Use Cases of the Month

Every month, DataMa publishes a practical use case from a real client, to get others inspired and share knowledge and learnings

💡 Use Case of the Month #7 - Conversion Funnel Monitoring

The continuous performance and quality of an e-commerce website plays a vital role in driving sales for any brand. However, performing analyses and fixing errors can be a time-consuming task ⏰. In this month’s use case, find out how the well-known fashion brand Lacoste🐊 was able to leverage multiple DataMa solutions to:

• ⏳ Implement time-saving use cases that automatically deliver key insights and smart analyses to stakeholders every week
• 🚨 Proactively detect anomalies in KPIs affecting site performance for early intervention
• 🌱 Take advantage of DataMa’s customer success services to effectively utilize the product and plan for scaling across additional use cases

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💡 Use Case of the Month #6 - Actual vs. Funnel A/B Testing Analysis

Generating leads is essential for the growth of most businesses, but it can be challenging to determine if improvements are actually having a positive impact on conversion 🤔. In this month’s use case, discover how one of our clients was able to leverage a suite of DataMa’s solutions to:

• 🧪 Quickly determine the most effective version of their funnel to optimize their conversion rate.
• ✅ Validate the significance and confirm the random distribution of their A/B tests
• 🚀 Enhance their analysis by easily visualizing customer behavior with waterfall and customer journey graphs

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💡 Use Case of the Month #5 - Actual vs. Forecasted

Defining, monitoring, and forecasting KPIs can be complex, especially when trying to determine the cause of gaps between actual and forecasted results 🤨. In this month’s use case, find out how a major web C2C marketplace, Click & Boat used DataMa to:

• 📈 Model complex mix effects and changes in their customer service efforts to get clear results on financial impacts
• 🧩 Seamlessly integrate DataMa into their existing tech stack, including Snowflake and Tableau
• 🎯 Focus on key initiatives by identifying the cause of discrepancies between forecasted and actual data

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💡 Use Case of the Month #4 - Logistic Cost analysis

DataMa’s dynamic waterfall visualization excels at breaking down classic market equations to give you quick and smart insights 🤓 But did you know DataMa’s customizable features allow you to analyze more complex and unique cases? 🤯 Read this month’s use case to find out how a major fashion retailer, Techstyle used Datama’s Tableau extension to:

• 💰 Break down their YoY costs and identify the factors responsible for any increases
• ⚙️ Create market equations to address a unique business question, including color and display customizations
• 📊 Easily integrate DataMa into their data viz tool of choice

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💡 Use Case of the Month #3 - Occupancy impact on Conversion

One of the last things you want to see is your conversion rate dropping 😱. But when it happens, identifying the cause of the drop is the first step to getting conversion back on track and preventing future declines 📉. In this month’s use case, find out how a major hospitality player used DataMa to investigate the cause of their falling conversion rate while seeing increased traffic and average booking value. You can leverage these same methods to:

• 🧮 Break down conversion rate in your market equation to examine contributing factors, such as occupancy rate
• 🔧 Easily pivot or unpivot your dataset directly in DataMa, eliminating the need for external data prep
• 🤔Understand mix effects on multiple dimensions that may affect conversion

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💡 Use Case of the Month #2 - GA3 vs. GA4 gap analysis

The full transition to Google Analytics 4 is just around the corner 👀. It is essential to prepare for your data migration to ensure a seamless transition while maintaining reliable metrics for your main KPIs 🚀. In this month’s use case, we highlight one of our clients who used DataMa to enhance their GA4 migration process. By adopting some of their methods, you can learn to:

• 🔍 Detect discrepancies in main KPIs between GA3 and GA4 and discover what is driving them
• 🏗️ Easily import, prep, and visualize data from both GA3 and GA4 in one tool
• ⚡ Address sources of inconsistency and automate monitoring and alerting, saving time on analysis

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💡 Use Case of the Month #1 - Paid acquisition WoW analysis

Paid media campaigns are a huge contributor to user acquisition. But what is the best way to determine if your campaigns are effective? 🤔 In this month’s use case, find out how one of the largest energy providers in France, TotalEnergies leveraged their data through DataMa to:

• 📈 Analyze their WoW performance
• 🔍 Detect underperforming campaigns
• 🛠️ Implement automated processes to spot outliers as soon as they occur

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