quarterly
DailyCompetitive data refresh rate
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EdTech · Competitive Intelligence
2,000+ parameters. 20 competitors. Market changes visible in 2 hours.
An online education company was flying blind between quarterly reports. moat8 built a monitoring system that turns competitor activity into a daily structured feed.
From quarterly
DailyData freshness
From 200
2,000+Parameters tracked
From 45 days
2hReaction time
The Problem
Competitors moved daily. The company found out once a quarter.
The edtech company tracked 20+ competitors manually — pricing changes, new promotions, installment plan updates, course additions. The process took days per cycle and happened once a quarter at best. By the time the data was ready, the market had already shifted. Campaigns launched into outdated intelligence. Pricing decisions were made on memory.
QuarterlyData update frequency
200Parameters monitored
45 daysAverage reaction to market change
What we built
Automated competitive radar. Signals delivered before the day starts.
Competitor catalog setup
20+ competitors mapped across websites, social channels, and ad libraries
Multi-parameter scraping layer
Tracks pricing, discount structures, new products, installment terms, course updates
Change detection engine
Flags deltas between current and previous state — only meaningful changes surface
AI summarization
Converts raw data into structured competitive briefings per category
Scheduled delivery
Daily reports sent to email and messenger before the work day begins
Alert system
Instant notification on high-priority changes — major price drops, new product launches
Results
The numbers after the breakthrough
from 200
2,000+Parameters monitored
45 days
2hReaction time to market change
manual research
~0Analyst hours per cycle
Next step