Built for Großbusiness Group
Case Study & Technical Strategy · Demand Generation GTM Engineering

One demand engine, three growth motions—
performance, automation, SEO/GEO, and agentic GTM systems in one hire.

MDIS Consulting is a Haufe X360 Gold Partner transforming from a referral-driven ERP consultancy into a company with its own product platform, X.One. Growth is capped by one thing: top-of-funnel volume. Sales converts qualified leads well already — the gap is generating enough self-sourced SQLs across three distinct motions (ERP pull-demand, X.One push-demand, and integration-as-a-service) without adding headcount. I build the full-stack system for that: paid, SEO/GEO visibility, signal-based outbound, and agentic AI operations working together, not as separate hires.

🔀 Select GBG Business Motion / Ideal Customer Profile Toggle to view tailored value proposition & CTAs
Core Offerings & Value Prop

Haufe X360 ERP, Personio, d.velop (Document Management), Circula. Delivering seamless ERP implementation, process efficiency, document governance, and measurable ROI.

High-Intent Conversion Points (SQL-Focused)
✉ businessakshun@gmail.com
Hi MDIS Consulting, I have a proposition
HI MDIS CONSULTING,
I HAVE A PROPOSITION
20–30%
YoY Target Pipeline Growth
Growth Math
36x+
Peak ROAS (Blended: 3.2x–4.2x)
Search Conquesting
−80%
Manual SDR effort saved
Automation
6+
Years in Growth & GTM space
Full-Stack GTM
Why MDIS Consulting

Three motions, one gap—enough self-generated SQLs.

MDIS is a Haufe X360 Gold Partner and a multiple award-winning manufacturer partner. At the 2026 Haufe X360 Summit, MDIS was recognised as Gold Partner, highest-revenue partner, fastest-growing partner, and for Customer Project of the Year — with over 250 implementations across Haufe X360, X.One, Personio, d.velop, and Circula ecosystem integrations.

The core challenge is scaling self-sourced SQLs across two primary commercial motions: ERP pull-demand and X.One push-demand, plus a secondary, medium-term Integration-as-a-Service motion (MDIS Velocity) for product and engineering leaders. Referral pipeline alone can't reliably sustain 20–30% YoY target growth without a dedicated, measurable SQL engine.

Target Role
Demand Generation GTM Engineer
Paid, SEO/GEO, Automation, Agentic AI Ops & Attribution
Location
Nürnberg, Berlin, Remote 🇩🇪
Open to hybrid / remote · EU work authorization
Company & Awards
MDIS Consulting GmbH
Multiple Award-Winning Haufe X360 Gold Partner · 2026 Summit Winner (Gold, Highest Revenue, Fastest Growing & Project of the Year)
Availability
Immediately available · full-time · across Germany
🎯 Dual ICP Buyer Journey Matrix
Dimension Haufe X360 / Consulting Stack (Pull Motion) X.One Platform (Push Motion)
Market Logic Pull market: existing search and comparison demand Push market: category education and demand creation
Core Buyer Managing director, CFO, CIO/IT leadership, HR leadership as relevant CFO and executive management
Buying Trigger SAP ECC migration, ERP replacement, fragmented business processes Fragmented systems, slow reporting, AI governance, data sovereignty
Primary Channel Search, SEO, comparisons, partner campaigns, references Executive education, LinkedIn, workshops, account-led activation
Decision Cycle 6–12 months 6–12 months
Core Job Capture existing demand Create and qualify new demand
ℹ Note: MDIS Velocity serves as a secondary, medium-term Integration-as-a-Service motion for product and engineering leaders.
Strategic Positioning & Quality Mandate

No Outdated Marketing Tactics—
Technical Precision Aimed Direct at Decision-Makers.

Traditional agency marketing relies on weak, low-intent tactics that capture unread lead lists. GBG requires a modern, technical GTM engine built for engineers and C-level executives.

❌ Outdated Tactics ("Alter Scheiß") — EXPLICITLY REJECTED
  • ✕ Static Whitepaper Downloads: Captures low-intent personal emails without qualifying budget or stack.
  • ✕ Standard Generic Webinars: High attendance drop-off, minimal SQL conversion, heavy manual overhead.
  • ✕ Passive Retargeting Banners: Generic impressions without intent signaling or technographic scoring.
  • ✕ High-Level Agency Fluff: Vague growth promises disconnected from ERP & API technical realities.
⚡ Modern Technical Strategy — WHAT THOMAS VALUES
  • ✓ Intent Signaling & Search Conquesting: Capture active SAP ECC 2030 end-of-life and Haufe X360 queries.
  • ✓ Technical Workflow Pipelines: Automated account enrichment, API integrations (Clay, n8n, Python, HubSpot).
  • ✓ Multi-Step SQL Lead Qualification: Dynamic intake scoring filtering high-intent buyers before discovery calls.
  • ✓ AE Pre-Call Slack Dossiers: Automated briefs delivered instantly to sales reps with technographic context.
Full skillset & GTM architecture

Not just automation—
paid, SEO/GEO, and agentic systems too.

Demand generation for MDIS spans three motions with different logics: a pull market (Haufe X360), an emerging push market (X.One), and a secondary Integration-as-a-Service motion (MDIS Velocity). That needs someone who runs paid, technical SEO/GEO, signal-based automation, and agentic AI systems together — not four separate specialists.

Proposed stack — selected after tracking, consent, CRM, data-quality, and legal review.
⚡
Buying-Group & Signal Telemetry
What I build: Map buying groups across target accounts, identify missing decision-making roles, and generate approved account plans, enrichment briefs, and next-best-action recommendations. External outreach, budget changes, CRM write actions, and publishing remain approval-required.
Proof: At Theo, I built governed GTM operations using Claude Code, MCP servers, Notion, n8n, Make, and HubSpot — with run logs, approval gates, and audit trails.
→ What it means at MDIS: Ensures multi-contact coverage for Haufe X360 and X.One enterprise consulting deals without unsupervised risk.
Intent Data Sources
Account Intelligence
LinkedIn Sales Nav
Clay
Selected CRM
Buying-Group Telemetry & Pipeline
🎯
Target ICP
50+ Employees
→
👁️
Consented Signals
Intent / Visitor
→
🔍
ERP Stack
SAP/Legacy?
→
🧱
Enrichment
Clay / CRM
SAP END-OF-LIFE
🔥 Approved Migration Brief
HIGH INTENT SIGNAL
💬 Rep Activation Brief
X.ONE PLATFORM FIT
🤖 Executive AI Nurture
50–500 Employee-range target accounts, buying group scored
Most relevant for MDIS
📈
CRM Lead & Account Scoring
What I build: Design lead and account scoring in the CRM MDIS already uses or selects after the audit. Score firmographic fit, declared intent, product-motion fit, engagement, technology context, and buying-group completeness. Then route accounts through sales-agreed MQL/SQL criteria, handoff SLAs, and nurture paths.
Proof: Engineered a HubSpot → Make → Google Ads offline-conversion pipeline at Theo that recovered €22.7k in suppressed conversion value by replacing flat values (1 or 10) with dynamic ACV-based conversion values (unit price × units × 12 months), ensuring high-value accounts were not deprioritized by Google's bidding algorithm. Identified an additional ~€10,000 in pure ad-waste elimination during the same audit (total ~€32.7k combined value optimization).
→ What it means at MDIS: Automated qualification separating self-generated MQLs from sales-ready SQLs inside your CRM.
Selected CRM
Intent Data Sources
Account Intelligence
Enrichment Layer
Native SQL Qualification Waterfall
🏢
Firmographic Fit
50+ Employees · DACH Region
⚙️
Technographic Fit
Legacy ERP or SAP ECC
Signal Trigger
Score
SAP ECC End-of-Life signal
+30
Company size 50–500 employees
+25
Intent signal active (Bombora/G2)
+20
X.One / integration interest
+15
80+
SQL · Sales SLA
50–79
MQL · Nurture Seq
<50
Nurture · Content
Self-Generated SQLs created independent of partner channel
💻
Paid, SEO/GEO & Signal-Triggered Outbound
What I build: Paid search on buying intent, LinkedIn demand creation, organic executive thought leadership co-authored with marketing leadership, and technical SEO/GEO so MDIS ranks in AI search and Google comparisons. For inbound & intent signals, n8n webhooks enrich accounts instantly and deliver pre-call Slack dossiers to sales.
Proof: Up to 36x peak ROAS (competitor conquesting search queries from prospects comparing vendor alternatives) with 3.2x–4.2x blended account ROAS baseline (WebFX 2026 SaaS benchmark; LTV:CAC 3:1 to 5:1+ signal focus); 400% organic growth; 80% manual effort reduction via automation; GEO traffic 1% → 20%.
→ What it means at MDIS: Direct traffic and intent capture for SAP ECC migration comparisons and X.One category positioning.
n8n
Slack
Intent Signals
LinkedIn Thought Leadership
Discovery-Prep Automation Stack
n8n Orchestrator
Inbound / Signal Trigger
↓ enriches & checks firmographics
Enrich + Pre-Call Dossier Generator Slack HITL
↓ routes to
AE Slack Alert
CRM Routing Sync
Instant Brief AE prepared with context before discovery call
🤖
Agentic GTM Systems, Not Automation Scripts
What I build: Governed GTM agents operating across visibility, paid performance, execution, and sales handoff with human-in-the-loop approval gates before any external outreach, budget modification, or publishing action.
Proof: At Theo, I built governed GTM operations using Claude Code, MCP servers, Notion, n8n, Make, and HubSpot — with run logs, approval gates, and audit trails.
→ What it means at MDIS: Mirrors the exact control and governance model MDIS expects from X.One's A.One, G.One, S.One, and MyAI architecture.
Claude Code
Python
n8n
AI Web Scraping
Governed Multi-Agent Execution Architecture
🔍
A.One (Analytic)
Signal & GEO Monitoring
⚖️
G.One (Governance)
Rule & Consent Enforcement
🚀
S.One (Service)
Execution & Routing
📊
MyAI Dashboard
Executive Telemetry
Continuous loop: detect → score → enrich → report
€22.7k Suppressed value recovered & 80% manual effort reduced at Theo
Personal Story & Track Record

Building GTM engines from scratch—why I focus on systems.

My name, Akshun, means indestructible in Sanskrit. I don't give up easily on goals, technical bottlenecks, or mastering the German language.

At 19, I started freelancing in digital growth in India — building custom websites, writing automation scripts, and running multi-channel campaigns out of necessity. That foundation bridges engineering and commercial growth seamlessly.

In 2022, I moved to Nürnberg for my Master's at FAU, earned German C1 fluency, and built the GTM engineering stack for a Berlin AI startup.

I value long-term commitment and high performance. I am looking for a company where I can build real systems that scale over years — not a short-term contract.

🇮🇳
India — Early Growth Engineering
Freelancing at 19. Earliest demand-gen tactics (pre-SEO/paid-search maturity): outbound cold email & LinkedIn to ICP accounts, TOFU content generation, and physical tech-event attendance.
2016 – 2021
🔄
Positioning Pivot — Data Import to Onboarding
Initial positioning as 'data import solution' pulled broad low-fit XLS queries. Repositioned to 'data onboarding solution' (B2B SaaS client onboarding) matching companies manually onboarding client Excel data. Early PMF signal: branded search queries ('data importer SDK', 'data pipeline') grew alongside direct traffic from outbound touches.
2021 – 2022
🇩🇪
Nürnberg / Berlin — M.Sc. & Startup GTM
M.Sc. at FAU Erlangen-Nürnberg. Reached German C1. Built full GTM engineering stack, AI agents & lead scoring.
2022 – Present
🇪🇸
Spain — Erasmus UPM Madrid
Semester abroad at Universidad Politécnica de Madrid. Expanded global perspective and European networks.
Sep 2024 – Jan 2025
▶
YouTube Community
Documenting student & professional life in Germany for 40,000+ subscribers.
youtube.com/@akshundogra →
High-Intent Lead Qualification

Multi-Step Intent Signaling—
Filtering Visitors into Sales-Ready SQLs.

Instead of weak email forms, GBG landing pages need qualified intake forms that score firmographic fit, current ERP stack, and integration requirements before booking a call.

Interactive SQL Scoring Intake Simulator
Calculated Lead Intent
95/100
HIGH-INTENT SQL
Qualifies directly for a technical discovery call with MDIS enterprise architects.
⚡ Request a Technical Demo
Execution Strategy · Day 1 Action Plan

"Was machst du ab Tag 1 bei uns?"
Concrete Technical Deliverables From Week 1.

No generic whitepapers, no basic webinars, no empty retargeting. Here is the exact technical execution roadmap I execute starting on Day 1 to build GBG's self-generated SQL pipeline.

DAY 1 – 7
Diagnostic Baseline
Technical Stack Audit & Intent Signal Setup

Audit GA4, Search Console, CRM tags, Search query history for SAP ECC 2030 & Haufe X360 comparisons. Establish consent-safe visitor identification and intent tracking before spending a single euro on campaigns.

DAYS 8 – 30
SQL Infrastructure
CRM SQL Lead Scoring & Pre-Call AE Slack Dossiers

Deploy native lead & account scoring matrix (scoring firmographics, technographics, intent signals). Build n8n webhook pipeline delivering instant pre-call dossiers to sales reps in Slack with account background, current ERP stack, and decision-maker roles.

DAYS 31 – 60
Dual-Path Launch
SAP ECC Conquesting & CTO API Outreach Pilots

Launch search intent capture targeting SAP ECC 2030 migration keywords (ERP Pull Motion) + CTO-focused LinkedIn API integration campaign (X1 Push Motion). Deploy multi-step intent intake qualification on landing pages.

DAYS 61 – 90
Agentic Scaling
Governed Agent Operations & SQL Revenue Steering

Deploy governed GTM agents (A.One analytics, G.One compliance, S.One routing) with human-in-the-loop approval. Track SQL conversion velocity, CAC, and pipeline growth target (20–30% YoY).

Operational Action Plan

First 90 Days:
30 / 30 / 30 Execution Roadmap.

Per the briefing: no campaigns start before there's a measurable baseline. Here's how I structure the first 90 days to get from zero to a reliable, trustworthy attribution and scoring foundation:

💡 Growth Math & Performance Steering · MDIS Consulting
The target: MDIS is aiming for 20–30% YoY growth across both consulting and X.One ARR — a rate today's partner-referral pipeline alone can't reliably support. The gap sits entirely at the top of the funnel: sales already converts qualified leads well, so every additional self-generated SQL translates fairly directly into incremental growth toward that target.
MQL-to-SQL Conversion Rate Cost-per-Pipeline-€ Multi-Touch Channel Attribution Payback Period CAC Forecast Accuracy
Before we talk

I already did some
homework.

I ran a public web audit of mdis-consulting.de and cross-checked it against your briefing to find concrete starting points:

⬡ Public Web & Content Audit · MDIS Consulting Verified via public site observation
  • ⚡
    X.One Product Platform Live — mdis-consulting.de actively positions X.One (integration & AI platform) alongside Haufe X360 ERP, confirming two distinct demand-generation motions (pull vs push).
  • ⚡
    2026 Haufe X360 Recognition — MDIS publicly presents its 2026 recognition as Gold Partner, highest-revenue partner, fastest-growing partner, and Customer Project of the Year. These are strong trust assets to connect deliberately to campaign pages, sales materials, partner campaigns, and relevant conversion paths.
  • 💡
    Proposed Conversion-Path Opportunity — The public contact form could become a more useful qualification event: capture declared intent and project context, enrich accounts through approved data sources, score fit in the selected CRM, and give sales a concise context brief. The goal is not more form fills; it is faster, better-qualified conversations.
  • ✓
    Active Video Content & MDIS Academy Hub — Turn each expert asset into a measurable content-to-nurture path: search page, retargeting audience, email sequence, and sales-assist brief.
  • 📹
    Loom Walkthrough — I can share a 2-minute video walkthrough demonstrating my live n8n workflows and AI agent telemetry on request.
ℹ
Scope Note: Findings based on public site observations. Internal attribution, lead routing, and tracking configuration to be validated in week one.
The person behind the marketer

Engineering, growth,
and building for the long term.

My name, Akshun, means "indestructible" in Sanskrit. I don't give up on goals, technical challenges, or learning German from scratch after relocating to Bavaria.

I started freelancing in digital growth at 19 in India — managing campaigns for international clients and teaching myself web engineering and automation out of necessity. That hands-on technical foundation is why I bridge engineering and growth seamlessly.

I moved to Nürnberg in 2022 for an M.Sc. at FAU, completed an Erasmus semester in Madrid, reached German C1, and built the entire GTM engineering stack for an AI startup in Berlin.

I value long-term commitment and high performance, and I'm looking for a company where I can build real systems and grow over the next several years — not a short-term contract.

🇮🇳
India — Early Growth Engineering
Freelancing at 19. Managed multi-channel marketing, built custom websites, and mastered performance & automation.
2016 – 2022
🇩🇪
Nürnberg / Berlin — M.Sc. & Startup GTM
M.Sc. at FAU Erlangen-Nürnberg. Reached German C1. Built full GTM engineering stack, AI agents & lead scoring.
2022 – Present
🇪🇸
Spain — Erasmus UPM Madrid
Semester abroad at Universidad Politécnica de Madrid. Expanded global perspective and European networks.
Sep 2024 – Jan 2025
▶
YouTube Community
Documenting student & professional life in Germany for 40,000+ subscribers.
youtube.com/@akshundogra →
hover to meet the person behind the marketer →
Akshun Dogra
Akshun Dogra
GTM Engineer & Technical Growth Specialist
One question before you go

Did we just build
something worth pursuing?

Honest answers only. Both paths lead somewhere good.

this is us right now
Akshun x MDIS Consulting
AKSHUN X MDIS
Let's connect

This page was built
specifically for MDIS Consulting.

I'd love a 20-minute conversation. No pitch deck. Just a real chat about fit.

businessakshun@gmail.com →

Or simply reply to the message that brought you here.

💼 LinkedIn 🌐 Full website 📄 Resume
every generic recruiter email vs. this pitch
cold emails vs this one
every generic
applicant
Hiring managers
& Founders
No hard feelings

Glad you stopped by,
MDIS Consulting.

Timing isn't always right — but the GTM architecture is here whenever you need it.
No follow-up pressure. Just an open door.

businessakshun@gmail.com →
💼 LinkedIn 🌐 Full website 📄 Resume