Sysdig is the leader in cloud security powered by runtime insights, protecting 700+ enterprises — including some of the largest financial institutions, government agencies, and technology companies in the world. Built on open source Falco (used by 60%+ of the Fortune 500), the company has raised over $350M in funding and runs a global go-to-market engine pushing 2,500+ raw leads per month through Marketo and Salesforce. They weren’t short on leads. They were drowning in them.
Sysdig’s demand gen team was hitting their numbers. 2,500+ leads per month from events, syndication, webinars, and inbound. But leads were dying between capture and action.
The numbers made the damage concrete: 15-minute average speed-to-lead on inbound — by the time reps called, the conversation was cold. 60% lead-to-account match rate — four out of ten leads went to the wrong rep or no rep at all. And a 1.21% lead-to-opportunity conversion across all those raw leads.
At $40K average deal size, every 1% of conversion rate left on the table represented ~$1M in monthly pipeline. They weren’t losing leads. They were losing revenue.
allGood’s AI Pipeline Manager, Mary, works inside your existing stack — Marketo, Salesforce, your enrichment tools — and owns the complete lead-to-pipeline workflow. Not a platform you operate. A dedicated AI team member that does the work, 24/7, with no throughput ceiling.
Field events in Tokyo. Trade shows in Las Vegas. Content syndication lists. Webinars. Website forms. Mary ingested them all — no more leads aging in spreadsheets while ops catches up.
Junk leads, duplicates, competitors, students, existing customers — gone. Mary scrubbed every record, enriched survivors with firmographic data, and screened against Sysdig’s ICP criteria. Reps only saw pipeline-ready opportunities.
Sysdig’s rules-based matching ran at 60% accuracy. Mary brought it to 68% by cross-referencing domain variations, parent-subsidiary relationships, and fuzzy company name matches. That 8-point jump meant 200 additional leads per month properly matched to accounts.
From form submission to Salesforce assignment in 42 seconds. Fully enriched. Matched to the right account. 95% of inbound leads routed in under a minute — reps were calling leads that were still warm.
Sysdig didn’t generate a single new lead. They didn’t increase ad spend. They took the leads they were already paying for — and made sure those leads actually reached a rep who could work them.
$760K/mo — Conversion lift: lead-to-opp doubled from 1.21% to 2.47%, adding 19 SQLs/month
$200K/mo — Match rate improvement: 200 additional leads/month routed correctly
42s speed — Force multiplier: amplified both conversion and match rate gains
Marketers stopped wrestling with list imports and started writing better emails and designing better landing pages — the work they were hired for.
Ops got back 15-20 hours a week, redirected to system architecture, attribution modeling, and tech stack optimization.
Reps stopped getting cold leads with missing context and started getting enriched, ICP-qualified opportunities within 42 seconds.
Sysdig’s effective pipeline-per-lead nearly doubled. Same 2,500 monthly leads. Same programs. Same budget. Roughly double the pipeline output. That’s a direct multiplier on every program in your portfolio.
Rich walks through the full pipeline recovery playbook — the before-state, the implementation, and the math behind $910K in recovered pipeline — in his MarketingOps.com webinar presentation.
Sysdig saw $910K in pipeline impact in the first 30 days. What would that look like for your team?
Sysdig didn't generate a single new lead. They didn't increase ad spend. They took the leads they were already paying for — and made sure those leads actually reached a rep who could work them.
If you own pipeline targets, here's the number that should stop you: Sysdig's effective pipeline-per-lead nearly doubled. Same 2,500 monthly leads. Same programs. Same budget. Roughly double the pipeline output. That's a direct multiplier on every program in your portfolio.