In short
Podcast Episode Summary - Marketing School
Overview Podcast Title Marketing School - Digital Marketing and Online Marketing Tips
Episode Title How to Find and Fix the Pain Points in Your Conversion Flow Even If You Don’t Have Traditional Metrics with Ravi Theja Yada
Description In this episode, Ravi Theja Yada discusses the advantages of behavioral analytics over traditional metrics for understanding consumer behavior, particularly in the context of optimizing conversion flows. The insights are shared from the Leveling Up Founders' event.
Key Themes and Concepts
- Behavioral Analytics vs. Traditional Metrics
- Definition of Behavioral Analytics: Focuses on visualizing and understanding the customer journey and intent behind actions.
- Limitations of Traditional Metrics: Often not actionable and lack immediate insights.
- Example: A/B testing at Microsoft Bing revealed confusion over data interpretation, leading to the development of Microsoft Clarity.
- The Role of Microsoft Clarity
- Purpose: Designed to help businesses understand their users and improve products.
- Key Features:
- Session replays: View user navigation on a website.
- Heat maps: Show where users are clicking and scrolling.
- Introduction of Copilot: Summarizes session recordings and provides data insights in a user-friendly manner.
- Understanding Conversion Flow Pain Points
- Identifying Conversion Lag: Pinpoint where users drop off in the conversion flow.
- Case Studies:
- Travel Boom: Moved a call to action (CTA) button, resulting in a 30% increase in conversions.
- Pearly (Bubble Tea): Added a GIF showing product usage, leading to a 35% increase in conversions.
- ProProfs: Simplified their sign-up process, achieving a 27% increase in monthly sign-ups.
- Practical Examples of Behavioral Insights
- Hello Prenup: Used behavioral analytics to identify user confusion on a complex topic, resulting in a 32% increase in monthly revenue by simplifying content and user experience.
- Rage Clicks: Highlighted as a critical behavioral metric that indicates user frustration and potential usability issues (e.g., input padding issues on Bing).
Key Takeaways
- Empowerment Through Data: Everyone in a company can leverage behavioral analytics to enhance user experience, from designers to interns.
- Simple Adjustments Can Yield Big Results: Often, small changes based on user behavior insights can lead to significant increases in conversions.
- Continuous Improvement: The importance of observing and understanding user interactions to refine marketing strategies and product usability.
Conclusion This episode emphasizes the transformative power of behavioral analytics in marketing, advocating for businesses to adopt such methodologies to enhance conversion rates and customer satisfaction. By focusing on user behavior, companies can make informed decisions that lead to tangible improvements in their conversion flows.
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For additional insights and daily actionable lessons, explore more at [Marketing School](https://www.marketingschool.io).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Hey guys, Eric Su here. So the following is a clip from the Leveling Up Founders Mastermind that happened in Beverly Hills. and you're going to hear from some amazing founders, some amazing marketers and investors. And this was a private event that happened. So again, you'll get a preview of it. If you want to learn more, you can go to levelingup.com slash founders. Once again, levelingup.com slash founders. And without further ado, enjoy the clip. Compared to like traditional traffic analytics or product analytics is that behavioral analytics trying to help you visualize and understand your customer's journey, customer's intent behind the actions that they do, their journey across your product.
0:38And this is a problem we faced in Microsoft. Working on search in Microsoft Bing, we would run AB experiments, trying to figure out what was resonating with users, what wasn't. And we would get AB scorecards that were up and down, and we didn't really understand why. And then we had these amazing product managers that weave awesome stories and convince the rest of people this is why we should ship it. So we felt like we were being misled or not driving with data. So that's why we ended up building a product that we call Microsoft Clarity. And Microsoft Clarity initially, as it started as an internal skunkworks project, later turned into an external product.
1:18And what's Microsoft Clarity's goal is to help you build better products by helping you understand your users. And it has a core set of functionalities. First, if you've never used any sort of analytics products, this is going to be something new to you. But first, I think Neil already started the survey that I was going to do, which is how many people use Google Analytics and look at it daily, and I saw only about half. But how many people use any sort of behavioral analytics on their products or apps? Okay, a few. Assuming none of you probably use Clarity. Yes, perfect. My money is spent because my goal is to convince you all to use this.
1:56And the reason for it is the second reason that Neil actually made my point for me, which is a lot of these analytics products, they're not actionable. That's the reason you're not going into Google Analytics every day is because there's nothing immediate you can do with it. No quick insight you can gather from it. And that's where clarity changes the game. One, it has these session replays where you can actually watch how a user navigated across your website, application, or app. It can aggregate this data across users and generate heat maps of where users are clicking, where they're not, how far they're scrolling, and then finally find you insightful metrics that are focused on user behavior, like rage clicks, dead clicks, and we'll talk about those in a second.
2:38But the last part is helping you make sense of this data in a meaningful way, because I know all of you do not have the time to spend time looking at recordings or heat maps all day, and that's where we introduced Copilot and Clarity. And I don't know if you guys heard of that term recently, but Microsoft's been pretty big about Copilot. So we introduced Copilot in Clarity, where now it's able to summarize a session recording. No matter if it's 10 seconds or four hours long, you get quick bullet points of what's happening in the sessions. And another feature we're about to release, and you guys are the first ones to see a video demo of it, is a chat experience within Clarity, where now you can actually don't need to deal with the data, the graphs, all of that.
3:20Ask it questions that you want to answer. and it pulls up based on your data. And this really empowers anyone in your company, anyone in your business, to be able to ask the relevant questions, whether you're a designer, product manager, developer, intern, doesn't matter. You ask the right questions, it gives you the answers. But let's talk about how companies have actually been using a product like this to improve their business. And I'll start with simple examples to more complex, but the first one is understanding visibility of your product and your key call to actions. So this is a case study with a company called Travel Boom.
3:56They manage the Myrtle Beach Golf Trips website. I don't know how many people use this, but some of you might have. And they found that looking at the scroll heat map, this is showing how far people actually scroll on their particular website, less than 50 % were actually seeing their main call to action, how they make money by clicking on the Shop Now button. And that's because when an average page loads on a person's monitor, the Shop Now button's below, and they have to scroll down to actually see it. So not rocket science. All they did was move that button up, and they saw immediately 30 % increase in conversions.
4:30Very simple. Second, Bubble Tea. Pearly is a bubble tea company where they sell bubble tea kits, and they started in the pandemic, so everything was online. And they looked at the click heat map to understand where people were clicking, and they saw more people were actually clicking on the learn more button than the add to cart button on their pages. And they didn't understand why. So they actually went and looked at session recordings of users after they clicked to learn more. What were they doing next? Why didn't they just click add to cart? And they found that majority of these people were scrolling down to see how to use this kit because the product itself was new and they didn't know, is this a very complicated product to build or is it very simple?
5:13And after they learned that, they built a simple GIF about how to use their product, put it on their landing page, before they asked people to add it to their cart, and they saw 35 % increase in conversions. Another example is in your sign-up flow, right? This is one of the big areas people get a lot of drop-offs, and you spend all this time driving users to your landing pages, to your websites, and then trying to convince them to sign up or buy your product, and you see a lot of drop-offs. And that's what ProProfs was seeing as well. And they were analyzing their full end-to-end funnel, and they saw the biggest drop-off in their funnel was at sign-up.
5:53So again, they looked at Clarity Session Recording to understand what was causing these drop-offs. Where are people getting stuck? And they found that some of the content they had on the sign-up page wasn't obvious. For example, I know the screenshot's a little small, but they have a way for you to sign up with a Google account or a Facebook account. But it's not the main thing. It looks part of the header. You tend to ignore it and go straight to filling out your content. And then people start abandoning it because if something happened or some bug in their code or they got distracted. So they did something very counterintuitive but simple, which is they broke up their signup page into three separate pages.
6:30And that actually yielded in 27 % increase in monthly signups and 70 % increase in end-to-end conversions across their funnel. And that's huge. And this is simple change that they were able to use data-driven knowledge to make changes to their site. Another example, one of my favorites, is Hello Prenup. I don't know how many of you watch Shark Tank, but this was on Shark Tank. And their whole goal is to help couples that are about to get married write a prenup without getting a lawyer involved. So not the sexiest product or not the easiest conversation to have with your potential partner. but it's an important need for anyone.
7:11But their main challenge was, this is a complicated topic, let alone for anyone that's not savvy in legal terms or anything, this is very difficult. And so they wanted to understand what were the pain points customers were facing on their website as they're going through building a prenup. And how do they figure out how to make their product simpler? So again, they looked at clarity data on their site and they found issues with, for example, user experiences, where they had disconnects between how they designed the site to where people should fill out information versus where people thought they need to enter information.
7:47And this looks very obvious when you look at it now, but customers are actually getting confused, and you have video evidence to show that. Then the second thing, and this is something for all the content people in the room, is the actual content that they wrote to explain how to do some of this. So what they saw was you can see here that you can see a person's mouse moving over the text. And this is actually a common way people read content on a website. Actually, I found three or four different ways. The first is people actually highlight text as they're reading content on a page. Second, they move their mouse like this.
8:23Third, they park their mouse and see. Or the fourth, which is me, which is they just look at pictures. But clearly this person is the second where they're like following along. And they found cases where people were moving their mouse over the same region over and over. And it's because that text was too complicated. They needed a way to simplify it so that people can understand what to do next. So they made all these little changes in their site that increased their monthly revenue, month over month, by 32%. So these aren't rocket science problems. You just got to know where to look. You got to look at your own product, go into your experience, and see what other people are experiencing.
8:59Right? You don't want to take that same mistake. of, assuming what makes sense for you makes sense for your customer. And this is not something just startups face, but even big companies like Bing, right? We had this issue on Bing. And how we found this issue was with this concept of rage clicks. So I don't know how many people are familiar with rage clicks, but let's say you ever submitted a form online and you click submit. It didn't work. So you click it again. Didn't work. So you angrily click it now. That's rage clicks. You've all faced this, I'm sure. And we can detect that. And we were seeing rage clicks on the search input box on Bing.
9:38And we're like, what? And we looked at a couple of the recordings, and we see that people were trying to reformulate their query. They wanted to delete that text or add to it, and they weren't able to. Why was that? It was a simple issue. There was a simple padding issue. Where you could enter was, I don't know, 30 pixels off than it should be. and that was it. And we would have never found this with traditional metrics, right? We're like, oh yeah, a lot of people are interested in clicking on the search box. Great, we're doing our job well. But when you try to define it with behavioral metrics in mind like rage clicks, you notice what's actually happening.
10:16So, you know, not rocket science again. We made a simple change to move that padding and this drove huge amounts of satisfaction for our customers, improved our query reformulation, even improve some revenue for us. So again, this is faced by everyone in the industry.

