Sysdig was drowning in 2,500 leads a month. The pipeline wasn’t keeping up.

Sysdig

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 monththrough Marketo and Salesforce. They weren’t short on leads. They were drowning in them.

The Opportunity

The leads were coming in. The pipeline wasn’t keeping pace.

Sysdig’s demand gen team was hitting its numbers: 2,500+ leads per month from events, syndication, webinars, and inbound. But leads were dying between capture and action.

• Event leads from Tokyo and Las Vegas sat in spreadsheets for days.
• Hot inbound leads queued up while ops manually screened and routed them.
• Email campaign replies with clear buying signals went unmonitored.
• Content syndication batches piled up while the next campaign was already launching.

The numbers made the damage concrete. Inbound speed-to-lead averaged 15 minutes. Lead-to-account match rate sat at 60%, meaning four out of ten leads went to the wrong rep or no rep at all. And lead-to-opportunity conversion across that raw lead volume was only 1.21%.

At a $40K average deal size, every 1% of conversion rate left on the table represented roughly $1M in monthly pipeline. They weren’t losing leads. They were losing revenue.

What Changed

The team did not need more leads. It needed the existing ones handled properly.

Instead of letting event files, inbound forms, and content syndication leads age in separate queues, Sysdig tightened the operational path between intake, cleanup, enrichment, screening, matching, and routing.

Duplicates, junk, competitors, students, and existing customers were filtered out. The remaining leads were enriched and checked for fit before sales saw them. Matching quality improved from 60% to 68%, which translated into roughly 200 more leads per month landing with the right account context. Inbound leads were enriched, matched, and assigned in 42 seconds instead of 15 minutes.

That change mattered because it let reps work warm leads while intent was still present, instead of reacting after the moment had passed.

Show the Math

The financial result came from a better operational conversion system, not from higher lead volume.

Lead-to-opportunity conversion improved from 1.21% to 2.47%, which added 19 SQLs per month and represented roughly $760K in additional monthly pipeline. Better lead-to-account matching unlocked another $200K in pipeline by improving routing quality and preserving account context. Combined with the speed-to-lead improvement, the result was $910K in recovered pipeline in the first 30 days.

Team Impact

For marketers, that meant less time lost to imports, cleanup, and manual operational work. For ops, it returned 15 to 20 hours a week that could be spent on architecture, attribution, and stack optimization. For reps, it meant receiving enriched, qualified, account-matched leads while the prospect was still warm enough to convert.