Marketing Operations & Growth Marketer

Marketing that
compounds.
Systems that scale it.

Most companies cannot tell which marketing actually makes money. I build the systems that can, and I use AI to run them at the scale of a whole team. That is what turns spend into pipeline, and answers the question every CEO asks: which campaigns are actually working?

See the work Get in touch
70% AI citation score, #1 cited brand in category
Richa Padhi, Marketing Operations & Growth
+25%
QoQ MQL growth
#1
AI cited brand
#1
cited brand in AI search
€625K+
marketing-generated pipeline
70%
AI citation score, Sep 2026
94%
attribution gap closed
What I do

One marketer. Three layers of impact.

Most teams split strategy, systems, and execution across three people. I run all three, and use AI to operate at a scale one person shouldn’t reach.

I can set up the systems, run the campaigns, and prove what worked, without needing three separate hires to do it.

Marketing Operations & RevOps

CRM architecture, lead scoring, attribution (knowing exactly which ad or page produced each lead), and dashboards that let leadership answer “which campaigns produce revenue?” with a real number. HubSpot from scratch across 5,000+ contacts, €625K+ pipeline tracked to source.

HubSpot · Attribution · Lifecycle automation

AI-Powered Growth Systems

Autonomous agents that audit ad accounts every morning, connectors that answer analytics questions in plain English, and content engineered to be cited by ChatGPT and Perplexity. AI as infrastructure, not a chatbot shortcut.

Claude API · n8n · MCP · AEO/GEO

Demand Generation

Paid campaigns across Google, LinkedIn, Meta, and Microsoft, with ICP research (defining the ideal customer worth selling to), structured A/B testing, and CRM underneath so every lead is scored, routed, and attributed. +25% quarter-over-quarter growth in marketing qualified leads.

Google Ads · LinkedIn Ads · CRO · ICP targeting
70%
AI citation score, up from zero (Sep 2026)
€625K+
marketing-generated pipeline, traced to source
+25%
MQL growth, quarter over quarter
94%
unknown attribution eliminated
Selected work

Systems I’ve shipped. Numbers they produced.

Every project is real, in production, and built end to end. The number on each card is the business outcome, not the tool used to get there.

Marketing Operations

Proved marketing generated €625K+ in pipeline

Fifteen forms, 94% unknown attribution. I ran the campaigns that generated the pipeline, then rebuilt tracking and built the dashboards that show leadership exactly how much pipeline marketing creates.

€625K+
pipeline generated
94%
attribution fixed
65×
conversion gap
Read the full build
// Form performance audit · 15 forms
Contact Us · 16,602 views
  ↳ conversion: 0.59%
Webinar signup
  ↳ conversion: 38.79%
Finding: 65× outcome gap, same traffic
→ Redirected budget to intent-matched forms
CONVERSION BY FORM (sample) 38.79% 0.59% avg winner
Demand Generation

+25% MQL growth, quarter over quarter

ICP research into targeting and messaging. A/B testing as a system, not a one-off. CRM underneath so every lead was scored and attributed across Google, LinkedIn, and Microsoft Ads.

+25%
QoQ MQL growth
15–20%
conversion lift
Read the full build
AEO / AI Search

From invisible to #1 cited brand in AI search

Restructured the website so AI engines could trust and quote it. Tracked citation and sentiment weekly in HubSpot. At a 70% citation score and category leader as of September 2026.

70%
AI citation score, Sep 2026
#1
cited in category
10+
JSON-LD schema types
Read the full build
AI Agent

An agent that does the first 90 minutes of paid media, every day

Built an agent that reviews Google, Meta, and Microsoft Ads every morning, flags CPL spikes, summarises performance, and recommends stronger ad angles — posted to Slack at 9AM, zero touch.

3
ad platforms daily
9AM
zero touch
Read the full build
CRO · SEO · Project Lead

A brochure site rebuilt into a lead generation engine

Led a 4-person team through a 4-month rebuild. 15+ lead magnets, intent-based pop-ups, a qualifying chatbot, 18 pages rewritten around ICP pain points. 92% SEO score at launch.

92%
SEO score at launch
15+
lead magnets
Read the full build
HubSpot Automation

Contact routing and webinar ops, all-manual to zero-touch

Conditional routing so each query goes to the right specialist. End-to-end webinar automation from registration to reminder email. No human steps required.

100%
webinar ops automated
4
routing branches
Read the full build
Analytics · AI Tool

Analytics you can ask — answered from live data in seconds

A connector linking website and search data to an AI assistant. “Which pages lost clicks after the last update?” used to take 20 minutes by hand. Now it takes one question.

2
data sources unified
Seconds
vs 20+ min
Read the full build
Lead Ops · ICP Scoring

Every inbound lead scored against ICP before anyone touches it

A pipeline that enriches every inbound contact, scores ICP fit automatically, and routes high-fit leads into HubSpot nurture. Sales only talks to the right people.

80%
less manual research
Auto
ICP routing
Read the full build
Automation · Attribution

A marketing ecosystem that promotes, tracks, and listens 24/7

Blog posts auto-promoted on LinkedIn. Every LinkedIn lead traced to the exact ad. Every brand mention on Reddit flagged in Slack in real time. Three systems, one always-on loop.

100%
LinkedIn conversions
4–5+
brand mentions/day
Read the full build
How it works

Inside the systems I build.

Click through to see the actual workflow behind three of the projects.

1

Audit current content

Check what ChatGPT, Perplexity, and Google AI Overviews cite for the category’s key questions.

2

Restructure for answer engines

Add self-contained answer blocks, FAQ schema, definitions, and comparison tables AI engines can directly quote.

3

Track citation and sentiment

Weekly HubSpot property updates with citation score, sentiment, and which competitors are being cited instead.

4

Iterate on gap topics

Any question that cites a competitor instead becomes a content brief for the following week.

AEO citation score tracked weekly in HubSpot, climbing from 0% to 64% over the first eight weeks and ranking #1 in categoryFirst eight weeks of tracking. The score is updated regularly and sits at 70% as of September 2026.
1

Scheduled scrape

Apify runs every Monday morning, scraping Meta and LinkedIn ad libraries for all tracked competitors.

2

Claude classification

Each ad’s hook, angle, offer type, and creative format classified in one API call per ad.

3

Trend detection

New angles this week vs last week. Which competitor is scaling which message. Angle mix shift detected.

4

Branded PDF to Slack

Digest published to Slack and a live URL every Monday. Team sees competitive landscape without opening a single ad library.

Weekly ad intelligence agent output: competitors scraped, ad angles classified, PDF digest posted to Slack
1

Audit all conversion points

Every form, chatbot, and phone number mapped. 15 forms found, conversion rates pulled from HubSpot.

2

Trace traffic to source

UTM parameters retroactively cleaned. GA4 and HubSpot synced. 94% of “unknown source” contacts resolved.

3

Rank paths by performance

Form-level conversion rate, lead quality score, and deal progression rate combined into one ranked table.

4

Redirect budget and effort

Spend shifted from the 0.59% forms to the 38.79% form types. Dashboard built so leadership can see it live.

15 forms feeding into recovered attribution, resolving to 625K+ of marketing-generated pipeline
Open source

Tools I built and shipped publicly.

Three systems designed, built, and open-sourced. Anyone can install them. These show what I build when I’m not solving someone else’s problem.

Competitor Ad Intel

Competitor Ad Intelligence Agent

Scrapes Meta and LinkedIn ad libraries, classifies each creative’s angle and hook with Claude, and publishes a branded weekly digest. Catches what competitors say before your team notices.

PythonClaude APIApifyMCP
View on GitHub
Growth Ops Agents

Growth Ops Agents

Nine specialized agents handle competitor analysis, content strategy, technical SEO audits, and weekly reporting. Auto-setup onboarding configures the system to any company in minutes.

Claude CodeMulti-agentSEOn8n-ready
View on GitHub
AI Content Engine

AI Content Engine

Takes a keyword to a publish-ready draft in ten minutes — voice-matched, AEO-optimized for AI search, with every step saved so you fix only the part that needs work.

Claude SkillsAEO/GEOContent OpsWordPress
View on GitHub
Stack

Tools I’ve shipped with, not just listed.

Everything here has been used to build something in this portfolio.

AI & Automation
Claude API
n8n
MCP servers
Clay.com
Zapier
Google Apps Script
GitHub · VS Code
CRM & Marketing Ops
HubSpot Marketing, Sales, CRM
Lead scoring & lifecycle
Nurture workflows
Attribution modelling
Salesforce · Marketo
Paid Media
Google Ads
LinkedIn Ads
Meta Ads
Microsoft Advertising
LinkedIn Conversions API
Data & Analytics
GA4 · Google Tag Manager
Google Search Console
SQL · Looker Studio
Power BI
SEMrush · SparkToro
SEO / AEO / Content
AEO / GEO / LLMO
JSON-LD schema markup
WordPress · Magento
Technical SEO
Entity SEO · Wikidata

Building a B2B SaaS marketing function? Let’s talk systems.

If you need someone who can architect the CRM, deploy the AI agents, write the copy, and defend the numbers, I’m one email away.

richa.r.padhi@gmail.com · LinkedIn → GitHub →