Product Review Analysis

Analyze 1,000 product reviews in 5 minutes.

MonkeyLearn charges $299/month for sentiment analysis. Copy-pasting 1,000 reviews to ChatGPT takes 8+ hours. Most businesses just... don't analyze their reviews at all. There is a better way.

Try the live demo Calculate your ROI

Your reviews are a goldmine you can't read.

Thousands of customers are telling you exactly what to fix, what they love, and what will make them leave. But the data is trapped in unstructured text.

200 hours

To read 10,000 reviews manually

At 90 seconds per review, reading and categorizing 10,000 reviews takes one person 250 working hours. That is 6 full work weeks.

$299/mo

MonkeyLearn sentiment analysis

Enterprise sentiment tools charge $299-$800/month. You still have to export, upload, configure models, and download results.

8+ hours

Copy-pasting to ChatGPT

ChatGPT processes one review at a time. Copy, paste, wait, copy result, paste back. For 1,000 reviews, that is 8+ hours of mind-numbing work.

7 steps. 5 minutes. Full analysis.

Type one formula. Drag it down. AI analyzes every review in parallel. Here is exactly how it works.

1

Paste 1,000 reviews into Column A

Export from Amazon, Trustpilot, App Store, G2, or any platform. Paste the raw review text into column A.

Your data
A1: "Great product but shipping took forever. The quality is amazing though."
2

Type =AI_SENTIMENT(A1) in B1

One formula. AI reads the review, determines sentiment, and returns a confidence score. No configuration needed.

Formula
=AI_SENTIMENT(A1)
Positive (0.94)
3

Drag down to B1000

Select the cell corner. Drag down. SheetSense processes all 1,000 reviews with staggered API calls. Results appear in real time.

Result
B1 through B1000: all analyzed
All 1,000 sentiments scored in minutes
4

Type =AI_CATEGORIZE(A1) in C1

AI automatically sorts each review into a category: Product Quality, Shipping, Customer Service, Price, or any custom categories you define.

Formula
=AI_CATEGORIZE(A1, "Product Quality, Shipping, Customer Service, Price, Other")
Product Quality, Shipping
5

Drag down to categorize all

Same mechanic: drag the formula down column C. Every review is sorted into your categories automatically.

Result
C1 through C1000: all categorized
1,000 reviews sorted in minutes
6

Type =AI_EXTRACT(A1, "key complaints") in D1

Extract exactly the information you need: key complaints, feature requests, product names mentioned, or any custom extraction target.

Formula
=AI_EXTRACT(A1, "key complaints")
Slow shipping (delivery took 3 weeks)
7

Full review dataset, ready to act on

Now you have structured, sortable data: sentiment scores, categories, and key issues. Filter by negative reviews, pivot by category, build charts. All in your spreadsheet.

Your output
Columns B-D: Sentiment | Category | Key Issues
1,000 reviews fully analyzed and actionable

See it analyze 10 real reviews.

Click "Run Analysis" to watch sentiment, categories, and key issues populate in real time. Just like it works in your Google Sheet.

Product Review Analysis - SheetSense Demo
B2
fx
=AI_SENTIMENT(A2)
A - Review B - Sentiment C - Category D - Key Issues
--
Positive
--
Negative
--
Mixed
--
Top Issue

Same data. Completely different outcome.

On the left: raw reviews no one has time to read. On the right: structured, filterable, actionable intelligence.

Before: Wall of text
1Great product but shipping took forever. The quality is amazing though and it works perfectly.
2Worst purchase I've ever made. Broke after 2 days and customer service ghosted me.
3Decent for the price. Nothing special but gets the job done. Packaging was nice.
4Love it! Third time ordering. Fast delivery this time too. Best on the market.
5The size was completely wrong. Returned it but still waiting for refund after 3 weeks.

+ 995 more rows of unstructured text...

After: Structured insights
1Positive 0.82Quality, ShippingSlow shipping
2Negative 0.97Durability, SupportBroke in 2 days, No CS response
3Neutral 0.65Value, PackagingNothing notable
4Positive 0.98Quality, ShippingRepeat customer
5Negative 0.91Sizing, RefundWrong size, Refund delayed 3 wk
Sentiment Distribution (1,000 reviews)
Positive
64%
Mixed
18%
Negative
18%

How much would you save?

Enter your monthly review volume. See what you save in time and money versus the alternatives.

Reviews per month 1,000
37.5 hrs
Hours saved per month
$1,865
Saved vs manual analysis
$9.99
SheetSense monthly cost
0.2 days
Payback period

Monthly cost comparison

Manual labor
$1,875
MonkeyLearn
$299
SheetSense
$9.99

Estimates based on publicly available pricing and industry averages as of March 2026. Actual savings may vary.

Replace $299/month tools for $9.99.

Every method compared side by side. Prices verified as of March 2026.

Method Monthly Cost Time for 1,000 Reviews Setup Time Accuracy
Manual reading $1,875 40 hours None Inconsistent
MonkeyLearn $299/mo 2 hours (with setup) 4 hours Good
Python + NLP $150/hr 1-3 hours 8-20 hours Depends on dev
ChatGPT (copy/paste) $20/mo 8+ hours None Good (one at a time)
SheetSense Best Value $9.99/mo 5 minutes 60 seconds Good (consistent)

Manual labor estimated at 90 seconds/review at $50/hr. MonkeyLearn Team plan. Python assumes freelance developer at $150/hr.

4 AI functions. One complete analysis.

=AI_SENTIMENT()
Returns Positive, Negative, Neutral, or Mixed with a confidence score from 0 to 1.
Positive (0.94)
=AI_CATEGORIZE()
Sorts text into custom categories. Define your own or let AI auto-detect the best fit.
Product Quality, Shipping
=AI_EXTRACT()
Extracts specific information from text: complaints, names, dates, features, or any custom target.
Slow shipping, 3-week delay
=AI_TOPICS()
Identifies the main topics discussed in text. Perfect for understanding what customers talk about most.
Battery life, Noise cancellation

Your customers are already talking. Start listening in 60 seconds.

Free forever. 50 AI calls/month. All 20 functions included. No credit card required.

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