ReviewRadar
Cross-platform review intelligence.
ReviewRadar pulls every public review and mention across the platforms your customers shop on. It clusters them by theme, scores sentiment by revenue-weight (a 1-star on a flagship SKU matters more than 1-star on a tail SKU), and surfaces the exact phrases that move conversion when you mirror them in PDP copy.
What it does
Five capabilities. One verified pipeline.
Cross-platform aggregation
Amazon, Trustpilot, Google, Reddit, niche forums. One feed, no platform switching.
Theme clustering
Reviews grouped by what they actually say — fit, shipping, smell, durability — not by star rating alone.
Revenue-weighted prioritization
A 1-star on a $200 hero SKU is escalated; a 1-star on a $9 add-on is queued. Response time goes to where it matters.
PDP copy mining
The exact phrases positive reviewers use, ranked by frequency. Drop them into your PDP. Watch CR move.
Verification Link on every cluster
Every theme cluster links to the underlying reviews — original platform, date, reviewer handle, sentiment score.
Setup
Live in three steps.
Tell us your SKUs
Or paste product URLs across the platforms. We map handles automatically.
We aggregate and cluster
Full history backfilled in 24 hours. Real-time after that. Themes update weekly.
You ship the response queue
Reviews ranked by revenue impact. Templates suggested. PDP copy mining ready in one click.
Sample insight
What an alert actually looks like.
Every alert ships with its Verification Link — the exact source snippet, URL, and timestamp we scraped it from.
12% of 3-star reviews on your hero SKU mention 'sizing runs small' — none of your PDPs mention sizing.
ReviewRadar projects a 2.3-point CR lift if you add a sizing guidance line to the top of the PDP, based on the conversion delta we measured on three competitor PDPs that already do this.
221 of 1,847 reviews (12.0%) contain the n-gram "runs small" or "size up". 3-star average sentiment.- Re-scrape on demand
- Export for procurement audit
- Route to Slack with one click
Other modules
Pair ReviewRadar with —
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Scrape competitor ads across Meta, TikTok, and Google. Rank creatives by spend velocity, hook patterns, and the offer hierarchy that's actually working this week.
Map the full checkout flow of every competitor — friction points, upsells, payment options, abandonment recovery — and benchmark yours against the category leaders.