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Platforms3
Accounts10
Used by the world's leading companies
Available metrics
Available dimensions
What our customers say about us.
After three years of use, Catchr has become essential for both our teams and our clients. So far, it has been our best solution for compiling and analyzing data from different advertising platforms. It’s easy to set up, and the customer service is responsive and excellent.
With Catchr’s automated API, we can finally collect and centralize all advertising data, connect it with booking information, and calculate the real ROAS for our restaurant clients. It gives them full visibility, more autonomy, and the ability to optimize campaigns to maximize ROI.
The solution is a real game changer, providing optimal time savings for our data reporting. The major strength of the solution is their highly responsive and professional support.
Add Facebook Review in Catchr and enter the Page identifier from its Facebook URL. For facebook.com/metmuseum/, use metmuseum. Several Page identifiers can be configured as a comma-separated list. Select the Page in your Catchr data source and connect it to Looker Studio. Start with Review Date, Review Text, and Recommendation Status to confirm that you have the intended business Page's feedback.
Facebook uses Recommendations for feedback on business Pages, while older star-rated reviews may also appear. Catchr exposes Recommendation Status and a separate Rating field when a star rating is available. Analyze the status values actually returned; do not treat a missing star rating as zero or assign an invented star score to a recommendation. Keep legacy rating averages separate from the share of reviews recommending the business.
Check the Page's Reviews section and whether Recommendations are enabled. Facebook states that turning Recommendations off removes the Page's visible rating and reviews. Visibility also depends on whether feedback is shared publicly and remains available on Facebook. Then check the Page identifier, review-date range, and refresh state in your report. A connector cannot recover private or removed feedback. Meta's Recommendations settings guide explains where to check.
No. This source focuses on feedback for the configured business Page. It includes review text, dates, reviewer information, recommendation status, review links, and comment counts when available. For organic audience and content reporting, use Facebook Pages; for campaign spend and conversions, use Facebook Ads. Marketplace seller ratings are a separate Facebook feature and are not exposed by this Page-review source.
Group individual records by Review Date and count distinct Review IDs. Break that count down by Recommendation Status to see how the returned feedback changes over time. Use only records with a known status when calculating a recommendation percentage. The Page-level Review Count and Average Rating are current summaries, not monthly snapshots, and Catchr cannot request those global fields together with individual review fields. Keep them in separate scorecards.
Catchr exposes Comments Count and a link to the review, but its current catalog does not include comment text, the identity of the responder, or reply timestamps. A review with comments is therefore not proof that the business has answered it. Use the count to identify active discussions and open the original review to inspect or respond to the conversation. Comments Count is a current value, not the number of comments posted during your selected date range.
One request is not an unlimited archive. Catchr follows the available review cursors until results end, the date boundary is reached, or roughly 1,000 matching reviews have been collected. Use narrower review-date windows for Pages with substantial feedback and inspect the coverage returned. The current Page review total can exceed the individual records in a dashboard. Keep each Page identifier attached to its review rows when comparing several businesses.
Our team is always here to answer any questions you may have about our data connector.
