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Sales Automation

Kiba scaled from $1.2M to $2.8M ARR in eight months with a fully automated outbound system

133%ARR growth
10× scaleDaily outreach
75%Time on calls
2Enterprise accounts sourced

The challenge

Kiba was doing everything manually: LinkedIn prospecting, email research, personalisation, sending, follow-ups, CRM updates. Their two-person sales team could reach 25 prospects per day and spent less than 20% of their time in actual sales conversations. Revenue growth had flatlined at under 5% quarter-on-quarter.

What we built

We built a fully automated outbound pipeline. An AI sourcing agent runs nightly, pulling company and contact data from LinkedIn, Crunchbase, and industry directories based on Kiba's ICP. A scoring model ranks leads by fit and intent signals. GPT-4 generates personalised email sequences using each company's recent news, funding status, and job postings. Sequences execute automatically; CRM records update in real time at every stage.

Results

Outreach scaled from 25 to 250 prospects per day. Sales team time on calls increased from 20% to 75%. Kiba grew from $1.2M to $2.8M ARR over eight months, a 133% increase. Two new enterprise accounts, each above $180K ARR, were sourced entirely by the automated pipeline.

We did not hire a single salesperson. The system found our two biggest enterprise accounts. I would not have believed it if I hadn't watched it happen.
CEO, Kiba

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