Category: Uncategorized

$160k Revenue in 8 Months — OneDigitalz ABM Strategy

Posted on by Muhammad Ahmad
  • Generated $160K in revenue within 8 months
  • 32% response rate across target accounts
  • 21 new web app builds secured
  • 183 target accounts engaged through strategic ABM

Context

  • Client: OneDigitalz (cutting-edge software development specialising in e-commerce platforms and healthcare management apps)
  • Timeline: 8-month intensive ABM campaign
  • Channels: LinkedIn outreach for brand awarenesess Cold email, Direct mail, content collaboration, events
  • Audience: Decision-makers in e-commerce and healthcare sectors needing custom software solutions
  • Goal: Generate a qualified pipeline and revenue through strategic account-based marketing

Strategy at a glance

  • Precision account targeting using Clay.io and LinkedIn Sales Navigator to prioritize high-value prospects bringing maximum ROI potential.
  • Complete buying committee mapping within prioritized accounts, crafting ICPs with disqualification criteria and tier segmentation using firmographic data.
  • Multi-phase execution approach spanning foundation (2 months), implementation (3 months), and optimization (3 months) for systematic market penetration.
  • Omnichannel orchestration combining intent data, ICP insights, and leading indicators across LinkedIn, email, direct mail, and events.
  • Direct mail as BOFL strategy for Tier 2 segments, creating high-touch conversion experiences that close enterprise deals.

What I did

1) Strategic foundation

  • Set up goals and mindset alignment with management team
  • Analyzed current state, including win/loss analysis, internal processes, expertise, and existing assets
  • Conducted comprehensive customer research to define motivation and blocking reasons
  • Defined unique value proposition and positioning through detailed research campaigns

2) Account prioritization and targeting

  • Prioritized accounts that bring maximum value using Clay.io and LinkedIn Sales Navigator
  • Identified complete buying committee structures in prioritized accounts
  • Crafted ICPs with disqualification criteria and tier segmentation using firmographic data
  • Built segment and list infrastructure for systematic outreach

3) Demand generation

  • Planned content collaborations and LinkedIn outreach to validate buying stages and drive demand and awareness.
  • Created content for each stage of the buying journey
  • Promoted best-performing content based on engagement metrics
  • Implemented omnichannel campaigns and generated demand

4) Multi-channel execution

  • Executed multi-channel outreach with intent data, ICP targeting, and leading indicators
  • Planned events for need and urgency validation
  • Rebuilt and refined web presence for better proposal conversion
  • Identified and leveraged media opportunities, webinars, and regional advertising

5) High-touch conversion

  • Executed direct mail campaigns for Tier 2 segments
  • Closed deals using direct mail as bottom-of-funnel strategy
  • Optimized CRO and decreased churn through analysis and refinement
  • Revisited go-to-market goals and optimized sales funnel

Content system

  • Buying journey content: Stage-specific assets from awareness through decision
  • Demand generation materials: Thought leadership pieces, case studies, educational resources
  • Sales enablement assets: Proposals, demos, closing collateral, and playbooks
  • Multi-format approach: Written content, podcasting, webinars, direct mail pieces, and event materials

Results

MetricResultImpact
Revenue Generated$160,0008-month campaign
Target Accounts183Strategic account focus
Response Rate32%Cross-channel average
New Web App Builds21Primary deliverable

Download the step-by-step process to check messaging and other tasks

onedigitalz case study 30 sec videos .mp4

Why it worked

The systematic 3-phase approach ensured thorough foundation building before execution. By mapping complete buying committees and using tier-based segmentation, we could deliver the right message through the right channel at the right time. Direct mail as a bottom-funnel tactic provided the high-touch experience needed to close enterprise software deals.

Timeline

Phase 1 (2 Months): Project analysis, win/loss deal analysis, segment and list building, ICP definition, customer research, UVP development, content creation for buying journey

Phase 2 (3 Months): Implementation of omnichannel campaigns, demand generation, web refinement for proposals, ABM campaign execution, media opportunities and regional advertising

Phase 3 (3 Months): Churn reduction, CRO optimisation, analysis and refinement, go-to-market goal revisit, execution resource assignment, sales funnel optimisation

Client testimonial

  • Client: OneDigitalz (Software Development)

“Creative, logical and data-savvy. Meghana is the full-package marketer that any company can only wish to work with. She’s an absolute gem in understanding the big picture and Analytics.”

Notes

  • Team structure: Subject matter expert, 1 SDR, and 1 ABM manager per segment
  • Key metrics tracked: Engagement from target accounts, win rate, revenue, churn reduction, CAC
  • Tools and platforms: Clay.io, LinkedIn Sales Navigator, direct mail platforms, CRM, marketing automation HeayReach
  • Specialization focus: E-commerce platforms and healthcare management apps requiring secure, scalable solutions
  • Success factors: Account-first approach, complete buyer mapping, omnichannel orchestration, high-touch bottom funnel”

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7‑Figure Revenue Engine — Video Content and Social Media

Posted on by Muhammad Ahmad
  • Built a 7‑figure revenue engine for a mobile‑first service that blends expert phone repair with a digital platform for technician training and customer support
  • Scaled discovery and engagement via YouTube, Facebook, and LinkedIn
  • Converted demand with customized email offers and community‑driven interactions

Context

  • Model: A digital platform for technician training and customer support (service + learning hybrid)
  • Channels: YouTube Live, LinkedIn, Facebook Groups, email
  • Audience: ICP active in communities and social platforms
  • Goal: Generate qualified pipeline and revenue via video content and social distribution

Strategy at a glance

  • Authority first: Long‑form SME interviews to earn trust and surface insights
  • Clips that retain: 3–4 minute edits optimized for watch time and recommendations
  • Orchestrated distribution: Platform‑native posting + targeted boosts to compound reach
  • Community interactions: AMAs and comment‑led follow‑ups to capture declared intent
  • Segmented conversion: Offers mapped to topics consumed and problem statements

What I did

1) Audience building and authority

  • Ran live interviews with subject‑matter experts and influencers to borrow credibility and reach
  • Hosted recurring “Ask us anything” sessions to invite direct ICP interaction
  • Leveraged LinkedIn, Facebook Groups, and community platforms as primary traffic sources

2) Content repurposing engine

  • Sliced long interviews into 3–4 minute clips optimized for retention and shareability
  • Repurposed assets from multiple angles per client persona to expand surface area
  • Applied SEO tags and keyword research to rank for competitive terms and build compounding traffic

3) Paid amplification and social growth loops

  • Boosted high‑performing clips to accelerate discovery on YouTube Search, Facebook, and LinkedIn
  • Ran giveaways to seed engagement and keep the brand present in the community
  • Mixed organic and paid placements to create consistent touchpoints

4) Conversion and follow‑through

  • Deployed customized offers via email, tailored to content consumed and problem statements
  • Consulted with external experts when needed to strengthen execution and velocity
  • Maintained active DM and comment‑thread follow‑ups post‑live sessions

Content system

  • Long‑form live interviews → snackable clips → carousels and threads → email recaps → SEO posts
  • Platform‑native formats to maximize recommendations and watch time
  • Editorial calendar aligned to ICP problems, not product features

Results

  • 7‑figure revenue created from the program across 7 months
  • YouTube subscribers grew from 3,680 to 9,299 (+153%)
  • Engaged subscribers and community members increased by 56%
  • New client engagement up 22%, measured as first‑time service actions (first bookings or initial support activations)
  • Retention metrics improved by 56% (video watch‑time and session duration)
  • Strong recommendation loops on YouTube and social due to clip retention
  • Consistent inbound from ranked pages on priority keywords

Baselines and time window

<aside>
🕒

  • Watch‑time improvement from 18% to 46% over 6 months
  • CTR improvement from 0.5% to 3%.
  • Program window: → February 2021- Septmber 2022
    </aside>

Why it worked

  • Authority first, then amplification: SME co‑marketing built trust faster than brand‑only content
  • Clips optimized for retention triggered platform recommendations and compounding reach
  • Community interactions plus personalized email offers closed the loop to conversion

Notes

  • Tools and tactics included: SEO tagging, keyword research, community giveaways, social boosting, influencer collaboration, segmented email offers
  • I can append exact KPIs and screenshots once you share the numbers

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$50K Budget, 27% CTR Lift — Cole Haan’s , Full-Funnel PPC Playbook

Posted on by Muhammad Ahmad

Summary

  • The campaign drove a 27% increase in CTR, reduced cost-per-lead by 32%, improved CPA by 18%, for the First-Time Buyer pool.
  • Managed $50,000 budget with dynamic reallocation to top-performing campaigns.
  • Conducted A/B and multivariate testing on ad copy, bidding strategies, and landing pages.
  • Implemented GA4 and HubSpot tracking for full-funnel visibility.
  • Applied negative keyword lists and location targeting to refine traffic quality.
  • Avoided location extensions to prioritise online conversions.
  • Adjusted strategy for seasonal fluctuations.

Context

  • Grow the First-Time Buyers pool through the website while improving CPA by at least 15%.

Strategy at a glance

  • Full-funnel PPC approach across Google Ads, Meta, and YouTube with dynamic budget allocation and audience segmentation.

What I did

  • Designed and executed a full-funnel PPC strategy across Google Ads, Meta, and YouTube, allocating budget based on performance and buyer intent.
  • Search Campaigns (30%)
    • Launched brand and competitor keyword campaigns to defend brand terms and capture high-intent traffic.
    • Built dynamic search ads targeting high-demand product pages for broader keyword coverage.
  • Shopping Campaigns (30%)
    • Developed a catch-all campaign for top-performing categories.
    • Created Performance Max campaigns with asset groups segmented by product category, ad copy, visuals, and remarketing audiences.
  • YouTube & Display (20%)
    • Ran YouTube campaigns targeting influencer channels for product launches and awareness.
    • Used display placements on industry sites to grow email subscribers and attract new buyers.

Results

  • CTR increased by 27%
  • Cost-per-lead reduced by 32%
  • CPA improved by 18%
  • Significant lift in First-Time Buyer acquisition, tracked and optimized via GA4 and HubSpot dashboards

Why it worked

  • Full-funnel targeting: Campaigns were designed to reach users at every stage—from awareness to conversion—ensuring no gaps in the buyer journey.
  • Smart budget allocation: The $50K budget was distributed across high-performing channels (Search, Shopping, YouTube, Display) and dynamically reallocated based on live performance.
  • Intent-driven segmentation: High-intent keywords, competitor targeting, and dynamic product ads captured users actively searching for solutions.
  • Creative + data synergy: A/B testing and multivariate experiments refined messaging, visuals, and CTAs to boost engagement and reduce CPL.
  • Automation + tracking: GA4 and HubSpot dashboards enabled real-time optimization, while automation streamlined campaign management.
  • Platform leverage: Performance Max and YouTube campaigns tapped into Google’s algorithm and influencer reach to scale visibility and conversions.

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24 New Clients in 9 Months — ERP US Market Entry

Posted on by Muhammad Ahmad

Summary

  • Won 24 new clients in 9 months
  • 28% response rate from targeted outreach
  • 914 accounts engaged through pilot ABM strategy
  • Successfully launched Singapore-based ERP provider into US market

Context

  • Channels: Account-based marketing, content marketing, direct outreach
  • Audience: US-based businesses needing ERP solutions
  • Goal: Market entry and client acquisition for Singapore-based ERP provider

Strategy at a glance

  • Market research and ICP refinement by analyzing account responses to identify high-value verticals and regions that maximize conversion potential.
  • Collaborative territory mapping with sales team to select high-potential US regions that align with Ideal Customer Profile for initial campaign rollout.
  • Value-first engagement strategy using company culture quotes as conversation starters, creating genuine connection points before any sales approach.
  • Content-led nurturing approach with promised reports and booklets that provide value while identifying “Jobs to be Done” in target accounts.
  • Hyper-personalized follow-up leveraging initial engagement data to tailor subsequent outreach and build familiarity before sales conversations.

What I did

1) Market Intelligence, ICP Refinement & ABM-Ready Segmentation

  • Analyzed past clients to understand who buys, why they buy, and how our service solves their key pain points.
  • Collaborated with Sales to map high-potential regions and build a prioritized ABM list (914 accounts) using firmographic + behavioral data.
  • Created clear ICP tiers and disqualification criteria, clustering accounts into ICP, Future Pipeline, and Active Focus.

2) Sales-First Content System + Value-First Engagement

  • Repurposed case studies into objection-handling assets, industry demos, guides, and unified content for prospects + customers.
  • Ran a culture-focused value-first engagement play (quotes, insights) positioned as market research, earning higher response rates + trust.
  • Published quotes in campaigns/blogs to create social proof, while surfacing buyer pains, JTBD, and operational gaps.

3) Multi-Channel Demand, Nurture & Relationship Building

  • Activated podcasts, webinars, small-group workshops, and inbound programs to surface intent and accelerate deals.
  • Used promised reports/booklets to nurture early engagement and deepen understanding of each account’s JTBD.
  • Leveraged familiarity from value-first plays for smoother conversations, personalized follow-ups, and higher-quality sales pipelines.

4) Conversion Optimization + Automation (AI + n8n)

  • Used insights from culture-engagement and content interactions for hyper-personalized outreach and deal acceleration.
  • Maintained consistent touchpoints through content delivery, event signals, and tailored follow-ups.
  • Automated scoring, segmentation, and workflows with AI + n8n so Sales/Marketing could focus on personalization, trust, and high-value conversations.

What I Did (4-Step End-to-End ABM System)

1) Built the ABM-Ready Foundation (Days 0–20)

Analyzed CRM data, win/loss notes, sales calls, and channel performance to refine the ICP with firm disqualification criteria.

Created three segmentation clusters—ICP, Future Pipeline, and Active Focus—to prioritize accounts by buying committee structure and readiness.

Outcome: A Sales-aligned, prioritized ABM list designed for relevance, not volume.

2) Created a Sales-First Content System (Days 20–40)

Repurposed case studies and existing assets into problem-led, insight-driven content that addressed adoption gaps, slow decision cycles, and BI limitations.

Built industry-specific demos, guides, and one unified content system used across both prospect and customer journeys.

Every asset was designed to: answer an objection, trigger intent, or move an account toward conversation.

3) Launched Multi-Channel Demand + Engagement Motions (Days 45–90)

Podcast (weekly): Captured buyer insight through SMEs, clients, and partners; repurposed into clips, newsletters, battlecards, objection sheets, and ROI tools.

Webinars (quarterly): Partner-led sessions with polls and live Q&A; intent signals pushed straight to SDRs.

Small-group workshops: Invite-only, high-trust, hands-on sessions that created demos, POCs, and expansion plays.

In-person ABM activations: AI + intent data for attendee targeting; live engagement capture; 24–48h personalized follow-up.

Inbound support: Blog content, newsletters, targeted persona ads, and programmatic ABM to warm accounts and capture intent.

4) Automated & Scaled with AI + n8n (Ongoing)

Used AI and n8n to automate scoring, segmentation, follow-ups, and content routing—turning manual workflows into scalable pipelines.

This freed Sales + Marketing to focus on analysis, personalization, trust, and high-value conversations rather than admin work.

Content system

  • Culture-focused blog posts featuring target account quotes
  • Educational reports and booklets promised as engagement incentives
  • Market entry messaging tailored to US business landscape
  • Account-specific insights used for personalized follow-up

Results

MetricResultImpact
Target Accounts914—
Response Rate28%Above industry average
New Clients Won24Successful US market entry
Timeline9 monthsRapid market penetration

Why it worked

The culture quote approach created genuine engagement before any sales pitch. By leading with value and curiosity rather than product features, we built familiarity and trust that made subsequent sales conversations feel natural rather than intrusive.

Workflow

Client testimonial

“Meghana skillfully bridges the gap between sales and marketing with strategic insights and innovative approaches that drive business success. Her excellent communication and keen attention to detail have helped her craft well-structured strategies and playbooks, making her tactics both repeatable and scalable for long-term growth.”

Notes

  • Platforms and tools: ZoomInfo, HubSpot, Clay
  • Strategy: Pilot ABM approach with culture-first engagement
  • Market: Singapore-based ERP provider expanding to US market
  • Key success factor: Value-first relationship building before sales approach

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AI & Automation-Driven Account Engagement with n8n

Posted on by Muhammad Ahmad

Summary

I designed an automated call analysis and CRM enrichment workflow using Fireflies, HubSpot, OpenAI, Gmail, n8n, and Zapier to capture meeting transcripts, extract actionable insights, and automatically feed them into sales and marketing systems. The workflow analyzes discovery and demo calls, identifies follow-up opportunities, tracks sales potential, and generates internal performance insights.

Results: Saved ~10 hours per week, enabled 200+ additional SDR touchpoints, contributed to 3 closed deals, and boosted CRM enrichment by 40%.

Context

  • Client: FigPii
  • Timeline: Continuous GTM workflow implementation
  • Channels: Fireflies transcripts, HubSpot CRM, email, internal team notifications
  • Audience: SDRs, Account Executives, Marketing team
  • Goal: Improve conversion efficiency, enhance follow-ups, and generate actionable insights from calls

Strategy at a glance

  • Trigger workflow when Fireflies sends a new transcript
  • Analyze call content using OpenAI to extract summaries, action items, and sales opportunities
  • Sync insights and tasks into HubSpot for immediate follow-up
  • Enrich CRM contacts and trigger persona-based nurturing workflows
  • Provide internal analysis for consultant performance and GTM optimization

How it worked

1. Automated Call Capture & Transcription

Webhook from Fireflies triggers when a new transcription is ready; full transcript and metadata are fetched automatically.

Why it worked: Instant capture ensured no call was missed, centralizing data for analysis.

2. Transcript Reformat & Analysis

AI reconstructs transcripts by speaker, splits sentences, and summarizes meetings in HTML dot points.

Why it worked: Created digestible summaries for teams, saving hours of manual processing.

3. Extract Action Items & Follow-Ups

Action items, client interests, and potential sales opportunities synced into HubSpot custom properties.

Why it worked: SDRs and marketing teams could act immediately, generating more qualified follow-ups.

4. Personalized Nurturing & Task Creation

Curated questions uncover client interests beyond core services (e.g., events, partnerships). Workflow auto-assigns follow-up tasks.

Why it worked: Enabled 200+ additional SDR touchpoints, ensuring timely engagement.

5. Performance Analysis & Sales Insights

AI evaluates consultant performance and produces HTML reports. Sales and marketing teams get actionable insights.

Why it worked: Improved GTM performance visibility and guided strategy refinement.

Results

  • ~10 hours/week saved through automation
  • 200+ additional SDR touchpoints, leading to ~15 new SQLs
  • 3 deals closed faster due to timely and consistent follow-ups
  • 40% improvement in CRM enrichment
  • Real-time actionable insights for marketing and sales

Client testimonial

Meghana excels at selecting high-fit accounts using data-driven insights, not guesswork. She proactively identifies funnel gaps and creates effective campaigns without waiting for requests. Her cross-functional collaboration and strategic focus make her more than a marketer—a true partner :

Khalid Saleh

Co-Founder at FigPii

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Built AI Intelligence System That Replaced 6sense — Saved $17K, Won 14 New Clients

Posted on by Muhammad Ahmad

How a zero-budget AI intent engine replaced 6sense and converted 18% of strategically selected accounts

Client: FigPii / Invesp — CRO SaaS | Timeline: Sep 2024 – Jul 2025

Executive Summary

MetricResultImpact / Context
Target Accounts78 (strategically selected)Precision over volume
New Clients Won14Successful pipeline conversion
Conversion Rate18%Account-to-client (Well above industry average)
ARR Per Client~$10KImmediate revenue impact
Account Profitability+23%Via expansion & reactivation
Sales Cycle Reduction15–25%Through nurture journey design
Manual Work Eliminated40%Via AI workflow automation

Context & Overview

  • Client: FigPii / Invesp — Conversion Rate Optimisation (CRO) SaaS
  • Market: B2B SaaS — ecommerce and product-led companies
  • Challenge: No defined ICP, broad unfocused targeting, zero intent tool budget
  • Goal: Build a focused ABM programme that generates pipeline and closes clients
  • Tools: n8n, Clay, Apify, Claude, HubSpot
  • Channels: LinkedIn, email, direct mail, private events, content-led nurture

The Problem

FigPii was targeting everyone. No ICP. No scoring. No intent layer. Budget was too limited for tools like 6sense or ZoomInfo.

The challenge: Run a 1:1 ABM programme at scale, with full personalisation, on a lean budget — and build the intelligence layer from scratch.

Strategy at a Glance

  • Built a custom ICP scoring model from existing customer data — not generic firmographics.
  • Strategically selected 78 accounts from a broad pool based on fit signals — not assigned, chosen.
  • Replaced 6sense with a self-built AI intent engine using 6 automated sequences.
  • Ran private coaching sessions and content-led events to warm executive buyers.
  • Built a post-event follow-up playbook feeding directly into bottom-of-funnel plays.
  • Automated scoring, segmentation, and outreach so every account got the right play at the right time.

What I Did — Step by Step

Step 1 — Built the Truth Base (Days 0–20)

Analysed existing FigPii customers to find what actually predicts fit. The signals that mattered were specific:

Customer SignalScoring Impact
Web traffic above 50,000+10 points
Running paid ads+10 points
Unstructured landing pages on ecommerce sites+10 points
Having an AB test developer or product owner+10 points
Using tools like Hotjar+10 points
Using a direct competitor tool-10 points

Execution: Apify scraped LinkedIn profiles, company pages, and the web. Clay enriched the account list. Claude cross-referenced enriched customer data against the broad prospect pool and identified the signal clusters that actually predicted conversion — not assumed ones.

Outcome: A scoring baseline built on real customer truth, not guesswork.

Step 2 — Scored Into Buckets, Not Tiers (Days 20–40)

Pulled a broad list, enriched it with the same signals as the customer list, then scored every account into one of four buckets:

  • SAM — Strong fit, target now
  • TAM — Good fit, nurture for later
  • Others — Low priority
  • Exclude — Disqualified

n8n ran the scoring logic automatically and pushed accounts into the right HubSpot buckets. No spreadsheets. Claude stress-tested the scoring weights against real customer data.

From the broad pool — 78 accounts were strategically selected for SAM. Not assigned. Chosen.

Step 3 — Built the AI Intent Engine (No Budget for 6sense)

Built a 6-sequence AI workflow engine that replicated what 6sense does — using n8n, Clay, Apify, Claude, and HubSpot.

SequenceNameWorkflow & Function
1Account IdentificationApify scrapes hiring activity, product releases, competitor moves, LinkedIn posts on a schedule.
2Intent ScoringClaude reads the raw signal dump and assigns a priority flag per account — hiring spike, product launch, event-led, content push, silent, or community active.
3Contact IntelligenceApify pulls LinkedIn activity per contact; HubSpot surfaces full interaction history; Claude builds the job to be done per person.
4PersonalisationClaude combines persona, contact history, and live account signal — the message only goes out when all three are connected.
5Routing DecisionClaude decides which play fires; n8n executes automatically — no human in the loop.
6Asset GenerationWhen a prospect requests something, Claude searches the full content library and generates a branded personalised PDF in under 2 minutes.

This system eliminated the need for 6sense, ZoomInfo, or any paid intent platform — and cut agency spend entirely.

Step 4 — Private Events & Executive Engagement

Ran private coaching sessions and open content-led activities to warm executive buyers inside target accounts. These were not brand-awareness events — they were designed to identify buying intent, surface objections, and create direct conversion opportunities.

  • Private coaching sessions for product owners and AB test practitioners
  • Content-led group activities that surfaced jobs to be done per account
  • Event attendance signals fed directly into HubSpot and triggered the follow-up sequence

Result: Attendees directly influenced pipeline, increased account engagement, and converted to clients.

Step 5 — Post-Event Follow-Up Playbook & Bottom-of-Funnel Execution

Built a structured playbook that activated immediately after every event interaction. The playbook covered:

  • Trial conversion campaigns — personalised to what the attendee engaged with
  • Proposal acceleration — tailored assets addressing the specific gap surfaced at the event
  • Executive stakeholder outreach — targeted the decision-maker above the event contact
  • Direct mail — high-touch physical touchpoint for accounts showing strong buying signals
  • Demo conversion campaigns — personalised invitations based on event engagement data

Every play triggered automatically by n8n. No manual triage.

Why It Worked

  • Precision over volume: 78 accounts chosen for fit, not because they were in a territory or industry.
  • AI did the repeatable work: Scoring, enrichment, routing, and sequencing ran without human input.
  • Three-dimensional personalisation: Every outreach combined persona, contact history, and live account signal — not a template.
  • Events were pipeline plays, not brand plays: Private sessions created conversion opportunities, not just awareness.
  • The system compounded: Account intelligence refreshed every 90 days automatically — the longer it ran, the sharper it got.

Tools & Infrastructure

ToolFunction
ApifyScraped LinkedIn profiles, company pages, job listings, landing page structure, and tool stack signals on a schedule.
ClayAccount sourcing, enrichment, and initial list building.
n8nAutomation layer — ran scoring, refreshed intelligence, triggered sequences, updated HubSpot.
ClaudePattern recognition, intent scoring, job-to-be-done diagnosis, personalisation briefs, routing decisions, asset generation.
HubSpotCRM — stored all account intelligence, contact history, deal data, and sequence tracking.

Client Testimonial

“Meghana excels at selecting high-fit accounts using data-driven insights, not guesswork. She proactively identifies funnel gaps and creates effective campaigns without waiting for requests. Her cross-functional collaboration and strategic focus make her more than a marketer — a true partner.”

— FigPii / Invesp

Talk to Me About Similar Results

  • LinkedIn: Open profile
  • Email: meg.bhate@gmail.com
  • Phone: +48 533 579 077