Build Amazon Reports in Google Sheets with Hopted - Tutorial Of Integrations, Filters & AI Formulas

The challenge is usually getting the right Amazon data into the sheet without downloading files, merging reports manually, or rebuilding the same dashboard again and again.

Hopted helps with that by connecting Amazon Seller Central, Vendor Central, and Amazon Ads data directly into Google Sheets.

In this tutorial, you will see how to build a custom live data sync, combine fields from different Amazon reports, apply filters, set refresh intervals, and use formula columns or AI formulas inside your spreadsheet workflow.

Engineering Custom Reports From Scratch

A custom report starts from the Hopted sidebar inside Google Sheets.

Open the sidebar, click New Live Data Sync, and choose the data source you want to work with.

Depending on your account and setup, this may include Amazon Seller Central, Vendor Central, or Amazon Ads.

This is useful because different teams need different reports.

A seller may need inventory and sales data.

A PPC manager may need campaign performance.

An agency may need to manage several client stores from one connected workspace.

If you manage multiple Amazon accounts or marketplaces, choose the correct connected profile before building the sync.

That one choice affects which data will appear in the finished sheet.

Merging Independent Data Sources Into One View

The real value of a custom sync is that you can bring different Amazon report fields into one sheet.

For example, you can combine product information from an Active Listings report, performance data from a Sales and Traffic report, and inventory data from a Restock Inventory report.

Instead of checking those reports separately, you can line up the fields in one working view.

You might pull product title, SKU, and current price from one report, then add Buy Box percentage, ordered units, revenue, or sessions from another report.

You can also compare the same metric across different date ranges when you want to see whether recent performance is improving or dropping.

Hopted can also help you include inventory fields, such as available stock, reserved units, or fulfillment-related quantities, depending on the selected report.

This makes the sheet more useful for real operations because sales and inventory are visible together.

Applying Granular Compliance Filters

Before you finish the report, you can filter the rows so the sheet only shows what matters.

For example, you might create a filter for products where the Buy Box percentage is below a certain threshold.

That can help your team focus on listings that may need review instead of scrolling through every SKU.

Use filters carefully.

A low Buy Box percentage may point to a pricing issue, stock problem, suppressed offer, or competing seller activity, but it still needs human review before you decide what to change.

Setting Refresh Cadences And Tracking Synchronization

After choosing your reports and filters, decide how often the data should refresh.

Some reports may need frequent updates.

Others only need to refresh once a day.

For example, a fast-moving inventory or Buy Box report may need more frequent syncing than a monthly performance review sheet.

The video shows refresh options ranging from short intervals to longer scheduled updates.

Check your own Hopted workspace and plan settings to confirm the available options before relying on a specific cadence.

A timestamp or last changed column can help your team see when the data was last updated.

That is important because a report is only useful if everyone understands how fresh the numbers are.

Building Calculated Formula Columns

Custom columns make the report more useful because they turn raw data into a business metric.

For example, if your sheet includes available units and current price, you can create a formula column that estimates the total retail value of available inventory.

The goal is to reduce extra manual work after the data lands in the sheet.

Instead of pulling numbers first and calculating everything later, you can build some of those calculations into the report setup.

Enriched Data Tagging with Hopted AI Formulas

AI formula columns can help when your report needs text cleanup or categorization.

For example, you can ask the AI formula to review product titles and return a short category label.

That can make a messy catalog easier to sort, filter, or review.

Keep the prompt simple and specific.

If you want one-word labels, say that.

If you want the AI to classify products by size, category, or risk level, explain the rule clearly and test it on a small sample first.

AI-generated labels are useful for organizing data, but they should still be reviewed when they affect important operational decisions.

Flexible Formatting And Shared Workspaces

A good report should still feel like a normal Google Sheet your team can work in.

Hopted is designed to keep your spreadsheet usable while data refreshes.

You can add notes, rearrange columns, use colors, apply formatting, and build team workflows around the live data.

For example, an operations manager could mark a SKU as needing attention, leave a note, or tag a teammate while the synced data continues updating around that workflow.

Before rolling this out to the full team, test the sync and formatting behavior on a small report.

Confirm that your notes, formulas, and dashboards behave the way you expect.

Final Thoughts

Hopted custom reports are useful when pre-made templates are not specific enough for your workflow.

Start with the business question, choose the Amazon data sources that answer it, apply only the filters you need, and then add formulas or AI formulas where they make the sheet easier to use.

Most importantly, review the finished report before relying on it.

Automation is helpful, but your team still needs to confirm that the data, filters, and calculations match the decision being made.