Akshun Dogra × sipgate | hire.akshundogra.com/sipgate

Scaling AI voice agent adoption & cloud telephony acquisition,
engineered for sipgate,
let's build autonomous B2B growth loops.

I bridge growth marketing with AI agent engineering — building automated B2B trial qualification, intent-signal pipelines (Clay, n8n, APIs), and paid media campaigns that position sipgate's AI voice agents as the primary business communication standard.

✉ businessakshun@gmail.com

Cloud telephony needs AI innovation — outbound needs tech-stack signals.

sipgate is a pioneer in German cloud PBX and business telephony, now pushing the boundary with autonomous AI voice agents for business communication. As legacy landlines transition to AI-driven voice workflows, winning B2B market share requires identifying companies undergoing PBX upgrades. I build automated tech-stack crawlers, PBX displacement triggers, and native CRM lead scoring so your sales team receives 80%+ warm, pre-qualified business accounts.

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 sipgate

🎯

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

Fit tier is classified as HIGH_FIT (97/100). The 90-day plan below outlines high-leverage GTM engineering steps tailored to your current operating signals.

Audit tracking & intent pipeline — Fix measurement gaps across sipgate.com and establish clean event attribution.

Automate account scoring & routing — Connect real-time visitor intent with Make & Clay to route high-fit leads in <2 minutes.

Scale demand creation & GEO strategy — Launch targeted Google/LinkedIn ads and optimize LLM search visibility for key buyer prompts.

Build your own signal engine — Deploy the same autonomous research & fit-scoring pipeline to qualify and tier target accounts for sipgate's outbound motion.

💡 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.

I analyzed sipgate's public digital footprint across ad presence, hiring velocity, and search structure.

⬡ Observations · sipgate Fit Score: 97/100 (HIGH_FIT)

ACCOUNT FIT SCORE

97/100 HIGH_FIT

📈

Performance — Opportunity to expand high-intent paid search and LinkedIn ad coverage.
⚡

Automation — Adding automated enrichment would route target accounts straight to AEs in real time.
🔍

GTM AI & Data — Unifying commercial data endpoints (CRM, web events, and product intent) enables real-time target account scoring.
🎯

Signal Intelligence — etected active market expansion and open GTM roles, suggesting sales investment is ramping now.
✓

Strong product positioning and clear value proposition on sipgate.com.
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

Scaling AI voice agent adoption & cloud telephony acquisition,
engineered for sipgate,
let's build autonomous B2B growth loops.

Cloud telephony needs AI innovation — outbound needs tech-stack 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 sipgate.

Glad you stopped by,
sipgate.

Scaling AI voice agent adoption & cloud telephony acquisition, engineered for sipgate, let's build autonomous B2B growth loops.

Cloud telephony needs AI innovation — outbound needs tech-stack 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 sipgate.

Glad you stopped by,sipgate.

Scaling AI voice agent adoption & cloud telephony acquisition,
engineered for sipgate,
let's build autonomous B2B growth loops.

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 sipgate.

Glad you stopped by,
sipgate.