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Case Study: Lovable booked 50% more qualified meetings per rep with Clay
Lovable Case StudySourced & dated by Case Study Desk
Key results
The challenge
Lovable, one of the fastest-growing software companies, needed to test and scale go-to-market experiments quickly as its platform grew.
The solution
Lovable used Clay to test new plays at small scale, validate what worked, and scale the winners, frontloading enriched context into outreach.
“You can test something new at a small scale, validate what works, then scale it as big as you want.”
LWLudvig WidmarkAI Ops Engineer, Lovable
The results, in context
Lovable achieved +50% more qualified meetings per rep and compressed the time from first outreach to offer by roughly 3-4x by frontloading enriched context.
Products used
Clay Clay