Refund Recovery Tool

Invalid Click Refund Estimator

Estimate how much ad spend you may recover from invalid click disputes and prioritize the best next actions.

Estimated Reclaimable Spend

$10,886

Annual Recovery Estimate

$21,773

Refund Likelihood Score

73/100

Estimated Invalid Clicks / Month

1,575

Interactive Calculator

Adjust assumptions for platform-specific refund estimates.

Platform Comparison Visuals

Compare estimated reclaimable value across platforms based on the same spend and invalid click assumptions.

Disputed Spend vs Reclaimable

Cross-Platform Recovery Potential

Suggested Next Steps

  • Compile click logs, timestamps, and invalid IP ranges before filing your dispute.
  • Submit a platform refund request immediately while data freshness is high.
  • Track outcomes by platform and update your dispute workflow monthly.

Educational Refund Explanation

Invalid click refunds depend on evidence quality, platform policy windows, and dispute precision. Teams that track suspicious click patterns, timing anomalies, and campaign-level invalid activity are usually better positioned to recover spend.

If you are researching invalid click refund estimates, use this tool as a planning model to prioritize dispute workflows and improve reporting discipline before submitting claims.

Turn Disputes Into Defenses

Recover what you can, then reduce future losses with always-on invalid traffic protection from AdPurity.

Invalid Click Refund Estimator FAQ

Does this estimator guarantee a refund amount?+

No. It provides a directional estimate based on platform tendencies and your input assumptions.

Why does platform selection affect the score?+

Each ad platform has different dispute pathways, evidence standards, and historical refund behavior.

What improves refund likelihood most?+

Detailed click logs, tighter timeframe attribution, and clear invalid-traffic clustering usually improve claim quality.

Should I dispute first or improve prevention first?+

Often both. Submit strong disputes for current losses while implementing prevention to reduce future invalid click costs.