Prabhjyot Kaur

The DevOps Tools campaign targeted both B2C and B2B audiences. As the marketing manager, I oversaw the entire strategy and execution, ensuring seamless integration across multiple channels, including SEO, paid search, paid display, paid and free social media, and a centralized content hub.

The strategy was crafted based on the jobs-to-be-done framework to address the specific needs of advanced beginners and senior professionals in DevOps. The campaign featured high-quality content such as detailed blog posts, an in-depth whitepaper, a practical cheat sheet, a template library, and an engaging sizzle reel. These pieces were housed in a central content hub designed to facilitate content bingeing and increase user engagement.

Key elements included personalized demos and sales calls, leveraging tools like LinkedIn Sales Navigator for precise prospecting. The campaign’s execution focused on SEO optimization, targeted paid ads, and engaging social media content, all aimed at meeting the just-in-time learning needs of the audience.

Using this integrated approach, we saw a 30% increase in content engagement, a 15% reduction in bounce rates, and an improvement in lead quality, with a cost per lead of under $20.

At TorkeHub, I was in charge of developing a content strategy to attract and engage B2B decision-makers in industries such as SaaS, finance, and healthcare.

I started by conducting exhaustive audience research, identifying specific needs around AI content marketing, and then paired this with a comprehensive keyword analysis.

The content hub didn’t just consist of blog posts; it included educational pillar pages, real-life case studies, technical white papers, and interactive tools that provided immediate value to users.

Collaborating with the development and SEO teams, I ensured our hub was technically flawless—optimizing for page speed and mobile responsiveness and integrating structured data to enhance search engine visibility.

I initiated a backlink strategy to strengthen our domain authority. I connected with industry influencers and secured guest posts and mentions on high-authority sites.

Within six months, the results were undeniable: a 50% increase in organic traffic, 55,000+ monthly visitors, and top three rankings for critical keywords like “AI-driven content automation.”

Our lead generation pipeline saw a significant boost, as inbound inquiries doubled thanks to the trust and credibility we had built.

As part of AiTorke’s overall marketing strategy, I developed and executed multichannel demand generation campaigns that spanned email marketing, social media, webinars, and downloadable lead magnets such as ebooks and AI-powered tools.

The goal was to engage prospects at various stages of the buyer journey, from awareness to decision-making. I crafted a tailored content approach for each channel, ensuring that the messaging was consistent but adapted to the platform’s strengths.

For instance, on LinkedIn, we ran targeted ads that highlighted case studies showcasing AiTorke’s impact on content marketing automation.

For email marketing, I built segmented workflows that nurtured leads through a series of educational emails, each progressively demonstrating more value.

Webinars were used as a major lead generation tool, often co-hosted with industry influencers to attract high-level decision-makers.

Through consistent nurturing and targeted messaging, the campaigns effectively moved prospects through the funnel, resulting in high-quality leads and increased conversions.

As the lead marketer, I crafted a strategy to achieve 600,000 users with an 8% conversion rate for MailVox. For B2B, I focused on customer support teams, sales teams, and remote collaboration tool users. Using LinkedIn Sales Navigator for prospecting, we planned personalized demos and sales calls, targeting to generate $2,000,000 from high-ticket accounts.

For B2C, we focused on viral marketing through gamification, referral programs, and rewards. Our social media strategy aimed for a robust presence on all major platforms, leveraging user-generated content and influencer partnerships via InfluencerVox. Content marketing efforts included SEO, keyword research, backlink building, and producing high-quality blogs, whitepapers, and newsletters.

Additionally, we launched segmented email campaigns and retargeting ads. To drive sign-ups and optimize lead generation, we proposed SEM, Performance Max, and Meta campaigns.

This multi-faceted approach was designed to position MailVox as a leader in the video email communication industry.

I led the digital marketing strategy for a bi-annual Learning Week, designed to offer free access to our entire course library for a week. This initiative significantly boosted content and lab consumption, leading to 40,000 more signups compared to regular months. Follow-up sales promotions generated substantial revenue.

My role involved setting ad budgets, establishing KPIs, and planning multi-channel promotional activities before each Learning Week. I coordinated with the content team to create compelling promotional emails, ad copies, site banners, landing page content, and YouTube scripts.

To nurture new users, we crafted email sequences detailing daily learning journeys based on their knowledge and goals. We hosted webinars with industry experts throughout the week to enhance engagement and provide added value.

Post-campaign, we ran Google and Meta’s conversion optimization ads, focusing on the Learning Week landing page to convert users to paid customers. We tracked user sources and doubled down on effective platforms in subsequent months.

The success of these campaigns highlights the impact of a targeted digital marketing strategy on user acquisition and revenue.

I developed a comprehensive content hub for AiTorke, focusing on AI-powered content marketing solutions designed to attract and educate B2B SaaS decision-makers. This involved the creation of pillar pages, detailed product guides, and technical blog content optimized for high-intent keywords like “AI-driven content automation” and “scalable content marketing solutions.”

The content strategy emphasized in-depth case studies and use cases to demonstrate how AiTorke’s solutions could address the most pressing challenges that in-house marketing teams and content agencies face.

I also spearheaded the integration of an SEO-driven content plan, targeting long-tail keywords and high-intent search queries to capture organic traffic.

Through a mix of technical SEO practices (site speed optimization, mobile optimization, on-page SEO) and continuous content refreshes, we ensured that the hub consistently ranked for competitive search terms, establishing AiTorke as a thought leader in the AI marketing space.

• 70% — Reduction in Manual SDR Qualification Time
• 3x — Faster Lead Response Time Post-Automation
• 40% — Improvement in MQL-to-SQL Conversion Rate
• **2,000+ ** — Leads Processed Monthly via Autonomous AI Workflow

• 2,000+ inbound leads/month with no automation; every lead required manual SDR review
• 6+ hour average response time; high-intent leads going cold before first touchpoint
• SDRs spending 70% of their time on triage instead of selling
• Inconsistent qualification criteria killing MQL-to-SQL conversion

• Built a multi-step AI agent workflow on n8n connecting lead intake, Clearbit enrichment, GPT-4 scoring, and HubSpot routing autonomously.
• Tiered routing: high-intent triggered instant Slack alerts with AI-drafted outreach; others entered behavioral nurture sequences
• Closed-won feedback loop retrained scoring logic monthly.

• 70% reduction in SDR qualification time
•3x faster lead response time; 6+ hours to under 2 hours
• 40% improvement in MQL-to-SQL conversion rate
• 2,000+ leads processed monthly with zero manual overhead

• 4x — Content Output Scaled Without Additional Headcount
• 120% — Organic Traffic Growth Achieved in 6 Months
• 60% — Reduction in Editorial Cost Per Published Piece
• 100% — SEO Briefs Automated via GPT-4 API Integration

• Content capped at eight pieces a month; every brief required three to four days of manual SEO research.
• Briefing consumed 60% of the total production time per piece.
• Organic traffic plateaued for two consecutive quarters due to insufficient publishing velocity.

• Built GPT-4 API briefing system ingesting Ahrefs exports, auto-generating intent classification, gap analysis, internal links, and H1/meta recommendations.
• Claude API layer generated first drafts against brand voice guidelines; editors focused on strategy and quality only.
• GA4 and Search Console integrated to auto-flag underperforming URLs for refresh

• 4x content output increase; 8 to 35 pieces/month, same headcount
• 120% organic traffic growth in six months
• 60% reduction in editorial cost per piece
• 100% of SEO briefs generated automatically

• 5x — Content Volume Increase With Zero Team Expansion
• 55,000 — Monthly Organic Visitors Sustained by AI Content System
• 38% — Faster Keyword Ranking Achieved Through Structured Briefing
• 3x — Reduction in Brief-to-publish Production Turnaround

• No repeatable content infrastructure; production was ad hoc with no SEO alignment or brand consistency
• Output capped by one part-time editor; hard ceiling on publishing velocity
• Published content not ranking due to weak topical depth and poor internal linking

• Built a 4-stage AI content ops system: keyword clustering, large language model (LLM) 1st-draft generation, human EEAT editorial review, automated on-page SEO checks before publish.
• Developed prompt libraries, quality rubrics, and style guides, standardizing output across a distributed freelance team.
• Handed off a full documented playbook for independent operation post-engagement.

• 5x content output increase with zero headcount growth
• 55,000 monthly organic visitors sustained
• 38% improvement in time-to-rank for target keywords
• 3x reduction in brief-to-publish turnaround time

• 400+ — Unique SEO-optimized Pages Deployed in One Production Cycle
• 180+ — Pages Ranking on Page One Within 90 Days of Launch
• 55% — Growth in Non-branded Organic Traffic Post-Launch
• $0 — Incremental Cost Per Page After System Build Completion

300+ valuable keyword combinations too low-volume individually to justify manual pages but significant collectively
Manual build would require 12+ months and prohibitive budget
No programmatic infrastructure, structured data architecture, or templating system in place

• Built structured data architecture in Airtable; developed dynamic Webflow templates with variable injection, auto-populating unique H1S, metas, schema, and internal links per page.
• Python scripts handled URL structure, template logic, and sitemap generation.
• 400+ pages submitted for indexing within 48 hours via automated sitemap pings

• 400+ unique pages built, indexed, and ranking in one production cycle
• 180+ pages on page one within 90 days
• 55% increase in non-branded organic traffic
• $0 incremental content cost per page after initial system build

• 14 — Target Queries Secured in Google AI Overviews Within 60 Days
• 100% — Target Pages Covered With Schema and Structured Data Markup
• 5 — Stage Proprietary AEO/GEO Framework Built and Productized
• 3 — AI Search Platforms Actively Monitored for Brand Citation Visibility

• Strong SERP rankings but zero visibility inside Google AI Overviews, ChatGPT, Perplexity, and Bing Copilot
• No entity architecture, schema coverage, or large language model (LLM) citation presence built
• No established market methodology to follow; framework had to be built from 1st principles

Stage 1: Entity architecture via structured data and Wikidata signals
Stage 2: FAQ, HowTo, Article, and LocalBusiness schema mapped to AI snippet triggers
Stage 3: Citation source targeting; identified and placed content in sources LLMs cite most
Stage 4: Conversational content rewrite matching natural language AI query patterns
Stage 5: Custom LLM monitoring stack tracking brand citations across ChatGPT and Perplexity

• 14 target queries appearing in Google AI Overviews within 60 days
• Measurable brand citation increase across ChatGPT and Perplexity within the 1st monitoring cycle
• 100% of target pages covered with schema markup

• 3.2x — ROAS Delivered Across Full Google and Meta Ad Portfolio
• 50% — CPC Reduction Achieved via AI-native Campaign Restructure
• $150,000+ — Annual Revenue Leaks Identified Through Attribution Modeling
• $60,000 — Monthly Ad Budget Managed at Peak Efficiency via PMax and Advantage+

• $60,000/month across Google and Meta on a manual pre-AI campaign structure
• ROAS plateaued; CPC rising quarter over quarter
• Last-click attribution misguiding budget allocation; no unified cross-channel view

• Rebuilt Google campaigns around PMax with 1st-party CRM audiences, accelerating machine learning (ML) cycles.
• Rebuilt Meta around Advantage+ with 15+ creative variants per cycle and GPT-4-assisted copy testing.
• Built a unified Looker Studio attribution dashboard, replacing last-click with an assisted-conversion model; Mixpanel and Metorik identified $150,000+ in misallocated spend.

• 3.2x ROAS across the full Google and Meta portfolio
• 50% reduction in YouTube CPC
• $150,000+ in annual revenue leaks identified and reallocated
• $60,000/month budget operating at peak efficiency across PMax and Advantage+

• $150,000+ — Annual Revenue Waste Identified via Marketing Mix Model
• 3.2x — ROAS Achieved After Cross-Channel Budget Reallocation
• 6+ — Marketing Channels Unified Under Single Attribution Framework
• 100% — Budget Decisions Transitioned to Model-driven Within One Quarter

• Running spend across 6+ channels with no unified revenue view
• Last-click attribution overcrediting Google and Meta; undercrediting content, email, and organic
• Budget decisions made on flawed data; high-performing channels being starved
• No visibility into channel interaction effects; teams siloed with no cross-channel optimization possible

• Audited full attribution across all channels using GA4, Mixpanel, and Metorik to map actual customer conversion paths.
• Built a custom MMM replacing last-click with a weighted assisted-conversion framework reflecting true channel contribution.
• Developed a unified Looker Studio dashboard giving leadership a single source of truth across all channels.
• Ran quarterly MMM reviews, recalibrating channel weights against closed-won data and reallocating budget.

• $150,000+ in misallocated annual spend identified and redirected to higher-performing channels
• 3.2x ROAS achieved post-reallocation across the full channel portfolio
• 100% of budget decisions moved from intuition-based to model-driven

• 3% to 8% — Free-to-paid Conversion Rate Improvement Within 90 Days
• 35% — Expansion Revenue Increase via Feature Adoption Campaigns
• 50% — Improvement in Sales Team Efficiency via PQL Prioritization
• 60% — Increase in Onboarding Completion Rate Post-redesign

• Freemium B2B SaaS converting less than 3% of free users to paid with no behavioral signal system to prioritize high-intent accounts
• Sales manually reviewing accounts with no data to guide prioritization; high-intent users going uncontacted
• Generic in-app onboarding with no personalization by role, use case, or activation milestone

• Analyzed Amplitude product usage data to identify activation milestones correlating most strongly with paid conversion.
• Built a PQL scoring model in HubSpot, weighting in-app behaviors, feature usage, team size signals, and session depth.
• Designed segmented onboarding sequences in Iterable, triggered by role and use case, guiding users to their activation milestone.
•Built a feature adoption campaign system triggering personalized upgrade prompts when usage patterns indicated plan outgrowth.

• Free-to-paid conversion improved from 3% to 8% in 90 days of PQL system deployment.
• 35% increase in expansion revenue from existing paid accounts
• Sales team efficiency improved 50%.
• Users reaching activation milestone 2x faster than baseline.

• 100,000+ — New Users Acquired Annually Through Community-led Learning Week
• 125% — Instagram Growth Achieved Through Structured Brand Advocacy Program
• 630% — Revenue Growth Driven by Ambassador and Affiliate Activation
• 535% — TikTok Audience Growth via UGC and Ambassador Content System

• Large but passive user base with no structured system to activate users
• Word-of-mouth happening informally with no way to measure, scale, or attribute it to revenue
• Learning Week driving signup spikes, but no community retention layer converting attendees into long-term users
• No ambassador or UGC program

• Mapped existing organic advocacy across forums, LinkedIn, and social to identify natural brand advocates already promoting without incentive.
• Launched a tiered ambassador program with activation incentives, exclusive content access, and co-creation opportunities, turning advocates into owned distribution.
• Built a UGC framework encouraging community members to share certifications and career wins across LinkedIn and TikTok.
• Redesigned Learning Week from a standalone campaign into a community-anchored experience with pre-event engagement and post-event nurture sequences.

• 630% growth in affiliate and ambassador-driven revenue contributions
• 535% TikTok growth driven primarily by UGC and ambassador content amplification
• Learning Week scaled to 100,000+ new users annually
• 125% Instagram growth achieved

• 13x — Affiliate Partner Base Growth From 10 to 130 Active Partners
• 630% — Revenue Growth Generated Through Affiliate Program Development
• +80% — Recruited Affiliates Converting Within 1st 30 Days of Onboarding

• 10 loosely managed affiliates generating minimal revenue with no formal program structure, activation system or performance tracking
• Partner onboarding inconsistent; new affiliates received no training, no collateral, and no clear incentive structure
• No tiered reward system distinguishing high-performing partners from inactive ones
• Affiliate revenue contribution unmeasured and unattributed

• Designed a full program structure with tiered commissions, performance bonuses, co-marketing opportunities, and milestone-based partner benefits.
• Built a complete enablement library covering onboarding guides, training materials, promotional toolkits, email swipe copy, and social content templates.
• Developed a structured recruitment pipeline targeting content creators, bloggers, and community managers across the DevOps and cloud learning space, growing base from 10 to 130.

• Affiliate base scaled from 10 to 130 active partners
• 630% growth in affiliate-driven revenue
• Affiliate channel up from a negligible contribution to the top three revenue sources
• +80% of recruited affiliates producing at least one conversion