Featured Projects
Purpose
Featured Projects are projects, companies, or platforms that collaborate with Arkada using its engagement and referral infrastructure to onboard users who actively participate through quest completions.
There is no single “correct” way to work with Arkada.
Featured Projects exist to support multiple partnership models under a shared, performance-based framework, while keeping execution flexible and aligned with each partner’s specific business reality.
Infrastructure-First Approach
Arkada is an on-chain engagement infrastructure.
It provides the tooling to:
design and configure participation flows,
track quest completions on-chain,
analyze and score real user behavior,
attribute value transparently,
distribute rewards based on measurable outcomes.
This infrastructure ensures that participation is verifiable, traceable, and resistant to manipulation, unlike systems based purely on off-chain actions or surface-level engagement.
How Featured Projects Work with Arkada
Featured Projects may collaborate with Arkada in different ways, all governed by the same underlying referral and performance logic.
Depending on the partnership structure, this can include:
campaigns built around quest participation,
user onboarding driven by external distribution or traffic,
referral-based attribution tied to real user activity,
incentive structures aligned with participation outcomes.
The common denominator is always the same:
Users onboarded through Featured Project collaborations generate value only when they complete quests and meaningfully participate on Arkada.
Referral-Based Value Alignment
For Featured Projects, Arkada may apply a predefined referral share that reflects the value generated through participation.
Key principles:
Referral parameters are defined upfront.
Referral shares typically fall within a fixed range, depending on structure and scope.
Referral logic is applied from day one, without reliance on tier progression.
All attribution is tied to quest-driven value, not traffic alone.
This ensures that incentives are aligned with outcomes, not promises or reach.
Incentive & Reward Flexibility
Featured Projects may use different incentive structures, including but not limited to:
referral-based value sharing,
performance-linked reward pools,
hybrid configurations.
All incentives are governed by the same principles:
rewards scale with participation,
distribution follows measurable contribution,
outcomes are transparent and auditable.
The exact configuration depends on mutual alignment and campaign goals, rather than rigid templates.
Campaign Design & Execution
Arkada supports Featured Projects across the full execution lifecycle, including:
participation flow design,
quest and incentive configuration,
referral attribution logic,
analytics and reporting,
performance review and optimization.
The focus is always on real user interaction, not surface-level activity.
Tracking, Analytics & Transparency
All Featured Project collaborations benefit from Arkada’s infrastructure:
on-chain tracking of quest completions,
transparent value attribution,
contribution performance analytics,
user-level visibility via the Performance Hub.
There are:
no vanity metrics,
no black-box attribution,
no opaque reporting.
Governance & Integrity
To protect all participants, Arkada reserves the right to:
review collaboration behavior,
adjust configurations where necessary,
pause or discontinue setups in cases of abuse or misalignment.
This governance layer ensures fairness, sustainability, and long-term trust.
Who Featured Projects Are For
Featured Projects are suitable for partners that:
have existing distribution or user access,
value participation over clicks,
seek transparent, performance-based outcomes,
want infrastructure that scales with real usage.
Summary
Featured Projects collaborate through a shared referral and engagement framework
Arkada provides on-chain participation infrastructure
Multiple collaboration models are supported equally
Incentives are tied to real quest completions
All outcomes are measurable, transparent, and performance-driven
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