How We Calculate Savings at Vaudit

Understanding how your audit-driven cost protections are quantified At Vaudit, transparency isn’t just a promise, it’s part of our product.

That’s why we give every client a clear, data-backed view of how much ad waste we’ve prevented, and how that translates into real financial savings.

You can view your live savings any time in the Vaudit dashboard under: Removals → Savings Calculation

We also ensure that your total savings meet or exceed our Guaranteed Performance Threshold: Savings = At least 2x your monthly Vaudit fee.

1. User Exclusions (Google Ads only)

Goal: Block invalid users to prevent future fraudulent clicks.
How it works:

• We exclude users with repeated suspicious behavior

• These users are blocked before they can click again.

How we calculate savings:

• Additions to the exclusion list: Add to your savings.

• Removals (attritions): Reduce your savings.

• The savings amount is based on the real cost of clicks that would’ve occurred.

Example:

• $100 blocked = $100 savings

• $20 removed = -$20 savings
  ➡️ Net: $80 in realized savings

Good to know: You can apply exclusions to specific campaigns or all campaigns. When set to "All Campaigns," future campaigns are automatically included. 
Read more on User Exclusions

2. Conversion Rate Optimization (Google Ads only)

Goal: Optimize campaigns by ignoring invalid clicks in conversion metrics.
How it works:

• Fraudulent clicks are assigned a value of $0

• Valid clicks are assigned a value of $1

• Google’s algorithm optimizes based on this new conversion signal.

How we calculate savings:

• Savings = Cost of all fraudulent clicks we downgraded to $0

Example:

• 1,000 fraudulent clicks at $1 CPC
  ➡️ $1,000 in prevented waste

3. AI Bidding Adjustments (Google Ads only)

Goal: Dynamically lower bids for traffic segments with high fraud likelihood.
How it works:

• We use real-time fraud signals and traffic shares to reduce bids where it matters most.

How we calculate savings:
We apply this formula:

Savings = Ad Spend × Device Share × Bid Adjustment × Fraud Rate

Example:

• Ad spend: $100

• Mobile share: 80%

• Bid adjustment: -10%

• Fraud rate: 20%
  ➡️ $100 × 0.8 × 0.1 × 0.2 = $1.60 in savings

Read more on AI Bidding Adjustments

4. Negative Audience (Meta Ads only)

Goal: Stop wasted spend by excluding users flagged as invalid across Meta campaigns.
How it works:

• Users showing signs of fraud or non-compliance are excluded from ad delivery.

• The system also tracks how often those users would’ve re-engaged (return rate).

How we calculate savings:

Savings = Daily Ad Spend × Block Rate × Return Rate

Example:

• Ad spend: $1,000

• Blocked clicks: 160 out of 2,000 (Block Rate = 8%)

• Return rate: 40%
  ➡️ $1,000 × 8% × 40% = $32 saved per day

Why this matters: Many invalid users are repeat offenders. By accounting for their return, we calculate not just what you saved today—but what you saved tomorrow too.

Read more on Negative Audience

Additional Notes

• Frequency: Savings are updated multiple times per day.

• Transparency: You can audit all data and methodologies yourself via the dashboard.

• Performance Guarantee: Monthly savings must exceed 2x your Vaudit fee, as per our Terms.

• Accuracy: As our detection models improve, we refine savings logic to reflect the most accurate impact.

 

Still Have Questions?
Contact us or explore more articles in the Vaudit Help Center.