Lowering customer acquisition cost (CAC) doesn’t always require changing everything about your growth program. One practical approach shared in the video is to adjust the composition of your rewards—specifically by pairing token rewards with a smaller USDT component instead of relying on full USD.
The key idea is simple: you can treat the USDT portion as a controlled, smaller cost inside your overall incentive design. This lets you keep incentives attractive while reducing the effective CAC you’re paying per acquired user.
Why CAC drops with a token + USDT reward mix
The speaker’s framework compares two reward approaches:
- A baseline where users receive token rewards plus a full USD/USDT component.
- An alternative where users receive token rewards plus a smaller USDT component.
Instead of assuming the entire cash portion has the same acquisition impact, the video focuses on the “customer acquisition cost part” attributable to the USDT component. By keeping the USDT amount smaller (and thinking in terms of the acquisition-relevant cost portion), the effective CAC can drop.
In other words, you’re not necessarily lowering perceived reward value by default—you’re reducing the paid USDT cost that drives acquisition, while the token component does more of the “reward lifting.”
Estimated USDT CAC contribution: about $0.50 per user
The video provides an estimate for the “actual customer acquisition cost part” for the USDT component. The speaker states that this acquisition cost contribution from USDT is about 50 cents per user.
This estimate is used as the basis for the comparison against a smaller USDT allocation. The important takeaway is that the USDT portion can be evaluated in acquisition terms, rather than treated as a fixed dollar-for-dollar reward cost.
Estimated acquisition-relevant USDT portion: about $0.25 per user
The speaker then describes the acquisition-relevant USDT cost portion in the alternative setup as about 25 cents per user.
In the video’s framing, this means the USDT component is effectively reduced from the acquisition-cost standpoint (from the ~$0.50 level to the ~$0.25 level). That’s why the CAC outcome improves: you’re paying less USDT while still using tokens as part of the incentive.
The video summarizes this as “25 cents on USDT part,” emphasizing that the USDT portion is the lever being adjusted.
Result: ~25% discount vs token + full USD
Combining the estimates above, the speaker characterizes the setup as a 25% discount vs USD.
That comparison aligns with the shift from approximately:
- $0.50 per user (USDT acquisition cost contribution in the reference framing)
- to $0.25 per user (acquisition-relevant USDT portion in the token + smaller USDT mix)
So, the core outcome described in the video is that a token + small USDT reward mix can reduce effective CAC by about 25%, relative to giving users token plus full USD.
Practical takeaway: design rewards around the acquisition-relevant cost
If you’re running reward-based growth experiments—such as community-driven participation, quest systems, or similar incentive mechanisms—the video suggests a reward composition strategy that targets the effective CAC per acquired user.
Instead of treating your reward budget as only one undifferentiated pool of value, the approach is to:
1. Keep tokens in the reward structure.
2. Use a smaller USDT component than you might otherwise use.
3. Think about the USDT portion in acquisition terms (what it effectively contributes to CAC), not just the nominal amount.
This is the “trick” the video is pointing to: reducing the effective CAC you pay per user by blending token rewards with a controlled, reduced USDT component.
Conclusion
The video’s main message is that you can lower effective CAC by changing your reward mix—not necessarily by cutting incentives across the board. By combining token rewards with a smaller USDT component, the speaker estimates the USDT acquisition contribution and frames the outcome as roughly a 25% discount vs token + full USD.
If your goal is durable, incentive-driven growth, this reward composition approach offers a concrete way to reduce the effective CAC per acquired user while keeping incentives structured around both tokens and a limited cash component.
