Akshun Dogra × Arvana | hire.akshundogra.com/arvana

Future GTM needs systems —
outbound needs signals.

Arvana is redefining B2B outbound by replacing manual manpower with intelligent systems for over 200 tech leaders like FreeNow, Swisscom, SmapOne, Telli, and Ivy. But as DACH B2B tech companies scale past €5M ARR, maintaining pipeline momentum requires continuous signal intelligence and custom AI workflows.

My background in building intent-signal engines with Clay, Claude Code, and n8n aligns directly with your mission to scale ARR efficiently. I build automated disqualification crawlers, intent-signal pipelines (funding, job changes, web visits), and native CRM lead scoring so your team gets 80%+ warm, pre-qualified accounts — establishing Arvana as DACH's GTM benchmark.

Part marketer,
part engineer.

I don't fit neatly in one box — and that's the point. I design systems that connect data to revenue across paid, organic, automation, and full-funnel GTM intelligence.

📈

Performance Marketing

End-to-end paid media across Google, Meta, and LinkedIn. 36x+ ROAS, $50K+ monthly budgets managed. Demand creation and capture in one unified funnel.

At Ingestro & Theo — cut CPC 20%, raised CTR 30%, and recovered €32.7k in suppressed conversion value & ad waste.

Google Ads

Meta Ads

LinkedIn Ads

A/B Testing

Full-funnel architecture

Demand Creation LinkedIn · Meta

↓

Demand Capture Google Search

↓

Retargeting Display · Social

36x+ Peak ROAS achieved

⚡

Marketing Automation

Full pipelines from intent signal to outreach with human-in-the-loop gates. −80% manual SDR effort. Built on Make, Clay, Apollo, Lemlist.

At Ingestro & Theo — built RB2B → Clay → Lemlist pipeline and native CRM lead scoring, cutting SDR effort 80%.

Make

Clay

Apollo

Lemlist

HubSpot

Intent signal pipeline

🌐

RB2B

Visitor ID

→

🔗

Apollo

Enrich

→

Make

Route

→

🧱

Clay

ICP Score

HIGH

📧 Lemlist

MID

💬 SDR Review

LOW

🗑 Discard

−80% Manual SDR effort saved

Most relevant for Arvana

🎯

GTM Signal Intelligence

Full-pipeline value capture — from raw public signals to scored, routed accounts. I built an autonomous research agent that turns funding, hiring, ad-presence, and tech-stack signals into a live fit score before a single outbound message goes out.

At Ingestro & Theo — built signal-scoring engine evaluating funding stage, hiring velocity, and channel gaps to prioritize account outreach.

Signal Scoring

Fit Tiering

Evidence Routing

Autonomous Research

Signal-to-pipeline engine

🌐

Scraper

6 Modules

→

💼

Signals

Jobs & Stack

→

🎯

Score Engine

0–100 Score

→

⚡

ABM Page

Auto-Publish

HIGH (80+)

⚡ Auto-Publish & AE Route

MID (55-79)

💬 SDR Approval Review

LOW (<55)

⏳ Nurture / Hold

100% Signal-traceable, zero guesswork

🔍

SEO & GEO

Technical SEO, schema markup, and LLM/GEO visibility strategy. 400% organic growth. Early practitioner of Generative Engine Optimisation.

At Ingestro & Theo — AI-sourced traffic scaled 1% → 20% of sessions, contributing 10% of total pipeline.

SEMrush

GA4

Schema

GEO

Python

LLM visibility strategy

📐

Dynamic Schema

Per-page structured data, LLM-readable

🔎

Prompt Tracking

Peec AI + Search Console gaps

💬

Community Signals

Reddit + LinkedIn citations

⭐

Authority Profiles

G2 + Crunchbase optimised

400% Organic traffic growth

💻

Technical Marketing

Webflow builds, GTM, conversion tracking, and ABM page generation at scale. I build and measure without needing a dev team.

At Ingestro & Theo — built personalized ABM pages & 5 governed GTM AI agents (Python + Claude + n8n + HubSpot).

Webflow

GTM

HTML/CSS

Tracking & measurement stack

Webflow

HTML/CSS/JS

↓ events fire

Google Tag Manager Central hub

↓ distributes to

GA4

FB Pixel

Google Ads

0 Dev team needed

What I'd do in the
first 90 days

I reduced manual SDR effort by 80% by building an intent-signal pipeline connecting RB2B, Apollo, Make, Clay, and Lemlist — and built personalised ABM landing pages at scale using Make, Clay, and Webflow. For Arvana, that means automating account qualification, signal scoring, and Claude Code sequence generation across 200+ B2B tech clients without scaling headcount.

Deploy Clay & Intent-Signal Outbound Engine — Build and optimize scalable outbound systems connecting intent, funding, job changes, and web visit signals via Clay and Apollo into hyper-personalized outreach sequences.
Success test: 80%+ warm, pre-qualified accounts delivered directly to sales reps for Arvana's client portfolio.

Develop Autonomous AI Stacks with Claude Code — Engineer internal GTM AI tools using Claude Code to automate prospect research, sequence creation, and data enrichment. Drive our AI stack from idea to production deployment.
Success test: SDR research time reduced by 80% with zero manual list building.

Launch Signal-Triggered Outbound & Demo-Prep Workflows — Two connected workflows: qualified outbound accounts enter a concise, signal-led sequence; when a prospect books a demo, an automation enriches the record and sends the assigned AE a Slack meeting brief before the call.

Day 1 – Email: relevant signal observation + tailored angle
Day 3 – LinkedIn: connection note referencing the same context
Day 6 – Email: offer a free AI-native GTM audit / report
Day 10 – Email: practical follow-up or case-study angle
Day 14 – Break-up note

Success test: meetings per AE hour outperform the current cold-list baseline.

💡 ROI Business Case · Pilot Benchmark

Pilot target: 80 sales-ready accounts per month, measured against meeting rate, AE acceptance rate, and research time saved per qualified account. If AEs convert 8% of cold outbound vs. 30% of warm, pre-qualified accounts, signal-led native scoring pays for itself in week one.

I already did some
homework.

Here is an audit of Arvana's public GTM signals and expansion opportunities across paid acquisition, automation, and signal intelligence.

⬡ Observations · Arvana Fit Score: 99/100 (HIGH_FIT)

ACCOUNT FIT SCORE

99/100 HIGH_FIT

📈

Performance — Arvana currently runs no active paid campaigns on LinkedIn or Google Ads, missing targeted B2B capture.
⚡

Automation — Automated lead routing will scale lead processing efficiently alongside team growth without increasing manual SDR workload.
🔍

GTM AI & Data — Signal infrastructure can automatically map intent, funding, and web visits directly into Claude Code for personalized outreach.
🎯

Signal Intelligence — Combining hiring velocity and ad-presence signals into live fit scores will prioritize high-intent target accounts for outreach.
✓

Strong market position with 200+ top-tier B2B clients across DACH.
i

I can share a Loom walkthrough with more detail — just ask.

ℹ

Data Transparency: Observations are generated autonomously by my 6-module GTM Signal Research Agent (evaluating SpyFu PPC/SEO indices, Screaming Frog crawls, live DOM tag footprints, careers board velocity, and public funding data). Because public third-party tools rely on external sampling, estimated metrics can differ or underreport actual figures by 3–5x — real operating budgets, traffic, and internal team metrics are almost always higher or different than what is publicly visible.

Marketing, engineering,
and a lot of borders crossed.

My name, Akshun, means "undestructable" in Sanskrit. That's not a personal brand line — it genuinely shapes how I move. I don't quit on campaigns, goals, or challenges like learning German from scratch after landing in a new country.

I started freelancing in digital marketing at 19 in India — working with Punjabi music artists, Australian businesses, and tech clients before I'd ever left the country. That early pressure to figure things out without a team or a budget is where the technical + creative hybrid came from.

I moved to Nürnberg in 2022 for an M.Sc. at FAU, added an Erasmus semester in Madrid, hit German C1, and picked up enough Spanish to embarrass myself. Outside the dashboards, I run a YouTube channel documenting the unfiltered reality of being an Indian expat in Germany — no filters, real stories.

What I keep coming back to: the best marketing sits at the intersection of creativity, data, and technical execution. Most teams have one or two. I try to bring all three.

🇮🇳

India — Where it started

Started freelancing at 19. Music artists, Australian businesses, tech clients. Taught myself SEO, PPC, and web dev out of necessity.

2016 – 2022

🇩🇪

Germany — The big leap

M.Sc. at FAU Erlangen-Nürnberg. German to C1. Joined an AI startup, built full growth stack from scratch.

2022 – Present

🇪🇸

Spain — The bonus chapter

Erasmus at UPM Madrid. Picked up Spanish, confirmed food in Madrid is genuinely incredible.

Sep 2024 – Jan 2025

▶

On YouTube

The unfiltered reality of moving from India to Germany — visa stress, language barriers, real stories.

youtube.com/@akshundogra →

hover to meet the person behind the marketer →

The man behind all of this.

Akshun Dogra · Technical Growth Marketer

36x ROAS and automated pipelines,
scaling AI-native GTM for Arvana,
let's drive pipeline.

Future GTM needs systems —
outbound needs signals.

Part marketer,
part engineer.

What I'd do in the
first 90 days

I already did some
homework.

Marketing, engineering,
and a lot of borders crossed.

Did we just build
something worth pursuing?

This page was built
specifically for Arvana.

Glad you stopped by,
Arvana.

36x ROAS and automated pipelines, scaling AI-native GTM for Arvana, let's drive pipeline.

Future GTM needs systems —outbound needs signals.

Part marketer,part engineer.

What I'd do in thefirst 90 days

I already did somehomework.

Marketing, engineering,and a lot of borders crossed.

Did we just buildsomething worth pursuing?

This page was builtspecifically for Arvana.

Glad you stopped by,Arvana.