The Conversion Impact Analysis tool in Lebesgue is designed to help you evaluate how product visibility and engagement impact conversions over different time periods. By analyzing how customers interact with your products—from viewing to purchasing—you can optimize pricing, marketing, and product positioning strategies to maximize sales.
What Does Conversion Impact Analysis Help You Understand?
This tool enables you to:
Identify high-potential products that have strong conversion rates but lack visibility.
Detect low-performing products and assess whether they need marketing or pricing adjustments.
Compare performance over different time periods to detect trends and opportunities.
Evaluate customer behavior at various funnel stages, from viewing a product to completing a purchase.
How to Use Conversion Impact Analysis
1. Selecting the Time Period
At the top of the page, you can select the time range you’d like to analyze. This allows you to:
Compare how product performance changes over time.
Identify seasonal trends or shifts in customer demand.
Understand whether recent changes in marketing, pricing, or stock availability have affected performance.
Tip: Use the Comparative Periods View to analyze differences between two selected time frames and determine whether product demand is increasing, declining, or remaining stable.
2. Choosing Metrics to Analyze
Lebesgue provides different conversion rate metrics to help you assess how effectively your products are converting. You can select one or multiple metrics to analyze:
Add to Cart / Views – Measures how often a product is added to cart after being viewed.
High ratio: The product is compelling but may need a final push to drive purchases.
Low ratio: Customers are seeing the product but not finding it attractive enough to add to cart.
Purchases / Views – Measures the percentage of people who view a product and then purchase it.
A high ratio indicates strong demand and effective product positioning.
A low ratio may indicate pricing issues, poor product images, or weak product descriptions.
Purchases / Add to Cart – Measures how often customers complete a purchase after adding a product to their cart.
A low ratio suggests high cart abandonment, which could be due to shipping costs, checkout friction, or lack of urgency.
Tip: If your Add to Cart / Views ratio is high but your Purchases / Add to Cart ratio is low, this means customers are interested but dropping off before completing their purchase. Consider optimizing your checkout process or adding urgency (e.g., limited-time discounts).
3. Understanding the Engagement and Conversion Graph
This scatter plot provides a visual representation of product performance based on customer interactions.
X-axis: Displays either Views or Add to Carts, depending on the selected metric.
Y-axis: Shows either Add to Carts or Purchases, based on the metric being analyzed.
The relationship between these variables helps identify product trends, such as high-visibility items with low conversions or hidden opportunities that may benefit from increased exposure.
Lebesgue classifies products into three main categories:
Best Sellers (Blue Dots):
High visibility and strong conversions.
These are your top-performing products—continue marketing them effectively.
High Potential (Yellow Dots):
Low visibility but high conversions.
These products have strong demand but may need more exposure (e.g., better positioning on your website, more advertising budget).
Low Performing (Pink Dots):
Low visibility and low conversions.
These products may need a pricing adjustment, improved images, or better descriptions.
Other Products (Gray Dots):
These represent the remaining products in your catalog, which fall outside the key categories above.
They provide a neutral reference, allowing you to compare them against better or worse-performing products.
Tip: Click on individual dots to see product-specific details and identify actionable insights.
4. Using the 360° Product Analytics Chart
The 360° Product Analytics visualization provides a comprehensive breakdown of product performance across four key metrics:
Views – How many times a product was seen.
Add to Cart – How often a product was added to cart.
Purchases – How many purchases were made.
Retention Rate – How often customers return to repurchase this product.
This graph is especially useful for understanding how a product moves through the purchase funnel.
Tip: If a product has high views but low purchases, you might need to:
Improve its pricing.
Enhance the product description and images.
Offer a limited-time discount to encourage purchases.
5. Comparative Periods View – Track Performance Over Time
The Comparative Periods View allows you to compare product performance across two different time frames.
How it helps:
Understand whether your recent marketing campaigns have improved conversions.
Identify seasonal trends (e.g., are sales for a product increasing due to a holiday season?).
Measure whether recent product price changes have positively or negatively impacted conversions.
This feature is especially useful when launching new pricing strategies or testing different product promotions.
Tip: If a product's performance declines over time, check whether:
Competitors have lowered their prices.
Your advertising budget has decreased.
Customer interest in that product is shifting toward another trending item.
6. Reviewing the Product Performance Table
At the bottom of the page, you’ll find a detailed product performance table, which provides a comprehensive breakdown of key product metrics to help you analyze performance and identify areas for improvement. The table includes:
Views – The total number of times a specific item was viewed.
Add to Cart – The total quantity of individual units added to the cart in each add-to-cart event. Note: Since one event can include multiple units, this number may be higher than the Add to Cart metric in the Business Dashboard.
Purchases – The total number of units purchased for a specific item. Note: This metric counts the quantity of items bought, not the number of orders—so it may be higher than the Shop Orders metric in the Business Report since a single order can contain multiple items.
Add to Cart/Views Rate – The percentage of product views that resulted in an add-to-cart action.
Purchases/Views Rate – The percentage of product views that led to a completed purchase.
Purchases/Add to Cart Rate – The percentage of add-to-cart events that resulted in a purchase.
Retention Rate – A measure of how frequently customers return to purchase the same product over time.
This table allows you to quickly identify underperforming products that may need adjustments in pricing, promotion, or visibility strategies.
Tip: Sort the table by conversion rate to easily spot products that receive high visibility but fail to generate sales, helping you make data-driven decisions to optimize your product lineup.
Why Should You Use Conversion Impact Analysis?
Increase revenue – Identify your best-selling and high-potential products to maximize conversions.
Optimize marketing spend – Focus advertising efforts on products that have high potential but need more visibility.
Improve pricing strategies – Detect price sensitivity and test adjustments to increase sales.
Enhance product positioning – Ensure the right products are featured in the right places on your website and ads.
By leveraging these insights, you can make data-driven decisions that will have a direct impact on your store’s success.
Need Help?
If you’re unsure how to interpret the data or optimize your strategy, feel free to reach out:
Chat with Us: Use the chat icon in the app or on our website for support.
Schedule a Call: Get a personalized consultation with our Customer Success team:
Tony, Customer Success Lead: Book a Call
Paula, Customer Success & Support Manager: Book a Call
We’re here to help you make the most of your data.
You might find the following articles relevant:
How Do I Utilize The Stock Inventory Feature?
How Are My Next Steps Determined?
Explaining Analytics
Explaining Benchmarks & Forecast