We’ll cover the ins and outs of running a high velocity A/B testing and experimentation program so that you can run the most meaningful tests as quickly as possible without sacrificing the quality of insights.
SAMPLE SIZE – The indispensable A/B test calculation that you’re not makingZack Notes
If you’re a marketer it’s very likely that you’ve run an A/B test. It’s also likely that you’ve never calculated the sample size for your tests, and instead, you run tests until they reach statistical significance. If this is the case, your strategy is statistically flawed. Conforming to sample size requires marketers to wait longer for test results, but choosing to ignore it will bear false positives and lead to bad decisions.
This deck was created for an email audience for there are valuable lessons for anyone who runs A/B tests.
A/B Testing and the Infinite Monkey TheoryUseItBetter
Surveys show that on average only 1 out of 7 A/B tests run by e-commerces end up to be successful. Lukasz Twardowski, the CEO of UseItBetter, tries to explain how some of the most successful online businesses master this process turning it into iterative, evidence-led experimentation at scale programme.
SXSW 2016 - Everything you think about A/B testing is wrongDan Chuparkoff
Everything you've learned about A/B Testing is based on the fundamentally flawed belief that there's one right answer. But the era of mass-market, one-right-answers is over. A/B Testing is our most valuable tool in the battle to create a more engaging web. But our strategy is broken. Don't worry, we can gain a better understanding of our users with a little data science. And we can reinvent A/B Testing... I will show you how.
At Civis Analytics, we specialize in Data Science. From here, we can clearly see that all people are not the same. So why are A/B Tests designed to search for a single solution? In this session I'll show you where A/B Testing is headed next. See you in Austin!
The 5 second rule and its applicability to uxManuswath K.B
A brief foray into the “5 second rule” and its applicability in User Experience.
This presentation will brief you in what drives human behaviour and how can we apply a 5 second test to get the best results in terms of ROI to every web page.
SearchLove Boston 2017 | Will Critchlow | Building Robot AllegiancesDistilled
Under Sundar Pichai, Google is doubling down on machine learning and artificial intelligence. Computer capabilities are improving at a frightening rate, and there are already parts of our jobs that would be better off done by robots. In this talk, Will is going to highlight the areas where humans are falling behind and give you some tips on what to do about it.
[CXL Live 16] When, Why and How to Do Innovative Testing by Marie PolliCXL
Innovative testing is risky. If not addressed carefully it can destroy your optimization strategy by creating loopholes that make it impossible to know what exactly in the change caused the uplift or drop in your conversion rate. At the same time disruptive methods are needed to break out of the ordinary and to take your business to the next level.
The session is a break down and an overview of the worst and the best of innovative testing so that when you take a jump into the unknown you know what to expect.
SAMPLE SIZE – The indispensable A/B test calculation that you’re not makingZack Notes
If you’re a marketer it’s very likely that you’ve run an A/B test. It’s also likely that you’ve never calculated the sample size for your tests, and instead, you run tests until they reach statistical significance. If this is the case, your strategy is statistically flawed. Conforming to sample size requires marketers to wait longer for test results, but choosing to ignore it will bear false positives and lead to bad decisions.
This deck was created for an email audience for there are valuable lessons for anyone who runs A/B tests.
A/B Testing and the Infinite Monkey TheoryUseItBetter
Surveys show that on average only 1 out of 7 A/B tests run by e-commerces end up to be successful. Lukasz Twardowski, the CEO of UseItBetter, tries to explain how some of the most successful online businesses master this process turning it into iterative, evidence-led experimentation at scale programme.
SXSW 2016 - Everything you think about A/B testing is wrongDan Chuparkoff
Everything you've learned about A/B Testing is based on the fundamentally flawed belief that there's one right answer. But the era of mass-market, one-right-answers is over. A/B Testing is our most valuable tool in the battle to create a more engaging web. But our strategy is broken. Don't worry, we can gain a better understanding of our users with a little data science. And we can reinvent A/B Testing... I will show you how.
At Civis Analytics, we specialize in Data Science. From here, we can clearly see that all people are not the same. So why are A/B Tests designed to search for a single solution? In this session I'll show you where A/B Testing is headed next. See you in Austin!
The 5 second rule and its applicability to uxManuswath K.B
A brief foray into the “5 second rule” and its applicability in User Experience.
This presentation will brief you in what drives human behaviour and how can we apply a 5 second test to get the best results in terms of ROI to every web page.
SearchLove Boston 2017 | Will Critchlow | Building Robot AllegiancesDistilled
Under Sundar Pichai, Google is doubling down on machine learning and artificial intelligence. Computer capabilities are improving at a frightening rate, and there are already parts of our jobs that would be better off done by robots. In this talk, Will is going to highlight the areas where humans are falling behind and give you some tips on what to do about it.
[CXL Live 16] When, Why and How to Do Innovative Testing by Marie PolliCXL
Innovative testing is risky. If not addressed carefully it can destroy your optimization strategy by creating loopholes that make it impossible to know what exactly in the change caused the uplift or drop in your conversion rate. At the same time disruptive methods are needed to break out of the ordinary and to take your business to the next level.
The session is a break down and an overview of the worst and the best of innovative testing so that when you take a jump into the unknown you know what to expect.
A primer on how ab testing can be set-up for success in an e-commerce environment. Includes guidelines of how to set-up ab tests including hypotheses definition, sample size determination, statistical testing and avoiding bias that can come in any experiment's set-up
Weapons of Math Instruction: Evolving from Data0-Driven to Science-Drivenindeedeng
Donal McMahon, Director of Data Science at Indeed, presented how to transition from data-driven to science-driven product development. You’ll make better business decisions. It’s provable!
Anyone Can Write User Stories. It's the (Shared) Understanding That's ImportantKent McDonald
“Who should write user stories?”
“How can I write better user stories?”
When should we write user stories?”
All questions frequently asked. And all questions entirely missing the point.
Just as the *holding* is the most important part of the rental car reservation, the *shared understanding* is the most important part of the user story.
Join Kent to learn how user stories help you build shared understanding of the right solution with your team. Along the way, learn some techniques to address common issues that stand in the way of getting everyone telling the same story.
Learning Objectives:
* Start with value, then identify stories
* One way to stop solutioning
* Dealing with dependencies (that may not be there) within your backlog
* Ways to split user stories into a more manageable size
* Mapping your way to acceptance criteria
Optimizely Workshop: Take Action on Results with StatisticsOptimizely
Optimizely recently released the stats engine, which moves away from the traditional statistics model and into a new framework that is more aligned with modern business operations. In this workshop, we’ll walk you through the core trade-offs in A/B Testing, and how you can use them to decide when to stop running your test.
Talks@Coursera - A/B Testing @ Internet Scalecourseratalks
Talks@Coursera
This tech talk will describe how to build an experiment platform that can handle large-scale experiments. The talk will also discuss several best practices in designing and analyzing online experiments learned from companies like Coursera, Microsoft and LinkedIn.
About the Speakers
Ya Xu has been working in the domain of online A/B testing for over 4 years. She currently leads a team of engineers and data scientists building a world-class online A/B testing platform at LinkedIn. She also spearheads taking LinkedIn's A/B testing culture to the next level by evangelizing best practices and pushing for broad-based platform adoption. She holds a Ph.D. in Statistics from Stanford University.
Chuong (Tom) Do currently leads a team of data engineers and analysts in the Analytics team at Coursera, which is responsible for data infrastructure and quantitative analysis in support of the product and business. He completed his Ph.D. in Computer Science at Stanford University in 2009 and worked as a scientist in the personal genetics company 23andMe until 2012, where his research has collectively spanned the fields of machine learning, computational biology, and statistical genetics.
To build a successful A/B testing strategy, you'll need more than just ideas of what to test, you'll need a plan that builds data into a repeatable strategy for producing winning experiments.
The software industry is witnessing a strong momentum in the adoption of agile and lean practices. Agile, Lean, Continuous Delivery, DevOps, Lean Startup have a massive impact on the role of testers. Discover how to stay relevant as a tester in a changing world.
Indeed Engineering and The Lead Developer Present: Tech Leadership and Manage...indeedeng
On March 1 2018, Indeed hosted a series of talks about leadership and management in the tech industry.
Lighting talks included Data Scientist Robyn Rap with "Fish a Manager to Teach," Product Manager Michael Magan's "What Your Product Manager Wants from a Tech Lead," and Engineering Manager Paresh Suthar discussed "New Engineering Manager at Indeed? First: Write Some Code."
Ketan Gangatirkar, head of Job Seeker Engineering, provided the keynote "Quantum Leap: From Managing a Team to Leading an Org."
The top reasons and solutions for not getting value out of your AB tests - some practical tips for designing insightful and correctly instrumented test
Presented at https://www.onlinetestconf.com/program-spring-otc-2020/
Sometimes you’re asked to start testing in a context that is not ideal: you’ve only just joined the project, the test environment is broken, the product is migrating to a new stack, the developer has left, no-one seems quite sure what’s being done or why, and there is not much time.
Knowing where to begin and what to focus on can be difficult and so in this talk I’ll describe how I try to meet that challenge.
I’ll share a definition of testing which helps me to navigate uncertainty across contexts and decide on a starting point. I’ll catalogue tools that I use regularly such as conversation, modelling, and drawing; the rule of three, heuristics, and background knowledge; mission-setting, hypothesis generation, and comparison. I’ll show how they’ve helped me in my testing, and how I iterate over different approaches regularly to focus my testing.
The takeaways from this talk will be a distillation of hard-won, hands-on experience that has given me
* an expansive, iterative view of testing
* a comprehensive catalogue of testing tools
* the confidence to start testing anything from anywhere
Mobile presentation - Sydney Online Retailer - 26 Sep 2011Craig Sullivan
In this presentation, I use analytics data from our global mobile reach, to illustrate the trends that are driving growth, how to take opportunity from them and what to do with your own site. I present a case for device and user knowledge, to allow you to optimise conversion rates, revenue and delight for visitors.
Workshop 6: Build Your Organization's Optimization CultureOptimizely
The key output of an effective testing organization is data, but data insights cannot be achieved without the collaborative input of the people that makeup the testing organization. Join this session to learn how Optimizely's most successful customers socialize testing and structure their testing organizations.
Scoopit's Content Marketing Grader for ROIScoop.it
Are you on path to Content Marketing ROI?
Do you know how good is your Content Marketing?
These are not easy questions to answer. Yet, there are effective ways to measure if you're in the right direction with your content marketing strategy and if your efforts do or will pay off in the near future.
Content Jam: Fortune and Glory, How to Make Friends, Rank High and Get Famous...Orbit Media Studios
Presentation given by Andy Crestodina at Content Jam on November 5th, 2015. Topics include specific tactics for online networking, specifically for search engine optimization benefits.
A primer on how ab testing can be set-up for success in an e-commerce environment. Includes guidelines of how to set-up ab tests including hypotheses definition, sample size determination, statistical testing and avoiding bias that can come in any experiment's set-up
Weapons of Math Instruction: Evolving from Data0-Driven to Science-Drivenindeedeng
Donal McMahon, Director of Data Science at Indeed, presented how to transition from data-driven to science-driven product development. You’ll make better business decisions. It’s provable!
Anyone Can Write User Stories. It's the (Shared) Understanding That's ImportantKent McDonald
“Who should write user stories?”
“How can I write better user stories?”
When should we write user stories?”
All questions frequently asked. And all questions entirely missing the point.
Just as the *holding* is the most important part of the rental car reservation, the *shared understanding* is the most important part of the user story.
Join Kent to learn how user stories help you build shared understanding of the right solution with your team. Along the way, learn some techniques to address common issues that stand in the way of getting everyone telling the same story.
Learning Objectives:
* Start with value, then identify stories
* One way to stop solutioning
* Dealing with dependencies (that may not be there) within your backlog
* Ways to split user stories into a more manageable size
* Mapping your way to acceptance criteria
Optimizely Workshop: Take Action on Results with StatisticsOptimizely
Optimizely recently released the stats engine, which moves away from the traditional statistics model and into a new framework that is more aligned with modern business operations. In this workshop, we’ll walk you through the core trade-offs in A/B Testing, and how you can use them to decide when to stop running your test.
Talks@Coursera - A/B Testing @ Internet Scalecourseratalks
Talks@Coursera
This tech talk will describe how to build an experiment platform that can handle large-scale experiments. The talk will also discuss several best practices in designing and analyzing online experiments learned from companies like Coursera, Microsoft and LinkedIn.
About the Speakers
Ya Xu has been working in the domain of online A/B testing for over 4 years. She currently leads a team of engineers and data scientists building a world-class online A/B testing platform at LinkedIn. She also spearheads taking LinkedIn's A/B testing culture to the next level by evangelizing best practices and pushing for broad-based platform adoption. She holds a Ph.D. in Statistics from Stanford University.
Chuong (Tom) Do currently leads a team of data engineers and analysts in the Analytics team at Coursera, which is responsible for data infrastructure and quantitative analysis in support of the product and business. He completed his Ph.D. in Computer Science at Stanford University in 2009 and worked as a scientist in the personal genetics company 23andMe until 2012, where his research has collectively spanned the fields of machine learning, computational biology, and statistical genetics.
To build a successful A/B testing strategy, you'll need more than just ideas of what to test, you'll need a plan that builds data into a repeatable strategy for producing winning experiments.
The software industry is witnessing a strong momentum in the adoption of agile and lean practices. Agile, Lean, Continuous Delivery, DevOps, Lean Startup have a massive impact on the role of testers. Discover how to stay relevant as a tester in a changing world.
Indeed Engineering and The Lead Developer Present: Tech Leadership and Manage...indeedeng
On March 1 2018, Indeed hosted a series of talks about leadership and management in the tech industry.
Lighting talks included Data Scientist Robyn Rap with "Fish a Manager to Teach," Product Manager Michael Magan's "What Your Product Manager Wants from a Tech Lead," and Engineering Manager Paresh Suthar discussed "New Engineering Manager at Indeed? First: Write Some Code."
Ketan Gangatirkar, head of Job Seeker Engineering, provided the keynote "Quantum Leap: From Managing a Team to Leading an Org."
The top reasons and solutions for not getting value out of your AB tests - some practical tips for designing insightful and correctly instrumented test
Presented at https://www.onlinetestconf.com/program-spring-otc-2020/
Sometimes you’re asked to start testing in a context that is not ideal: you’ve only just joined the project, the test environment is broken, the product is migrating to a new stack, the developer has left, no-one seems quite sure what’s being done or why, and there is not much time.
Knowing where to begin and what to focus on can be difficult and so in this talk I’ll describe how I try to meet that challenge.
I’ll share a definition of testing which helps me to navigate uncertainty across contexts and decide on a starting point. I’ll catalogue tools that I use regularly such as conversation, modelling, and drawing; the rule of three, heuristics, and background knowledge; mission-setting, hypothesis generation, and comparison. I’ll show how they’ve helped me in my testing, and how I iterate over different approaches regularly to focus my testing.
The takeaways from this talk will be a distillation of hard-won, hands-on experience that has given me
* an expansive, iterative view of testing
* a comprehensive catalogue of testing tools
* the confidence to start testing anything from anywhere
Mobile presentation - Sydney Online Retailer - 26 Sep 2011Craig Sullivan
In this presentation, I use analytics data from our global mobile reach, to illustrate the trends that are driving growth, how to take opportunity from them and what to do with your own site. I present a case for device and user knowledge, to allow you to optimise conversion rates, revenue and delight for visitors.
Workshop 6: Build Your Organization's Optimization CultureOptimizely
The key output of an effective testing organization is data, but data insights cannot be achieved without the collaborative input of the people that makeup the testing organization. Join this session to learn how Optimizely's most successful customers socialize testing and structure their testing organizations.
Scoopit's Content Marketing Grader for ROIScoop.it
Are you on path to Content Marketing ROI?
Do you know how good is your Content Marketing?
These are not easy questions to answer. Yet, there are effective ways to measure if you're in the right direction with your content marketing strategy and if your efforts do or will pay off in the near future.
Content Jam: Fortune and Glory, How to Make Friends, Rank High and Get Famous...Orbit Media Studios
Presentation given by Andy Crestodina at Content Jam on November 5th, 2015. Topics include specific tactics for online networking, specifically for search engine optimization benefits.
Applied Analytics: Insights and Actions from 13 Google Analytics ReportsOrbit Media Studios
The majority of websites use Google Analytics. It’s ubiquitous. But are marketers using it properly? Not really. Many marketers are using it only for reporting, not analysis.
Most marketers are using Analytics wrong.
In this lesson, we’ll look at specific ways to use Analytics to do real analysis, to answer questions and draw conclusions.
1. Reporting vs. Analysis: How most marketers get Analytics wrong
2. Turning ideas into questions
3. Analytics Insights: WHO is visiting? WHERE are they coming from? WHAT are they doing here? WHICH pieces of content are successful?
The truth waiting to be discovered in your Analytics. You just need to know where it’s hiding. Lots of marketers use Analytics. But great marketers use it to answer questions, support decisions and test theories for possible actions.
Once you’ve completely this lesson, you’ll have a new mindset for approaching your data and new tools for making the decisions that make the difference in your marketing.
Advanced Content Marketing & SEO: How to Publish More and Rank HigherAndy Crestodina
The art of delegation, collaboration and repurposing. These are advanced content marketing tactics for search engine optimization (SEO) for people who want to publish more content and rank higher in search. Learn how to...
• Turn your sent mail into high ranking articles
• Delegate repeatable tasks to virtual assistants
• Update older content for higher rankings and more traffic
• Support the URLs that need it most with targeted links in roundup contributions
Recommended for bloggers and marketers with 5+ years of experience, or anyone who wants to level up their content marketing and SEO skills.
Clickbait: A Guide To Writing Un-Ignorable HeadlinesVenngage
We looked at some of the top performing content on social media, from some of the top publications on the web. From this, we were able to figure out the recipe for crafting a click-worthy title. Here is what we learned...
Secrets of the Most Successful BloggersBarry Feldman
Three years of research on business blogging are summarized in this insightful infographic revealing the strategies and practices that produce the strongest results.
2017 Social Media & Content Marketing Predictions from 70 Marketing Leaders Bryan Kramer
We’ve pulled together a select group of 70 top marketing minds who rock the digital trenches every day, to find out their vision for “What’s Next in 2017” in social media and content marketing.
They live it, breathe it, and know what’s working today, so no doubt we’ll get a glimpse into the crystal ball and reveal key trends based on their insight and experience before they happen.
So what will they say for 2017? Read through and see if you agree with their predictions, and compare word clouds to last year’s answers versus what they had to say for the coming year.
Let me know if you agree, disagree or have a different take on what’s in store for marketers and brands by tweeting me @bryankramer.
Now dive in, enjoy, and brace yourself for 2017!
Cheers ~
Bryan Kramer
#70Predictions
2016 Predictions: http://bit.ly/2016ContentSocialPredictions
It's back! The annual Content Marketing Institute/Content Marketing research returns again to dissect content marketing benchmarks, budgets and trends for B2B marketers in North America.
Always Be Testing - Learn from Every A/B Test (Hiten Shah)Future Insights
Session slides from Future Insights Live, Vegas 2015:
https://futureinsightslive.com/las-vegas-2015/
Hiten Shah, co-founder of KISSmetrics and Crazy Egg, talks you through his 4-step data-driven process for successful A/B testing.
A/B testing, optimization and results analysis by Mariia Bocheva, ATD'18Mariia Bocheva
While working with data we usually face several problems: we don't have enough data, we have too much data, we don't know what to do with this data.
In this session, I'll show how to make sure you can rely on your data and share my favorite ideas on how you can use Google Analytics and other for A/B testing, optimization and analysis.
You’ll gain a better understanding on what to look at to answer your UX questions, how to run a test properly and evaluate the its results.
How to Create Winning A/B Tests through Stronger ResearchVWO
This is the accompanying presentation to a webinar on doing research for A/B testing. It describes how online marketers can create better A/B tests by investing in rigorous, useful research to create great testing hypotheses.
The topics covered are
- Analytics (digging into analytics with an eye on useful insights)
- Usability Testing
- On-site surveys
- Visual Analysis
- And finally, pulling all of these together
Web Analytics Analysis: How to Find Low-Hanging Fruit and A/B Test IdeasShanelle Mullin
Learn how to dissect your Google Analytics data to identify low hanging fruit and smarter, data-driven A/B test ideas. Start with a simple analytics health check to ensure you're tracking everything properly. Then, dig into: cross-browser and cross-device issues, broken links, site speed, your unique conversion funnel, and internal search. Segmentation ties it all together, making you an analytics whiz.
Putting Customers First: How To Build Data-Driven Strategies To Ensure Custom...VWO
When opinions take a backseat and data takes control, you can be sure of incremental revenue by building data-informed digital experiences that your customers will love. In this webinar, learn how to develop an evidence-based approach instead of an opinion-based approach.
Watch webinar recording here - https://vwo.com/resources/webinars/how-to-build-data-driven-strategies-ensuring-customer-loyalty/
Research and Discovery Tools for Experimentation - 17 Apr 2024 - v 2.3 (1).pdfVWO
You can utilize various forms of Generative Research to deepen your understanding of how people interact with your product or service.
Craig has amassed a vast toolkit of research methods, which he has employed to optimize websites and apps for over 500 companies. He'll share which methods yielded the highest return on investment, identified key customer pain points, and generated the best experiment ideas.
By sharing the top inspection methods essential for our work, Craig will provide advice for each technique. Anticipate insights on driving experiment hypotheses from research, a list of essential toolkit components for tomorrow, and additional resources for further reading.
Is Video the Future of Qualitative Research? Kantar
Can quantitative research simultaneously identify new insights and confirm market opinions? Can video play a role in quantitative research? Yes it can! Through the creative use of video open ends, you will see that quantitative research can uncover deep insights while also providing the market underpinnings we rely on.
Creating a culture that provokes failure and boosts improvementBen Dressler
Everyone fails - but not everyone uses failed attempts as a source of learning and improvement. This talk outlines a framework to turn failure into gaining knowledge by understanding IF, HOW and WHY something fails.
Tested conversion optimization tips to increase sales. Hands-on strategies that you can do yourself which include: usability, A/B testing, web analytics and advertising tools, sustained by software vendors’ case studies.
Similar to How to Run Smarter A/B Tests, Faster (20)
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.
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.
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.
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.
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 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
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.
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.
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.
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.
Financial curveballs sent many American families reeling in 2023. Household budgets were squeezed by rising interest rates, surging prices on everyday goods, and a stagnating housing market. Consumers were feeling strapped. That sentiment, however, appears to be waning. The question is, to what extent?
To take the pulse of consumers’ feelings about their financial well-being ahead of a highly anticipated election, ThinkNow conducted a nationally representative quantitative survey. The survey highlights consumers’ hopes and anxieties as we move into 2024. Let's unpack the key findings to gain insights about where we stand.
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 What, Why & How of 3D and AR in Digital Commerce
How to Run Smarter A/B Tests, Faster
1. How to Run Smarter A/B Tests, Faster
How to Run Smarter A/B Tests, Faster
@shanelle_mullin
We’ll cover…
1. How to conduct conversion research to find smarter A/B test ideas.
2. How to prioritize your A/B test ideas in a meaningful way.
3. What a high velocity testing program is and why it works.
4. Common high velocity testing program mistakes to avoid.
5. How to increase your testing velocity responsibly.
2. How to Run Smarter A/B Tests, Faster
“You don’t have generic problems, you
have specific problems.”
~Peep Laja
6. How to Run Smarter A/B Tests, Faster
1. Relevancy
Does the page’s content meet user expectation?
Does the page’s design meet user expectation?
How can it match what they expect / want even more?
7. How to Run Smarter A/B Tests, Faster
2. Clarity
Is the content on this page as clear as possible?
Is the value prop on this page as clear as possible?
How can we make it clearer?
8. How to Run Smarter A/B Tests, Faster
3. Motivation
What’s motivating the visitor to take action?
Is it clear, believable, timely and persuasive?
How can we increase motivation even more?
9. How to Run Smarter A/B Tests, Faster
4. Friction
What is causing doubts, hesitations and uncertainties?
What makes the process difficult?
How can we simplify the process?
10. How to Run Smarter A/B Tests, Faster
5. Distraction
What’s not helping the user take action?
What’s drawing attention?
Is everything that draws attention really necessary?
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13. How to Run Smarter A/B Tests, Faster
Cross-Browser Testing
Audience > Technology > Browser & OS
Switch from the default “Data” view to the “Comparison” view.
14. How to Run Smarter A/B Tests, Faster
Cross-Browser Testing
Always compare within the same browser family.
15. How to Run Smarter A/B Tests, Faster
Cross-Device Testing
Audience > Mobile > Devices
Switch from the default “Data” view to the “Comparison” view.
16.
17. How to Run Smarter A/B Tests, Faster
Speed Analysis
Page Load Time: Seconds until every element on the
page is done loading.
Page Interactive Time: Seconds until the site is usable.
18. How to Run Smarter A/B Tests, Faster
Speed Analysis
Your site loads in 3 seconds or less.
Your site loads in 4 to 7 seconds.
Your site loads in 7 to 10 seconds (or more).
19. How to Run Smarter A/B Tests, Faster
Speed Analysis
Behavior > Site Speed > Page Timings
Switch from the default “Data” view to the “Comparison” view.
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23. How to Run Smarter A/B Tests, Faster
Google Analytics Health Check
1. Are you collecting all of the data you need?
2. Can you trust the data you are collecting?
3. Is anything broken or tracking / reporting
incorrectly? Why?
24. How to Run Smarter A/B Tests, Faster
Common Google Analytics Mistakes
1. Pages are missing.
2. Data is different in the shopping cart tool.
3. Cross-domain tracking isn’t working.
25. How to Run Smarter A/B Tests, Faster
Full Health Check Guide
bit.ly/gahealthcheck
26. How to Run Smarter A/B Tests, Faster
Start with the Highest Value
1. High volume, low value pages.
2. Low volume, high value pages.
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28. How to Run Smarter A/B Tests, Faster
Finding Broken Links
29. How to Run Smarter A/B Tests, Faster
Finding Broken Links
30. How to Run Smarter A/B Tests, Faster
Auditing Your Funnel
The further down the funnel, the smaller the
necessary impact.
31. How to Run Smarter A/B Tests, Faster
Auditing Your Funnel
32. How to Run Smarter A/B Tests, Faster
Auditing Your Funnel
33. How to Run Smarter A/B Tests, Faster
Exploring Internal Search
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35. How to Run Smarter A/B Tests, Faster
Segmentation Is the Secret
bit.ly/gasegmentation
36. How to Run Smarter A/B Tests, Faster
Click Maps
1. This info is largely available in Google Analytics via
“Navigation Summary”.
2. See when people are clicking on non-links.
37. How to Run Smarter A/B Tests, Faster
Scroll Maps
1. Better prioritize your content and messaging.
2. Drastic colour changes mean a need for visual
cues… likely indicate false bottom.
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39. How to Run Smarter A/B Tests, Faster
Session Replays
1. Real users with real money.
2. Where do they pause? Where do they give up?
3. Use this to gather more insight on poor performers.
40. How to Run Smarter A/B Tests, Faster
Form Analytics
1. Which form fields cause the most error messages?
2. Which do people hesitate to fill?
3. Which do people leave empty, even if required?
41. How to Run Smarter A/B Tests, Faster
On-Site Surveys
Exit surveys.
On-page surveys.
42. How to Run Smarter A/B Tests, Faster
On-Site Survey Questions
1. What was the purpose of your visit to our site?
2. Were you able to complete your task?
3. If not, why?
4. Is there anything holding you back?
5. Do you have unanswered questions?
Focus on actionable data, on the friction.
43. How to Run Smarter A/B Tests, Faster
On-Site Survey Options
1 open-ended question.
Y/N and then an explanation post-answer.
44. How to Run Smarter A/B Tests, Faster
On-Site Survey Guide
bit.ly/onsitesurveys
45. How to Run Smarter A/B Tests, Faster
Customer Surveys
1. First time buyers.
2. No previous relationship with you.
3. Try for ~200 responses.
46. How to Run Smarter A/B Tests, Faster
Customer Survey Questions
1. Who are you?
2. What are you using this product for?
3. What problem does it solve for you?
4. What do you like about the product most?
5. Did you consider any alternatives?
6. Why did you choose us over the competition?
7. What’s the one thing that nearly stopped you from buying?
8. What was your biggest concern or fear about us?
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48. How to Run Smarter A/B Tests, Faster
User Testing Tasks
1. A specific task.
2. A broad task.
3. Funnel completion.
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51. How to Run Smarter A/B Tests, Faster
Constant Ideation
1. Continue conducting conversion research.
2. Involve the entire team.
3. Focus on the entire funnel (acquisition to referral).
52. How to Run Smarter A/B Tests, Faster
“If you come to me with an idea and it’s not
live in 2 weeks, it’s not because it’s a bad
idea. It’s because I have better things to test.”
~Pauline Marol
53. How to Run Smarter A/B Tests, Faster
The Prioritization Problem
1. Not objective enough.
2. Not data-driven enough.
3. Not easily customized.
55. How to Run Smarter A/B Tests, Faster
Benefits of PXL
1. Makes “potential” more objective.
2. Makes “ease” more objective.
3. Helps create a data-driven culture.
4. Easy to customize.
56. How to Run Smarter A/B Tests, Faster
Prioritization Spreadsheet
bit.ly/pxlmodel
57. How to Run Smarter A/B Tests, Faster
Better Management
1. Review KPIs.
2. Review tests launched (and not launched).
3. Review insights gained.
4. Choose tests for the upcoming week.
5. Discuss resources (or lack thereof).
58. How to Run Smarter A/B Tests, Faster
Archive (Or Live to Regret It)
1. Avoid repeating tests by mistake.
2. Easily communicate wins and insights.
3. Improve the quality of future tests.
4. Create an insights > wins culture.
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60. How to Run Smarter A/B Tests, Faster
High Velocity Mistakes
1. Without buy-in and a testing culture, you’re
doomed.
2. Calling it too soon and non-representative samples.
3. Letting quality and effectiveness slip.
61. How to Run Smarter A/B Tests, Faster
Testing Capacity
(52 / Avg. Req. Test Duration) x Number of Testable Pages
(52 / 2) x 10 = 260
62. How to Run Smarter A/B Tests, Faster
Measuring Velocity
1. How well are you trending towards achieving your
capacity?
2. Trends are what matters… are you getting closer?
3. Chart it.
63.
64. How to Run Smarter A/B Tests, Faster
How to Run Smarter A/B Tests, Faster
@shanelle_mullin
1. Conduct proper conversion research.
2. Come up with ideas constantly.
3. Prioritize with data.
4. Manage the process.
5. Archive your learnings.
6. Achieve your testing capacity.
7. Stop listening to CRO BS you read online.
65. How to Run Smarter A/B Tests, Faster
Resources
Optimization Training Program
bit.ly/cxlinstitute
Original UX Research
bit.ly/cxlresearch
66. How to Run Smarter A/B Tests, Faster
Questions?
Ask any time via email: shanelle@conversionxl.com
