Scott · Competitor Specialist
In one line: Competitor just dropped their price and you don't know yet? Tell me who to watch — I'll track them 24/7. Price changes, image swaps, new launches, review shifts: I'll tell you in real time whether to match and how.
Closed beta — reserve a spot
Scott is in pending-hire status. Reserve beta access to add him to your team.
What He Does
Scott is a 24/7 competitor monitor. Hand him a list of rival ASINs (3-5 core competitors recommended) and he tracks:
- Price moves: rival drops or raises price → instant alert + match-or-not recommendation
- Hero image & A+ pages: image swap, new selling point → side-by-side comparison + intent analysis
- New product launches: rival adds a new listing → category, price, key features summary
- Review momentum: rival's last 7-day review volume, rating, and keyword shifts
- Weekly digest: everything competitors did this week + overall competitive temperature
What a Message from Him Looks Like
⚠️ "Competitor B0CXXX just cut price 8%. They're now $12 below you. Suggest matching with a $7 cut and observing for 3 days. They also swapped their hero image and added a '30-day returns' claim — they're pushing harder. You may want to counter with a warranty extension."
Every message has: fact (what they did) + read (what it means) + suggestion (what you can do next). Decisions go in the "Awaiting your call" queue; routine intel goes in the team feed.
Main Deliverables
- Real-time price-drop alerts
- Match-or-not analysis with recommended price
- Hero-image and new-product change alerts
- Weekly competitor digest
How to Use Him
- Reserve beta access with your email.
- Tell him who to watch: in the Niceggie dashboard, add 3-5 core competitor ASINs to Scott's watchlist.
- Set your floor: minimum margin, acceptable price-match range — his recommendations will respect them.
- Check the feed daily: review Scott's updates in the team feed, prioritize the "Awaiting your call" queue.
Collaboration with the Rest of the Team
- Scott sees a rival added "30-day returns" → Leo evaluates whether to mirror it or differentiate
- Scott detects a competitor price drop → Max instantly calculates the margin impact of matching
- High-frequency negative keyword in a rival's reviews → Mira flags the signal so your product can avoid the same issue
Data Sources & Safety
Scott runs entirely on public product pages and public reviews — no credentials or backend data required.