Product Update Apr 8, 2026 · 4 min read

New: Batch CSV Upload — Analyze Hundreds of Reviews in One Click

Analyzing reviews one at a time is useful for individual customer interactions. But if you want to understand patterns — the recurring themes, the systemic issues, the trends over time — you need to analyze your entire review history at once. That is exactly what ChurnSaver's batch CSV upload does.

Upload a CSV file containing your customer reviews and ChurnSaver will process every single one through the same AI analysis engine, then surface the aggregate patterns that would take weeks to find manually.

How to Get Your Reviews Into a CSV

The first step is exporting your reviews from wherever they live. Here is how to do it for the most common platforms.

1 Google Reviews

Go to Google Business Profile → Reviews. Google does not offer a direct CSV export, but you can use Google Takeout (takeout.google.com) to download your business data including reviews. Alternatively, third-party tools like Grade.us or Birdeye can export Google reviews to CSV.

2 Yelp

Log into Yelp for Business → Reviews. Yelp does not provide native CSV export either, but you can copy review text manually for smaller volumes, or use the Yelp Fusion API for larger exports. Tools like ReviewTrackers also support Yelp CSV export.

3 Trustpilot

Log into Trustpilot Business → Reviews → click the Export button in the top right. Select CSV format and your date range. Trustpilot's export includes review text, rating, date, and reviewer name.

4 Manual Collection

For reviews from multiple sources or platforms without export features, create a simple spreadsheet with one column for the review text. Save it as a .csv file. That is all ChurnSaver needs — just the review text. Rating, date, and source are optional bonus columns.

CSV Format Requirements

ChurnSaver accepts CSV files with flexible formatting. The minimum requirement is a single column containing review text. The system automatically detects which column contains the reviews. For best results, your CSV can include any of these columns:

Review text (required) — the actual customer feedback. Column can be named "review", "text", "comment", "feedback", or similar.
Rating (optional) — star rating as a number (1-5). Helps calibrate churn risk scoring.
Date (optional) — when the review was posted. Enables trend analysis over time.
Source (optional) — which platform the review came from (Google, Yelp, etc.).

        Tip: Reviews with fewer than 10 words provide limited analytical value. For best results, focus on reviews that contain substantive text rather than short ratings like "Great!" or "Not good."
      

Running the Batch Analysis

Log into ChurnSaver and navigate to the Dashboard.
Look for the CSV Upload section — you can drag and drop your file or click to browse.
Select your business type from the dropdown (this helps the AI calibrate its analysis for your industry).
Click Analyze All and watch the progress bar as each review is processed.
Results appear as each review completes. When the batch is done, you get an aggregate summary showing the top patterns across all reviews.

Processing speed depends on the number of reviews. A batch of 50 reviews typically completes in under 3 minutes. Larger batches of 100 or more reviews may take 5 to 10 minutes. You can continue using the dashboard while the analysis runs in the background.

What You Get From Batch Analysis

Beyond individual review analysis (which you get for every single review in the batch), the real power of batch processing is pattern detection. ChurnSaver aggregates the results and surfaces recurring themes, common emotional triggers, and systemic issues that repeat across multiple reviews.

For example, if 30% of your flagged reviews mention wait times and another 25% mention staff attitude, those patterns become immediately visible in the batch summary — even if each individual review only mentions the issue once. This is the kind of insight that is nearly impossible to get from reading reviews one at a time but obvious when analyzed in aggregate.

Best Practices for Batch Analysis

Analyze at least 50 reviews for statistically meaningful patterns. Fewer than 20 reviews may not surface reliable trends.
Include a mix of ratings if possible. 5-star reviews often contain valuable insights about what to keep doing, while 1-3 star reviews reveal what to fix.
Run batch analysis monthly to track whether your changes are working. Compare this month's churn risk distribution to last month's.
Export the results and share them with your team. ChurnSaver's analysis results can be used directly in team meetings to prioritize retention actions.

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