Case Study: Forgate
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Category: Web3 Prediction Markets, Trader Acquisition
Partner: ForeGate Objective: Acquire new on-chain trading users through a performance-based, task-driven model
1. Background
ForeGate is an on-chain prediction platform built on Solana, where users trade their views on sports, esports, and major real-world events. Its users are sports fans and crypto-native traders who are comfortable trying new Web3 products and placing real on-chain trades.
When ForeGate came to Klink Labs, the core challenge was acquiring new trading users, not just sign-ups, in a more scalable and performance-driven way. The goal was users who would register, experience the product, and place their first prediction, rather than only claim bonuses.
ForeGate had already tried other acquisition channels, including KOLs, affiliate partners, and paid social. What those channels lacked was a controlled incentive environment and consistent user quality. They often brought mixed-quality traffic, more bonus hunters, and a less predictable cost per real trader.
2. Objectives
ForeGate came to Klink Labs with three clear goals:
Acquire a meaningful batch of new trading users.
Test whether Klink could deliver higher-quality, more engaged users than ForeGate's existing campaigns.
Validate a CPA and task-based model that would scale for future events like the World Cup.
The campaign prioritized tier-1 and tier-2 crypto-active regions, with a focus on Europe and Asia, including markets such as Turkey and parts of Southeast Asia.
The conversion event was defined precisely: a user registers on ForeGate through Klink and completes at least one on-chain prediction trade that meets a minimum required size.
3. How the Campaign Worked?

a) Offer Design: Built Around a Real Trade
Inside Klink, the offer was structured as a simple, outcome-based task flow:
Step 1: Sign up on ForeGate through the Klink campaign link.
Step 2: Make a deposit.
Step 3: Place at least one qualifying prediction on ForeGate to unlock the reward.
Once those steps were complete, users received their reward through Klink's system. Because the reward was tied to a real, qualifying trade rather than a sign-up, the users ForeGate received had actually experienced the product and placed money on a prediction.

b) Multi-Geo Reach
The campaign ran across several countries within ForeGate's target regions rather than a single market, spanning all three tiers, so performance could be compared across geos.
c) Tracking and Verification
On ForeGate's side, the process was straightforward. ForeGate matched click IDs and on-chain actions against Klink's task completions, then confirmed eligible conversions in batches. This kept attribution clean and tied every reward to a verified on-chain action.
4. Partner Perspective

6. Key Takeaways for Advertisers
Reward the real action, not the sign-up. ForeGate's conversion event was a funded, qualifying on-chain trade rather than a registration, so the users it paid for had actually deposited and placed a prediction. That design filtered out bonus hunters and delivered traders instead of claimers.
A controlled incentive environment delivers more predictable quality. Where affiliates and paid social had brought mixed-quality traffic and an unpredictable cost per real trader, a single task-based flow gave ForeGate consistent user quality and a clearer view of what each real trader actually cost.
A verified model is one you can optimize. Because every reward was tied to a verified on-chain action, ForeGate had clean data to refine the campaign, moving registration-to-trade conversion from around 5 percent up to 12 percent over the course of the campaign.
A clean CPA playbook scales into the big moments. A performance model that worked across multiple geos and all three tiers gives ForeGate a repeatable way to acquire quality traders at scale for tentpole events like the World Cup.

High Quality Offers,
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