A keyword match only tells you a post mentions your space. Scoring tells you whether the person behind it is actually a buyer. Every match gets a 1 to 10 score with a one-line reason. A glance tells you what is a real buyer and what is just chatter.
You describe a good lead one time. After that, every matched post is read the way your best rep would read it, and you see the reasoning behind each score.
Tell Scrada what you sell and who your ideal customer is. Product, market, team size, the signals that matter. You do this once. It sits in your profile and feeds every score after that.
The moment a post matches your keywords, Our AI scores it on two things: buyer intent and fit to your ideal customer. It runs automatically on every new match. No queue, no manual triage.
No black box. Each score comes with a short, plain reason. Why it fits, what signals it caught, when to reply. You can check the call in seconds and decide for yourself.
The score is not a vanity number. It changes how your team works the feed every day.
Most teams only review matches scored 7 and up. Filter to those and you skip the off-topic posts, the venting, and the wrong-fit chatter. That is roughly nine out of ten matches you would have read by hand.
On Reddit, the first helpful reply wins. When the high-intent posts rise to the top with a reason and a suggested reply window, your team gets there before the thread fills with competitors.
Scoring runs the instant a post matches, day or night. A 9/10 buyer at 2am does not sit in an unread queue. It is flagged, scored, and waiting when you are.
Set your context once and let scoring surface the buyers hiding in your keyword matches.