Adaptive rewards
Understand how Duzlo distributes earnings across submissions over time.
Overview
Duzlo uses a proprietary system called adaptive rewards to intelligently and automatically distribute earnings across submissions based on performance.
How it works
Once a submission is approved, it becomes eligible to receive payments through Duzlo’s adaptive rewards system for up to 7 days during the earning period.
Instead of paying all new views at a fixed rate, Duzlo allocates rewards dynamically over time based on the channel’s weekly spend limit and any active Boosts. Submissions earn relative to how they perform compared to other active submissions competing for the same rewards.
Submissions that outperform others receive a larger share of available rewards, while lower-performing submissions receive less.
As new submissions enter the system and performance shifts, reward distribution adjusts accordingly. This means RPM can change throughout the lifecycle of a submission.
Performance-based distribution
Earnings are determined by how your submission performs relative to others.
Key factors include:
- Overall performance and engagement
- Competition from other active submissions
- Weekly spend limits and Boosts on the content
- Early traction and strong view velocity (how quickly your post gains views)
Submissions that gain strong traction early are more likely to maximize their potential earnings since their high view submission can compete for rewards for a longer period of time.
Payment behavior
Payments are distributed in small increments and can occur as frequently as every minute.
New rewards are added over time based on performance, prior rewards, and the available budget.
Live signals
Duzlo provides real-time indicators to help you navigate the system:
- RPM Estimate is a prediction of what submissions are earning per 1,000 views based on the real-time data from active submissions competing for the same rewards. This prediction fluctuates over time, so your final earnings rate may vary.
- Opportunity Score helps identify content with higher earning potential by considering both performance and available spend. Even when the RPM estimate is lower, strong virality can still create meaningful opportunities.
These signals should be used together to guide decision-making.
Why adaptive rewards exists
The previous model relied on locked-in RPMs and first-come-first-serve dynamics, which often rewarded speed over performance. This created situations where submissions that gained traction later were unable to earn rewards.
Adaptive rewards solves this by:
- Accounting for the full lifecycle of a submission (up to 7 days)
- Reducing race conditions between submissions
- Distributing rewards more fairly based on performance
This ensures that submissions have a more balanced and performance-driven opportunity to earn.
Key takeaways
- Earnings are dynamic, not fixed
- Performance relative to other active submissions determines reward allocation
- Early traction and strong view velocity help maximize rewards
- RPM Estimate and Opportunity Score are directional signals, not guarantees
Understanding how adaptive rewards works is key to maximizing performance on Duzlo.