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LinkedIn Ads Full Course 2026 | Complete Beginner to Advanced Tutorial
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Summary of the LinkedIn Ads course tutorial
When LinkedIn Ads is useful (B2B vs B2C)
The tutorial explains that LinkedIn Ads is strong for B2B lead generation and also works well for HR / job applicant goals, while B2C is less effective.
Key use cases mentioned:
- Lead generation for businesses
- Hiring / recruiting (reaching job applicants)
Core prerequisites: Company Page + Ad Account setup
To run LinkedIn ads, you need:
- A LinkedIn Company Page
- An Ad Account
Steps to create a Company Page (as described in the tutorial):
- Go to the profile/company management area
- Choose Create Company Page
- Select page type options (including that “company page” is sufficient for the tutorial context; “showcase” may be a sub-brand)
Ad account association matters
- A page without billing/payment configuration may show “Advertise Today”
- After correct billing is set up, the associated page/dashboard can show that ads can be created immediately
Campaign Manager terminology (hierarchy)
The tutorial emphasizes the structure:
- Campaign: defines the goal/objective (e.g., awareness, consideration, conversion; leads/job applications)
- Ad Set: the targeting layer (e.g., location, audience)
- Ad: the creative layer (e.g., image/video/copy/URL)
Ad account dashboard areas + planning/reporting concept
The course covers sections like:
- Overview / Plan
- Audience planning
- Media plan
A Media Plan is presented as a preparation tool to:
- estimate budget and placements
- generate a structured report to share with stakeholders/clients
Audience tools: predictive, matched, company targeting
Audience options discussed:
- Predictive Audiences: useful when there’s enough historical account data
- Matched Audience: similar to Customer Match; audiences “match” your data
- Companies targeting: B2B targeting using company engagement lists
Brand safety + publisher inclusion/exclusion
The tutorial mentions Brand Safety controls:
- Include or exclude publishers
- Use upload/block lists to control where ads appear
Naming change / hierarchy clarification
The speaker notes a LinkedIn UI terminology update:
- “Campaign Groups” was renamed to “Ad Sets” to align with other ad platforms and reduce confusion
Test, measurement, tracking, and conversion tracking necessity
- Test: supports A/B testing
- Measurement: depends on conversion tracking to evaluate outcomes like:
- page visitors
- form clicks
- impressions
The tutorial stresses:
- Conversion tracking is non-negotiable for website conversion campaigns
- For simpler objectives like website visits, tracking may be optional/less relevant depending on the campaign logic used
Assets, access, and Business Manager hierarchy
Topics mentioned:
- Assets (creative/media)
- Partnerships and access control
- Account Settings and URL parameters
Access management
- Business Manager is positioned as a top-level place to manage multiple pages/ad accounts
- Recommended when managing many ad accounts
Campaign creation: objectives and the funnel concept
The tutorial repeatedly uses a funnel model:
- Awareness → get people familiar
- Consideration → encourage engagement
- Conversion → drive leads/sign-ups/actions
Splitting campaigns using multiple Ad Sets
- Example: separate Ad Sets by city (e.g., Mumbai vs Pune) or by audience segments
Budget optimization
- Budget can be allocated at:
- campaign level or
- ad set level
- Which one depends on whether budget optimization is enabled
Delivery types: Classic vs Accelerated (AI-driven)
- Classic
- more manual control
- settings emphasize user-defined options
- Accelerated
- more AI assistance
- automatically prepares things like audience signals/placement signals
- still requires experimentation to understand performance
Ad formats on LinkedIn (creative options)
The tutorial lists several ad types; key ones include:
- Single image ads
- Carousel / Cross-image (image variants)
- Video ads
- Spotlight ads
- Conversation Ads and Message Ads (in inbox)
- Conversation Ads: multiple CTAs up to a certain count
- Message Ads: more limited/focused
- Lead Gen Forms / Instant Forms
- Document Ads (download-style thought leadership)
- Text-based ads
- Newsletter ads
- Event ads
- Connected TV ads
- Mentions “Learn More”-style CTAs and feed placements
Targeting options (detailed)
Key targeting dimensions:
- Geographic:
- select country
- optionally exclude specific areas
- Language
- Audience selection by:
- buyer groups / categories
- company attributes (industry, size, funding stage, business type, growth rate)
- demographics & education (degree/field of study)
- job experience:
- job function
- seniority
- member interests/skills and member trade groups
Refinement example
- Selecting a job function can drastically reduce audience size
- Then excluding additional attributes narrows it further
Placement and LinkedIn Audience Network
Ads can run on:
- LinkedIn only
- or extend to LinkedIn Audience Network (third-party professional publishers)
Tradeoff described:
- larger audience vs more controlled placement/cost
Budget + schedule basics
Supports:
- Daily budget
- Lifetime budget
Optimization metrics mentioned:
- Reach vs Impressions
- Frequency capping (limit how often a person sees the ad)
Ad creation workflow: “Draft with AI” vs manual
The tutorial demonstrates two ways to create ads:
- Draft with AI
- pulls from company page / website content
- generates creative variations (image, copy, CTA placement)
- Manual
- upload images
- enter headline/description/URL and CTA manually
Campaign objective examples covered
- Reach / Follower campaign
- Optimized around follower engagement (e.g., follow/career visit type CTAs)
- Consideration: Website Visits
- Optimized for landing page clicks
- Conversion tracking may be optional/ignored since no specific conversion action is required
- Consideration: Engagement
- Optimized for engagement clicks/impressions (per tutorial framing)
- Video Views
- Conversion: Lead Generation (LinkedIn Lead Gen Forms)
- Optimization options:
- Leads
- Qualified Leads (more intent)
- Tutorial advice: clicks aren’t recommended when lead objective is the goal
- Optimization options:
Lead Gen Forms vs Instant Forms
Lead Gen Forms
- Collect user info on LinkedIn using form templates
- Common fields include: name, country/region, job title, company, work email
- Includes validation (email confirmation-style behavior implied)
- Includes privacy policy + confirmation/thank-you steps
Instant Forms
- Pre-fill using profile data
- Reduce friction by asking only extra questions not already available in profile
- Example: relocation yes/no
- Can support booking flows (tutorial mentions adding a Calendly link)
Website conversions campaign: conversion tracking + GTM setup (key tech section)
A major technical section explains that for website conversion campaigns, you must set up conversion tracking, and it recommends:
- Google Tag Manager (GTM) for flexibility/scalability
How the tutorial describes the GTM process
- Install GTM code on your website (using Tag Manager rather than repeatedly embedding vendor tags)
- Use LinkedIn’s tag template inside GTM (via template gallery)
- Create a GTM tag for LinkedIn conversion events (example: “ECP Lead Form Submission”)
- Trigger logic:
- use an event trigger tied to the thank you page or form submission event
- Testing:
- submit a test lead
- confirm the event fires in GTM
- then publish GTM changes
- Create the conversion action in LinkedIn Ads (e.g., “Lead Form Submission” tied to the relevant ECP/conversion ID)
Why this matters
- Without correct tracking, website conversion results won’t be reliable
- The tags must fire correctly on the form submission / thank-you flow
Job ads / recruiting targeting use case
The tutorial ends with a recruiting scenario:
- shows promoting Posted Jobs via LinkedIn’s job posting ads
- implies tracking can be aligned with job-related objectives using conversion tracking concepts
Main speakers / sources (as referenced in the subtitles)
- Primary speaker: a tutor/host (name not clearly stated in the subtitles)
- Course/platform reference: “Social Mussala”
- Tools/platform references mentioned:
- LinkedIn Ads (Campaign Manager)
- Google Tag Manager
- LinkedIn ecosystem terminology (including structure similar to other ad platform concepts)
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