In today's episode, I talk to Lohit from Growth Engine X about building highly personalized outbound campaigns using Clay and scaling lead generation for B2B SaaS companies.
We dive deep into a case study where they transformed an underperforming e-commerce agency by fixing both their targeting and offer. Lohit shares how they moved from generic "spray and pray" outreach to strategic filtering based on company size (50+ employees), revenue ($1M+ annually), and technology stack (Shopify). He explains their unique "creative ideas" play where they suggest three specific ways to help prospects before asking for a meeting, and discusses adding personal touches like offering phone calls or mentioning nearby restaurants.
Lohit also opens up about his personal journey - from starting a grocery delivery startup in college during COVID, to becoming a freelancer, discovering growth hacking through LinkedIn automation, and eventually joining forces with Eric after battling tuberculosis. We explore the future of AI in outreach, including using it for CRM analysis to identify retargeting opportunities and creating hyper-personalized industry reports at scale.
Enjoy 🙂
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00:00) Introduction to Outbound Wizards
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00:26) What Growth Engine X Does and Business Model
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01:00) Client Base: B2B SaaS Focus
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01:45) E-commerce Agency Case Study: The Problem
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02:15) Fixing the Targeting Strategy
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03:26) Transforming the Offer: From Generic to Value-Driven
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04:51) Most Creative Clay Play: Three Ideas Approach
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06:27) Adding Personal Touches: Phone Calls and Restaurant Meetings
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06:53) Journey into Outbound: From College Startup to Growth Hacking
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08:15) Getting Introduced to Clay and Joining Growth Engine X
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09:28) The Supportive Nature of the Outbound Community
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09:53) What Lohit is Excited About: AI and Scale
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10:29) Future Use Cases: CRM Analysis and Personalized Reports
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12:14) The Lead Hierarchy: Close Lost > Inbound > Outbound
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13:09) Where to Find Lohit Online
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👥
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📧 Email - saurabh@salesrobot.co
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What is The GTM Engineer Podcast?
GTMEs didn't think they would evolve this way. They just kept automating things until it became their whole job. Now the tooling is moving faster than anyone can keep up with, there's no real playbook, and half the advice online is either too vague or written by someone who hasn't actually done it. This podcast is for you if you're in the middle of figuring it out - real workflows, numbers, and mistakes from expert GTMEs at startups, mid-market, and enterprise. If you're wiring up Clay, rethinking your outbound stack, or trying to make AI actually useful in your pipeline, welcome to the The GTM Engineer Podcast.