Author: stella@footprint.network
As crypto gains mainstream traction, network congestion and gas wars lead to volatile fees that erode user budgets. But what if transaction costs could be optimized by leveraging wallet address intelligence?
Wealth of Cost-Saving Signals
Wallet profile analysis on platforms like Footprint unearths data like:
Granular Fee Analysis: Segment fees by time intervals and network activity to pinpoint low-cost cycles.
Top Wallet Movement: Follow “whales” timing cheap transactions during low congestion.
Pending Transactions: Estimate priority fees based on current network workloads.
Protocol Interactions: Quantify claimable airdrops and token rewards offsetting net costs.
Step-by-Step Fee Reduction Strategies
Equipped with these signals, here is how wallet monitoring enables cost savings:
Regularly check gas price graphs to identify low-fee windows.
Prioritize batch transactions after sudden gas spikes subsidizing future transfers.
Analyze historical fees by network/protocol to minimize costs.
Track top wallets to mirror their transaction patterns.
Estimate priority fees needed using pending transaction data.
Ethereum Daily Average Transaction Fees in 2023
Supercharge Savings
Platforms like Footprint transform fragmented wallet data into transaction fee intelligence — no coding required.
Slash crypto transfer costs today with Footprint’s robust wallet analytics toolkit. Or schedule a meeting to see custom insights for your assets.
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What is Footprint Analytics?
Footprint Analytics is a blockchain data solutions provider. It leverages cutting-edge AI technology to help analysts, builders, and investors turn blockchain data and combine Web2 data into insights with accessible visualization tools and a powerful multi-chain API across 30+ chains for NFTs, GameFi, and DeFi.
Product Highlights:
Data API for developers.
Footprint Growth Analytics (FGA) for GameFi projects.
Batch download for big-size data fetch.
View the data dictionary to explore all data sets Footprint provides.
Check our X post (Footprint_Data) for more product updates.