Before starting any performance analysis in an e‑commerce, it is essential to have clear objectives. A well‑directed analysis allows you to make strategic decisions based on data, optimizing both profitability and user experience. Objectives may vary depending on the business situation, but how can they be defined?
Where your catalog is failing and how to detect it
In every product catalog there is one reality: not all products perform equally. Some are true champions, generating most of the sales, while others barely leave a trace in the results. Understanding which parts of the catalog require attention is the first step.
Before making decisions and in order to draw up an effective product catalog strategy, you need to ask yourself some questions to carry out a performance analysis that offers valuable conclusions:
- What percentage of products are actually selling? Our experience indicates that in large catalogs 5–10 % of products can generate up to 80–90 % of sales. (Yes, the classic Pareto Principle applies here too.)
- Do you have products with traffic but no conversions? This could indicate issues with pricing, the product page, or even the purchasing experience. Engagement without sales is a clear sign of friction.
- Are there products with hidden potential? Some products may be well positioned in SEO or get good engagement on the site, but still fail to convert into sales.
- Which products generate the most returns? A high return rate may indicate confusing descriptions, quality issues, or a misaligned value proposition.
The key is to classify and segment those products. With tools like Boostic.cloud, this analysis ceases to be manual and becomes an automatic, scalable, data‑driven action. Thanks to its performance‑cluster system, you can understand in seconds where the opportunities and risks lie, even in catalogs of thousands of products.
Evaluate the real impact of marketing strategies at the SEO and SEM level
Product quality alone is not enough if no one sees it… or if the wrong audience sees it. In e‑commerce, success also depends on visibility, built through finely‑tuned marketing strategies. To know what works and what doesn’t, you need to measure the impact of both organic traffic (SEO) and paid advertising (SEM).
From analysis to action
A catalog optimized not only boosts conversion but also becomes a key lever to improve the overall profitability of the e‑commerce. The key is to leave behind intuitive decisions and move toward data‑driven management, which allows acting precisely on each product. Based on a detailed analysis of SEO, SEM, interaction, and sales metrics, it is possible to define concrete strategies such as:
- Reducing advertising costs. Identify products that consume too much budget without delivering results, and redirect investment to those with higher ROI potential.
- Price adjustments and effective promotions. Spot products with high visits but low conversion, and apply strategies such as targeted discounts or bundles to jump-start sales.
- Product page optimization. Improve titles, descriptions, images, and calls to action on products with good engagement but low commercial performance.
- Stock management. Decide strategically which products to keep in the catalog and which to discontinue, based on real data rather than intuition.
Boostic.cloud facilitates this process, not only automating analysis and enabling scalable improvements (even in catalogs with thousands of items) but also integrating automatically with Google Merchant and Meta Ads through complementary feeds. It enriches product data with performance-based tags (clusters). These tags can be used to segment and prioritize campaigns and ads, enabling the creation of campaigns that include only groups of products with specific performance characteristics (champions, conversion opportunities, etc.) or that exclude products with other traits (inactive products, low conversion, etc.). All this is automated by Boostic.cloud, which updates each product’s performance tag automatically and moves products in or out of campaigns or ads based on prior performance..
SEO analysis
Organic traffic is key for the long-term sustainability and profitability of an e‑commerce. It’s not enough to appear on Google: you need to convert. Here are some essential questions to audit your product-level SEO strategy:
- Which products are ranking well in search engines? Quickly detect products capturing organic traffic, those with issues, and those (brands, categories, and individual products) that represent an opportunity to work via SEO tactics.
- Do you have products with high impressions in Google Search Console but few clicks? Review their titles, descriptions, or even images—clicks start long before the cart.
- Which categories or brands attract the most organic traffic? This lets you prioritize content and technical SEO efforts where there is real potential.
- Are top-ranking products in SEO actually converting? If not, it’s time to review pricing, product page, or user experience.
With Boostic.cloud you can automatically cross these metrics with interaction and conversion data to have a 360° view of organic performance and make decisions with surgical precision.
SEM analysis
Search and marketplace advertising campaigns can become a black hole and consume a significant part of the budget without positive return. What aspects should be considered to start seeing results?
- Which products are consuming the most budget? Determine if that investment is generating real sales or just inflating cost. Which products are “champions” that sell well and, although spending a lot, still leave a healthy margin?
- What is the ROAS (Return on Ad Spend) by product or category? This metric is vital for redistributing budget toward products that really perform.
- Do you have products with high CPC but low CTR? This likely indicates issues in targeting, ads, or keywords.
- Are you investing in the right products in campaigns? It makes no sense to invest in low-margin, low-conversion, or strategically weak products.
SEM campaign automation
Boostic.cloud transforms your online catalog management by seamlessly connecting with platforms like Google Ads, Google Merchant, and Meta. Forget tedious manual segmentation: this powerful tool analyzes your catalog, applies key metrics to each product, and automatically classifies them into clusters and subclusters based on performance.
The result? A categorized product list where you can clearly identify top performers and those with optimization potential. Goodbye manual work. With Boostic.cloud product segmentation and tagging become automatic. Each product is evaluated and, based on performance, classified into a cluster and subcluster for more detail. Finally, a tag with all that information is added to the product feed.
What can you do with that data?
- In Meta you can use the exported data (CSV) to create product catalogs in Meta Ads and segment dynamic campaigns more precisely.
- In Google Merchant you can directly export the data via a complementary feed and thus integrate and create campaigns—Shopping, Performance Max, etc.—directly in Google Ads.
This allows you to create personalized and optimized campaigns around one cluster or subcluster. For example: launch an ad campaign so champion products keep growing and improve your business margins and profitability. Additionally, exclude non‑profitable products to avoid wasting ad budget and focus on those with true sales potential.
Thanks to the automation of Boostic.cloud, marketing teams can launch segmented campaigns with greater precision and in less time, eliminating the need for constant manual configurations. This means more time to design winning strategies and less on repetitive tasks.
Gather key data
To make smart decisions about a product catalog, you first need to understand it thoroughly. And that’s only possible with relevant, precise, and multidimensional data. Data must be collected from multiple sources and cover key aspects of sales, SEM, SEO, and user interactions.
Which metrics are essential for catalog analysis?
Sales performance data
- Units sold and revenue. Identify the products with the greatest and least impact on total income.
- Profit margin. Crucial to understand real profitability, not just sales volume.
- Returns and cancellations. Detect products with high dissatisfaction, description errors, or logistical issues.
Key SEM metrics (paid advertising)
- Impressions, clicks, and CTR. Measure ad visibility and appeal in search engines and marketplaces.
- CPC (Cost per Click) and ROAS. Key indicators to evaluate the efficiency of each euro spent.
- Conversion rate from paid traffic. Reveals whether ads are attracting users ready to buy.
- Budget distribution by product or category. Helps analyze if spend is going to high-performing products and avoids waste on low-conversion items.
How are your products positioned? Key SEO metrics
- SERP ranking. Indicates which products appear in Google’s top positions.
- Organic impressions and clicks. Measure organic traffic in terms of product appearance in searches and user click behavior.
- Conversion rate from organic traffic. Determines if SEO rankings translate into sales.
- Product page engagement. Helps to understand if the product listings are convincing or if they are causing users to abandon the page.
User engagement on product pages (PDP):
- Product views. Reflect initial interest in each item.
- Adds/removes from the cart. Identify products users considered but abandoned.
- Time on PDP. Measures user interest in the presented information.
- Conversion rate from PDP. Indicates the effectiveness of the product pages in turning visits into sales.
Analyze product performance by levels
To truly understand how a catalog is performing, it is not enough to just look at total sales. You must break performance down into different levels. This structured view allows you to detect patterns, correct issues, and focus resources where results are truly generated. These are the different levels you can identify:
Category analysis
Allows you to identify which types of products are working best and which need adjustments in price, availability or campaigns. Valuable trends emerge about consumer behavior by segment.
Brand analysis
Helps evaluate which brands generate greater loyalty, better conversion, or more organic traffic. It also identifies if a particular brand stands out in one channel.
Individual product analysis
This is where hidden opportunities and budget‑draining products are found. Detecting these extremes allows prioritization: boost what works, scale what has potential, and fix what adds no value.
This approach enables understanding behavior patterns, identifying trends, and applying differentiated strategies based on which catalog segment each product belongs to. In addition, it makes comparing performance across categories and brands easier, aiding informed decisions about advertising investment, assortment changes, or commercial strategy adjustments.
Managing products one by one is unfeasible as the catalog grows. The larger the volume, the harder it is to analyze and optimize effectively. The solution is to group products with similar behavior via clusters. This clustering automates segmentation, enables smarter decisions, and facilitates applying common strategies to groups with similar characteristics.
Discover hidden patterns and real opportunities with clustering
The true value of catalog analysis lies in identifying behavior patterns that reveal key trends and opportunities. These patterns can include: products with high traffic but few sales, items that convert well but have low visibility, and references that absorb ad spend without return.
Detecting these cases manually is complex, slow, and unscalable—especially with thousands of products. That’s where intelligent clustering becomes a strategic solution. With Boostic.cloud, products are grouped automatically into clusters, allowing you to:
- Optimize strategies by group. Apply specific tactics based on each product set’s performance.
- Prioritize impact actions. Focus efforts where sales and profitability actually move.
- Automate decision‑making. Implement optimization rules based on each grouping’s performance.
Thanks to clustering, catalog management becomes much more efficient: you save time and achieve better results.
Implement improvement strategies
Once patterns and clusters within the catalog are identified, the next step is to activate strategies that boost each group’s performance. The goal is to focus efforts where they truly generate impact, maximizing profitability and operational efficiency. Focus on each product group’s strengths and weaknesses.
Examples of strategies
Product page optimization
- Persuasive titles and descriptions. Clear, attractive, and featuring relevant keywords to improve SEO and conversion.
- Image optimization. Use high‑quality images that represent the product correctly, well‑framed, and without loading issues.
- Effective calls to action. Create clear messages that incentivize purchase, indicating product benefits or delivery time.
- Manage customer reviews. Promote positive ratings and respond to feedback to improve perception.
Pricing and strategic promotions
- Dynamic pricing strategies. Adjust based on demand, seasonality or competitors.
- Targeted discounts and offers aimed at conversion. Apply price drops on products with high traffic and low sales.
- Margin and profitability optimization. Balance prices to maximize revenue without sacrificing margin.
SEM and SEO campaign optimization
- Redistribute ad budget. Invest in products with better return.
- Intelligent segmentation using clusters. Use automated tags for more effective campaigns on Google Ads and Meta.
- Improve organic positioning. Focus SEO efforts on products with high traffic potential.
Stock and assortment prioritization
- Adjust inventory based on demand. Optimize stock to avoid stockouts or unnecessary accumulation.
- Remove or reduce low‑performing products. Redirect effort to more profitable items.
These strategies allow each product cluster to receive the most appropriate treatment based on performance and potential, achieving comprehensive catalog optimization.
Monitor and adjust
Analysis and strategy implementation are not static processes. To ensure sustainable improvements in catalog performance, you need to establish a continuous monitoring and adjustment process. This implies frequent reviews, weekly or even daily depending on campaign type.
We know such analyses are complex and time‑consuming—manual execution can take 20 to 40 fewer hours. That’s time you can dedicate to other areas of your company because tools like Boostic.cloud partially or fully automate this process, allowing for quick strategy optimization and fast reaction to market changes and new trends.
Define KPIs and schedule reviews
Select key indicators such as ROAS, conversion rate, CTR, and profit margin, among others. Reviews can be weekly or monthly, focusing on analyzing data to detect trend changes and adjust strategies accordingly.
Compare analysis periods
It’s important to compare different analysis periods (evaluating performance over 7, 14, and 30‑day) to identify evolution patterns and measure the impact of implemented strategies (price changes, campaigns, or inventory adjustments).
Automation and alerts for anomaly detection
Automation plays a fundamental role by setting performance thresholds to detect anomalies such as sudden sales drops or increases in advertising costs, along with notifications to facilitate immediate corrective action—like campaign adjustments, product page updates, or ad spend shifts.
A well‑structured monitoring and adjustment process lets you react quickly to market changes and continuously optimize the e‑commerce strategy. Boostic.cloud provides a comprehensive, detailed performance analysis of your product catalog, integrating key metrics and evaluating each strategy’s impact to maximize performance and profitability. Thanks to its advanced technology, it enables continuous monitoring and precise adjustments that guarantee constant optimization. Would you like to discover how Boostic.cloud can transform your catalog management?
