KOL Buy Power / Commnity Info

Kaizen’s KOL Community Analysis is built on real, immutable on-chain data not social metrics that can be faked. Unlike follower counts, likes, or views (which can be bought or inflated), on-chain transactions reveal the actual influence a KOL has over wallet behavior.

Buy Power is the aggregated capital that a KOL’s follower wallets deploy into trades giving a true signal of reach and conviction. By observing which wallets consistently buy after a KOL call, Kaizen can calculate the size, activeness, and impact of a KOL's on-chain community.

This system protects against inflated or outdated influence. For example, an influencer may were once well known or popular in the past but now struggles to move markets yet continues to buy views or boost engagement metrics to appear relevant. On-chain data cuts through this noise. Influence cannot be faked when measured by real trades, real wallets, and real capital.

Kaizen maps the wallets that follow each KOL using behavioral consistency, timing, and trade overlap turning influence into measurable, verifiable metrics.

There are two layers to this system:

• The micro level, which analyzes the behavior and profile of each individual wallet.

• The macro level, which aggregates the entire community following a KOL.

Kaizen provides insights and stats for both, giving users a complete picture of how strong and reliable a KOL’s influence is from the ground up.

Use Cases

• Understand how much real capital is following a KOL’s calls

• Compare KOLs by quality and strength of their on-chain community

• Identify early-following wallets with high buy power and strong alignment

• Assess risk of call manipulation or exit behavior based on community trends

• Filter KOLs not just by performance, but by the depth and behavior of their audience. Measures how tightly a wallet mirrors the KOL's entries, exits, and token preferences.

Community Detection

The system maps out a follower cluster that likely receives alpha or signal directly/indirectly from the KOL and puts a score on the likely hood a certain wallets follows a KOL. Once a threshold is reached we assign the wallet to the community buy power.

📊 Macro-Level Metrics

📊 Macro-Level Metrics: Community Behavior Analysis

Kaizen aggregates and analyzes behavioral patterns across the full KOL community to understand how aligned, aggressive, or reactive the group is in its trading behavior. These insights help determine the overall quality and conviction of the KOL's followers.

Behavioral Insights Include:

• Entry Timing Distribution: When do most wallets enter relative to the KOL call? (e.g., within 5 minutes, 1 hour, or delayed?)

• Hold Time Distribution: Average and mode of how long community members hold tokens before exiting.

• Sell Timing: At what % gains does the majority of the community tend to sell? (e.g., 2x, 5x, 10x)

• PnL Behavior: Are most trades exited in profit, loss, or breakeven? What's the realized vs. unrealized profit profile?

• Risk Tolerance Indicators: Avg % of capital deployed per trade, avg token concentration, % of community who enter high-tax/high-risk tokens.

• Reaction to Volatility: Do wallets sell quickly after volatility spikes or hold through dips?

• Trade Frequency: Average number of trades per day or week per wallet following the KOL.

• Capital Scaling Patterns: Do followers increase their capital allocation as a KOL performs well?

These behavioral aggregates are visualized with histograms, pie charts, and time-series breakdowns to show:

• How predictable the community is

• Whether the community mirrors the KOL’s strategy

• Signs of bot/sniper dominance vs organic traders

• Quality of conviction across wallet clusters

This layer complements Buy Power by revealing how that power behaves once deployed.

Each detected follower wallet is scored for buy power:

• Wallet liquidity (Solana/stables/ETH holdings)

• Max deployable capital per trade

• % allocated to KOL tokens

We calculate:

• Avg buy power per follower

• Cumulative buy power of the KOL community

• Active vs passive capital

🧬 Micro-Level Metrics

Wallet Classification

Wallets are classified based on:

• Balance (sol, eth, stables)

• % of token supply held

• Wallet age and activity

Classes include:

• Whale (high capital, wide exposure)

• Shark/Dolphin (mid-tier)

• Fresh Wallet (new wallet, possibly sniper or bot)

• Fish/Shrimp (retail size traders)Measures how tightly a wallet mirrors the KOL's entries, exits, and token preferences.

• Community Detection

• Buy Power Logic

• Follower Score System

• Wallet Classification (Whale, Shark, Fresh Wallets, etc.)

• Community Detection

• Buy Power Logic

• Follower Score System

Follower Score System

Each follower wallet receives a 0–100 score based on:

• Timing accuracy

• Entry consistency

• Capital commitment

• Exit alignment

• Sniper behavior penalties

• Behavioral overlap

This score powers:

• KOL influence metrics

• Strategy Builder filters (e.g. min follower score)

• Community trustworthiness insight

Macro-Level Use Cases:

• Understand how much real capital is following a KOL’s calls

• Compare KOLs by the overall size and strength of their community

• Evaluate the total buy power a KOL can mobilize

• Identify when a KOL’s influence is growing or declining

Micro-Level Use Cases:

• Spot high-performing follower wallets for strategy copying

• Analyze entry timing and capital usage per wallet

• Filter bots/snipers from true aligned followers

• Measure wallet loyalty, risk style, and conviction level

• Compare KOLs by quality and strength of their on-chain community

• Identify early-following wallets with high buy power and strong alignment

• Assess risk of call manipulation or exit behavior based on community trends

• Filter KOLs not just by performance, but by the depth and behavior of their audience. Measures how tightly a wallet mirrors the KOL's entries, exits, and token preferences.