Building an always-on SDR system for
a stalled demo pipeline

SDRs spent 80% of their time on lead research, email drafting, and scheduling. Demo volume sat at 2 per week, well below the 10–15 per SDR per month typical for mid-market SaaS. Without intent data, only 25% of demos converted to sales-qualified opportunities, against an industry average of 38%.

Pipeline depended on individual reps rather than a system. Vacations and turnover caused visible dips in forecast, and disconnected tools across Salesforce, HubSpot, and LinkedIn meant no one had a real-time view of what was actually happening in the pipeline.

We built a lead scoring model on real-time intent signals, firmographic data, and enriched third-party sources, ranking every lead against BANT criteria and syncing scores directly into Salesforce and HubSpot. Reps stopped triaging cold lists and started working leads that were already qualified.

On top of that, we deployed an always-on scheduling layer that qualified and routed leads automatically, cutting the time from inbound interest to booked demo from 24 hours to under 10 minutes. A separate monitoring system tracked buying signals across 5,000+ sources to flag warm accounts before a rep ever reached out.

Within six months, weekly demo volume grew from 2 to 16, an 8X increase. SDR manual task time dropped from 32 hours to 4.8 hours per week, and meeting-to-opportunity conversion rose from 25% to 35%.

Pipeline held steady through a two-week vacation period that previously would have caused a visible dip, improving forecast accuracy by 25%. Email response rates reached 15%, above the 10–12% typical for cold outreach, and the system absorbed a 3X increase in lead volume without added headcount.