Stop guessing what customers complain about — see the pattern

You stop guessing what to fix. Sentiment analysis reads between the stars and turns a hundred scattered comments into three actionable themes.

How review sentiment analysis works

It's the difference between reading reviews and understanding them. Review sentiment analysis uses AI to read every review and classify the feelings and topics inside it, so rather than skim a hundred comments you get a structured read: which topics drive your positive sentiment, which drive the negative, and how each is trending. ReviewTactic does this across every review on every connected platform, not just Google.

How ReviewTactic scores sentiment

1. It reads every review. AI classifies each review's overall sentiment and the topics inside it.
2. It groups the themes. Recurring topics — food, wait time, staff, cleanliness, value — get clustered and scored.
3. It tracks the trend. Sentiment and theme frequency are plotted over time, so you see what's improving and what's slipping.

Topic heatmap and sentiment over time

The topic heatmap shows your themes at a glance — hot where customers feel strongly, with the direction (praise or complaint) called out. The sentiment-over-time chart lays the emotional trend against the calendar, so you can tie a dip to a staffing change, a menu swap, or a renovation. Patterns you'd never catch one review at a time jump out.

Top complaints ranked by frequency

ReviewTactic ranks your top complaints by how often they appear, so you fix the thing that's actually costing you — not the loudest one-off. If "wait time" outranks "price" three to one, you know where the next hour of effort goes. Pair it with the negative-review trend to confirm whether a fix is landing.

What is a good sentiment analysis score?

A healthy profile leans strongly positive with complaints concentrated in a small number of addressable themes — not scattered noise. The number matters less than the shape: a high score that's trending down is a warning, a lower score trending up is momentum. ReviewTactic shows both the level and the direction so you read it right.

From sentiment to action

Sentiment is only useful if it changes what you do Monday. ReviewTactic feeds your themes into the Reputation Index and the AI advisor, which turns the top complaint into a prioritized action with a projected score lift. Or just ask: the AI advisor knows your review data, so "why did sentiment dip in March?" gets a plain-language answer, not another chart. Sentiment isn't a chart you admire — it's the start of the fix.

The intelligence layer

This is the read most reputation tools never give you. Sentiment, the topic heatmap and top complaints come standard — not a premium analytics tier — and they connect to competitor data, so you can see whether the wait-time complaint is yours alone or the whole street's. That context is what turns a feeling into a decision.

Themes don't sit in isolation, either — they plug into ReviewTactic's customer-intelligence layer. The same topics are read against who is raising them. ReviewTactic infers each reviewer's nationality, visitor type, and whether they're a local or a tourist, so a value complaint from out-of-towners reads differently from the same words from your regulars. Each reviewer is also segmented — first-timer, regular, critic, power reviewer — with a credibility score, so you can weight the themes that come from voices your future customers will trust.

Proof

Pricing

• Self-serve, pay-per-reply — 5 AI replies free each month, then $0.49 positive / $0.99 negative, no monthly fee (about $18/month at 30 reviews).
• Analytics — $49/month per location — the plan for sentiment trends, topic heatmaps and competitor benchmarking across every platform.
• Done-For-You — $149/month — 100 replies included, fully managed (+$99/month per extra location).
• No contract, no setup fee, cancel anytime.
• Free reputation audit — no signup, about 10 seconds.