Reporting coverage
LinkedIn Ads metrics & breakdowns
Explore the metrics and breakdowns available through Adzviser's LinkedIn Ads connector. Start with these examples or search the complete catalog.
Metrics
Browse all 80 metrics
- Reach
- Impressions
- Clicks
- CTR (%)
- Company page clicks
- Landing page clicks
- Other engagements
- Total engagements
- Engagement rate
- CPC
- CPM
- Total spent
- Total spent (USD)
- Likes
- Comments
- Shares
- Reactions
- Follows
- Viral clicks
- Viral impressions
- Viral likes
- Viral comments
- Viral shares
- Viral follows
- Viral company page clicks
- Viral landing page clicks
- Viral other engagements
- Viral total engagements
- Viral external website conversions
- Viral external website post click conversion
- Viral external website post view conversions
- Viral full screen plays
- Viral reactions
- Opens
- Sends
- Text URL clicks
- Action clicks
- Ad unit clicks
- Lead generation mail contact info shares
- Lead generation mail interested clicks
- Leads
- Lead form opens
- Viral leads
- Viral form opens
- Cost per lead
- Lead form completion rate (%)
- Conversions
- Post-click conversions
- View-through conversions
- Conversion rate (%)
- Cost per conversion
- Total conversion value
- Return on ad spend
- Video views at 25%
- Video views at 50%
- Video views at 75%
- Video views
- Video completions
- Viral video starts
- Viral video completions
- Viral video views at 25%
- Viral video views at 50%
- Viral video views at 75%
- Full screen plays
- Video starts
- Viral video views
- Download clicks
- Headline clicks
- Subscription clicks
- Talent leads
- Average dwell time
- Viral download clicks
- Document first quartile completions
- Document midpoint completions
- Document third quartile completions
- Document completions
- Viral document first quartile completions
- Viral document midpoint completions
- Viral document third quartile completions
- Viral document completions
Breakdowns
Browse all 44 breakdowns
- Account name
- Campaign name
- Campaign ID
- Campaign status
- Campaign total budget
- Campaign start date
- Campaign end date
- Ad set name
- Ad set ID
- Ad set status
- Ad set type
- Ad set objective type
- Ad set optimization target type
- Ad set cost type
- Ad set daily budget
- Ad set total budget
- Ad set unit cost
- Ad set start date
- Ad set end date
- Ad ID
- Ad status
- Ad type
- Ad direct sponsored content name
- Ad title
- Ad text
- Ad destination URL
- Ad thumbnail URL
- Conversion ID
- Conversion name
- Conversion type
- Conversion enabled
- Conversion value
- Conversion currency
- Member company size
- Member industry
- Member seniority
- Member job title
- Member job function
- Member country
- Member region
- Member company name
- Serving location
- Placement
- Device
Setup
Connect LinkedIn Ads MCP in three steps
Connect LinkedIn Ads to Adzviser
Create a workspace. In Adzviser, sign in to LinkedIn Ads and allow Adzviser to read its reporting data.
Connect Adzviser to your AI assistant
For Claude, choose Adzviser in the connector directory. For ChatGPT, add the Adzviser plugin. For another supported AI tool, use https://mcp.adzviser.com/http.
Ask your first question
Open Adzviser in your AI assistant and ask what you want to know about LinkedIn Ads.
Quick connection check
List my connected LinkedIn Ads accounts and show the Adzviser workspace for each. After I choose one, return "Return on ad spend" for the last 7 complete days.
Try a deeper analysis
Analyze LinkedIn Ads budget allocation for the workspace I choose during the last 30 complete days. For each campaign, show: Daily Budget, Actual Spend, Leads, Cost per Lead, and Budget Utilization %. Identify underspending campaigns with strong CPL and overspending campaigns with poor CPL. Recommend a new budget distribution that maximizes lead volume at an efficient cost.
Prompt ideas
LinkedIn Ads prompts to try
Weekly Campaign Performance Summary
Get a weekly overview of your LinkedIn Ads KPIs.
Budget Allocation Optimizer
Find the ideal budget distribution across campaigns.
Week-over-Week Trend Detection
Spot performance shifts and anomalies week over week.
