Gorilla ROI vs Hopted: Comparison for Amazon Sellers Using Google Sheets

If you are comparing Gorilla ROI and Hopted, you are likely trying to solve a very specific problem.

• You already use Google Sheets.
• You already rely on Amazon data.
• And you want that data to show up in Sheets without breaking, slowing down, or becoming a constant maintenance task.

I’ll explain how Gorilla ROI and Hopted approach this problem, where they are similar, and where the differences start to matter in real use.

To be clear, this is not an abstract feature comparison. Both tools cover most of the same area. The real differences show up when the data grows, when multiple people rely on the same sheets, and when reports are refreshed day after day without babysitting.

Before going deeper, the table below summarizes how Gorilla ROI and Hopted differ in day-to-day use.

Gorilla ROI vs Hopted – Practical Comparison

Gorilla ROI has been in the Amazon to Google Sheets space for over six years. It is still built by active million dollar Amazon sellers who were dealing with manual exports, broken spreadsheets, and slow tools long before this became a common category.

That experience shapes how the product works today and why certain design decisions were made.

This article follows the same structure and conclusions as the video below, so you can read or watch and get the same understanding either way.

What Gorilla ROI and Hopted Both Do Well

Before getting into differences, it’s important to be clear about what Gorilla ROI and Hopted both do well. This is not a case where one tool works and the other does not.

• Both Gorilla ROI and Hopted pull Amazon data into Google Sheets.
• Both are designed for people who already live inside spreadsheets.
• Both use a point-and-click setup instead of forcing you to write code.
• Both support custom reports.
• Both refresh data automatically on a schedule.

At a high level, the end result looks very similar. You open a Google Sheet and your Amazon data is there. Orders, inventory, performance metrics, advertising data. You are not manually exporting CSVs anymore.

Gorilla ROI also supports Shopify today, and Walmart is coming right around the corner (if not already available when you are reading this), but for Amazon-only sellers, the overlap between the two tools is real.

This is why surface-level comparisons tend to be misleading. If you only look at feature lists or screenshots, the tools appear almost interchangeable.

The differences don’t show up at first glance.

They show up after you’ve been using the sheets for a while.

That’s where the comparison actually becomes useful.

The Real Question Most Comparisons Miss

Most comparisons stop at features.

That’s where things go wrong.

The real question is not whether a tool can pull Amazon data into Google Sheets. Both Gorilla ROI and Hopted do that.

The real question is what happens after that sheet becomes part of your day-to-day work.

• How long does the data take to load?
• Do reports stay stable as they grow?
• Does the sheet feel predictable, or do you hesitate before refreshing it?

These are not edge cases. This is normal usage once a spreadsheet becomes important. When multiple reports depend on it. When more than one person opens it every day. When the row count and number of tabs keep climbing.

At this point, the experience changes. Small delays become frustrating. Minor issues become recurring problems. A tool that felt fine early on starts to require attention.

This is where Gorilla ROI and Hopted begin to separate, not in what they promise, but in how they behave over time.

How Hopted Works in Practice

Hopted is built around a Chrome extension that runs inside Google Sheets.

After installing the extension, you control everything through a sidebar inside the sheet. From there, you connect your Amazon account, choose the reports you want, and select the fields you want pulled into the spreadsheet.

Hopted gives you a few different ways to get started. You can use their AI prompt to describe what you want and let it build a sheet for you. Much like how you can ask Gemini inside any of our starter templates or your Google Sheets to analyze and create tables.

You can start from one of their templates. Or you can build a report from scratch by selecting individual reports and fields.

Once a connection is set up, Hopted refreshes the data on a schedule. You can choose how often that happens. Frequently to less frequent updates. The idea is that the sheet stays current without manual exports.

Word of caution that frequent updates will drastically slow your reports down as it has to load a row at a time.

Hopted also allows you to combine data from different Amazon reports into a single view and add calculated columns. This makes it possible to create more custom views than what Amazon gives you out of the box.

In short, Hopted focuses on guiding the user through setup with a visual interface. Most actions are done through clicks and menus rather than formulas. For some teams, that feels approachable and structured.

This approach works best when reports stay relatively small and when the spreadsheet is mainly used as a place to view data rather than a system that grows and evolves over time. It’s best suited for new to small sellers with probably at most one to two VAs in the business.

How Gorilla ROI Works in Practice

Gorilla ROI is installed as a native Google Sheets add-on, not a browser extension.

Once it’s installed, everything is controlled from the add-on sidebar inside Google Sheets. You connect your Amazon account, select the reports you want, choose the fields, and decide how often the data should refresh. The setup is straightforward and familiar, and you can get data into Sheets in as little as ten clicks.

On the surface, this looks similar to Hopted. You are still selecting accounts, reports, and fields through a UI. The difference is in what Gorilla ROI deliberately does not do.

Gorilla ROI does not try to build custom views, joins, or calculated logic inside the connector itself. It pulls clean, structured Amazon data into Sheets and then gets out of the way. Our focus is simple: get the data into the spreadsheet as fast as possible.

If you want sales data, inventory value, ad stats, or any other metric, you do that directly inside the spreadsheet. That’s the point of using Google Sheets in the first place.

This is intentional.

Over time, we found that pushing logic and features into the connector slows things down and makes spreadsheets harder to maintain. When calculations live inside the tool instead of the sheet, simple changes turn into frustration. Reports get heavier. Refreshes take longer. Troubleshooting becomes harder because the logic is hidden behind menus instead of visible in cells.

We prefer keeping things simple and doing the simple things extremely well.

With Gorilla ROI, the spreadsheet stays in control. The connector focuses on speed, stability, and moving large amounts of data into Sheets reliably. The spreadsheet does what spreadsheets are good at.

This approach works best when Sheets is more than a viewing layer. When it is actively used, shared, extended, and relied on day after day without breaking or slowing to a crawl.

Quick Comparison at a Glance

Write Back vs Read Only

One area where Gorilla ROI and Hopted differ is how they think about pushing data back into Amazon.

Hopted is working toward a write-back feature that allows changes made in Google Sheets to be pushed directly into Amazon. In theory, this can support workflows like listing updates or bulk changes without going back into Seller Central.

I’ve been asked to build this kind of functionality for Gorilla ROI many times over the years.

We made a conscious decision not to.

In real businesses, Sheets are rarely used by one person. They are shared across teams, VAs, agencies, and contractors. Formulas get edited. Columns get moved. Temporary notes get added. Someone forgets to remove a filter. Someone copies a sheet to test something.

In that environment, write-back features introduce real risk.

One accidental change can propagate into Amazon in ways that are hard to notice until something breaks. And when it does, tracing the cause back through a spreadsheet is not simple.

That is why Gorilla ROI is downstream only by design.

It pulls data from Amazon into Sheets, reliably and repeatedly, without the possibility of pushing unintended changes back into your account. This keeps Sheets safe as an analysis and reporting layer, not an operational control panel that can accidentally affect live listings or campaigns.

For some teams, write-back may eventually make sense. But for most businesses that rely on Sheets every day, keeping data flow one-directional reduces risk and removes an entire class of problems before they can happen.

This design choice ties directly into the rest of the product philosophy. Keep the connector focused. Keep the spreadsheet visible and understandable. Avoid hidden behavior that only shows up when something goes wrong.

Authority and Experience

Gorilla ROI has been in the Amazon to Google Sheets space for over six years, before this became a category.

It was built by active Amazon sellers who were dealing with the same problems most teams still face today: manual exports, broken spreadsheets, and reporting workflows that constantly needed fixing.

This is not a tool built by developers guessing how sellers work.

The people building Gorilla ROI actively run Amazon stores. They work inside Seller Central, deal with real data gaps, and feel the friction when reports fail or take too long to update.

Because of that, product decisions are shaped by real seller use, not theory.

Features are added only when they solve an actual reporting problem, and many features are intentionally left out when they introduce complexity or long-term maintenance issues.

That background matters, because it explains why Gorilla ROI is designed the way it is today.

The Biggest Difference: Performance and Reliability

Once Amazon data grows beyond a certain point, most Google Sheets connectors start to fail in predictable ways.

Sheets become slow. Refreshes take longer. Timeouts appear. Entire spreadsheets stop responding. In some cases, the connector crashes or quietly stops updating.

This usually happens when too much logic is pushed into the connector itself.

Joins, calculated fields, custom views, and transformations add processing overhead. At small data sizes, this feels fine. As rows increase, it becomes a problem.

Gorilla ROI was designed around avoiding that failure mode.

Its job is simple: pull clean, structured Amazon data into Google Sheets as fast and reliably as possible, then step out of the way.

We’ve tested this repeatedly at scale.

Gorilla ROI can load thirty thousand rows of Amazon data in under twenty seconds. That is a full table, not a single column. We’ve compared this against large, established connectors in real spreadsheets, and the performance difference is consistently significant.

This is not about benchmarks or marketing claims.

It is about whether a spreadsheet still works after months of growth, daily refreshes, and multiple people relying on it. When Sheets is used as a working tool, not just a dashboard, performance and reliability stop being nice-to-haves and start being non-negotiable.

Pricing Philosophy

Hopted and Gorilla ROI use very different pricing models, and those models reflect who each tool is really built for.

Hopted pricing is based on the number of synced tabs and user add-ons. As you add more spreadsheets, more tabs, or more team members, the cost increases. This structure works best for new or smaller sellers who are running a limited number of reports and working with simple setups.

Gorilla ROI pricing is based on monthly order volume across your stores. All supported platforms are included, with unlimited data, unlimited users, and no add-ons. The price does not change as more people access the same spreadsheets or as reporting grows.

In practice, this makes Gorilla ROI a better fit for teams and serious sellers who rely on Google Sheets daily, share reports across multiple people, and work with large or growing datasets. The pricing stays predictable as the business scales, without forcing trade-offs between access, data size, or team collaboration.

Who Each Tool Is Best Suited For

Hopted is a good fit if:

• You are new or early in selling on Amazon
• You prefer guided views without touching formulas
• Your spreadsheets are relatively small
• One or two people manage reporting

Gorilla ROI is a better fit if:

• Google Sheets is part of daily operations
• Reports are large or growing
• Multiple people rely on the same data
• Speed and reliability matter more than built-in views

Frequently Asked Questions

What is the main difference between Gorilla ROI and Hopted?

Both tools pull Amazon data into Google Sheets, but they take different approaches. Gorilla ROI focuses on speed and reliability by keeping logic inside the spreadsheet, while Hopted adds more logic inside the connector itself, which can become limiting as datasets grow.

Is Gorilla ROI or Hopted better for large datasets?

Gorilla ROI is better suited for large datasets because it focuses on fast data loading and avoids adding heavy logic inside the connector. This keeps refresh times predictable even as row counts increase.

Does Hopted support more customization than Gorilla ROI?

Hopted offers more built-in customization inside the connector, such as joins and calculated fields. Gorilla ROI takes a different approach by letting users build custom logic directly in Google Sheets using standard spreadsheet formulas.

Which tool is better for teams using Google Sheets daily?

Gorilla ROI is generally a better fit for teams that rely on Google Sheets every day, because it is designed to refresh large reports reliably without requiring ongoing maintenance inside the connector.

Is write-back from Sheets to Amazon safe?

Write-back can be useful, but it increases the risk of accidental changes in team environments. Gorilla ROI is read-only by design to avoid that risk.

‍

Final Thoughts

Gorilla ROI and Hopted solve the same core problem. Both remove the need for manual Amazon exports and both get data into Google Sheets.

The difference is not what they can do on day one.
The difference is how they behave over time.

Hopted works well if you are early, running a small setup, and want guided features inside the tool itself. It gives structure and convenience without much upfront thinking.

Gorilla ROI is built for when Google Sheets is not just a destination, but a working environment. When reports grow large. When multiple people depend on the same sheets. When speed, stability, and predictability matter more than extra features layered on top.

That design choice is intentional and comes from years of real use, not theory.

If you are evaluating both tools, the right question is simple.

Do you want a tool that builds views for you, or a tool that delivers fast, reliable data and lets Sheets do what it already does best?

That answer usually makes the decision clear.

‍