From 142 leads a day — the right 47 qualified.
Sales started every morning with an Excel list from inbound forms, LinkedIn and referrals. 142 leads a day. Nobody had time to check each one. The hot leads slipped through.
- Year
- 2026
- Industry
- B2B SaaS
- Stack
- LangChain · HubSpot · Slack
- Duration
- 3 weeks
- Status
- Live · production
The client — a B2B SaaS mid-sized company — collected ~142 inbound leads a day from 6 sources. Manual qualification took ~23 min per lead. Result: only 30% of leads were contacted at all, half of them too late.
- 142 leads/day from web form · LinkedIn · referral · webinar · demo request
- 23 min avg qualification time per lead → 54 h/week just for triage
- 30% contact rate, 50% of those > 24 h after arrival (lead cold)
- €220K estimated lost revenue per quarter from lost hot leads
Sales Agent · lead pipeline
Ø Zeit-Ersparnis
Avg. 22.5 min saved per lead
Sechs harte Zahlen. Aus den Live-Dashboards des Kunden, gemessen über die ersten Monate nach Go-Live. Kein Marketing-Number-Massaging — Roh-Output aus dem Agent-Log.
hot leads/day qualified
of 142 inbound
avg. end-to-end time
lead → Slack ping
contact rate in < 1 h
was 15%
win rate
hot leads vs. mixed before
won revenue / quarter
conservative attribution
sales time saved / week
for real sales conversations
We didn’t solve a “lead volume” problem — we had enough leads. We had an attention problem. RSG built an agent that filters exactly the right 30% out of inbound. My team is back on the phone instead of sorting Excel lists.