Jun 5, 2025
How Gembah Amplified Lead Generation by 120 % with Jeeva AI
with Gaurav Bhattacharya, CEO of Jeeva AI
120%
increase in lead generation
2.5×
outbound volume
3×
high-intent replies
“Jeeva lets us scale our outbound motion by 2.5x without slowing down our product development. It’s the kind of tool that quietly drives results in the background, Jeeva fetched us 10+ high intent clients in just a few weeks time.”
Henrik Johansson, CEO of Gembah
Transforming Sales Complexity into Simple, Scalable Results: Gembah’s Journey with Jeeva AI
Executive Summary
Gembah, an Austin-based product-development platform needed to scale outbound without risking compliance or drowning reps in data admin.
By replacing manual workflows with Jeeva AI’s agentic sales assistants, the team:
2.5 × email volume (3 000 → 7 531 sends/mo)
3 × more high-intent replies (≈ 3 → 10 + /mo)
90 % faster campaign setup (days → < 30 min)
100 % automated compliance guardrails
Company Profile
Attribute | Details |
Name | |
Founded | 2018 |
HQ | Austin, TX |
Employees | 70 (full-time) |
Product | End-to-end platform for designing, sourcing & manufacturing consumer goods |
Reach | 2 000 + vetted factories in China, Vietnam, India, Mexico, ASEAN & E. Europe |
Notable Brands | Under Armour, Weber Grills |
Challenges Before Jeeva AI
Pain Point | Impact on Revenue Team |
Regulatory Whack-a-Mole | Changing regional e-mail laws (GDPR, CAN-SPAM, LGPD) forced reps to re-write sequences weekly, risking fines. |
Fragmented Data | Lead research spanned 7 tools; enrichment lag added hours per lead and eroded personalization. |
Template Bottlenecks | One marketer hand-crafted every touch; output capped at 3 000 emails/month—well below TAM coverage. |
Why Jeeva AI
Competitive scans showed that tools like ZoomInfo Copilot still required bolt-on senders, and Outreach Kaia acted more as a call copilot than a full funnel engine warmly.aioutreach.io.
Gembah chose Jeeva AI for three differentiators:
Full-funnel autonomy (prospect → enrich → sequence → follow-up)
Usage-based pricing—no seat limits inhibited scale
SOC 2 Type 2 + live redaction for bullet-proof compliance
Solution Deployment
Phase | Activities | Timeline |
Kick-off (Week 0) | Mapped ICP prompts; synced HubSpot ownership fields | 2 hours |
Enablement (Week 1) | Imported 12 prompt-library guardrails; ran sandbox tests | 1 day |
Go-Live (Week 2) | Activated three regional playbooks (US, EU, APAC) | 30 min/playbook |
Optimization (Weeks 3-4) | A/B tested subject-line variants via Jeeva’s GPT-scoreboard | Continuous |
Use-Case Deep Dive
Real-Time Compliance Automation
Jeeva detects jurisdiction from email domain + location signals, then auto-injects local opt-out clauses and throttles cadence to legal send limits.
Result: Zero compliance tickets; legal review time fell from 5 h/wk to 0.
Instant Lead Enrichment
130 + data streams (Clearbit, PDL, technographic APIs) populate title, tech-stack, and funding within < 5 s of list upload.
Result: Research time dropped 88 %; personalization tokens boosted open-rate to 47 %.
Autogenerated, Persona-Tuned Copy
LLM templates pull pain points by role (Ops vs Founder) and adjust tone. Reps can one-click regenerate or approve.
Result: Reply rate climbed from 0.1 % (benchmark in similar Apollo bulk emails reddit.com) to 0.4 %—a 4× lift.
Quantified Impact (4-Week Window)
Metric | Baseline | After Jeeva AI | Delta |
Emails Sent | 3 000/mo | 7 531/mo | +151 % |
Positive Replies | ≈ 3/mo | 10 + /mo | +233 % |
Lead Enrichment Time | 2 h/lead | Instant | – 100 % |
Campaign Setup | 2-3 days | < 30 min | – 90 % |
Compliance Incidents | 1 audit finding/qtr | 0 | Eliminated |
What Changed, At a Glance
Area | Before Jeeva | After Jeeva |
Compliance | Manual, retroactive | Automated, proactive |
Data Quality | Scattered CSVs | Live, enriched CRM sync |
Outreach | Generic, hand-written | AI-personalized & scalable |
Rep Focus | Data cleanup | Relationship building |
Expansion to LinkedIn Voice Drops (beta) for warm follow-ups
Intent-based playbooks triggered by site visits & webinar attendance
Quarterly governance check-ins to maintain SOC 2 posture
Conclusion
By embedding Jeeva AI at the heart of its outbound engine, Gembah transformed compliance headaches and data sprawl into a streamlined, high-yield motion.
The result: faster market penetration, richer conversations, and a pipeline that scales without extra headcount, precisely the competitive edge today’s product innovators need.
Company name
Industry
Software / Product Development
Headquarters
Austin, TX, USA
About Company
Gembah is a product development platform that helps companies design, source, and manufacture consumer products through a unified, tech-enabled supply chain ecosystem.
Tools Used
AI Lead Qualification
Compliance & Campaign Guardrails
AI Outbound Agent
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