Promotional response is reactive and slow
By the time your team notices a competitor promo, the lost revenue is already booked. Manual scanning doesn't catch the long tail.
- Competitor promos discovered after demand has shifted
- No structured promo log to learn from
- Defensive responses crafted ad-hoc, not against a playbook
- Hard to tell a flash sale from a structural cut
How the Promo Watcher works
A scheduled AI agent that detects new promotional activity, classifies it, and recommends a measured response.
Promo detection
Picks up flash sales, percentage discounts, BOGO, free shipping thresholds, bundle promos.
Discount-depth classification
Distinguishes a 5% nudge from a 25% liquidation event.
Response playbook
Recommends match, partial match, hold, or ignore — based on your strategy and historical results.
Key Benefits
Catch promo activity in hours, not days
Replace ad-hoc Slack threads with a structured response feed
Stop matching promos that don't actually threaten you
Frequently Asked Questions
How does it know when a promo is real?
It combines crawled price/copy signals with historical baselines, so a recurring sale is recognised differently from a one-off.
Will it respect my MAP rules?
Yes. Any suggested counter-move respects your MAP, margin guardrails, and revenue-positive guard.