Akshun Dogra × Horatio | hire.akshundogra.com/horatio

Attracting high-value e-commerce & tech accounts for CX teams,
engineered for Horatio,
let's build predictable demand pipelines.

I bridge marketing strategy with technical execution — running multi-channel B2B demand generation, signal-driven lead enrichment (Clay, n8n, Apollo), and full-funnel paid campaigns (36x peak ROAS) that lower CAC and deliver pre-qualified commercial accounts to sales.

✉ businessakshun@gmail.com

Scaling AI-enabled CX outsourcing through signal-driven demand generation

Horatio is redefining how modern tech and e-commerce brands scale customer support by combining high-touch human talent with AI-enabled workflow execution. But as customer acquisition costs rise and support volume fluctuates, attracting high-value commercial accounts requires a signal-driven B2B demand generation engine.

With my experience running multi-channel demand pipelines (Python, Claude Code, REST APIs, n8n, Clay, HubSpot), I bridge growth marketing with fullstack GTM engineering. I build automated lead enrichment workflows, custom account scoring, and ad attribution — delivering warm, pre-qualified meetings to your sales team so Horatio accelerates ARR predictably.

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

Most relevant for Horatio

⚡

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

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 Horatio, that means deploying automated account qualification, CX demand generation pipelines, and server-side ad attribution without scaling headcount. My technical background in systems and data means I can work directly with your internal marketing and sales ops infrastructure, not around it.

Audit & upgrade B2B CX lead-to-call workflow — Sit directly with your Marketing and Sales leadership to audit how inbound support & CX inquiry leads flow through HubSpot / Salesforce. Identify manual triage bottlenecks across target company sizes and streamline lead routing.
Success test: reliable lead data fields, clear ownership, and an agreed baseline for AE research time saved.

Deploy native account scoring & intent enrichment pipelines — Build and run multi-model AI enrichment agents (Python, Claude Code, REST APIs) across target scaling digital and tech accounts. Build native account & role scoring directly in CRM using captured inputs (domain, support team scale, helpdesk stack, role) — zero extra tool spend required until proven necessary.
Success test: AEs accept scored CX buyer accounts with low false positives.

Launch signal-triggered outbound & demo-prep workflows — Two connected workflows: qualified target accounts enter a concise, signal-led sequence; when a prospect requests a consultation, an automation enriches the record and sends the assigned AE a Slack meeting brief before the call.

Day 1 – Email: relevant CX support volume observation + flexible team angle
Day 3 – LinkedIn: connection note referencing customer support operations
Day 6 – Email: offer a free CX team scalability benchmark report
Day 10 – Email: practical follow-up or digital brand 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 Horatio's public GTM footprint and digital channels. Each observation highlights immediate growth opportunities to accelerate pipeline efficiency.

⬡ Observations · Horatio Fit Score: 96/100 (HIGH_FIT)

ACCOUNT FIT SCORE

96/100 HIGH_FIT

📝

B2B CX GTM System-of-Record Check — Public disclosures show active tracking scripts across Google Tag Manager and GA4. Before adding new AI automation, I would clarify which platform owns consultation inquiry stage, attribution, and outbound-trigger logic.
⚡

High-Intent CX Consultation Data Exists — Consultation request and pricing inquiry flows collect company domain, support team size, primary customer channels, and role — enough to begin a CRM-native qualification pilot without buying another data tool first.
⚠️

Support Scaling Urgency Qualification — Seasonal support surges and international expansion make CX team outsourcing a live commercial issue for digital brands. The opportunity is identifying where technical readiness, support volume spikes, and staffing bottlenecks overlap — not treating every lead as equally urgent.
✓

Conversion Path to Build On — Horatio's custom CX consultation request form creates a high-intent entry point. The next opportunity is connecting consultation inputs, company scale, and follow-up ownership into one measurable route to sales.
✓

Strong Series B funding position provides clear foundation for scaling.
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

Attracting high-value e-commerce & tech accounts for CX teams,
engineered for Horatio,
let's build predictable demand pipelines.

Scaling AI-enabled CX outsourcing through signal-driven demand generation

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 Horatio.

Glad you stopped by,
Horatio.

Attracting high-value e-commerce & tech accounts for CX teams, engineered for Horatio, let's build predictable demand pipelines.

Scaling AI-enabled CX outsourcing through signal-driven demand generation

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 Horatio.

Glad you stopped by,Horatio.

Attracting high-value e-commerce & tech accounts for CX teams,
engineered for Horatio,
let's build predictable demand 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 Horatio.

Glad you stopped by,
Horatio.