Akshun Dogra × Actindo | Senior B2B SaaS Marketing Manager application

Which Actindo demand workflow should we
test for AI-driven Composable Commerce pipeline growth?
Build automated, narrative-aligned full-funnel workflows.

Actindo requires a Senior B2B SaaS Marketing Manager to orchestrate messaging, use AI for content production, and bring commerce into flow. I previously delivered 36x+ peak ROAS while managing $50K+ AUD monthly paid-media budgets, and I would apply that measurement discipline to Actindo's operate work without forecasting the same result.

✉ businessakshun@gmail.com

Navigating Narrative Precision and AI-Driven Demand Velocity

At Actindo, scaling pipeline flow as Senior B2B SaaS Marketing Manager requires balancing high-output AI content production with exact narrative precision across Composable Commerce, OMS, and ERP modernization. Unchecked AI generation risks diluting core messaging, whereas manual review throttles demand velocity across LinkedIn, blogs, and case studies. I will validate this tension by auditing script triggers across touchpoints, establishing AI-assisted content quality benchmarks, and testing structured nurturing workflows to ensure scalable lead conversion.

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 Actindo

🎯

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

With 6+ years across growth, paid media, SEO, automation, GA4, GTM, and HubSpot, I bring direct experience executing scalable B2B demand engines. In previous roles, I drove 400% organic traffic growth where AI-driven traffic expanded from 1% to 20% and generated 10% of total leads, while reducing crawl errors by 40%. Additionally, I achieved 50% faster ROI measurement by implementing cohort tracking and multi-channel attribution frameworks.

01Days 1–30

Diagnose Script Firing & Content Positioning — I will audit existing public surface script firing patterns (GA4/GTM, HubSpot, Usercentrics) and messaging clarity to establish baseline data accuracy across customer touchpoints. This analysis produces a diagnostic audit matrix mapping messaging gaps in Composable Commerce, OMS, and ERP modernization narratives against user engagement signals. Based on these findings, we decide whether to refine script consent rules or restructure top-of-funnel positioning before scaling outreach.

02Days 31–45

Instrument AI-Assisted Content Production — I will configure an AI-assisted research and asset creation workflow to orchestrate rapid content production across LinkedIn, blogs, case studies, and landing pages. The deliverable is a standardized AI prompt-engineering playbook and content template architecture aligned with core messaging frameworks. This enables us to validate content accuracy and output velocity before deploying automated demand generation campaigns across channels.

03Days 46–75

Test Multi-Touch Funnel Conversion — I will launch controlled multi-touch nurturing sequences to test buyer engagement and bring prospective leads into a consistent pipeline flow. The deliverable is a multi-channel campaign experiment log detailing conversion rates, message resonance, and lead transition speed across key audience segments. We use these empirical results to decide which campaign variants to expand and which low-converting touchpoints to retire.

04Days 76–90

Operationalise Scalable Demand Engine — I will operate a repeatable full-funnel demand generation framework across collaborating functions—design, analytics, research, and marketing—to achieve maximum visibility and continuous pipeline growth. The deliverable is a quarterly demand playbook and cross-functional SLA governing lead scoring, sales collateral alignment, and attribution cadences. This ensures Actindo can scale pipeline throughput deterministically while maintaining brand positioning integrity.

💡 Day-90 decision gate

We scale campaign expansion across Composable Commerce, OMS, and ERP modernization segments when AI-assisted content maintains messaging accuracy while accelerating inbound lead velocity. We iterate on prompt templates, content formats, and email nurturing cadence when lead transition speed lags or engagement drops across middle-of-funnel touchpoints. We stop underperforming outbound variants immediately if attribution audits reveal consent tracking anomalies or if messaging fails to convert target accounts.

I already did some
homework.

Hypothesis: This assessment synthesizes Actindo's verified organizational profile and public digital presence to evaluate the Senior B2B SaaS Marketing Manager role. We examine messaging positioning, AI-driven content execution, full-funnel demand workflows, and privacy-conscious measurement infrastructure.

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

ACCOUNT FIT SCORE

100/100 HIGH_FIT

📈

Privacy-Conscious Measurement Stack — Public surface analysis indicates 10 valid JSON-LD blocks across 5 inspected public pages, alongside observed script tags for Google Analytics / GTM, HubSpot, and Usercentrics. While these detected scripts provide technical evidence of tag presence, they represent hypotheses for validation rather than confirmed internal analytics workflows. The incoming marketing manager should audit script firing patterns and consent management triggers across touchpoints. Establishing clean, consent-safe attribution enables confident evaluation of multi-touch campaign performance without privacy compliance risk.
⚡

Composable Commerce Narrative — Actindo positions its platform around automating processes and connecting systems to bring commerce into flow, requiring targeted B2B SaaS narratives. Future ownership involves translating technical capabilities in Composable Commerce, OMS, and ERP modernization into clear positioning for prospective buyers. The incoming leader will synthesize complex product functionality into structured messaging frameworks for key audience segments. Clarifying core value propositions enables faster buyer comprehension, shorter sales cycles, and stronger market differentiation.
🔍

AI-Powered Content & Demand — Targeted goals focus on achieving maximum visibility, continuous demand, and a scalable pipeline through high-output marketing execution. Future responsibilities demand leveraging AI technologies for research, content production, account personalization, and workflow automation across multiple channels. The role holder must establish repeatable AI-assisted asset creation processes spanning blogs, landing pages, and case studies. Building an automated content engine enables rapid asset deployment, consistent demand capture, and higher operational output without swelling team overhead.
🎯

Full-Funnel Pipeline Flow — Sustaining pipeline growth requires structured funnel design, lead nurturing, and conversion optimization that directly aligns closing-relevant materials with sales needs. Operating across 4 collaborating functions—design, analytics, research, and marketing—the manager must coordinate multi-touch campaign assets and conversion mechanics. The incoming marketer will design integrated inbound and outbound campaigns with tailored sales collateral. Establishing unified cross-functional workflows enables frictionless lead transition from initial awareness through contract closure.
✓

Actindo provides maximum autonomy to establish an AI-first marketing architecture that directly impacts enterprise growth and pipeline expansion.
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

Which Actindo demand workflow should we
test for AI-driven Composable Commerce pipeline growth?
Build automated, narrative-aligned full-funnel workflows.

Navigating Narrative Precision and AI-Driven Demand Velocity

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 Actindo.

Glad you stopped by,
Actindo.

Which Actindo demand workflow should we test for AI-driven Composable Commerce pipeline growth? Build automated, narrative-aligned full-funnel workflows.

Navigating Narrative Precision and AI-Driven Demand Velocity

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 Actindo.

Glad you stopped by,Actindo.

Which Actindo demand workflow should we
test for AI-driven Composable Commerce pipeline growth?
Build automated, narrative-aligned full-funnel workflows.

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 Actindo.

Glad you stopped by,
Actindo.