Kiba grew ARR by 133% in eight months with a fully automated outbound system
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.
How we got there
Define the ICP and signals
Encoded Kiba's ideal customer profile and the funding and hiring signals that indicate buying intent.
Build sourcing and personalisation
Connected LinkedIn, Crunchbase, and news sources to a GPT-4 sequencing engine.
Wire up CRM and scale
Synced every stage to the CRM in real time, then scaled daily volume from 25 to 250 prospects.
Results
Outreach scaled from 25 to 250 prospects per day. Sales team time on calls increased from 20% to 75%. Kiba grew ARR by 133% over eight months. Two new enterprise accounts 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
Services used in this engagement
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