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

Scaled paid campaigns to 36x ROAS,
driving efficient publisher acquisition for adjoe
through technical attribution systems.

I've managed $50K+ AUD/month ad spend achieving 36x+ ROAS while driving a −20% CPC reduction across paid channels. For adjoe, expanding beyond active Google Ads and LinkedIn Ads into Meta while setting up GA4 cohort tracking improves user acquisition efficiency.

✉ businessakshun@gmail.com

Accelerating adjoe's mobile publisher monetization through automated acquisition pipelines

In mobile ad monetization, app publishers face intense outreach from competitors like AppLovin, Unity Ads, and Mistplay. By building intent-signal pipelines that monitor developer SDK integration and app store velocity, I deliver warm, pre-qualified mobile app partners directly to your team. This automated approach eliminates manual prospecting, ensuring sales reps focus on closing high-LTV publisher contracts.

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.

Most relevant for adjoe

📈

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

🎯

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

Having scaled organic traffic by 400% and reduced manual SDR effort by 80% through automated workflows, I focus on predictable CAC reduction. My experience managing $50K+ AUD/month budgets and building GA4 attribution models maps directly to adjoe's goal of scaling mobile publisher acquisition efficiently. I bring 6+ years of technical growth expertise to accelerate team bandwidth without expanding overhead.

Scale Untapped Meta & TikTok Channels — Expand paid acquisition beyond current Google Ads (aw-366339013) and LinkedIn Ads by launching structured Meta and TikTok campaigns targeting mobile game developers. **Success test: Achieve a −20% CPC reduction while unlocking net-new app publisher conversions.**

Automate Intent Signal Lead Pipeline — Deploy an automated pipeline using Make, Clay, Apollo, and Lemlist to identify mobile apps updating monetization SDKs and route pre-qualified accounts to your 3 sales reps. **Success test: Reduce manual SDR effort by 80% while increasing qualified sales conversations.**

Optimize WordPress Technical SEO Infrastructure — Execute a staged optimization across WordPress: Sprint 1 fixes 3 title truncated tags and 2 missing meta descriptions; Sprint 2 remediates 33 images lacking alt text; Sprint 3 expands schema markup across key product landing pages. **Success test: Increase organic CTR by +30% and eliminate technical crawl issues.**

Build Autonomous Publisher Fit Engine — Construct an autonomous research agent that evaluates app download velocity, funding rounds, and ad presence to score prospective app publishers before outbound routing. **Success test: Deliver a live fit score for 100% of outbound targets, boosting conversion efficiency.**

💡 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.

A technical analysis of adjoe.io's digital footprint, evaluating WordPress page architecture, Google Tag Manager container (gtm-53skr6r), active Google Ads scripts (aw-366339013), and search visibility.

⬡ Observations · adjoe Fit Score: 100/100 (HIGH_FIT)

ACCOUNT FIT SCORE

100/100 HIGH_FIT

📈

Performance — Google Ads (aw-366339013) and LinkedIn Ads are active, but untapped Meta and TikTok channels offer significant opportunity for mobile developer acquisition.
⚡

Automation — With no dedicated RevOps roles detected, automated lead routing using Make and Clay scales publisher processing directly alongside your 13 marketing team members.
🔍

GTM AI & Data — Screaming Frog audit identified 3 title tag issues, 2 missing meta descriptions, and 33 images lacking alt text on WordPress page templates.
🎯

Signal Intelligence — Combining ad-presence signals with adjoe's 17 engineering and 13 marketing hiring counts reveals strong expansion potential for targeted account scoring.
✓

Google Tag Manager container gtm-53skr6r is correctly configured across core landing pages.
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

Scaled paid campaigns to 36x ROAS,
driving efficient publisher acquisition for adjoe
through technical attribution systems.

Accelerating adjoe's mobile publisher monetization through automated acquisition pipelines

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 adjoe.

Glad you stopped by,
adjoe.

Scaled paid campaigns to 36x ROAS, driving efficient publisher acquisition for adjoe through technical attribution systems.

Accelerating adjoe's mobile publisher monetization through automated acquisition pipelines

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 adjoe.

Glad you stopped by,adjoe.

Scaled paid campaigns to 36x ROAS,
driving efficient publisher acquisition for adjoe
through technical attribution systems.

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 adjoe.

Glad you stopped by,
adjoe.