Description

📞 Pay Per Call Marketing Course Module

🧩 Module 1: Introduction to Pay Per Call

• What is Pay Per Call marketing?

• Differences between PPC and Pay Per Call

• Industries best suited for PPCall (insurance, legal, home services, etc.)

• Understanding affiliate networks & advertisers

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🔌 Module 2: Pay Per Call Ecosystem & Tracking

• Role of call tracking platforms (Ringba, Invoca, CallRail)

• How call routing works

• Understanding dynamic number insertion (DNI)

• Call duration and quality requirements

• Integrating with Google Ads & Facebook Ads

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🎯 Module 3: Lead Generation Methods

• Google Ads (Search & Display) for calls

• Local SEO for generating inbound calls

• Landing page setup for PPCall (click-to-call CTAs)

• IVR setup and call screening

• Call-only campaigns vs. regular search campaigns

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🔍 Module 4: Keyword Targeting & Local Intent

• High-intent keyword research (ex: “plumber near me,” “car accident lawyer now”)

• Local modifier techniques

• Using call-specific match types

• Negative keyword strategy

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💰 Module 5: Working with Pay Per Call Networks

• Top PPCall networks (OfferVault, Aragon, MarketCall, etc.)

• How to get approved

• Reading offer terms (payouts, call durations, restrictions)

• Traffic compliance & avoiding bans

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🧪 Module 6: Optimization & Scaling

• Tracking ROI and call quality

• Campaign duplication across regions

• Geo-targeting strategies

• IVR tree optimization

• Dayparting for better conversion

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📄 Module 7: Legal & Compliance

• TCPA guidelines & call consent

• Disclosures for recording calls

• How to protect yourself from advertiser fraud

• Avoiding blacklisted numbers or spam traps

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Module 1: Technical SEO Mastery

• Crawlability and indexation

  • XML sitemaps

  • Robots.txt optimization

  • Canonical tags

• Core Web Vitals & Page Speed

  • Lighthouse audits

  • Mobile-first indexing

• Structured Data & Schema Markup

• JavaScript SEO

  • Rendering and crawlability of JS-heavy sites

  • Dynamic rendering vs server-side rendering

Module 2: Advanced On-Page Optimization

• Content clusters and topical authority

• Semantic HTML and accessibility

• Internal linking strategy for SEO

• Advanced keyword intent analysis

• NLP & Google’s understanding of content (BERT, MUM)

Module 3: Competitive & SERP Analysis

• Advanced keyword gap analysis

• SERP feature optimization (featured snippets, People Also Ask, etc.)

• Competitor backlink profiling

• Reverse engineering top-ranking content

Module 4: Advanced Link Building Strategies

• Digital PR and outreach at scale

• Building link-worthy assets (tools, reports, original research)

• Broken link building at scale

• Authority stacking and brand mentions

Module 5: SEO for Large & Enterprise Sites

• Managing SEO at scale (ecommerce, news, and multilingual sites)

• SEO automation with Python, APIs, and Sheets

• Log file analysis for crawl budget optimization

• International SEO (hreflang, local SERPs, ccTLDs)

Module 6: SEO Data & Analytics

• Advanced Google Search Console reporting

• SEO dashboards using Google Looker Studio / GA4 / BigQuery

• Attribution modeling and SEO ROI

• A/B testing for SEO elements

Module 7: Algorithm Updates & Penalty Recovery

• Understanding major Google algorithm updates

• Identifying and recovering from penalties (manual and algorithmic)

• E-E-A-T and Google’s Quality Rater Guidelines

Module 8: Future of SEO & AI

• AI in search (Google SGE, Bing Copilot, ChatGPT plugins)

• Prompt engineering for SEO use cases

• Programmatic SEO at scale

• The role of LLMs in content strategy