bedside Staff Nurse
Bedside/Staff Nurse 246,190 61.4%
Case Manager 1,027 0.3%
Clinic Nurse 30,995 7.7%
Home Healthcare Nurse 416 0.1%
TOTAL 278,628 69.5%
Nurse Leaders
Nurse Educator 7,724 1.9%
Managers/Admin 18,792 4.7%
TOTAL 26,516 6.6%
Managers/Admin
Administrator/VP 1,746 0.4%
Charge Nurse 21,425 5.3%
Clinical Coordinator 3,519 0.9%
Clinical Director 5,822 1.5%
Hospital Administrator 738 0.2%
Manager 18,792 4.7%
Outcomes Manager 428 0.1%
TOTAL 52,470 13.1%
Advanced Practice
Acute Care Nurse
Practitioner
2,191 0.5%
Clinical Nurse Specialist 7,767 1.9%
Nurse Anesthetist 1,325 0.3%
Nurse Midwife 148 0.0%
Nurse Practitioner 8,250 2.1%
TOTAL 19,681 4.9%
Educators
Nurse Educator 7,724 1.9%
Inservice/Staff Dev. 2,904 0.7%
Clinical Nurse Specialist 7,767 1.9%
TOTAL 18,395 4.6%
Other
Other 39,334 9.8%
No Data 224,851 --
Key Observations
AACN past groupings for structuring communications is a
logical approach and warrants consideration for the new
communications strategy.
† 400,741 master calculable primary position records. Some positions can be grouped in multiple categories.
level
MASTER VIEW
12. Area Employed
Past Grouping Structure
† 232,605 records (37.2%) with no departmental data
Key Observations
• Progressive Care category
used previously as a
secondary group category
for communications
• Group includes: DOU -
Direct Observation Unit,
Progressive Care Unit,
Stepdown Unit, Subacute
Care, and Telemetry
• Group represents a small
percentage (12%) of all
possible departmental
classifications
• Of note, AACN does state
they rely more on position
rather than department for
planning communications
830
17,276
9,797
715
19,204
0
5,000
10,000
15,000
20,000
25,000
DOU Progressive
Care Unit
Stepdown Unit Subacute Care Telemetry
Calculable
Master Data
DOU
Progressive
Care
Stepdown
Unit
Subacute
Care
Telemetry Other
Population
Percentage
0.2% 4.4% 2.5% 0.2% 4.9% 87.8%
Progressive Care Grouping
level
MASTER VIEW
‡ Secondary Standard Grouping Used in Past Marketing Efforts
Grouping represents 12.2% of
all departmental records
Percentages: professionals within
the general calc. population
16. Level 2: Email Preferences
Years of Experience
(Counts & Percentages)
< 6
Primary
Position
Area
Employed
Option Clinical
Specialty
Option Age
Grouping
6 - 10
Primary
Position
Area
Employed
Option Clinical
Specialty
Option Age
Grouping
11 - 15
Primary
Position
Area
Employed
Option Clinical
Specialty
Option Age
Grouping
16 - 20
Primary
Position
Area
Employed
Option Clinical
Specialty
Option Age
Grouping
More +
Primary
Position
Area
Employed
Option Clinical
Specialty
Option Age
Grouping
† Analysis revealed planned and optional views beyond years of experience would not provide added value
17. Email Opt-in Preferences
63,440
38,513
32,101
50,439
31,569
22,033
17,374
13,880
9,065
4,014
1,269
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
Opt-in Counts (387,805 - 62% of Total Records)
<2
2-3
4-5
6-10
11-15
16-20
21-25
26-30
31-35
36-40
41+
Years Exp. <2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Opt-ins 97.52% 97.42% 97.41% 97.18% 96.70% 95.97% 95.72% 95.74% 95.72% 95.62% 95.13%
† 223,964 records (35.8%) of total population have not optioned preference
Key Observations
• High percentage counts
for email opt-ins when
preference is stated
(95% +)
• A campaign effort
may increase overall
email opt-ins within
the large population for
who have not specified
preference - (224K /
36% of all records)
• Based on the
percentage results,
further breakouts
based on primary
position and area
employed may not
provide added value
104,108 additional opt-in
records not categorized by experience
level
MASTER VIEW
No significant identifiable pattern based on years experience
Percentages: professionals within
general calc. populations
19. Level 3: Membership
Years of Experience
Filters
(Counts & Percentages)
< 6
Membership
Status
Certification
6 – 10
Membership
Status
Certification
11 - 15
Membership
Status
Certification
16 - 20
Membership
Status
Certification
More +
Membership
Status
Certification
Area Employed
Option: Clinical
Specialty
Primary Position
Option: Age
Grouping
† Current analysis does not warrant additional optional views
20. † 106,221 (17%) Active Members . 272,941 (43.5%) Lapsed Members . 246,440 (39.5%) Non-Members
Membership Status
Overall Master View
Status <2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+ N/A
Active 11,757 11,253 10,090 18,974 12,763 9,184 8,352 7,578 5,670 2,623 872 7,105
Lapsed 22,770 30,040 24,983 41,292 27,638 19,076 11,855 7,123 3,473 1,373 392 82,926
Non Member 34,335 11,092 7,518 10,284 5,941 3,716 2,408 1,744 991 420 143 167,848
Key Observations
• Lapsed Membership
counts represent sizeable
audiences not identifying
with a value proposition
• Non-Members also
represent a sizeable
audience which should be
more deeply cultivated
• Opportunity: target less
experienced professionals
where numbers are highest
and impressions, value and
relationships can be built in
early career cycles for long
term affinity
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Active Member Lapsed Member Non Member
7,105
82,926
167,848
NOT SPECIFIED
level
MASTER VIEW
106,221 Active Memberships
272,941 Lapsed Memberships
17% active - master records
21. Membership Status
Active Members
11,757
11,253
10,090
18,974
12,763
9,184
8,352
7,578
5,670
2,623
872
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
Active Membership Breakout
<2
2-3
4-5
6-10
11-15
16-20
21-25
26-30
31-35
36-40
41+
Active
Membership
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Breakout 17.07% 21.48% 23.69% 26.89% 27.54% 28.72% 36.93% 46.08% 55.95% 59.40% 61.98%
† 519,381 records (83.02%) are not active members
Key Observations
• Membership largely is
among professionals with
15 years or less experience
• Active Membership
among all professionals
within CRM database is
reasonably low (17%) --
representing a sizeable
opportunity to target
distinct groups and grow
active members
• Lapsed Membership
272,941 professionals:
Non-Member totals
246,440 professionals
• Opportunity: grow active
membership from within
ranks of the CRM database
106,221 active members
level
MEMBER VIEW
Percentages: membership within the
general segmented calc. populations
22. Membership Status
Lapsed Members
22,770
30,040
24,983
41,292
27,638
19,076
11,855
7,123
3,473
1,373 392
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
Lapsed Membership Breakout
<2
2-3
4-5
6-10
11-15
16-20
21-25
26-30
31-35
36-40
41+
Lapsed
Membership
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Breakout 33.07% 57.34% 58.66% 58.53% 59.64% 59.66% 52.42% 43.31% 34.27% 31.09% 27.86%
† 272,941 records (43.63%) represent lapsed members
Key Observations
• Lapsed memberships
largely resemble the
general experience trend
data of active membership
breakouts with slight
nuances
• Lapsed memberships within
the general population is
significant at 43.63%
• Opportunity: targeted
campaigns aimed at past
members with a renewed
value proposition and
special incentives for
reactivation – along with
triggered timely renewal
notices and reminders
based on expiration dates
272,941 lapsed members
level
MEMBER VIEW
Percentages: lapsed membership within the
general segmented calc. populations
23. † 167,848 records (68.1%) non-member records
without experience data
Membership Status
Non Members
34,335
11,092
7,518
10,284
5,941
3,716
2,408 1,744 991 420 143
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
Lapsed Membership Breakout
<2
2-3
4-5
6-10
11-15
16-20
21-25
26-30
31-35
36-40
41+
Non
Membership
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Breakout 49.86% 21.17% 17.65% 14.58% 12.82% 11.62% 10.65% 10.61% 9.78% 9.51% 10.16%
Key Observations
• Non membership status is
highest at the start of the
professional’s career
• Opportunity: targeted
campaigns leveraging a
unique value proposition for
early career professionals as
a group could result in more
active memberships
246,440 non-members
level
MEMBER VIEW
Percentages: non memberships within the
general segmented calc. populations
24. † 82,926 lapsed member records with no
experience data - 92% attrition rate
Membership Status
Attrition Rate
22,770
30,040
24,983
41,292
27,638
19,076
11,855
7,123
3,473 1,373
392
1
1
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Active Lapsed
Membership <2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Attrition
Rate
65.95% 72.75% 71.23% 68.52% 68.41% 67.50% 58.67% 48.45% 37.99% 34.36% 31.01%
Key Observations
• Attrition rates are
consistently high across all
experience levels
• A prime concern should be
early stage professionals
(less than two years
experience) are leaving
association after the first
year of membership which
represents a missing value
proposition
• Opportunity: surveys
to understand what values
are perceived to be missing
and use insights to enhance
image and association
offerings
level
MEMBER VIEW
272,941 lapsed members
106,221 active members
Percentages: lapsed membership as part of all
current and past memberships
72% Overall Attrition Rate
25. † Grouping reaches 90% of all
primary position records (400,741)
Membership Status
Attrition Rate - Primary Position
145,529
13,312
24,393
10,014 8,523
88,483
-
50,000
100,000
150,000
200,000
250,000
Bedside
Staff Nurse
Nurse
Leaders
Managers &
Admin
Advanced
Practice
Educators Other
Active Members Lapsed Members
Population
Percentage
Bedside
Staff Nurse
Nurse
Leaders
Managers
& Admin
Advanced
Practice
Educators Other
Active 69,327 6,753 15,358 5,465 5,467 12,773
Lapsed 145,529 13,312 24,393 10,014 8,523 88,483
Attrition Rate 67.73% 66.34% 61.36% 64.69% 60.92% 87.39%
‡ Primary Standard Groupings Used in Past Marketing Efforts
Key Observations
• The Attrition Rate across
each of the segmented
groupings is significant
which represents members
are not finding reasons to
keep their memberships
Calculable Primary Position Data
66% Average Attrition Rate
across Primary Position Groupings
level
MEMBER VIEW
Percentages: professionals who have not renewed
memberships within the segmented position calc. populations
106,221
Active Members
272,941
Lapsed Members
26. † Grouping reaches 90% of all primary position records (400,741).
Membership Status
Primary Position Grouping
69,327 6,753 15,358 5,465 5,467 12,773
145,529
13,312
24,393
10,014 8,523
88,483
-
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
180,000
Bedside
Staff Nurse
Nurse
Leaders
Managers &
Admin
Advanced
Practice
Educators Other
Active Members Lapsed Members Non Members
Population
Percentage
Bedside
Staff Nurse
Nurse
Leaders
Managers
& Admin
Advanced
Practice
Educators Other
Active 24.9% 25.5% 29.3% 27.8% 29.7% 12.0%
Lapsed 52.2% 50.2% 46.5% 50.9% 46.3% 32.4%
Non-Members 22.9% 24.3% 24.2% 21.4% 23.9% 66.1%
‡ Primary Standard Groupings Used in Past Marketing Efforts
Key Observations
• Active memberships within
the groupings represent a
small overall percentage
• Opportunity: develop
unique campaign strategies
based on member status
Calculable Primary Position Data
Active Membership represents 26%
within Primary Position Groupings
level
MEMBER VIEW
Percentages: professionals
within segmented position calc. populations
27. † Non Members (lapsed and non-members) is clearly a large opportunity to grow memberships.
Membership Status
Primary Position Grouping Data
Bedside Staff Nurse
Position Active Lapsed Non-Member
Bedside/Staff Nurse 61,302 134,759 50,129
Case Manager 219 501 407
Clinic Nurse 7,858 10,165 12,972
Home Healthcare Nurse 48 104 264
TOTAL 69,427 145,529 63,772
Nurse Leaders
Position Active Lapsed Non-Member
Nurse Educator 2,914 2,372 2,438
Managers/Admin 3,839 10,940 4,013
TOTAL 6,753 13,312 6,451
Managers/Admin
Position Active Lapsed Non-Member
Administrator/VP 475 582 689
Charge Nurse 8,102 7,910 5,413
Clinical Coordinator 1,263 1,281 975
Clinical Director 1,359 3,310 1,153
Hospital Administrator 206 229 303
Manager 3,839 10,940 4,013
Outcomes Manager 114 141 173
TOTAL 15,358 24,393 12,719
Advanced Practice
Position Active Lapsed Non-Member
Acute Care Nurse
Practitioner
905 769 517
Clinical Nurse Specialist 2,169 4,001 1,597
Nurse Anesthetist 247 904 174
Nurse Midwife 3 28 117
Nurse Practitioner 2,141 4,312 1,797
TOTAL 5,465 10,014 4,202
Educators
Position Active Lapsed Non-Member
Nurse Educator 2,914 2,372 2,438
Inservice/Staff Dev. 384 2,150 370
Clinical Nurse Specialist 2,169 4,001 1,597
TOTAL 5,467 8,523 4,405
Other
Position Active Lapsed Non-Member
Other 12,773 88,483 162,939
Key Observations
Targeted group communications based on area of
professional practice opens up many possibilities for the
content strategy.
level
MEMBER VIEW
29. † 47,822 area employed master records within grouping.
Membership Status
Area Employed Grouping
Key Observations
• As a Secondary Grouping,
value may be realized for
highly targeted and relevant
topical communications
• Key groupings within the
master Progressive Care
Group do show higher
percentages in lapsed and
non members
• Opportunity: create a
series of departmental
groups for specific targeted
communications
282
4,971
2,758
90
4,375
270
7,307
3,781
353
8,516
278
4,998
3,258
272
6,313
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
DOU Prog. Care Unit Stepdown Unit Subacute Care Telemetry
Active Members Lapsed Members Non Members
Population
Percentage
DOU
Progressive
Care
Stepdown
Unit
Subacute
Care
Telemetry Other
Active 34.0% 28.8% 28.2% 12.6% 22.8% 73.9%
Lapsed 32.5% 42.3% 38.6% 49.4% 44.3% 57.7%
Non-Members 33.5% 28.9% 33.3% 38.0% 32.9% 68.4%
86,360
180,893
82,031
47,822
Group vs. Other Possibilities
Active Lapsed
NonMember Group
‡ Secondary Standard Grouping Used in Past Marketing Efforts
level
MEMBER VIEW
Active Membership represents 26.1% within Progressive Care Grouping
Percentages: professionals
within segmented employed calc. populations
30. Membership Status
Area Employed Master Data
level
MASTER VIEW
Area Employed Active Lapsed Non Member Totals Percent
Intensive Care Unit (ICU) 18,653 31,375 13,515 63,543 29.4%
Combined ICU/CCU 11,281 27,980 6,804 46,065 24.5%
Cardiovascular-Surgical ICU 9,415 18,245 5,525 33,185 28.4%
Medical ICU 5,392 9,767 3,831 18,990 28.4%
Progressive Care Unit 4,971 7,307 4,998 17,276 28.8%
Surgical ICU 4,585 10,552 2,969 18,106 25.3%
Medical-Surgical ICU 4,436 5,703 3,657 13,796 32.2%
Telemetry 4,375 8,516 6,313 19,204 22.8%
Coronary Care Unit (CCU) 4,003 12,150 3,689 19,842 20.2%
Pediatric ICU 3,909 7,187 2,836 13,932 28.1%
Neuro/Neurosurgical ICU 2,970 4,992 2,973 10,935 27.2%
Stepdown Unit 2,758 3,781 3,258 9,797 28.2%
Emergency Department 2,585 7,354 6,428 16,367 15.8%
Recovery Room/PACU 2,376 5,050 1,799 9,225 25.8%
Catheterization Laboratory 1,813 3,437 1,086 6,336 28.6%
Trauma Unit 1,037 3,803 2,371 7,211 14.4%
Crit. Care Transport/Flight 923 1,514 463 2,900 31.8%
Neonatal ICU 834 2,134 1,898 4,866 17.1%
General Medical /Surgical Floor 734 2,002 3,650 6,386 11.5%
Medical Cardiology 698 979 967 2,644 26.4%
Interventional Cardiology 643 838 391 1,872 34.3%
Burn Unit 525 1,186 693 2,404 21.8%
Outpatient Clinical 519 984 920 2,423 21.4%
Operating Room 416 308 1,991 2,715 15.3%
Long Term Acute Care 340 535 1,057 1,932 17.6%
DOU - Direct Observation Unit 282 270 278 830 34.0%
Virtual/e-ICU 279 188 80 547 51.0%
Corporate Industry 273 789 388 1,450 18.8%
Oncology 235 546 1,285 2,066 11.4%
Cardiac Surgery OR 220 365 314 899 24.5%
Combined Adult/Pediatric ICU 193 730 282 1,205 16.0%
Private Practice 178 406 305 889 20.0%
Cardiac Rehabilitation 171 680 397 1,248 13.7%
Home Care 152 774 667 1,593 9.5%
Acute Hemodialysis Unit 133 411 458 1,002 13.3%
Cardiology 129 1,321 147 1,597 8.1%
Respiratory ICU 99 372 273 744 13.3%
Cardiovascular/Medical 93 747 86 926 10.0%
Subacute Care 90 353 272 715 12.6%
Primary sort: active descending counts
Percentages: membership within the segmented departmental general populations
† 392,997 records.
33. 5,286
8,872 9,178
17,362
11,429
8,047 7,647
6,719
4,803
2,129
595
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
General Population Certification Breakout
<2
2-3
4-5
6-10
11-15
16-20
21-25
26-30
31-35
36-40
41+
Certification Status
Overall Master View
† 541,497 records (86.56%) do not have certification
Key Observations
• Certification within the
master population is
extremely low at 13%
• Opportunity exists to
increase new certification
percentages overall –
among members and non-
members especially among
those with fewer years
experience to improve
trends in later years
• Other targeted campaign
considerations: renewing
lapsed certifications and
campaigns targeting a large
number of non certified
professionals - (member &
non member)
Master
Population
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Certified 7.68% 16.94% 21.55% 24.61% 24.66% 25.17% 33.81% 40.86% 47.39% 48.21% 42.29%
84,105 certified professionals
70,403 lapsed certifications
471,094 non-certified
level
MASTER VIEW
Percentages: certification within
the experience segmented master populations
34. † 84,105 (13.4%) Active Certifications. 70,403 (11.3%) Lapsed Certifications. 471,094 (75.3%) No Past Certification
Certification Status
Overall Master View
Status <2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+ N/A
Active Cert. 5,286 8,872 9,178 17,362 11,429 8,047 7,647 6,719 4,803 2,129 595 2,038
Lapsed Cert. 2,908 6,316 6,354 13,502 11,423 9,472 5,994 3,969 2,099 949 359 7,058
No Past
Certification
60,668 37,197 27,059 39,686 23,490 14,457 8,974 5,757 3,232 1,338 453 248,783
Key Observations
• Lapsed Certification
percentages represents a
sizeable audience who may
be reactivated
• Opportunity: reactivate
large Lapsed audience
• No Certification represents
the largest audience
opportunity which should
be more deeply cultivated
• Opportunity: target less
experienced professionals
where numbers are highest
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Active Certification Lapsed Certification Non Certification
2,038
7,058
248,783
NOT SPECIFIED
level
MASTER VIEW
35. † 56,418 active members (53.11%) do have certification
2,643
5,041
5,513
11,528
8,039
5,784 5,525
5,187
3,877
1,755
501
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
Active Members Certification Breakout
<2
2-3
4-5
6-10
11-15
16-20
21-25
26-30
31-35
36-40
41+
Certification Status
Certified Active Members
Key Observations
• Certification among active
members is better than the
general population, but still
remains reasonably low at
56%
• Trend line resembles
general population trend
line
• Opportunity: campaigns
to target reactivation as
expiration dates approach
to keep certification
percentages growing
Active
Members
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Certified 22.48% 44.80% 54.64% 60.76% 62.99% 62.98% 66.15% 68.45% 68.38% 66.91% 57.45%
106,221 active members
56,418 certified members
level
MEMBER VIEW
Percentages: certification within the active
membership segmented experience populations
36. † 49,803 active members (46.89%) do not have certification
9,114
6,212
4,577
7,446
4,724
3,400
2,827
2,391
1,793
868
371
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
10,000
Active Members Not Certified Breakout
<2
2-3
4-5
6-10
11-15
16-20
21-25
26-30
31-35
36-40
41+
Certification Status
Non-Certified Active Members
Key Observations
• Non-certification among
active members represents
a sizeable opportunity to
grow certifications
• Noticeably non-certification
is highest among younger
career professionals
• Opportunity: targeted
campaigns to gain
certifications via re-
certification (as role
appropriate) and new
certifications
Active
Members
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Non Certified 77.52% 55.20% 45.36% 39.24% 37.01% 37.02% 33.85% 31.55% 31.62% 33.09% 42.55%
106,221 active members
49,713 non-certified members
level
MEMBER VIEW
Percentages: non-certification within the active
membership segmented experience populations
37. † 7,058 lapsed certification records with no
experience data - 78% attrition rate
Certification Status
Attrition Rate
2,908
6,316 6,354
13,502
11,423
9,472
5,994
3,969
2,099
949
359
1
1
1
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Active Certification Lapsed Certification
Certification <2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Attrition
Rate
35.49% 41.59% 40.91% 43.75% 49.99% 54.07% 43.94% 37.14% 30.41% 30.83% 37.63%
Key Observations
• For every certification
awarded, one certification
lapses
• Opportunity: targeted
campaigns to trigger re-
certification upon expiration
dates
level
MEMBER VIEW
70,403 lapsed certifications
84,105 active certifications
46% Overall Attrition Rate
Percentages: lapsed certifications as part of all
current and past certifications
38. † Grouping reaches 93,508 active members (94%) / 184,458
lapsed members (91%) and 86,866 non-members (88%)
Certification Status
Primary Position Grouping
59,406
4,925 12,504 5,124 4,202
43,688 1,091 7,344 4,955 3,737
175,534
20,500
32,622
9,602 10,456
-
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
180,000
200,000
Bedside Staff
Nurse
Nurse Leaders Managers &
Admin
Advanced
Practice
Educators
Active Certification Lapsed Certifications Non Certification
Population
Percentage
Bedside
Staff Nurse
Nurse
Leaders
Managers
& Admin
Advanced
Practice
Educators Other
Active 21.3% 18.6% 23.8% 26.0% 22.8% 5.5%
Lapsed 15.7% 4.1% 14.0% 25.2% 20.3% 22.98%
Non-Members 63.0% 77.3% 62.2% 48.8% 56.8% 51.7%
‡ Primary Standard Groupings Used in Past Marketing Efforts
Key Observations
• Non Certifications
constitute the largest
population for growing
new certifications
• Opportunity: leverage
grouping structure with a
membership drive to
increase overall number of
certifications
Calculable Primary Position Data
level
MEMBER VIEW
Percentages: certified within
the segmented position general populations
Active Certification represents 22%
within Primary Position Groupings
39. Certification Status
Primary Position Grouping Data
Bedside Staff Nurse
Position Active Lapsed Non Certified
Bedside/Staff Nurse 53,275 41,305 151,610
Case Manager 154 330 543
Clinic Nurse 5,968 2,019 23,008
Home Healthcare Nurse 9 34 373
TOTAL 59,406 43,688 175,534
Nurse Leaders
Position Active Lapsed Non Certified
Nurse Educator 2,219 1,045 4,460
Managers/Admin 2,706 46 16,040
TOTAL 4,925 1,091 20,500
Managers/Admin
Position Active Lapsed Non Certified
Administrator/VP 166 390 1,190
Charge Nurse 7,321 1,375 12,729
Clinical Coordinator 1,259 338 1,922
Clinical Director 851 1,216 3,755
Hospital Administrator 113 110 515
Manager 2,706 3,828 12,258
Outcomes Manager 88 87 253
TOTAL 12,504 7,344 32,622
Advanced Practice
Position Active Lapsed Non Certified
Acute Care Nurse
Practitioner
935 259 997
Clinical Nurse Specialist 1,778 1,654 4,335
Nurse Anesthetist 354 587 384
Nurse Midwife 4 5 139
Nurse Practitioner 2,053 2,450 3,747
TOTAL 5,124 4,955 9,602
Educators
Position Active Lapsed Non Certified
Nurse Educator 2,219 1,045 4,460
Inservice/Staff Dev. 205 1,038 1,661
Clinical Nurse Specialist 1,778 1,654 4,335
TOTAL 4,202 3,737 10,456
Other
Position Active Lapsed Non Certified
Other 4,647 16,115 243,433
Key Observations
Past Grouping hierarchies present the opportunity to
develop targeted communications for two levels based
on 1) Segmented Groups, and 2) Membership Status.
† Non Members (lapsed and non certified) overshadow active member certifications.
level
MEMBER VIEW
41. † 47,822 area employed master records within grouping.
Certification Status
Area Employed Grouping
Key Observations
• As a Secondary Grouping,
the largest opportunity to
grow certifications resides
in the non-certified category
• Opportunity: develop a
series of departmental
groups for specific targeted
communications based on
certification status
237
4,137
2,164
52
3,760
37
1,287
605 114
1,430
556
11,852
7,028
549
14,014
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
DOU Progressive
Care Unit
Stepdown Unit Subacute Care Telemetry
Active Certification Lapsed Certification Non Certification
level
MEMBER VIEW
‡ Secondary Standard Grouping Used in Past Marketing Efforts
21.6% Active Certifications within
Progressive Care Grouping
Population
Percentage
DOU
Progressive
Care
Stepdown
Unit
Subacute
Care
Telemetry Other
Active 28.6% 23.9% 22.1% 7.3% 19.6% 78.4%
Lapsed 4.5% 7.4% 6.2% 15.9% 7.4% 92.7%
Non-Members 67.0% 68.6% 71.7% 76.8% 73.0% 28.9%
Percentages: professionals
within segmented employed calc. populations
86,360
180,893
82,031
47,822
Group vs. Other Possibilities
Active Lapsed
NonMember Group
42. Certification Status
Area Employed Master Data
level
MASTER VIEW
† 392,997 records.
Area Employed Active Lapsed Non Certified Totals Percent
Intensive Care Unit (ICU) 14,918 9,076 39,549 63,543 23.5%
Combined ICU/CCU 9,175 10,377 26,513 46,065 19.9%
Cardiovascular-Surgical ICU 9,079 6,378 17,728 33,185 27.4%
Coronary Care Unit (CCU) 3,317 4,056 12,469 19,842 16.7%
Telemetry 3,760 1,430 14,014 19,204 19.6%
Medical ICU 4,478 2,660 11,852 18,990 23.6%
Surgical ICU 4,084 3,628 10,394 18,106 22.6%
Progressive Care Unit 4,137 1,287 11,852 17,276 23.9%
Emergency Department 2,265 2,836 11,266 16,367 13.8%
Pediatric ICU 3,454 2,020 8,458 13,932 24.8%
Medical-Surgical ICU 3,553 1,373 8,870 13,796 25.8%
Neuro/Neurosurgical ICU 2,460 1,208 7,267 10,935 22.5%
Stepdown Unit 2,164 605 7,028 9,797 22.1%
Recovery Room/PACU 2,430 2,175 4,620 9,225 26.3%
Trauma Unit 1,758 1,141 4,312 7,211 24.4%
General Medical /Surgical Floor 388 347 5,651 6,386 6.1%
Catheterization Laboratory 1,631 1,266 3,439 6,336 25.7%
Neonatal ICU 1,071 815 2,980 4,866 22.0%
Crit. Care Transport/Flight 1,161 605 1,134 2,900 40.0%
Operating Room 475 667 1,573 2,715 17.5%
Medical Cardiology 616 270 1,758 2,644 23.3%
Outpatient Clinical 385 632 1,406 2,423 15.9%
Burn Unit 0 4 2,400 2,404 0.0%
Oncology 169 145 1,752 2,066 8.2%
Long Term Acute Care 110 142 1,680 1,932 5.7%
Interventional Cardiology 594 319 959 1,872 31.7%
Cardiology 35 423 1,139 1,597 2.2%
Home Care 51 332 1,210 1,593 3.2%
Corporate Industry 55 283 1,112 1,450 3.8%
Cardiac Rehabilitation 90 280 878 1,248 7.2%
Combined Adult/Pediatric ICU 133 274 798 1,205 11.0%
Acute Hemodialysis Unit 113 174 715 1,002 11.3%
Cardiovascular/Medical 26 252 648 926 2.8%
Cardiac Surgery OR 198 138 563 899 22.0%
Private Practice 117 264 508 889 13.2%
DOU - Direct Observation Unit 237 37 556 830 28.6%
Respiratory ICU 64 83 597 744 8.6%
Subacute Care 52 114 549 715 7.3%
Virtual/e-ICU 266 75 206 547 48.6%
Primary sort: active descending counts
Percentages: certification within the segmented departmental general populations
45. Level 4: Resource Use
Filters
Years of Experience Primary Position Area Employed
level
MASTER VIEW
Past NTI Attendee
Conferences Attended
Education Purchases
Purchase Amount
CE Online Credits
Webinars Attended
Live Webinars
On-Demand Webinars
Membership
Certification
HWE
47. Education Purchases
Overall Master View
level
MASTER VIEW
Years <2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+ N/A
Unique
Customers
35,359 35,199 30,453 50,128 33,022 23,980 18,650 14,459 9,236 4,059 1,281 149,565
Total Lifetime
Purchase
$8,508,502 $13,116,064 $14,618,492 $32,205,372 $27,654,537 $23,129,088 $21,844,903 $19,442,396 $14,849,558 $7,046,078 $2,578,697 $17,055,164
Avg. Lifetime
Cust. Purchase
$241 $373 $480 $642 $837 $965 $1,171 $1,345 $1,608 $1,736 $2,013 $114
35,359 35,199
30,453
50,128
33,022
23,980
18,650
14,459
9,236
4,059
1,281
0
10,000
20,000
30,000
40,000
50,000
60,000
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Unique Customers
Key Observations
• High percentage of
customers in overall master
record base
• Average Lifetime Customer
Purchase steadily increases
with years of experience
representing purchases
continue through the years
• Opportunity: develop
resource offering campaigns
to increase operating
revenue
† 625,602 master records. Averages: average customer lifetime purchase amount
409,391 Unique Customers
$519 Avg. Lifetime Purchase
65.5% of master records
48. Education Purchases
Primary Position Grouping
$115,312,068
$17,927,434
$33,477,538
$16,655,348 $16,205,292
$27,667,143
$0
$20,000,000
$40,000,000
$60,000,000
$80,000,000
$100,000,000
$120,000,000
$140,000,000
Bedside
Staff Nurse
Nurse
Leaders
Managers
& Admin
Advanced
Practice
Educators Other
Total Lifetime Purchase
Calculable
Customer Data
Bedside
Staff Nurse
Nurse
Leaders
Managers
Admin
Advanced
Practice
Educators Other
Unique
Customers
191,418 17,045 36,650 13,564 11,941 156,539
Avg. Lifetime
Cust. Purchase
$602 $1,052 $913 $1,228 $1,357 $177
Key Observations
• Bedside/Staff Nurse
grouping as the largest
customer population
represents the area
where majority of
purchased resources
• Grouping is composed of
Bedside Staff Nurses,
Case Managers, Clinic
Nurses, Home Healthcare
Nurses
• Opportunity: develop
educational resource
offering campaigns to aid
purchase cycles and to
serve as reminders
resources are available
‡ Primary Standard Groupings Used in Past Marketing Efforts
level
MASTER VIEW
† Education Purchases.
248,852 Unique Customers
$802 Average Lifetime Purchase
40% of master records
Averages: average customer lifetime purchase amount
49. Education Purchases
Primary Position Grouping Data
Bedside Staff Nurse
Position Unique Customers Lifetime Purchase Avg. Purchase
Bedside/Staff Nurse 191,418 $104,620,018 $610
Case Manager 727 $634,487 $873
Clinic Nurse 19,010 $9,978,508 $525
Home Healthcare Nurse 160 $79,054 $494
TOTAL 191,418 $115,312,068 $602
Nurse Leaders
Position Unique Customers Lifetime Purchase Avg. Purchase
Nurse Educator 5,642 $7,077,023 $1,254
Managers/Admin 11,403 $10,850,412 $952
TOTAL 17,045 $17,927,434 $1,052
Managers/Admin
Position Unique Customers Lifetime Purchase Avg. Purchase
Administrator/VP 1,229 $1,444,652 $1,175
Charge Nurse 16,866 $13,379,492 $793
Clinical Coordinator 2,680 $2,648,891 $988
Clinical Director 3,715 $4,281,392 $1,152
Hospital Admin. 489 $528,256 $1,080
Manager 11,403 $10,850,412 $952
Outcomes Manager 268 $344,443 $1,285
TOTAL 36,650 $33,477,538 $913
Advanced Practice
Poitison Unique Customers Lifetime Purchase Avg. Purchase
Acute Care Nurse 1,742 $2,123,534 $1,219
Clinical Nurse Spec. 4,721 $7,268,538 $1,540
Nurse Anesthetist 986 $819,333 $831
Nurse Midwife 34 $15,410 $453
Nurse Practitioner 6,081 $6,428,533 $1,057
TOTAL 13,564 $16,655,348 $1,228
Educators
Position Unique Customers Lifetime Purchase Avg. Purchase
Nurse Educator 5,642 $7,077,023 $1,254
Inservice/Staff Dev. 1,578 $1,859,731 $1,179
Clinical Nurse Specialist 4,721 $7,268,538 $1,540
TOTAL 11,941 $16,205,292 $1,357
Other
Position Unique Customers Lifetime Purchase Avg. Purchase
Other 156,539 $27,667,143 $177
Key Observations
Grouping represents 83% of all generated
operating revenue.
level
MASTER VIEW
† Education Purchases. Averages: average customer lifetime purchase amount
51. Education Purchases
Area Employed Grouping
Key Observations
• Three key groupings
within master group
represent majority of
educational purchases
• Compared to other
possible position
groupings, all metric
averages would be on
the low end suggesting
campaign efforts may be
better aligned to other
types of groupings
• Opportunity: selective
yet reserved campaigns
for educational purposes
$340,979
$6,772,395
$3,677,772
$177,848
$6,272,124
$0
$1,000,000
$2,000,000
$3,000,000
$4,000,000
$5,000,000
$6,000,000
$7,000,000
$8,000,000
DOU Progressive
Care Unit
Stepdown
Unit
Subacute Care Telemetry
Total Lifetime Purchase
Progressive Care Grouping
‡ Secondary Standard Grouping Used in Past Marketing Efforts
level
MASTER VIEW
Calculable
Customer Data
DOU
Progressive
Care Unit
Stepdown Unit
Subacute
Care Unit
Telemetry Other
Unique
Customers
597 12,554 7,264 350 12,878 371,748
Avg. Lifetime
Cust. Purchase
$571 $539 $506 $508 $487 $520
33,643 Unique Customers
$512 Average Lifetime Purchase
8.3% of customer records
Averages: average customer lifetime purchase amount
† Education Purchases.
52. Education Purchases
Area Employed Master Data
† 625,602 master records.
level
MASTER VIEW
Area Employed Total Pop. Unique Customers
Total Lifetime
Purchase
Avg. Lifetime
Customer Purchase
No Purchase Customer Percent
DOU - Direct Observation Unit 830 597 $340,979 $571 233 71.9%
Progressive Care Unit 17,276 12,554 $6,772,395 $539 4,722 72.7%
Stepdown Unit 9,797 7,264 $3,677,772 $506 2,533 74.1%
Subacute Care 715 350 $177,848 $508 365 49.0%
Telemetry 19,204 12,878 $6,272,124 $487 6,326 67.1%
subtotals 47,822 33,643 $17,241,119 $512 14,179 70.4%
Other 577,780 371,748 $184,807,731 $520 206,032 64.3%
totals 625,602 405,391 $202,048,850 $519 220,211 64.8%
Primary sort: alpha
Percentages: professionals within segmented area employed calc. population
54. NTI Conference
Overall Master View
level
MASTER VIEW
Status <2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+ N/A
Attendees 1,903 3,041 3,730 8,609 7,336 5,867 5,099 4,478 3,242 1,523 524 7,493
Total Attended 2,153 3,424 4,488 11,888 12,337 11,093 10,842 10,229 8,863 4,412 1,786 8,478
Avg. Attended 1.13 1.13 1.20 1.38 1.68 1.89 2.13 2.28 2.73 2.90 3.41 1.13
66,959
49,344
38,861
61,941
39,006
26,109
17,516
11,967
6,892 2,893
883
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Attendees Non Attendees
Key Observations
• Small percentage of overall
population are attending
NTI conferences
• Lifetime average
conferences attended has
a positive correlation to
years of experience
• Opportunity: more
aggressive campaigns to
increase attendance
† 89,993 attendee records. Averages: average conferences attended by attendees
52,845 Unique Attendees
1.7 Avg. Conferences Attended
8.5% of master records
55. NTI Conference
Primary Position Grouping
26,274
5,484
9,434
4,254 4,542
10,259
41,097
11,001
17,879
10,167 11,181
15,144
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
Bedside
Staff Nurse
Nurse
Leaders
Managers &
Admin
Advanced
Practice
Educators Other
Unique Attendees Total Attended
Calculable
Attendee Data
Bedside
Staff Nurse
Nurse
Leaders
Managers
& Admin
Advanced
Practice
Educators Other
Avg. Attended 1.56 2.01 1.90 2.39 1.48 2.46
Key Observations
• Bedside/Staff Nurse
grouping comprises the
largest population who
have attended past
conferences
• Grouping is composed of
Bedside Staff Nurses,
Case Managers, Clinic
Nurses, Home Healthcare
Nurses
• Repeated attendance is
low considering annual
conference
• Opportunity: develop
and promote conference
topics aligned to active
attendee audiences
‡ Primary Standard Groupings Used in Past Marketing Efforts
Groupings represents 81% of
all conference attendees
level
MASTER VIEW
† NTI Attendance. Averages: average conferences attended by attendees
56. NTI Conference
Primary Position Grouping Data
Bedside Staff Nurse
Position Attendees Avg. Attended Percent Pop.
Bedside/Staff Nurse 24,200 1.57 9.8%
Case Manager 140 2.01 13.6%
Clinic Nurse 1,919 1.47 6.2%
Home Healthcare Nurse 15 1.33 3.6%
TOTAL 26,274 1.56 9.4%
Nurse Leaders
Position Attendees Avg. Attended Percent Pop.
Nurse Educator 2,064 2.14 26.7%
Managers/Admin 3420 1.92 18.2%
TOTAL 5,484 2.01 20.7%
Managers/Admin
Position Attendees Avg. Attended Percent Pop.
Administrator/VP 396 2.43 22.7%
Charge Nurse 3,436 1.67 16.0%
Clinical Coordinator 685 1.89 19.5%
Clinical Director 1,236 2.21 21.2%
Hospital Admin. 155 2.02 21.0%
Manager 3,420 1.92 18.2%
Outcomes Manager 106 2.37 24.8%
TOTAL 9,434 1.90 18.0%
Advanced Practice
Position Attendees Avg. Attended Percent Pop.
Acute Care Nurse 519 2.16 23.7%
Clinical Nurse Spec. 1,918 2.85 24.7%
Nurse Anesthetist 102 1.63 7.7%
Nurse Midwife 8 2.13 5.4%
Nurse Practitioner 1,707 1.98 20.7%
TOTAL 4,254 2.39 21.6%
Educators
Position Attendees Avg. Attended Percent Pop.
Nurse Educator 2,064 2.14 26.7%
Inservice/Staff Dev. 560 2.30 19.3%
Clinical Nurse Specialist 1,918 2.85 24.7%
TOTAL 4,542 2.46 24.7%
Other
Position Attendees Avg. Attended Percent Pop.
Other 10,259 1.48 26.1%
Key Observations
All groupings represent a sizeable opportunity to grow
conference attendance.
level
MASTER VIEW
Percentages: professionals
within segmented position calc. populations
† NTI Attendance.
58. NTI Conference
Area Employed Grouping
Key Observations
• Progressive Care
category represents a
small percentage of the
overall attendee
population
• Repeated attendance is
low considering annual
conference
• Opportunity: develop
and promote to more
departmental group
categories for select
departmental conference
tracks that can be
developed for the
conferences
52
1,820
1,204
42
1,277
113
2,849
1,318
69
1,973
0
500
1,000
1,500
2,000
2,500
3,000
DOU Progressive
Care Unit
Stepdown Unit Subacute Care Telemetry
Unique Attendees Total Attended
Calculable
Attendee Data
DOU
Progressive
Care
Stepdown
Unit
Subacute
Care
Telemetry Other
Avg. Attended 2.17 1.57 1.09 1.64 1.55 1.73
Progressive Care Grouping
‡ Secondary Standard Grouping Used in Past Marketing Efforts
Averages: average conferences attended by attendees
† NTI Attendance.
level
MASTER VIEW
Groupings represents 8% of all
conference attendees
59. NTI Conference
Area Employed Master Data
† 625,602 master records.
level
MASTER VIEW
Position Total Pop. NTI Attendees Total Attended Avg Attended Non Attendees Attendee Percent
DOU - Direct Observation Unit 830 52 113 2.17 778 6.3%
Progressive Care Unit 17,276 1,820 2,849 1.57 15,456 10.5%
Stepdown Unit 9,797 1,204 1,318 1.09 8,593 12.3%
Subacute Care 715 42 69 1.64 673 5.9%
Telemetry 19,204 1,277 1,973 1.55 17,927 6.6%
subtotals 47,822 4,395 6,322 1.44 43,427 9.2%
Other 345,175 48,450 83,671 1.73 529,330 14.0%
totals 625,602 52,845 89,993 1.70 572,757 8.4%
Primary sort: alpha
Percentages: professionals within segmented area employed calc. population
61. Online Credits
Overall Master View
level
MASTER VIEW
Status <2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+ N/A
Online Students 23,224 11,792 11,696 20,133 12,830 8,934 7,662 6,472 4,658 2,153 701 34,225
Credits Earned 729,474 290,427 297,473 560,342 412,369 284,405 255,761 224,244 165,099 82,681 26,891 703,846
Avg. Earned Credits 31 25 25 28 32 32 33 35 35 38 38 21
0
5,000
10,000
15,000
20,000
25,000
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Online Students
Key Observations
• Early career professionals
are most active with online
education
• Current trend reveals the
least experienced career
professionals will set new
benchmarks for student
activity and credits earned
over lifetime of association
• Opportunity: promote
online education benefits
early in career cycles for
greater impact on lifetime
earned credits
† 144,480 online student records. Averages: average credits earned by student
144,480 Online Students
28 Average Earned Credits
23% of master records
62. Online Credits
Primary Position Grouping
81,751
6,534
14,832
5,129 5,020
39,615
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
Bedside
Staff Nurse
Nurse
Leaders
Managers &
Admin
Advanced
Practice
Educators Other
Online Students
Calc. Student
Data
Bedside
Staff Nurse
Nurse
Leaders
Managers
& Admin
Advanced
Practice
Educators Other
Avg. Earned
Credits
31 25 29 23 22 22
Key Observations
• Bedside/Staff Nurse
grouping as the largest
overall population
continues to be the most
significant group in this
master group
• Grouping is composed of
Bedside Staff Nurses,
Case Managers, Clinic
Nurses, Home Healthcare
Nurses
• Grouping represents 83%
of all online credits
earned or an equivalent
of 3,378,346 credits
• Opportunity: develop
and promote conference
topics aligned to active
attendee audiences
‡ Primary Standard Groupings Used in Past Marketing Efforts
Groupings represents 73% of
all online students
level
MASTER VIEW
Averages: average credits earned by students
† 144,480 online student records.
63. Online Credits
Primary Position Grouping Data
Bedside Staff Nurse
Position Students Avg. Credits Percent Pop.
Bedside/Staff Nurse 69,280 31 28.14%
Case Manager 281 30 27.36%
Clinic Nurse 12,129 30 39.13%
Home Healthcare Nurse 61 23 14.66%
TOTAL 81,751 31 29.34%
Nurse Leaders
Position Students Avg. Credits Percent Pop.
Nurse Educator 2,786 21 36.07%
Managers/Admin 3,748 28 19.94%
TOTAL 6,534 25 24.64%
Managers/Admin
Position Students Avg. Credits Percent Pop.
Administrator/VP 299 23 17.12%
Charge Nurse 8,091 31 37.76%
Clinical Coordinator 1,318 29 37.45%
Clinical Director 1,032 22 17.73%
Hospital Admin. 210 33 28.46%
Manager 3,748 28 19.94%
Outcomes Manager 134 18 31.31%
TOTAL 14,832 29 28.27%
Advanced Practice
Position Students Avg. Credits Percent Pop.
Acute Care Nurse 812 23 37.06%
Clinical Nurse Spec. 1,867 23 24.04%
Nurse Anesthetist 253 31 19.09%
Nurse Midwife 11 13 7.43%
Nurse Practitioner 2,186 23 26.50%
TOTAL 5,129 23 26.06%
Educators
Position Students Avg. Credits Percent Pop.
Nurse Educator 2,786 21 36.07%
Inservice/Staff Dev. 367 22 12.64%
Clinical Nurse Specialist 1,867 23 24.04%
TOTAL 5,020 22 27.29%
Other
Position Students Avg. Credits Percent Pop.
Other 39,615 22 13.27%
Key Observations
All groupings represent a sizeable opportunity to grow
education agenda.
level
MASTER VIEW
Percentages: students
within segmented position calc. populations
† 144,480 online student records.
65. Online Credits
Area Employed Grouping
Key Observations
• Progressive Care
category represents a
small percentage of the
overall student
population
• Grouping represents an
equivalent of 410,357
earned credits
• Opportunity: develop
and promote online
educational topics
aligned to student
audiences
239
5,273
3,157
170
5,488
0
1,000
2,000
3,000
4,000
5,000
6,000
DOU Progressive
Care Unit
Stepdown Unit Subacute Care Telemetry
Online Students
Calc. Student
Data
DOU
Progressive
Care
Stepdown
Unit
Subacute
Care
Telemetry Other
Avg. Earned
Credits
25 30 30 40 26 28
Progressive Care Grouping
‡ Secondary Standard Grouping Used in Past Marketing Efforts
Averages: average credits earned by students
level
MASTER VIEW
Groupings represents 10% of all
online students
† 144,480 online student records.
66. Online Credits
Area Employed Master Data
level
MASTER VIEW
Position Total Pop. Online Students Credits Earned Avg Credits Earned Not Online Student Percent
DOU - Direct Observation Unit 830 239 5,886 25 591 28.8%
Progressive Care Unit 17,276 5,273 159,009 30 12,003 30.5%
Stepdown Unit 9,797 3,157 95,757 30 6,640 32.2%
Subacute Care 715 170 6,809 40 545 23.8%
Telemetry 19,204 5,488 142,896 26 13,716 28.6%
subtotals 47,822 14,327 410,357 29 33,495 30.0%
Other 577,780 130,153 3,622,655 28 447,627 22.5%
totals 625,602 144,480 4,033,012 28 481,122 23.1%
Primary sort: alpha
Percentages: students within segmented area employed calc. population
† 144,480 online student records.
68. Online Webinars
Overall Master View
level
MASTER VIEW
Years <2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Attendees 2,239 1,511 1,590 3,091 2,074 1,667 1,459 1,389 1,098 496 172
Live Webinars 1,012 670 756 1,979 1,534 1,407 1,315 1,489 1,302 602 232
On Demand Webinars 2,326 1,738 1,863 3,567 2,520 1,907 1,779 1,711 1,285 518 238
Total Webinars 3,338 2,408 2,619 5,546 4,054 3,314 3,094 3,200 2,587 1,120 470
Avg. Webinars 1 2 2 2 2 2 1 2 2 2 3
2,239 1,511 1,590 3,091 2,074 1,667 1,459 1,389 1,098 496 172
3,338
2,408
2,619
5,546
4,054
3,314
3,094 3,200
2,587
1,120
470
0
1,000
2,000
3,000
4,000
5,000
6,000
<2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Webinar Attendees Total Webinars Attended
Key Observations
• Webinar attendance is
reasonably low
• Average webinar attended
indicates either format is
not resonating well with
audience or there is a lack
of active promotion
• Opportunity: more
aggressively promote online
webinar series and key time
saving benefits for all
experience categories
Averages: average webinars attended by attendees
18,355 Webinar Attendees
34,118 Webinars Attended
3% of general population
† 18,355 online webinar attendee records.
69. Online Webinars
Primary Position Grouping
16,424
5,312
5,877
3,039
6,257
4,988
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
18,000
Bedside
Staff Nurse
Nurse
Leaders
Managers &
Admin
Advanced
Practice
Educators Other
Online Webinars Attended
Calc. Attendee
Data
Bedside
Staff Nurse
Nurse
Leaders
Managers
& Admin
Advanced
Practice
Educators Other
Avg. Webinars 1.84 2.02 1.78 2.21 2.34 1.61
Key Observations
• Bedside/Staff Nurse
grouping as a group
attend more webinars,
but professionals in roles
of educators, managers
and administrators
average more webinars
attended
• Grouping represents
85% of all webinars
attended equaling
29,130 webinars
• Opportunity: develop
and promote webinar
topics aligned to active
attendee audiences
‡ Primary Standard Groupings Used in Past Marketing Efforts
Groupings represents 85% of
all online webinar attended
level
MASTER VIEW
† 18,355 online webinar attendee records. Averages: average webinars attended by attendees
70. Online Webinars
Primary Position Grouping Data
Bedside Staff Nurse
Position Attendees Avg. Webinars Percent Pop.
Bedside/Staff Nurse 7,757 2 3.15%
Case Manager 37 2 3.60%
Clinic Nurse 1,104 2 3.56%
Home Healthcare Nurse 12 1 2.88%
TOTAL 8,910 2 3.20%
Nurse Leaders
Position Attendees Avg. Webinars Percent Pop.
Nurse Educator 1,493 2 19.33%
Managers/Admin 1,133 2 6.03%
TOTAL 2,626 2 9.90%
Managers/Admin
Position Attendees Avg. Webinars Percent Pop.
Administrator/VP 151 2 8.65%
Charge Nurse 1,057 2 4.93%
Clinical Coordinator 311 2 8.84%
Clinical Director 469 2 8.06%
Hospital Admin. 79 2 10.70%
Manager 1,133 2 6.03%
Outcomes Manager 101 2 23.60%
TOTAL 3,301 2 6.29%
Advanced Practice
Position Attendees Avg. Webinars Percent Pop.
Acute Care Nurse 110 2 5.02%
Clinical Nurse Spec. 996 2 12.82%
Nurse Anesthetist 12 2 0.91%
Nurse Midwife 6 2 4.05%
Nurse Practitioner 251 1 3.04%
TOTAL 1,375 2 6.99%
Educators
Position Attendees Avg. Webinars Percent Pop.
Nurse Educator 1,493 2 19.33%
Inservice/Staff Dev. 185 2 6.37%
Clinical Nurse Specialist 996 2 12.82%
TOTAL 2,674 2 14.54%
Other
Position Attendees Avg. Webinars Percent Pop.
Other 3,091 2 1.17%
Key Observations
Nurse Educators are most active with online webinars
followed by managers and administrators.
level
MASTER VIEW
Percentages: attendees
within segmented position calc. populations
† 18,355 online webinar attendee records.
72. Online Webinars
Area Employed Grouping
Key Observations
• Progressive Care
category represents the
largest base population
in the group which
correlates to the high
number of webinars
attended
• Grouping represents an
equivalent of 2,404 of
webinars attended
• Opportunity: as
applicable, develop
and promote webinar
educational topics
aligned to attendee
audiences
62
1,046
540
24
732
0
200
400
600
800
1,000
1,200
DOU Progressive
Care Unit
Stepdown Unit Subacute Care Telemetry
Online Webinars Attended
Calc. Attendee
Data
DOU
Progressive
Care
Stepdown
Unit
Subacute
Care
Telemetry Other
Avg. Webinars 1.59 1.76 1.76 1.60 1.64 1.87
Progressive Care Grouping
‡ Secondary Standard Grouping Used in Past Marketing Efforts
level
MASTER VIEW
Groupings represents 7.6% of all
online attendees
† 18,355 online webinar attendee records. Averages: average webinars attended by attendees
73. Online Webinars
Area Employed Master Data
level
MASTER VIEW
Position Total Pop. Attendees Total Webinars Avg. Webinars No Past Webinars Attendee Percent
DOU - Direct Observation Unit 830 39 62 1.59 791 4.7%
Progressive Care Unit 17,276 594 1,046 1.76 16,682 3.4%
Stepdown Unit 9,797 306 540 1.76 9,491 3.1%
Subacute Care 715 15 24 1.60 700 2.1%
Telemetry 19,204 445 732 1.64 18,759 2.3%
subtotals 47,822 1,399 2,404 1.72 46,423 2.9%
Other 577,780 16,956 31,714 1.87 559,896 2.9%
totals 625,602 18,355 34,118 1.86 606,319 2.9%
† 18,355 online webinar attendee records.
Primary sort: alpha
Percentages: attendees within segmented employed calc. population
75. † 84,105 active certifications
2,643
5,041
5,513
11,528
8,039
5,784 5,525
5,187
3,877
1,755 501
2,643 3,831 3,665 5,834 3,390 2,263 2,122 1,532 926 374 94
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
Active Member Certification Non Member Certification
Certification Status
Active Member vs. Non Member
Key Observations
• There does appear to be
an observable correlation
between membership and
increased certification
• Certification percentages
are higher when linked to
membership
• Membership certification
(67%) vs. Non Member
Certification (33%)
• Opportunity: market (and
link) certification benefits
with new memberships and
target more aggressively
active members who have
let their certifications lapse
Experience <2 2-3 4-5 6-10 11-15 16-20 21-25 26-30 31-35 36-40 41+
Active
Members
22.48% 44.80% 54.64% 60.76% 62.99% 62.98% 66.15% 68.45% 68.38% 66.91% 57.45%
Non
Members
4.63% 9.31% 11.28% 11.31% 10.10% 9.93% 14.88% 17.28% 20.74% 20.86% 17.57%
56,418 active member certifications
27,687 non-member certifications
level
MASTER VIEW
Percentages: certification within the active
membership and lapsed and non member populations
83. Google Analytics
Overall Master View
level
MASTER VIEW
Primary Position Grouping Bedside Staff Nurses Nurse Leaders Managers / Admin Advanced Practice Educators Other
Unique Logins last 12 Months 132,977 12,046 27,118 9,264 8,976 37,942
Total Logins last 12 Months 910,038 103,590 190,790 90,493 116,741 147,408
Average Logins 6.8 8.6 7.0 9.8 13.0 3.9
132,977
12,046
27,118
9,264 8,976
37,942
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
Bedside Staff
Nurses
Nurse
Leaders
Managers /
Admin
Advanced
Practice
Educators Other
Unique Logins Last 12 Months
Key Observations
• Bedside Staff Nurses largest
population visiting website
• Advanced Practice and
Educators login the most
Averages: average logins by visitor
212,936 Website Visitors
1,402,375 Total Logins
34% of general population
† 212,936 visitor records.
84. Google Analytics
Overall Master View
level
MASTER VIEW
14,392
2,659
4,727
2,424 2,676
1,871
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
Bedside Staff
Nurses
Nurse
Leaders
Managers /
Admin
Advanced
Practice
Educators Other
Email Transactions
Key Observations
• Bedside Staff Nurses as
largest segmented group is
generating the most
transactions and revenue
from email communications
Averages: average revenue by transaction
24,944 Email Transactions
$3,825,515 Total Revenue
$153 Average Transaction
† 24,944 transaction records.
Primary Position Grouping Bedside Staff Nurses Nurse Leaders Managers / Admin Advanced Practice Educators Other
Email Transactions 14,392 2,659 4,727 2,424 2,676 1,871
Transaction Revenue $2,219,746 $411,974 $726,048 $396,102 $418,835 $250,654
Average Transaction $154 $155 $154 $163 $157 $134
85. Google Analytics
Overall Master View
level
MASTER VIEW
60,702
14,618
21,241
10,504
8,097
14,426
48,622 20,889 23,261 15,239 22,406 12,356
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
Bedside Staff
Nurses
Nurse
Leaders
Managers /
Admin
Advanced
Practice
Educators Other
Emails Sent Resource Downloads
115,750 Sent Emails
114,118 Resource Downloads
† 115,750 sent email records.
Primary Position Grouping Bedside Staff Nurses Nurse Leaders Managers / Admin Advanced Practice Educators Other
Emails Sent 60,702 14,618 21,241 10,504 8,097 14,426
Resource Downloads 48,622 20,889 23,261 15,239 22,406 12,356
Email / Download Ratio 0.8 1.4 1.1 1.5 2.8 0.9
Key Observations
• One spike observed in
the Educators segment for
email to download ratio –
which does not provide a
verifiable correlation
without further analysis
94. Customer Base
Overall Master View
Segments Active Members Lapsed Members Non Members ALL Non Members Total Base Counts
Customer Records and Counts 106,161 201,446 28,921 230,367 336,528
Lifetime Customer Purchases $107,587,575 $88,208,035 $6,253,241 $94,461,275 $202,048,850
Key Observations
• Almost all Active Members
are customers
• Lapsed Members continue
to be ACTIVE customers at
good levels
• Non Members represent
the smallest customer
population
• Opportunity: develop
campaigns that link
membership to certification
106,161
201,446
28,921
0
50,000
100,000
150,000
200,000
250,000
Active Members Lapsed Members Non Members
Customer Records and Counts
level
MASTER VIEW
336,528 Lifetime Customers
53% customers – general population
73.81%
customers
99.97%
customers
11.74%
customers
95. Customer Base
Master Data
† 336,528 master customer records.
level
MASTER VIEW
Segments Active Members Lapsed Members Non Members ALL Non Members Total Base Counts
Customer Records
and Counts
106,161 201,446 28,921 230,367 336,528
Lifetime Customer
Purchases
$107,587,575 $88,208,035 $6,253,241 $94,461,275 $202,048,850
Average Lifetime
Customer Purchase
$1,013.44 $437.87 $216.22 $410.05 $600.39
Customer
Percentage
99.94% 73.81% 11.74% 44.35% 53.79%
General Population
Base
106,221 272,941 246,440 519,381 625,602
ALL Non Members = Lapsed Members plus No Past Memberships
Percentages: customers within segmented population
96. Customer Base
Primary Position Grouping
Segments Bedside Staff Nurses Nurse Leaders Managers / Admin Advanced Practice Educators Other
Active Member Customers 69,416 6,750 15,345 5,459 5,461 12,646
Non Member Customers 121,998 10,293 21,300 8,103 6,477 75,043
Key Observations
• Active Members do make
more purchases even
though non members is a
larger population
• Grouping represents
98.66% of all purchases
$61,001,170
$10,901,513
$20,418,028
$10,534,655 $11,186,076
$54,258,531 $6,999,907 $12,986,552 $6,084,168 $4,969,944
0
10,000,000
20,000,000
30,000,000
40,000,000
50,000,000
60,000,000
70,000,000
Bedside Staff
Nurses
Nurse Leaders Managers /
Admin
Advanced
Practice
Educators
Active Member Lifetime Customer Purchases Non Member Lifetime Customer Purchases
level
MASTER VIEW
$199 Mil. Lifetime Purchases
56% Active Members
‡ Primary Standard Groupings Used in Past Marketing Efforts
† 248,839 master customer grouping records.
97. Customer Base
Primary Position Master Data
† 248,839 master customer grouping records.
level
MASTER VIEW
ALL Non Members = Lapsed Members plus No Past Memberships
Segments Bedside Staff Nurses Nurse Leaders Managers / Admin Advanced Practice Educators Totals
Active Member
Customers
69,416 6,750 15,345 5,459 5,461 102,431
Active Member
Lifetime Customer
Purchases
$61,001,170 $10,901,513 $20,418,028 $10,534,655 $11,186,076 $114,041,443
Active Member
Average Lifetime
Customer Purchase
$879 $1,615 $1,331 $1,930 $2,048 $1,113
ALL Non Member
Customers
121,998 10,293 21,300 8,103 6,477 168,171
ALL Non Member
Lifetime Customer
Purchases
$54,258,531 $6,999,907 $12,986,552 $6,084,168 $4,969,944 $85,299,102
ALL Non Member
Average Lifetime
Customer Purchase
$445 $680 $610 $751 $767 $507
Total Lifetime
Purchases
$115,259,701 $17,901,420 $33,404,581 $16,618,823 $16,156,020 $199,340,545
Customer
Population Base
278,628 26,516 52,470 19,681 18,395 248,839
98. Customer Base
Primary Position Master Data
191,414 master customer records.
level
MASTER VIEW
ALL Non Members = Lapsed Members plus No Past Memberships
CATEGORY ACTIVE MEMBERS LAPSED MEMBERS NON MEMBERS ALL NON MEMBERS TOTALS POP.
Primary
Position
Group
Active
Member
Customers
Active
Member
Lifetime
Customer
Purchases
Active
Member
Average
Lifetime
Customer
Purchase
Lapsed
Member
Customers
Lapsed
Lifetime
Customer
Purchases
Lapsed
Average
Lifetime
Customer
Purchase
Non
Member
Customers
Non
Member
Lifetime
Customer
Purchases
Non
Member
Average
Lifetime
Customer
Purchase
ALL
Non
Member
Customers
ALL
Non
Lifetime
Customer
Purchases
ALL
Non
Average
Lifetime
Customer
Purchase
Total
Lifetime
Purchases
Base
Population
Bedside /
Staff Nurse
61,296 $54,887,760 $895 100,558 $47,041,816 $468 9,667 $2,658,177 $275 110,225 $49,699,993 $451 $104,587,752 171,521
Case
Manager
218 $297,401 $1,364 474 $326,604 $689 33 $3,589 $109 507 $330,193 $651 $627,594 725
Clinic Nurse 7,855 $5,777,233 $735 9,963 $3,920,746 $394 1,191 $269,945 $227 11,154 $4,190,691 $376 $9,967,925 19,009
Home
Healthcare
Nurse
47 $38,776 $825 100 $36,249 $362 12 $1,405 $117 112 $37,654 $336 $76,429 159
Totals 69,416 $61,001,170 $879 111,095 $51,325,415 $462 10,903 $2,933,116 $269 121,998 $54,258,531 $445 $115,259,701 191,414