Category and market research from customer reviews
Roketfy VoC AI turns real consumer reviews of bestselling products into a living map of your category. It helps strategy, marketing, and product teams move from "What's selling?" to "Why is it selling, which story is gaining ground, and where is the market gap?"
Market & Trend Intelligence (Sample)
In this category, users want strong results but dislike the heavy feel the formula leaves on skin. That's a clear opening for lightweight, fast-absorbing formulas.
Drill Down From Category to Individual Product
Knowing overall category sentiment isn't enough. To set strategy, you need to drill down from the top of the category to the details of a single product.
Category Level
See core consumer expectations, shared pain points, and category-wide experience trends at a glance.
Subcategory
Isolate the use cases and complaints within a narrower segment, such as drip coffee makers.
Brand Benchmarking
Compare what customers love about leading brands and where their product promises fall short.
Product (SKU) Analysis
Pick any product from the top 100 bestsellers and drill down to packaging, performance, scent, or texture signals.
Understand why consumers buy a product, or pass on it.
"Good" or "bad" doesn't tell you much. To explain why a product wins, AI breaks large review volumes down into physical and emotional experience themes.
Texture, ease of use, performance, packaging quality: see which experiences drive preference in your category and which leave room to improve.
Sensory Experience
Measure how a product feels and the reactions it triggers: scent, texture, absorption speed, and taste.
Performance and Results
Capture product lifespan, cleaning power, motor performance, and whether the promised results actually deliver.
Ergonomics and Packaging
Isolate recurring issues with cap design, bottle quality, ease of use, and storage.
Value Perception
See how consumers judge value for money, and in which situations they think the product is worth it.
Rising Concepts
Spot the needs, ingredients, use cases, and consumer language that are gaining attention, early.
Anomalies and Negative Signals
Catch unusual spikes and risk signals around a specific subcategory, product, or experience theme.
Competitor Review Analysis and Product Claim Testing
Which claims give consumers a real reason to buy? Which promises, like "stain-resistant" or "ultra-quiet," fall apart in real use? See unmet expectations and how consumers naturally compare brands.
Claim and Ingredient Resonance
Comparisons in Consumers' Own Words
Consumers compare products on their own. Read, in their words, which features win them over and which need work.
"Brand A's water tank is bigger, but Brand B's (your product) steam smooths out wrinkles much faster."
"The coverage is amazing and it doesn't feel cakey like other popular brands, but unfortunately the shade range is really limited."
Across the selected reviews of bestselling products:
"Texture and absorption speed" comes up repeatedly alongside the wrinkle-reduction claim. A sticky feel on skin and pilling under makeup are among the most-mentioned areas for improvement.
Ask your category questions. Get strategic answers.
Skip the complex tables. Ask AI the strategic questions you have about your category, in plain language.
- "What's the most complained-about feature in the leading brand's new line?"
- "Will consumers accept weaker performance in exchange for a 'natural ingredients' claim?"
- "Are packaging-related complaints spiking this month?"
Map Your Category's Next Move
Listen to your entire category, not just your brand. Catch rising market trends, find gaps in the product experience, and back your next product launch with data.