Case Study: DeCharge Buzz Campaign

Introduction: The Problem With Web3 Marketing Metrics

Launching a token in today's Web3 landscape means fighting for attention nobody trusts. Engagement is cheap, bots are everywhere, and most marketing campaigns cannot tell a project which clicks were real, which users were human, and which numbers will survive scrutiny. This is the problem Buzz by ChainGPT was built to solve. Buzz is an outcome-based campaign engine that rewards verified impact: qualified clicks, real conversions, and completed on-chain and in-app actions, rather than raw posting volume. When DeCharge, a Solana-based DePIN network deploying real EV charging infrastructure, needed pre-TGE momentum that translated into actual users, they ran a full Buzz campaign on ChainGPT Pad. Over eight weeks, a $150,000 $CHARGE reward pool became one of the most active campaigns in the platform's history. This case study breaks down how it worked and what the numbers show.

The Challenge: Verified Growth Before TGE

DeCharge came into the campaign with four requirements that traditional Web3 marketing struggles to deliver:

• Pre-TGE momentum ahead of a token listing
• Verified, bot-filtered traffic instead of inflated vanity metrics
• Multi-platform distribution beyond a single social channel
• Real product usage, routing users into the DeCharge ecosystem rather than stopping at impressions

Key Features: How the Buzz Campaign Engine Works

Every Buzz campaign runs on the same five-step engine:

• Set the Pool. Reward buckets are configured across Buzz Links, quests, stakers, and referrals.
• Distribute Everywhere. Participants receive unique trackable links to share across X, Telegram, Discord, YouTube, LinkedIn, Instagram, and the open web.
• Drive Real Actions. In-app and on-chain quests convert attention into product usage.
• Grade for Quality. AI scoring plus rolling integrity audits derank bots and reward real humans.
• Snapshot and Settle. Automated verification locks results and distributes rewards to high-impact users.For the DeCharge Buzzdrop, the $150,000 pool was split across Buzz Links (40%), $CGPT Stakers (25%), On-chain Quests (20%), and In-app Quests (15%), with a referral overlay paying participants 10 to 20 percent of the points earned by users they brought in.

The Results: By The Numbers

Over the campaign window (May 12 to July 7, 2026), the DeCharge Buzzdrop delivered:

• 23,361 registered Buzzers
• 662,230 total clicks driven through Buzz Links
• 85.1% qualified traffic rate (563,446 verified clicks)
• 296,404 quest completions from 10,045 unique users
• 3,858 pieces of content created across platformsThe headline stat is the qualification rate. In a market where bot-inflated engagement is the default, 85.1 percent of all traffic surviving verification is the number that separates a campaign that trends from a campaign that converts. Here's the section rewritten without a table. I converted the per-destination data into a ranked bullet list, which reads cleanly in any blog CMS and actually works better for the narrative because it lets you lead with the insight rather than making readers parse a grid.

Technical Deep Dive: Where the Traffic Went

Full-funnel attribution is a core Buzz capability. Every click was tracked to its destination, and the spread shows how far the campaign reached beyond a single platform:

• Website (decharge.network): 186,282 clicks, 172,722 qualified
• X profile: 149,821 clicks, 119,801 qualified
• Telegram community: 96,516 clicks, 75,025 qualified
• Discord: 70,654 clicks, 51,847 qualified
• Instagram: 59,343 clicks, 55,234 qualified
• YouTube: 55,725 clicks, 51,071 qualified
• LinkedIn: 43,889 clicks, 37,746 qualifiedNearly half of all qualified traffic went to destinations beyond X, validating the multi-platform model. Buzz Links work wherever a community lives, and the attribution follows. The quest layer told an even more important story. Of 296,404 completions, over 220,000 were scans through DeCharge's AI Scout, the project's location-discovery product. Participants didn't just complete one-time social tasks. They used the product, repeatedly. That is retention-grade engagement generated by a marketing campaign.

Benefits: What This Means for Projects Launching on ChainGPT Pad

The DeCharge campaign demonstrates what outcome-based campaigns are designed to deliver:

• Verified reach. Every reward tied to qualified clicks, verified conversions, or completed actions.
• Product adoption, not just awareness. In-app quests routed tens of thousands of users into the DeCharge ecosystem.
• Full attribution. Projects see exactly which creators, channels, and content drove results.
• Leaderboard integrity. Rolling audits deranked bots and adjusted manipulated scores throughout the campaign, protecting honest participants and the project's budget.
• Distribution at scale. Direct access to ChainGPT's audience of 1M+ followers on X and 500,000+ Telegram users, plus managed co-marketing throughout.As Dr. Prakash Kamaraj, Co-Founder of DeCharge, put it during the campaign AMA: "The Buzz Drop is one of the most unique campaigns we've seen so far compared to some of the competitors."

Conclusion

The DeCharge Buzzdrop shows what happens when a launch campaign is engineered around verification instead of volume: 23,361 participants, over half a million qualified clicks, and 220,000+ real product actions, all fully attributed and audited before a single reward settled. For Web3 projects preparing a token launch, the takeaway is simple. Attention is easy to buy. Verified outcomes are what move a launch. Ready to turn your launch into verified growth? [Book a call with the ChainGPT Pad team] to design your Buzz campaign. ‍