Most brands know their star rating. Advisor now explains what's behind it. With ratings and reviews integrated, brands receive instant access to the sentiment trends, keyword themes, and competitive context that turn a number into a plan.
Advisor's reviews capability draws on Beacon's full ratings and reviews dataset, which goes well beyond aggregate star counts. Every analysis pulls from multiple layers of structured review data.
- Aspect-level analysis breaks reviews down by specific product dimensions: battery life, assembly ease, durability, packaging, flavor, fit, or any attribute relevant to a given category, and scores the sentiment for each. This is where review analysis moves from directional to diagnostic.
- Volume and rating trends establish the baseline: how many reviews exist across a portfolio, how average ratings have moved week over week, and whether the trajectory is stable or in flux. Advisor evaluates these across rolling windows, which means an indicator like a slow rating decline, the kind that's easy to miss in a dashboard snapshot, gets surfaced before it becomes a problem.
- Sentiment distribution classifies reviews into positive, neutral, and negative categories based on language analysis, not just star ratings. A 3-star review can contain a critical complaint. A 4-star review can carry a meaningful product improvement signal. Advisor reads the text, not just the number.
- Keyword and theme extraction surfaces the vocabulary shoppers use to describe their experience, segmented by sentiment tier. Brands receive a clear picture of which terms appear in praise, which appear in complaints, and which terms are trending in each direction over time.
- Review quality scores weight findings by the credibility and depth of individual reviews, distinguishing verified purchasers from unverified submissions and signaling which signals deserve the most attention.
From data to decisions
Advisor turns this data into answers retail teams can act on. Here’s what brands are asking:
"What is the overarching sentiment of our customer reviews, how are they trending, and what common themes are driving each?"
Advisor synthesizes the full picture — lifetime review volumes, star distributions, sentiment trends, top keywords, aspect breakdowns — into a single structured analysis, complete with visualizations. A question that previously required days of manual work comes back in seconds.
"Which products have the widest gap between their average rating and the category benchmark?"
Because Advisor connects Beacon's brand data to Atlas's competitive intelligence, review scores don't exist in a vacuum. Brands see their performance against the actual competitive landscape, not against an internal baseline.
"Which product attributes are generating the most negative sentiment across our catalog?"
Aspect-level analysis makes this answerable at scale. Advisor aggregates sentiment scores by product dimension across an entire portfolio and returns a ranked view of what's earning praise and what's driving complaints.
"Are there products where review sentiment has deteriorated meaningfully in the last 30 days?"
Review signals frequently surface quality or experience issues weeks before they appear in sales data. Advisor monitors sentiment trajectory continuously and flags products showing early signs of decline, giving teams time to act before the damage reaches the revenue line.
"What percentage of our negative reviews point to logistics or packaging versus the product itself?"
The answer changes everything about how a team responds. An operations problem and a product design problem require completely different fixes. Advisor can separate them.
A different kind of analysis
The integration of ratings and reviews into Advisor represents a meaningful shift in how brands can operate on customer sentiment data.
The analysis Advisor produces in a single conversation is the kind of work that previously required a dedicated analyst, multiple data systems, and significant time.
Brands subscribed to Beacon can ask that question today.
