The growth of ecommerce has made tools like Olist ERP<\/strong> increasingly important for organizing operations and centralizing the business’s strategic information.<\/p>\n However, as stores grow, the amount of data that must be analyzed from different platforms involved in this process also increases.<\/p>\n For example, while the ERP gathers information on sales, inventory, orders, and finances, ad platforms show customer acquisition data, and analytics platforms help understand consumer behavior throughout the purchasing journey.<\/p>\n The problem is that when each piece of information is isolated in a different environment, analyzing the business’s performance becomes more complex.<\/p>\n That is why more companies are seeking to create unified dashboards capable of connecting operations, marketing, and sales in one place.<\/p>\n In this way, throughout this article, you will understand how Olist ERP works, what information it consolidates, and how to integrate this information<\/strong> to construct more complete and strategic analyses for ecommerce. Stay tuned.<\/p>\n Olist ERP, formerly known as Tiny ERP, is a business management platform especially focused on ecommerce operations.<\/a><\/p>\n With this, its main objective is to centralize processes that are usually distributed among different systems.<\/strong><\/p>\n In practical terms, the tool allows for managing inventory, controlling orders, tracking finances, issuing invoices, and integrating sales channels in one environment.<\/p>\n From this, Olist facilitates operational routines, reduces rework, and provides a more organized view of the company.<\/p>\n It also has available integration with marketplaces ecommerce platforms<\/a> and various tools used in the day-to-day of digital operations.<\/p>\n Thus, for managers who need to follow the business’s growth without losing control of operations, this data consolidation represents a significant productivity gain.<\/p>\n In addition to centralizing important routine processes, Olist ERP also gathers data that helps monitor the operation’s health more closely.<\/p>\n Among the main available information are:<\/p>\n Together, these data offer a clearer view of the business’s performance and serve as a basis for various daily decisions.<\/p>\n However, to understand the impact of growth actions, it’s necessary to go beyond operations.<\/p>\n After all, many analyses become more complete when this information is cross-referenced with marketing data, paid media, and consumer behavior.<\/p>\n However, to have a complete view of ecommerce performance, it’s important to remember that not all information is within the ERP.<\/p>\n For example, data related to customer acquisition and user behavior usually remain in other platforms. Among them are:<\/p>\n From this information, it is possible to understand where customers come from, how they interact with the store, and which channels are effectively contributing to the business’s results.<\/p>\n But when all this information is distributed among different tools, a common challenge arises in the routine of ecommerce managers.<\/p>\n After all, operational data is in the Olist ERP, campaign results are on ad platforms, and user behavior is tracked by analytics.<\/p>\n As a consequence, answering important business questions requires consultations in several different systems. For example,<\/p>\n Without an integration between these sources, finding these answers usually involves spreadsheets, manual exports, and a much longer analysis process than it should be.<\/p>\n It is precisely at this point that the integration between marketing and operational data makes a difference.<\/p>\n This is because when this information is analyzed together, it becomes much easier to identify opportunities, risks, and patterns that would hardly be noticed from isolated metrics, as we will see below.<\/p>\n To begin with, among the marketing metrics most tracked by managers is the ROAS<\/a>.<\/p>\n Although it is important for measuring the return on ad investment, analyzing this indicator in isolation can lead to erroneous conclusions for ecommerce.<\/p>\n For example, imagine the following scenario:<\/p>\n At first glance, product A seems to be the better choice since it has a higher ROAS.<\/p>\n However, when the margin is included in the analysis, the perception changes, as product B may generate much more profit for the company depending on the costs involved.<\/p>\n That’s why decisions based solely on ROAS do not always lead to the best results.<\/p>\n In many cases, they end up allocating budget to products that sell more but contribute less to the business’s profitability.<\/p>\n\n That’s precisely why a more complete analysis goes beyond media metrics and incorporates operational information.<\/p>\n In this scenario, some indicators stand out, such as:<\/p>\n When these data are analyzed together, it becomes much easier to identify which products truly contribute to the business’s financial results.<\/p>\n Consequently, budget distribution stops being solely based on sales volume or ROAS and starts to prioritize items that offer greater financial returns for the operation.<\/p>\n Another extremely important data cross-reference involves inventory and paid media.<\/p>\n After all, it is not uncommon to find campaigns investing in products that are about to run out or do not have enough availability to support the sales volume generated by the ads.<\/p>\n Thus, by integrating Olist ERP data into the dashboard, it becomes possible to monitor inventory much more efficiently.<\/strong><\/p>\n Among the main benefits are:<\/p>\n Additionally, automatic alerts help reduce the risk of selling unavailable products and avoid issues like cancellations and delays.<\/p>\n Finally, looking only at gross revenue can also lead to distorted interpretations of campaign performance.<\/p>\n After all, not every sale made effectively translates into revenue for the company.<\/p>\n Imagine, for example, a campaign that generates R$100,000 in sales. At first glance, the result seems excellent.<\/p>\n However, if a significant portion of these orders is canceled or results in returns, the real return could be much lower than the initial numbers suggest.<\/p>\n Therefore, a more complete analysis should consider indicators such as:<\/p>\n When these metrics are tracked together, it becomes much easier to understand the real impact of campaigns on financial results and avoid decisions based solely on superficial numbers.<\/p>\n From all this, we can see that the most efficient way to eliminate fragmented analyses is to gather all information in a single dashboard.<\/p>\nExecutive Summary<\/h3>\n
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What is Olist ERP formerly Tiny<\/h2>\n
What data does Olist ERP export natively<\/h3>\n
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What is usually outside the ERP<\/h3>\n
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The challenge of fragmented analysis<\/h3>\n
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Points of attention in ecommerce analysis and media investment<\/h2>\n
1. The problem of analyzing only ROAS<\/h3>\n
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\n Product<\/strong><\/td>\n ROAS<\/strong><\/td>\n Margin<\/strong><\/td>\n<\/tr>\n \n A<\/strong><\/td>\n 8<\/td>\n 10<\/td>\n<\/tr>\n \n B<\/strong><\/td>\n 4<\/td>\n 45<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n 2. How to cross-reference margin and paid media<\/h3>\n
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3. Analysis of inventory and active campaigns<\/h3>\n
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4. Monitoring of returns and cancellations<\/h3>\n
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How to build a unique dashboard with Olist ERP, Ads, and Analytics<\/h2>\n