Built for telli
A personal case · Founding Marketing Manager

Which telli outreach path should we
prioritize for AI phone calls that convert?
Validate, test, then operationalise.

telli’s promise is sales phone calls that convert, with AI handling every customer call. My relevant proof includes 50% faster ROI measurement through cohort tracking and multi-channel attribution; I would apply that validation discipline as Founding Marketing Manager.

✉ businessakshun@gmail.com
Hi telli, I have a proposition
HI telli,
I HAVE A PROPOSITION
36x+
Peak ROAS achieved
Performance
400%
Organic traffic growth
SEO / GEO
−80%
Manual SDR effort saved
Automation
6+
Years across growth, paid & automation
General

A clear promise needs testable demand learning.

telli’s value proposition is clear—AI phone calls that convert—yet its public footprint presents a falsifiable tension: search hygiene, channel coverage, and consent-safe measurement may not yet provide dependable demand-learning inputs. This matters for a Founding Marketing Manager because messaging and acquisition decisions should be informed by validated customer signals. I would test the tension by requesting and validating measurement behavior, prioritizing page-level search repairs, and comparing structured response patterns across measured outreach experiments.

Target Role
Founding Marketing Manager
Open to discussion — I go where I make the most impact
Location & Mobility
Nürnberg / Berlin 🇩🇪
Relocation anywhere in Germany · Remote / Hybrid · EU Work Auth
Company
telli
telli.com
Availability
Hired
Currently employed · Not seeking new roles

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
🔍
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
JS
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

My directly relevant proof is 400% organic traffic growth while reducing crawl errors by 40%, plus 50% faster ROI measurement through cohort tracking and multi-channel attribution. I would bring that method to telli: validate search and measurement inputs first, then use structured results to decide what merits iteration or scale rather than forecasting a repeat outcome.

💡 Day-90 decision gate
For telli’s AI Sales Agent messaging, scale when established structured customer signals show clear, repeatable resonance with AI phone calls that convert; iterate when signals are mixed or measurement remains incomplete; stop when validated customer signals consistently reject the core proposition.

I already did some
homework.

Hypothesis: This assessment synthesizes verified identity, positioning, and web footprint data to guide marketing leadership priorities for telli. It translates external search, ad tag, and measurement signals into actionable go-to-market hypotheses.

⬡ Observations · telli
Full analysis available on request
Fit Score: 100/100 (HIGH_FIT)
ACCOUNT FIT SCORE
100/100 HIGH_FIT
  • 📈
    Consent-Safe Measurement Infrastructure — Public digital presence signals indicate Cookiebot (declared, observed script), Google Analytics / GTM (declared, observed script), Meta Pixel (declared), and PostHog (declared) across 2 web pages. Does current analytics configuration ensure complete attribution and consent compliance before scaling paid marketing initiatives? Audit tag manager fires, consent banner triggers, and client-side tracking events to establish a reliable, privacy-compliant data foundation. Validating this measurement stack enables confident budget allocation and accurate conversion tracking across early marketing campaigns.
  • ⚡
    Acquisition Channel Mix — Public tag evaluation detects active Google Ads and Google Tag Manager deployments, while Meta Ads and LinkedIn Ads remain unobserved on public pages. How efficiently can telli expand beyond search intent capture into proactive B2B demand creation on social networks? Test targeted LinkedIn campaign concepts and evaluate customer acquisition cost metrics against active search channels. Defining channel diversification experiments allows marketing leadership to establish scalable outbound demand generation channels.
  • 🔍
    Organic Search Optimization — An SEO audit across 5 pages revealed 5 title issues, 5 meta description issues, schema present on 2 pages, and 99 of 103 images missing alt tags. Will unoptimized metadata limit organic search visibility and inbound demand generation for core AI voice solutions? Resolve title tags, meta descriptions, image alt attributes, and structured data schemas across core website pages. Repairing these technical search signals increases organic discovery efficiency and captures buyer search intent.
  • 🎯
    Product Positioning and Signal — First-party positioning highlights AI phone calls reducing costs by 70%, while core responsibilities prioritize feeding structured customer signals directly into product strategy across 2 collaborating functions including engineering and marketing. How efficiently can early prospect insights shape both marketing campaigns and feature roadmaps? Establish a structured customer feedback loop to capture buyer objections, messaging resonance, and product requests during market outreach. Standardizing signal capture aligns product messaging with market demand and accelerates product-market fit.
  • ✓
    telli presents clear core value proposition messaging around AI voice agents automating outreach and boosting sales engagement by 3X.
  • 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.
hover to meet the person behind the marketer →
Akshun Dogra
The man behind all of this.
Akshun Dogra · Technical Growth Marketer
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 telli
AKSHUN X telli
Let's talk

This page was built
specifically for telli.

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

businessakshun@gmail.com →

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Glad you stopped by,
telli.

Timing isn't always right — but the details are here whenever it is.
No follow-up. No pressure. Just an open door.

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