Superhuman scales marketing and support operations with Zapier automation
Superhuman's marketing team manually synced leads from LinkedIn with errors and handled opt-out requests tediously, while the small support team lost hours to copy-pasting between tools and manually logging dev escalations.
Automation cut lead sync errors by 87% and improved plan efficiency by 31%; each support agent now saves an hour a day, reclaiming six hours of daily productivity across the team, while Superhuman maintains over 90% CSAT.
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Frequently asked questions
What did this team achieve with this AI workflow?
Automation cut lead sync errors by 87% and improved plan efficiency by 31%; each support agent now saves an hour a day, reclaiming six hours of daily productivity across the team, while Superhuman maintains over 90% C…
What tools did this team use?
Zapier, LinkedIn, Intercom.
What results were reported?
Lead sync errors: 87%; Plan efficiency: 31%; Support agent time saved per day: an hour a day; Daily productivity reclaimed across team: six hours (source-reported, not independently verified).
How is this lead processing AI workflow structured?
Lead arrives from platform → Data enrichment and routing → Opt-out detection and processing → Support agent tags conversation → Dev escalation and notification.