Hussle, an online marketplace for gyms and spas, faced several challenges in understanding user behavior and improving their product. Luke, the Product Lead at Hussle, was tasked with identifying and resolving issues that led to user churn, spotting bugs, and ensuring smooth launches of new features. The primary challenges included understanding why users were leaving the platform, identifying issues with new features, spotting broken user flows, and discovering bugs. The team needed to capture reliable feedback from users as they were leaving, which was a difficult task. Additionally, they needed to understand user interactions with new features and identify any issues that could hinder the user experience.

Brand24, a popular social listening platform, was facing a significant challenge with its conversion rates. The company's CEO, Mike Sadowski, noticed that the conversion rates were considerably lower than the industry standard. The primary issue was a high bounce rate on the sign-up form for Brand24’s free trial. The bounce rate was much larger than anticipated, indicating a leaky funnel. Two main culprits were identified as causing the high bounce rate. Firstly, a promo code field was confusing users, leading to a high abandonment rate. Secondly, the sign-up form had too many distractions, causing users to click around chaotically, visiting the blog, looking into pricing again, and hovering over links.

Spotahome, an online platform for mid- to long-term rentals, was facing a challenge in understanding their users and website visitors. The Customer Knowledge Manager, Sara Parcero-Leites, was tasked with ensuring the site was running smoothly and identifying opportunities for improvement. However, the team was not utilizing Hotjar, a behavior analytics tool, to its full potential. The tool was only being used superficially, with a few people looking at some recordings and heatmaps, but not conducting a lot of analysis. This lack of deep analysis was a missed opportunity for Spotahome to gain valuable insights about their users' behavior and improve their platform accordingly.

John Gilmore, the Sales Operations Manager at ClassHero, a startup, was tasked with identifying opportunities for product improvement and ensuring conversions were happening as expected. However, he noticed a significant drop in the onboarding rates on the site, from 75% to 39%, a 48% drop. This was a major concern as users who didn't complete onboarding in their first session rarely returned to the app. The drop in conversions was alarming, and the cause was unknown due to recent product changes. John needed to identify the problem quickly to prevent further loss in sales. He turned to Hotjar, a tool he had installed a few months earlier, to analyze session recordings and identify the issue.

Materials Market, a UK-based online platform connecting construction material suppliers with customers, was facing a significant challenge with their website's conversion rate. Despite the company's rapid growth and impressive sales figures, the site's conversion rate was a mere 0.5%. Andrew, the Operations Director, identified three key areas of concern through Hotjar, a user interaction tracking tool. These included a confusing call to action (CTA), issues in the checkout flow leading to higher than expected drop-offs, and a problematic cookie policy causing visitors to bounce. The CTAs were obscured on mobile and confusing on desktop, and the checkout process was cumbersome and lengthy, causing one in every four visitors to abandon their purchase. The cookie policy was also causing confusion among users, leading to a high bounce rate.

NerdCow, a premium web design agency, was faced with the challenge of improving conversions on a client's ecommerce site, The Transport Library. The Transport Library, a large online shop selling images of rail and bus photos, was struggling with low sales despite its extensive product database of over 140,000 items. The main issues identified were a complicated search bar, difficulty in finding new products, and users not completing their purchases. The search bar was particularly challenging for the site's user base, primarily aged 55 to 65+ and not tech-savvy, due to its multiple fields with filters and joining statements. Users were also spending hours scrolling through the site's product database without clicking into any actual products, indicating a struggle to find new items. Lastly, despite adding products to their carts, users were not finalizing their purchases.

The Good, a leading Conversion Rate Optimization (CRO) agency, was tasked with improving the conversion rates for Swiss Gear, a company selling a variety of goods including high-quality backpacks, luggage, travel accessories, and watches. Swiss Gear's website had been producing strong sales numbers, particularly during the holiday season. However, the company wanted to maintain these sales numbers year-round and convert existing traffic into buyers at a higher rate. The challenge was to identify areas for improvement on the website to enhance the user experience and increase conversions. The Good needed to understand the users' needs and behaviors on the website, without letting their own biases and knowledge guide their decisions on what to test.

Intertop, a well-established shoe retailer in Ukraine with 114 stores in 25 cities and an online operation that attracts 3.5 million monthly visits, was facing challenges with its ecommerce model. Despite its high growth and rapidly increasing traffic, the company was struggling to simplify the customer journey on its website, increase conversion rates, speed up the introduction of user experience changes, and mitigate risks of damaging the site experience. To address these issues, Intertop engaged CRO and UX agency Turum-burum. The agency initiated their Conversion Rate Optimization program based on step-by-step interface enhancements, a model they call ESR: Evolutionary Site Redesign. The goal was to anchor all proposed website changes on analytical proof and confirm them through A/B testing, a proven way of minimizing risk of rolling out changes that impact the shopping experience.

Vimcar, Germany’s leading fleet management software, was experiencing rapid growth and needed to rebrand their regional websites for Germany and the UK to keep up with their expanding product and feature list. However, they were concerned that the changes might disrupt their funnels, leading to a temporary reduction in page views, leads, and sales. The site’s heavy focus on product and features was suspected to be making it harder for users to book a demo and get started. The team wanted to make the experience more customer-centric but needed hard data to identify what elements to change. The slow pace of traffic from its B2B customers made A/B testing a slow process, taking up to three months to gather enough data to act. They needed solutions in place right away.

Gavin, the founder of Yatter, a lead generation agency, faced several challenges in improving the conversion rates of various websites. One of the main issues was with his personal site, myfunnelacademy.com, where after switching from Clickfunnels to WordPress for more flexibility, the conversions dropped significantly. Another challenge was with an ecommerce store for car parts. Despite the Facebook ads for the store generating a 5x ROI, Gavin suspected the landing page was not fully optimized. He also worked on a stem cell therapy website, where despite having high-value visitors, the conversion rate was low. Lastly, he faced a challenge with a personal training and nutrition planning website, faultlessfitness.com, where too many options were causing choice paralysis.

Steffen Quistgaard, a Senior Marketing Specialist at re:member, a trademark of Entercard, one of Scandinavia’s leading credit market companies, noticed an unusual increase in users bouncing off re:member’s credit card application form. Despite having traditional analytics tools like Google Analytics and their custom data warehouse, these tools were not providing a complete picture of the user journey. The main challenge was that these tools could not visually show what went wrong. The issue was particularly noticeable with traffic arriving from affiliates, which are sites that compare different types of credit cards. Despite being a significant traffic source for re:member, the high bounce rate from these users was a concern. Google Analytics could show what was happening on re:member’s application form, but it couldn’t explain why affiliate traffic was bouncing.