How Hemsworth generated $2.5M in revenue using Updately's intent scoring and LinkedIn outreach
Vineet Jain
CEO, Hemsworth
“Updately's intent scoring completely transformed our outbound motion. We stopped chasing keywords and started closing real buyers. The ROI has been phenomenal.”
Vineet Jain
CEO, Hemsworth
How Updately identified high-intent buyers for Hemsworth
Updately's AI continuously monitored these buying signals on LinkedIn to surface the right prospects at the right moment.
Competitor Mentions
Prospects engaging with or commenting on competitor posts on LinkedIn — indicating active evaluation of solutions.
Job Change Signals
Decision-makers moving into VP/Director roles at target accounts — a prime window for new vendor evaluation.
Content Engagement
Prospects liking, commenting on, or sharing posts about digital transformation and enterprise tooling.
Company Growth Signals
Target companies posting about expansion, hiring SDR teams, or announcing new funding rounds.
Profile View Patterns
Prospects viewing Hemsworth team members' profiles multiple times — showing direct interest.
Hemsworth had a world-class enterprise platform but was struggling to identify the right buyers at the right time. Their SDR team was spending hours manually scanning LinkedIn for prospects, sending generic connection requests that went ignored. Reply rates were stuck at 3-4%, and the team was burning out from the volume of unqualified outreach. They needed a way to focus their energy on prospects who were actually in-market — not just people with the right job title.
Updately's signal detection engine changed everything for Hemsworth. Instead of cold-targeting by job title, they configured Updately to monitor high-intent signals across LinkedIn: prospects engaging with competitor content, commenting on posts about pain points Hemsworth solves, changing roles into buying positions, and companies posting about digital transformation initiatives. When a signal fired, Updately's AI automatically researched the prospect's recent activity, company news, and tech stack — then crafted a hyper-personalized LinkedIn message referencing the exact signal that triggered the outreach. The result was outreach that felt like a warm introduction, not a cold pitch.
From signal to closed deal — a real example
Here's exactly how Updately turned a LinkedIn buying signal into revenue for Hemsworth.
Signal Detection
Updately detected a VP of Operations at a Fortune 500 company commenting on a competitor's LinkedIn post about workflow automation challenges.
AI Deep Research
Analyzed the prospect's last 30 days of LinkedIn activity, company earnings calls mentioning 'operational efficiency', and recent tech stack changes.
Personalized Connection Request
Sent a connection request referencing the prospect's recent post about scaling operations challenges — not a single product mention.
Value-First Message
Followed up with a message sharing a relevant case study about how a similar company solved the exact challenge they posted about.
Deal Closed
The demo led to a pilot program, which converted to a $180K annual contract within 6 weeks.
Generated $2.5M in closed-won revenue within 3 months of deployment
Reply rates surged from 3-4% to 38% across all campaigns
85% of booked meetings came from signal-triggered outreach
Reduced SDR prospecting time by 70% — team focused on closing
Average deal size increased 60% due to better-qualified conversations
Identified 12 enterprise accounts through competitor-mention signals alone
Ready to see similar results?
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