Every strong reward system starts with fairness. But as communities grow, data can get messy. Duplicate accounts slip in, users connect multiple wallets, or a CSV import gives someone double points. Over time, those small inconsistencies can distort leaderboards, break campaign balance, and chip away at user trust.

Absinthe’s new Point Deletions & Cleanup Rules feature solves that problem. It gives teams full control to remove unwanted data, correct mistakes, and protect the integrity of their reward economy without technical friction.

Reward transparency is not just about seeing who earned what. It is about making sure every action is legitimate and accurately reflected in the system. When a campaign runs on unverified data, it risks inflating totals, misrepresenting achievements, or even rewarding bots.

A clean system prevents that. With Absinthe’s cleanup tools, teams can maintain data hygiene across every identity type, campaign, and transaction. That means fewer disputes, stronger compliance, and a healthier ecosystem that users can trust.

Clean data also saves hours of manual debugging. Instead of digging through spreadsheets or contacting developers, campaign managers can identify and remove problematic data in seconds.

Absinthe’s Point Deletions interface gives you three simple ways to manage and maintain your reward data:

• Delete Identity: Remove all data linked to a specific user identity such as Absinthe ID, wallet address, Solana, Discord, Twitter, GitHub, or email. Perfect for removing fraudulent users or duplicates.

• Delete Point Source: Target and delete entire sources of data, like a CSV import or event-based upload that assigned incorrect points.

• Delete Row: Find and remove specific transactions by ID or bulk delete through CSV upload for precision cleanup.

Every action is logged and validated before it is executed, ensuring your edits are deliberate and traceable.

1. Select your deletion method: identity, point source, or individual row.

2. Search or upload the relevant ID to preview its data.

3. Validate the details before confirming deletion.

4. Absinthe automatically cleans the records across your connected systems.

Whether you are fixing an accidental bonus, removing test data, or deleting duplicate users, the entire process happens safely and instantly.

• Marketers can fix over-rewarded campaigns in seconds without waiting on engineers.

• Developers can clean staging data before launch.

• Community managers can remove fake or repeat accounts that skew results.

• Auditors can verify compliance by ensuring every dataset reflects real activity.

It is fast, reliable, and built for transparency.

Reward programs only work when everyone believes the system is fair. Absinthe’s Point Deletions & Cleanup Rules give you the confidence that every point in your ecosystem is earned, verified, and accurate.

Because a clean system builds trust, and trust builds communities.