Akshun Dogra × Trading 212 | Performance Marketing Expert (Berlin) application

How do we scale commission-free campaigns
with verified attribution?
Audit tracking before scaling spend.

I will set up paid campaigns across Google, Meta, Apple Search Ads, X, and Reddit supported by Google Tag Manager and CDP tracking to scale retail investor acquisition. Having previously managed $50K+ AUD/month ad budgets with 36x+ peak ROAS, I will apply rigorous tracking and creative testing discipline without promising identical campaign results.

✉ businessakshun@gmail.com

Paid Acquisition Scaling Requires Verified Attribution Infrastructure

Trading 212 requires scaling paid advertising across Google, Meta, Apple Search Ads, X, and Reddit to expand retail investing in stocks and ETFs. However, public tag auditing observes Google Tag Manager on web surfaces while channel conversion tags remain unverified. As Performance Marketing Expert, scaling paid media without verified attribution risks misallocating acquisition budgets. I will validate whether tracking operates via server-side pipelines or GTM container triggers to establish clean attribution before expanding campaign spend.

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

⚡

Measurement & Experiment Operations

I turn ambiguous growth questions into reproducible measurement, clear experiment design, and documented decisions with human review where it matters.

The point is not more automation. It is a traceable path from evidence to a decision a growth team can defend.

Evidence

Measurement

Experiment

Review

Evidence-to-decision loop

🌐

Evidence

Public signals

→

🔗

Measure

Baseline

→

🧪

Test

Experiment

→

🧱

Review

Decision

LEARN

Keep testing

REVIEW

Check evidence

STOP

Document why

Evidence before scale

Most relevant for Trading 212

🎯

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 bring over 6 years of experience across growth, paid media, GA4, and GTM. Having managed $50K+ AUD/month Google and Facebook ad budgets while achieving 36x+ peak ROAS, 20% lower CPC, and 30% higher CTR, I focus on data-driven campaign scaling. Furthermore, I achieved 50% faster ROI measurement by engineering cohort tracking structures and multi-channel attribution models to guide growth spend.

01Days 1–30

Diagnose Martech Tracking & Ad Tag Architecture — Public auditing detects Google Tag Manager and GA4 on Next.js web pages, while conversion tags for paid campaigns across Google, Meta, Apple Search Ads, X, and Reddit remain unverified on crawled surfaces. As Performance Marketing Expert, I will audit client-side GTM event triggers and data streams against server-side attribution endpoints to construct a martech gap matrix for commission-free stock and ETF campaign tracking. This audit establishes a baseline measurement audit to decide whether to route event signals through GTM container triggers or server-side CDP pipelines before expanding ad spend.

02Days 31–45

Instrument Multi-Channel Attribution & MMP Tracking — The role requires ensuring our martech stack enables best-in-class tracking, attribution, and reporting across Google, Meta, Apple Search Ads, X, and Reddit to drive retail investor growth. I will configure standardized conversion schemas within Google Tag Manager, GA4, MMPs, and CDPs to track user engagement across fractional shares, cash interest, and demo account features. This deployment delivers unified attribution dashboards to decide capital allocation and campaign structure across paid advertising channels.

03Days 46–75

Test Ad Creatives & Audience Bidding Strategies — Driving paid advertising efficiency for commission-free investing requires continuous testing of copy, creative variants, keywords, and campaign structures tailored to investor intent. I will establish a systematic A/B testing framework across Google, Meta, Apple Search Ads, X, and Reddit to evaluate ad creative concepts, audience segmentations, and bidding strategies. This experimentation cadence produces creative performance scorecards to decide which high-performing ad variants receive increased budget scaling.

04Days 76–90

Operationalise Growth Reporting & Campaign Scale — Supporting growth for extended market hours and wealth-building products requires scalable reporting pipelines that connect ad network spend with attribution metrics. I will automate daily acquisition reporting by integrating MMP and CDP data streams into executive dashboards for the Growth team. This operational framework establishes explicit CAC and attribution thresholds to decide when to scale successful campaign structures or pause underperforming ad sets.

💡 Day-90 decision gate

As Performance Marketing Expert, I will scale campaign spend across Google, Meta, Apple Search Ads, X, and Reddit when GTM, MMP, and CDP attribution pipelines verify clean conversion tracking for stock, ETF, and cash interest user acquisition. I will iterate ad copy, creative variants, keywords, audience segments, and bidding strategies when engagement metrics fluctuate while tracking instrumentation remains accurate. I will stop campaign execution if conversion attribution breaks, tracking telemetry fails across martech platforms, or customer acquisition costs degrade unit economics for retail investing products.

I already did some
homework.

Hypothesis: This observation audit evaluates public digital presence and technical architecture signals against the core responsibilities of the Performance Marketing Expert role. It establishes a baseline for paid channel execution, measurement instrumentation, and martech infrastructure optimization.

⬡ Observations · Trading 212
Full analysis available on request Fit Score: 100/100 (HIGH_FIT)

ACCOUNT FIT SCORE

100/100 HIGH_FIT

📈

Measurement & Martech Stack — Public digital presence auditing shows Google Analytics and Google Tag Manager as observed script integrations, while tools such as Meta Pixel, PostHog, Cookiebot, Usercentrics, and HubSpot remain not verified on crawled surfaces. Owning martech tracking, attribution, and reporting requires verifying whether unobserved measurement tools operate via server-side pipelines or require client-side setup. Auditing GTM event triggers alongside GA4 data streams will establish a consent-safe measurement hypothesis. This validation clarifies technical tracking dependencies before launching multi-channel campaigns.
⚡

Ad Tag Infrastructure — Analysis of ad tag infrastructure reveals Google Tag Manager observed on inspected public pages, with no channel tags detected for Google Ads, Meta Ads, or LinkedIn Ads. Managing paid campaigns across Google, Meta, Apple Search Ads, X, and Reddit involves establishing clean ad tag deployment and conversion tracking. Mapping campaign tags within GTM or server-side conversion APIs will confirm channel readiness across major ad networks. This groundwork ensures precise CAC measurement and conversion attribution across scalable acquisition channels.
🔍

Growth Experimentation & Investor — Scope analysis identifies 1 collaborating marketing function aligned with driving growth for commission-free investing in stocks, ETFs, fractional shares, and cash interest products. Scaling paid acquisition requires continuous testing of ad copy, creative variants, keywords, and campaign structures tailored to retail investor intent. Implementing a systematic experiment cadence for ad creatives and bidding strategies will optimize paid media efficiency. This structure enables predictable user growth while aligning paid campaigns directly with overall product adoption.
🎯

Front-End Analytics & Single-Page — Technical inspection confirms Next.js as the observed CMS framework alongside GA4 for web analytics tracking. Connecting web performance data to paid advertising workflows requires verifying how single-page app route changes interact with GTM event triggers and attribution scripts. Technical review of client-side event tracking and conversion signals will validate data accuracy across landing pages. This alignment secures clean reporting infrastructure across all web touchpoints to support performance optimization.
✓

Trading 212 maintains observed script integration for Google Tag Manager and GA4, establishing a foundational tracking infrastructure for performance measurement.
i

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

ℹ

Data Transparency: These are outside-in hypotheses based on verified first-party and public evidence. “Not observed” is not the same as “does not exist”; internal data and stakeholder context would be the first validation step.

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

How do we scale commission-free campaigns
with verified attribution?
Audit tracking before scaling spend.

Paid Acquisition Scaling Requires Verified Attribution Infrastructure

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 Trading 212.

Glad you stopped by,
Trading 212.

How do we scale commission-free campaigns with verified attribution? Audit tracking before scaling spend.

Paid Acquisition Scaling Requires Verified Attribution Infrastructure

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 Trading 212.

Glad you stopped by,Trading 212.

How do we scale commission-free campaigns
with verified attribution?
Audit tracking before scaling spend.

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 Trading 212.

Glad you stopped by,
Trading 212.