What counts as a "Facebook review" here?

Facebook Page recommendations/reviews left by visitors, plus the text that comes with them.

Why are Facebook reviews harder to interpret than other platforms?

They are often short, subjective, and low-context. Analytics helps you avoid overreacting to one loud comment.

What does Reviato do with Facebook reviews?

It aggregates into a single view, then surfaces sentiment, recurring terms, and trend changes over time.

Do you provide Facebook Page management tools?

No. Reviato is not a Page management suite. It doesn't do publishing, ads, or moderation.

Do you offer a DM inbox or messaging workflow?

No. Reviato doesn't provide a social inbox or DMs.

Is there "rating" data for Facebook reviews?

Sometimes. Reviato can filter by rating-like signals where available. Otherwise filter by text and date.

Do you support aspect analysis for Facebook reviews?

Lightly. When text is descriptive enough, Reviato can surface common themes. When it isn't, you still get aggregation, sentiment, and trends.

What's the point of sentiment analysis on short reviews?

Prioritization. It helps you spot tone shifts quickly, then you read the specific reviews.

Can I search and filter Facebook reviews?

Yes. Search by text, filter by date, and use available rating-like metadata.

What are "highlights" used for?

They pull out phrases carrying the sentiment so you can skim fast without losing context.

What do word maps and key terms show?

They show repetition, what people keep bringing up, so you distinguish one-off from recurring.

Platforms

Facebook review analytics and sentiment trends

Facebook reviews can be short and subjective. Reviato helps you see what's actually repeating, sentiment shifts, recurring terms, and changes over time.

How to use this page

Use this page as a practical reference, then apply the ideas to your own operation and constraints.

Focus on one actionable change at a time and measure outcomes before moving to the next change.

Key Highlights

Sentiment trends: Classify sentiment per review, then track the trend over time. Especially helpful because individual posts can be noisy.
Key terms & word maps: Surface phrases that keep showing up. If "rude" appears once, it's a story. Every week is a problem.
Search & filter: Search by keyword, filter by date range, filter by rating-like metadata when it exists.
Highlights: Pull out sentiment-carrying phrases so you can skim fast and still understand why.

Common patterns

Staff tone

Short comments about friendliness or rudeness.

Value impressions

Comments about price or value after changes.

Service speed

Mentions of wait times and slow service.

Example investigations

Staff friendliness sentiment shift

Sentiment drifts down, terms cluster around staff descriptors. Filter last 30 days, search "rude", "friendly", "staff".

Value mentions after menu change

More mentions of "expensive", "not worth it". Set date split, search "price", "value", compare highlights.

What we extract from Facebook reviews

Review text

The written recommendation or review content.

Date and source

The timestamp and platform source.

Sentiment signal

A positive or negative label for trend tracking.

Facebook reviews are quick, emotional, and low-context

That's useful as a vibe check, but it's a bad foundation for decisions. One angry post can stick in your head for weeks.

Reviato helps you treat Facebook reviews like a signal: what's repeating, what changed recently, and what's trending.

What it is not

Reviato is not a shared inbox for replying to reviews, a messaging platform, or a listings manager.

Make sense of messy Facebook feedback

See what's repeating, what changed, and what's trending.

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