Akshun Dogra × Apaleo | hire.akshundogra.com/apaleo

Hospitality APIs need systems —
outbound needs signals.

Apaleo has established itself as the open hospitality platform powering modern hotel management and API-first property operations. But as boutique hotel chains, serviced apartments, and enterprise hospitality brands accelerate digital transformation across Europe, driving TOFU growth requires a scalable, signal-driven GTM engine.

My background in building intent-signal pipelines, automated disqualification crawlers, and native CRM lead scoring directly matches your Growth Marketing Architect mandate. I turn hotel tech-stack signals, legacy PMS migration intent, and hiring velocity into 80%+ warm, pre-qualified accounts — so your GTM team spends time closing deals rather than researching leads.

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 Apaleo

🎯

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 Apaleo, that means automating account qualification, PMS intent scoring, and API partner attribution without scaling headcount. My technical background in systems and data means I can work directly with your internal product and ops infrastructure, not around it.

Audit & upgrade hotel lead-to-call workflow — Sit directly with your RevOps and Demand Gen leads to audit how hotel inquiry data flows through HubSpot / Salesforce. Identify manual research bottlenecks across hospitality profiles (boutique vs enterprise chains) and streamline existing lead routing.
Success test: reliable property fields, clear lifecycle ownership, and an agreed baseline for AE research time saved.

Deploy native PMS account scoring & disqualification crawlers — Build and run negative-signal PMS tech-stack crawlers across target European hotel & serviced apartment groups. Build native account & role scoring directly in CRM using captured inputs (room count, current legacy PMS, API integration readiness, role) — zero extra tool spend required until proven necessary.
Success test: AEs accept scored hotel accounts and false positives stay low enough to trust the queue.

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 hospitality technology observation + API angle
Day 3 – LinkedIn: connection note referencing PMS modernization
Day 6 – Email: offer a free API-first hospitality architecture audit
Day 10 – Email: practical follow-up or hotel 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.

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

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

ACCOUNT FIT SCORE

100/100 HIGH_FIT

📝

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

High-Intent Hospitality Data Exists — Demo booking and developer API trial flows collect hotel group domain, room count, role, and legacy PMS context — enough to begin a CRM-native qualification pilot without buying another data tool first.
⚠️

PMS Migration Urgency Qualification — Legacy hotel PMS lock-in makes API migration a high-urgency commercial issue for modern hotel operators. The opportunity is identifying where technical readiness, property expansion, and API gaps overlap — not treating every lead as equally urgent.
✓

Conversion Path to Build On — Apaleo's developer documentation and app store ecosystem already create high-intent entry points. The next opportunity is connecting app store interest and developer trial inputs into one measurable route to sales.
✓

Strong product positioning and clear value proposition on apaleo.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

36x ROAS, 400% organic growth.
now scaling GTM for Apaleo.
Let's own your market.

Hospitality APIs need 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 Apaleo.

Glad you stopped by,
Apaleo.

36x ROAS, 400% organic growth. now scaling GTM for Apaleo. Let's own your market.

Hospitality APIs need 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 Apaleo.

Glad you stopped by,Apaleo.