Optimizing priority fees on Solana requires understanding both the global fee market and local fee markets. Solana does not have a single global mempool — instead, fees are localized per program account. A heavily used DEX may require much higher fees than the global median, while a simple SOL transfer may need only a minimal priority fee.

Key best practices include: always simulate transactions before sending to get an accurate CU estimate; use dynamic fee estimation rather than hardcoded values; set a compute unit limit close to actual usage (with a small buffer) to avoid paying for wasted CUs; and monitor local fee markets for the specific accounts your transaction touches.

For DApps, consider letting wallet providers like Phantom handle priority fees automatically — they dynamically adjust based on network conditions, reducing complexity for end users.

Phantom Developer Docs

During normal network conditions, Medium priority (50th percentile) is sufficient for most use cases. Reserve High (75th percentile) for time-sensitive operations like arbitrage, NFT minting during popular launches, or any transaction where failing due to congestion is unacceptable. The 95th percentile is typically needed only during extreme network load or MEV-sensitive scenarios.

Also consider jitter — adding slight randomness to your fee values prevents predictable fee patterns that could be exploited. For high-frequency trading bots, implement exponential backoff with increased priority fees on retry attempts. Always log fee data to track costs over time and calibrate your fee strategy based on real transaction success rates.