Many optimizers are good at using data to craft hypotheses. Great optimizers, however, build data-driven segments, analyze by business goals (not just test KPIs), and importantly, propose how to take action on campaign results.
Creating a customer journey map can help stakeholders better understand the customer’s experience, and helps ensure that all stakeholders are working towards the same goal. It can also help identify potential areas of improvement, and provide insights into how customers interact with your product, service, or organization.
If you change jobs quickly, will employers think you’re a job-hopper? Tracy shares her opinion.
Teams are horrible at this! They have no idea it should happen, and if they do, they’re usually lost and the approach is terrible. When you break it down, it’s really not difficult. This shouldn’t be a black box anymore.
During Experiment Nation’s recent conference, Rishi Rawat shared during his award-winning session why we should focus on Skeptical First-time Buyers.
Creating a Learning agenda doesn’t have to be complicated. Loblaw Digital’s Rommil Santiago shares how you can create one – in under 5 minutes.
Here are the best sessions and speakers of our most recent conference!
Curiosity needs to be a driver in every experimenter’s toolkit. What is going on in the head of my customer? What is really their job-to-be-done? When buying flowers, we typically think of the standard occasions: Mother’s Day, Valentine’s Day, new baby & sympathy. But if we were to structure our ecommerce website on those occasions alone, we may be addressing the majority, but we’d be missing out on the real motivation behind the purchase as well as other reasons people buy flowers.
Noémie Sauvage shares her industry knowledge about optimization in Europe. Check it out!
Optimization and Pizza Making are the same and Simon will help you understand how and why it is beneficial to let your dough prove for longer.
A/B Testing can be intimidating to the uninitiated, but it doesn’t have to be! I want to introduce testing concepts via a real-world scenario that we can all relate to: Dessert. I’ll cover what an MVT is, hypotheses, independent variables, dependent variables, results (of course), and design flaws. And if you need any more convincing, I have four words for you: Monte Cristo Bread Pudding.
You can do better than testing button colors, but how do you decide what to test when and what type of test to run? Roadmapping. This session teaches you to be the GPS navigator, helping your team optimize experimentation routes. On this journey you will identify how each path can drive desired impacts by turning a formidable trek into a series of attainable milestones.
Tracy is a Toronto-based growth marketer with a knack for conversion optimization. In a past life she’s QA tested “adult” eBooks and helped make it easier for Canadians to write their wills online. Tracy is also one of the co-hosts of the Experiment Nation podcast where she chats with optimizers at the top of their game.
Beyond the 9-5, you can catch her knitting, crushing empires in Civ6, or napping with her cats.
Anil is a Digital Marketing and Analytics professional with 18+ years of experience. He has worked with companies ranging from startups to Fortune 500 and has helped them improve marketing results as well as develop data driven culture. He has vast experience in Web, Email, Social, Display, Search, Paid Search, and CRM. He holds a B. Tech in Electronics and Communication Engineering from India and an MBA from the University of Washington, Seattle. He is the founder of https://academy.optizent.com – A Digital Analytics training and education company.
When experimenting with our products, we need to find our users but it’s not always that simple! Where do we find the users? In this session Moshe will go over different types of products and different ways to find users for each of them. Coming out of this session, attendees will have some ideas on where to start looking for their users.
This presentation provides a quick overview of Chi-square analysis and a discussion of its use cases in marketing experimentation.
Watch the full video.
In this session, Tasin Reza will be covering the areas where the companies can reduce their costs of experimentation, things that they will need to consider to increase their profitability.
What’s the best time to send an email? A lot of research and data analysis has gone in to answering this question. But yet, there’s no clear, definitive answer. In attempt to resolve this question once-and-for-all, this session will present and interesting and surprising answer.
Taz talks about the challenges around Experimentation that no one talks about.
This session is about the conundrum that “data is everything” – a mentality circulating at large the past couple years. There’s so much data, and we often find ourselves simply staring at metrics looking for “+” or “-” to make decisions. The objective of this session is to draw on thinking strategies from physics, of how to approach CRO differently, without any real “data”, to then gleam positive impacts to CRO.
The success of your testing program depends on the quality of your hypotheses. But too many experimentation programs lack the processes and frameworks to move from spaghetti testing to strategic experimentation. Haley shares two practical frameworks to help you form better hypotheses and objectively rank test ideas.
Aditi Gupta covers the creation of a growth roadmap/ how to build alignment with stakeholders/ creating an org-wide impact.
Too often experiments are squandered. But if you put customer problems first and design the right type of test you can ensure every experiment is valuable to your business. The following talk will give your experimentation programs guardrails to make sure you’re not testing for testing sake.
Everybody is doing it, so you have to do it too, right? As my mom used to say: you’re not everyone! Best practices are not experimentation and you should know that. I want to prove to you this is the easy way, but it’s not the right way for a healthy, profitable and experiment-oriented business. These tactics don’t last long. In this session, we will discuss why, statically, best practices don’t work. It’s fun to know about the competitors, their results and ideas. It may generate new ideas and grab your attention when you’re starting to experiment, but that’s the only good thing. To have a great experiment culture, you need to learn from your tests. Let’s talk more about this?
CRO should be the foundation that all of your other digital marketing efforts rests upon. Through what we call our ‘Ripple Benefits’, I’d love to showcase just how CRO not only improves your conversion rates, but your SEO, Content Marketing, Paid Ads, and more. Testing is key and should be the foundation that drives where your efforts are focused.
AKA Why you should approach research like an Anthropologist How ethnographic research helps you understand *why* people think the way they think (not just *what* they think or how they respond to triggers) to create more meaningful hypotheses and experiments.
Experimentation post-conversion or how to switch from buying journey to customer journey.
A quick and dirty guide to pointing out bad practices that create friction to the customer when brands practice the company journey instead of the customer journey.
Our industry is focused on the individual elements of what we do and how we do it, but not why we do it and the overall philosophy for it. This is part of the reason that businesses don’t give it the traction it deserves; senior business leaders are not interested in the execution, they’re interested in the overall benefit.
Strategies are not made every day, improvements are with Siddhartha Kathpalia
Global experimentation: Problem-solving at scale with Melanie Kyrklund
In his presentation, Ruben will discuss the importance of change management guided by an understandable model that you can start using today.
How to use data to find hidden insights about customers & opportunities for optimization with Sina Fak
Shiva will run through WHY you want to be running an experimentation program based on insight generation and not simply ‘winning’. He’ll also show you how to structure tests to support the growth of an insight-driven experimentation program.
In this session, Ayat Shukairy will share the lessons learned by analyzing over 22,000 AB tests on 700 CRO projects. These lessons paint the common patterns that helped us deliver upwards of 50% success rates on AB testing programs.
In this session – recommended for women in experimentation and those working with them – Bithika will help identify blind spots and hopes to help women and teams reach their true potential.
Video and Podcast available now!