Rahul Bageria

I help early-stage B2B founders find who buys, and build the systems to reach them

Paris, FranceLinkedIn

I've spent most of my career as the first business hire at early-stage startups, the person who works out who actually buys the product and how to reach them before any playbook exists. I did that at Palm.ai, Boolee and Cef.ai, after starting out in strategy at AWS and Accenture. Along the way I realised the part I love most is building the systems behind growth, so I co-founded realgoodgtm.com to do exactly that. Now I work with founders from the very first question, who is this really for, all the way to a pipeline that moves, and I build the engine underneath it in Clay. I'm a Clay-certified inbound and outbound expert who also builds paid ads audiences. Always happy to chat about where your growth is stuck: https://cal.com/real-good-gtm-uhj15v/fit-check

2Clay certificationsFrom Clay

Work

Reviewed inside a cohort where it says so. Numbers are the student's.

Case study

Outbound Automation

Signal-based outbound that only spends on accounts worth working

Picks US security buyers with a real reason to talk now, writes a first email from verified facts, and delivers each account once. Customers and opt-outs stop before any credits are spent. Tradeoff: AI-written emails only for top-tier accounts; the rest get a template.

Case study

Automated Inbound

Inbound routing that gets every request to the right owner in under a minute

Checks the CRM before any spend, scores fit and intent separately, and routes sales, support and customers to the right person with a fact-checked reply draft. Time to owner fell from a 9-hour median to under a minute. Tradeoff: AI drafts only for the strongest requests; everyone else gets a checked template.

Case study

Paid Ads Real Good GTM audience

LinkedIn audience enrichment that lifted the match rate on the same 466 people

Takes a real list of security decision makers, adds verified personal emails only where they're missing, and syncs the same people to LinkedIn again. The match rate went from 30.5% to 45.3%. Tradeoff: I dropped a provider that matched more people, because its emails were guesses that could match the wrong person.

Skill map

3 Clay use cases proven. Tap or hover one to see the proof and what it is built from.

Proof levelsCertified by ClayVerified workShared, in review

Phase 1

Crawl

Clean, scored data you can trust

0 proven

Phase 2

Walk

Automations that run without you

2 proven

Phase 3

Run

Signals and reps working the same system

1 proven

Grow pipeline

Outreach volume, reply rate and speed to lead

Walk

Run

Building blocks

20 proven. The Clay skills every use case is made of. Tap or hover a use case to see its recipe.

Sourcing3Where records come from

Enrichment4What you learn about them

Logic7What you decide

Activation3Where the decision lands

Operate3Why it keeps working

Credentials

Issued by Clay. Anyone can verify the ID.

Automated Inbound

A real build, a walkthrough and an interview, reviewed by Clay

Oct 2026 · CC-SK-1625904AVerify

Outbound Automation

A real build, a walkthrough and an interview, reviewed by Clay

Oct 2026 · CC-SK-E8769B11Verify

Badges

1 of 12 earned

Clay Certified

Passed a build and its interview

Oct 2026

Teams I've built for

Real good gtm

Cere

Skills

Levels come from graded work and certifications, not self-report

Automated InboundExpert

Outbound AutomationExpert

Journey

Earned the Automated Inbound

Certification

Oct 2026

Earned the Outbound Automation

Certification

Oct 2026

What people say

“Rahul quickly understood the AI talent profile we needed, found the right signals, and turned outreach into a strong, repeatable candidate pipeline.”

Valeryia VeselovaChief of Staff @ Cef.ai

“Rahul helped us take our accounting practice international, from market selection and ICP planning to executing a multi-channel campaign that brought in our first outsourced accounting clients.”

Abhay BhagatPartner @ BSA & Company