How to create an Olist Tiny report: Tips and essential metrics

How to create an Olist Tiny report: Tips and essential metrics

Tracking Olist Tiny's sales and performance data is essential for optimizing business strategies and increasing profitability. With a well-structured report, it is possible to identify the best-selling products, understand the revenue by marketplace, analyze customer behavior, and plan strategic actions to improve results.

In this article, we will explore the main metrics that are essential for an Olist Tiny report and how to build these visualizations efficiently.

Essential metrics for your Olist Tiny report

1. Top 5 Products by Revenue

Displays a ranking of the top 5 products with the highest revenue in the defined period.

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Screenshot of Olist Tiny Looker Studio Report by Kondado

2. Revenue by Marketplace

Displays a donut chart showing the percentage of sales by marketplace.

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Screenshot of Olist Tiny Power BI Report by Kondado

3. Orders by Channel (Monthly)

Presents the number and percentage of orders by marketplace, such as Amazon, Shein, and Mercado Livre, during the selected period.

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Screenshot of Olist Tiny Power BI Report by Kondado

4. Sales Table

Lists the products sold according to the applied filters, presenting their details individually. It can vary depending on the filter used.

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Screenshot of Olist Tiny Power BI Report by Kondado

5. Customer Filter

Allows you to search by the customer's name.

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Screenshot of Olist Tiny Looker Studio Report by Kondado

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Screenshot of Olist Tiny Looker Studio Report by Kondado

6. Customer Status Chart

Provides an easy analysis with its bar chart, showing the number of customers who made purchases during the defined period or their status as either "new customer" or "repeat customer."
You can change the date view to weeks using the arrows on the right side.

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Screenshot of Olist Tiny Looker Studio Report by Kondado

7. Potential Revenue in Stock

Provides a visualization of the possible revenue from the sale of products in stock, considering the registered sale value. It results from the product of the number of items in stock and their sales price, which may vary according to the SKU.

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Screenshot of Olist Tiny Looker Studio Report by Kondado

8. ABC Curve Table

Displays the ABC Curve information by SKU (product) and category, showing the percentage representation of each one in the total sales revenue. It is also possible to identify the number of items sold and their revenue. The products are highlighted according to their classification: Class A in green, Class B in blue, and Class C in red, as indicated in the legend below.

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Screenshot of Olist Tiny Looker Studio Report by Kondado

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Screenshot of Olist Tiny Looker Studio Report by Kondado

Ways to create an Olist Tiny report

There are several ways to build Olist Tiny reports:

1. Exporting and Structuring Data Manually: Exporting and structuring the data directly from Olist Tiny and manually organizing it into spreadsheets.

2. Using Kondado: Utilizing Kondado's integration pipelines to bring the data into spreadsheet tools like Google Sheets and Excel, BI platforms like Looker Studio and Power BI, and also databases such as Redshift SSH and BigQuery.

3. Ready-Made Templates: Kondado offers ready-made templates with all the mentioned metrics, allowing you to visualize your data quickly without the need for complex configurations.

To learn more about how to create reports in Looker Studio, visit the Olist Tiny Looker Studio report documentation and the Olist Tiny Power BI report documentation.

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GIF of the Olist Tiny Looker Studio Report by Kondado

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GIF of the Olist Tiny Power BI Report by Kondado

Choose the method that best fits your business and start visualizing your results more clearly and objectively.

Transform your data into powerful insights with Kondado

No more manual processes and outdated reports. With Kondado, you connect your Olist Tiny data to interactive and clear reports. Track your store's performance in real-time, identify growth opportunities, and make smarter decisions.

Build an Olist Tiny Sales & Inventory Report

Create a complete Olist Tiny report with essential metrics for sales performance and inventory using BI tools or spreadsheets.

1
Define your core metrics

List the metrics your report needs: Top 5 Products by Revenue, Revenue by Marketplace, Orders by Channel, Customer Status, ABC Curve by SKU, and Potential Revenue in Stock. These cover sales performance and inventory value.

2
Choose your reporting method

Pick how you'll build the report: manual export and structuring, automated pipelines via Kondado's data integration, or a ready-made Olist Tiny template.

3
Connect your data destination

Send your Olist Tiny data to the destination that fits your workflow: Google Sheets or Excel via spreadsheet integration, BI tools like Power BI or Looker Studio, or databases such as BigQuery, PostgreSQL, or Redshift.

4
Build the visualizations

Create each chart, scorecard, and table for the metrics you defined. Apply filters by marketplace, status, period, and customer to make the report interactive.

5
Schedule updates and share with your team

Set Kondado to refresh the integration at the frequency you choose, so the report stays current. Share the dashboard with stakeholders and review it on a regular cadence.

Frequently asked questions

What are the most important metrics to include in an Olist Tiny report?
The essential metrics include: Top 5 Products by Revenue, Revenue by Marketplace (donut chart), Orders by Channel with monthly breakdown, a detailed Sales Table, Customer Filter and Status Chart, Potential Revenue in Stock, and an ABC Curve Table by SKU and category. These cover sales performance, customer behavior, and inventory optimization.
Can I create Olist Tiny reports without manual data exports?
Yes. Instead of manually exporting and structuring data, you can use Kondado's integration pipelines to automatically bring Olist Tiny data into Google Sheets, Excel, Looker Studio, Power BI, Redshift SSH, or BigQuery. Kondado also offers ready-made templates with all key metrics pre-configured for quick visualization.
How does the ABC Curve Table help with inventory management?
The ABC Curve Table classifies your products by SKU and category based on their percentage contribution to total sales revenue. Class A products (green) are your top revenue generators, Class B (blue) are moderate performers, and Class C (red) are lower contributors. This helps you prioritize stock investment, marketing focus, and procurement decisions.
What is Potential Revenue in Stock and how is it calculated?
Potential Revenue in Stock shows the possible revenue you could generate by selling your current inventory. It is calculated by multiplying the number of items in stock by their registered sales price per SKU. This metric helps you understand the capital tied up in inventory and forecast future revenue opportunities.
Can I switch between different time views in the Olist Tiny report?
Yes. The Customer Status Chart allows you to change the date view to weeks using the navigation arrows on the right side. This flexibility lets you analyze customer acquisition and retention patterns at different granularities, from weekly trends to broader monthly or custom periods.
Where can I learn more about building reports in Looker Studio or Power BI?
The article references dedicated documentation for both tools. For broader guidance on turning integrated data into dashboards, explore Kondado's data-to-dashboards resources, which cover connecting sources like Olist Tiny to visualization platforms and optimizing your reporting workflow.

Written by·Published 2025-05-21·Updated 2026-04-26