Find wasted LinkedIn Ads spend in 15 minutes.
Seven patterns. One prompt.

RoleYou are auditing my LinkedIn Ads account for wasted spend. Most B2B SaaS accounts have 20–35% waste across seven structural patterns that LinkedIn's default settings create. Your job is to find every pattern and return a prioritized action list I can execute today in Campaign Manager.

ICP ParametersTarget job functions: [Engineering, IT, Product, Operations]
Excluded job functions: [Sales, Business Development, HR, Admin, Student, Retired]
Seniority floor: [Manager and above, exclude ICs]
Company size floor: [51 employees, exclude micro-companies]
Target industries: [B2B SaaS, Software, IT Services, FinTech]
Target CPL: [$150]
Time window: [last 30 days]

TaskPull all campaign, demographic, and schedule data from the last 30 days via growthspree-mcp linkedin_ads connector. Then evaluate against seven waste patterns:

1. Non-ICP job function drift
   Pull demographic performance by job function. Calculate spend on excluded functions (Sales/BD/HR/Admin/Student). Flag any excluded function with >5% of spend.

2. Wrong seniority bleeding
   Pull demographic performance by seniority. Calculate spend on below-floor seniorities (Entry, Individual Contributor). Flag if below-floor spend exceeds 15% of total. Note: "Senior" in LinkedIn includes senior ICs, exclude them if targeting decision-makers.

3. Company-size drift
   Pull demographic performance by company size. Calculate spend on companies below floor (under 51 employees). Flag if sub-51 spend exceeds 10% of total.

4. Undersized matched audiences
   Identify all Matched Audiences with fewer than 5,000 members. Flag CPCs above $20 in these audiences, tiny audiences inflate CPCs severely. LinkedIn's algorithm needs volume to optimize.

5. Dayparting waste
   Pull performance by day-of-week and hour-of-day. Calculate spend on weekends (Sat + Sun) and off-hours (midnight–8 AM ET on weekdays). Flag if weekend + off-hours spend exceeds 25% of total. LinkedIn has no native dayparting. This requires manual budget toggling or third-party scheduling.

6. 80/20 account concentration
   For campaigns targeting a list of companies, calculate what % of impressions concentrated on the top 20% of accounts by impression volume. Flag if it exceeds 75%. This means mid-market accounts are being starved.

7. Underfunded retargeting
   Calculate retargeting campaign spend as % of total. Flag if under 10%, retargeting is almost always the highest-converting LinkedIn campaign type. Undercalibrated retargeting is leaving pipeline on the table.

Output format1. Executive headline: total waste identified, waste rate %, biggest single pattern
2. Seven-pattern breakdown: for each, show spend, status (clean/flagged), estimated monthly waste
3. Top 10 job functions by spend with conversion rate (to surface hidden drift)
4. Prioritized action list: 6–8 specific actions ranked by monthly savings: job-function exclusions, seniority filters, size floors, audience consolidations, dayparting schedule, retargeting budget shift
5. Flag which actions are zero-risk (exclude demographics that converted zero) vs. hypothesis-driven (shift budget to retargeting)

// Campaign Manager doesn't natively support dayparting, surface the recommendation even if the account can't act on it via the platform directly.
// If the account uses no Matched Audiences, skip pattern 4.
// If the account has fewer than 100 conversions in the window, flag CPL-based conclusions as low-confidence.