“Up to 24% commission” can easily make people stop and take another look.

But if you just post this sentence on Moments, along with a registration link, most likely nothing will happen.

Because what users truly care about is not how much you can earn, but: can this platform solve my problem, and is it worth continuing to use?

Therefore, if you want to earn revenue through the Ace Data Cloud Affiliate Program, the focus has never been on shouting 24% louder, but on finding people who truly need AI APIs, image, video, music, or automation capabilities, and using content to help them complete their first successful use.

This article will make this calculation clear.

First, let’s clarify the most easily misunderstood part.

Revenue from the Ace Data Cloud Affiliate Program is based on real customers and real consumption that complies with the rules. Customers register through your exclusive link, subsequently actually purchase and use platform services, and the system then calculates revenue based on attribution and your affiliate level at that time.

The current public tiers start at 10%, increasing level by level as cumulative thresholds rise, up to a maximum of 24%. For specific tiers, thresholds, attribution scope, and settlement results, the real-time rules on the official page shall prevail.

Therefore, the following three things are not equivalent:

  • Someone read your article;
  • Someone clicked your link;
  • Someone registered and continued using the service.

What is truly related to revenue is the third thing.

This is also why 100 people who register casually may not be more valuable than 10 developers who genuinely need to work on projects.

CLICKS ARE NOT CUSTOMERS: The funnel between clicks, real users, and continued API usage

First, calculate the simplest equation

Assume that an attributed customer generates 100 Credits of rule-compliant consumption:

Current commission rate Simple example for understanding
10% 10 Credits
15% 15 Credits
20% 20 Credits
24% 24 Credits

This table only illustrates how percentages are calculated. It does not mean that a customer will definitely spend 100 Credits, nor does it mean that every transaction will necessarily meet the commission conditions.

What truly needs attention are three other variables:

Number of real customers × Actual customer spending × Customer continued usage time

THE AFFILIATE GROWTH EQUATION: The right users, real usage, and retention form the growth equation

Focusing only on the percentage will cause you to overlook the most important part of this business.

The first variable: who exactly are you bringing in?

If the article title is “Register and Get Benefits,” it may bring in many people who only want to claim a one-time trial.

If the article solves “How to batch-generate product images with Python,” the people who find it are more likely to be building e-commerce tools, automation scripts, or client projects.

Both types of traffic may look like one visit, but their value is completely different.

High-quality customers usually have several obvious characteristics:

  • They are working on a specific project;
  • They already know what type of AI capability they need;
  • They care about APIs, stability, pricing, and documentation;
  • After their first successful test, they may continue using it;
  • They will need more models or services later.

Therefore, the first principle of affiliate promotion is not “get more people to click,” but let the right people see the right solution.

The second variable: can the content help users get past the first barrier?

Registering for AI products is not difficult; the difficult part is succeeding the first time you use them.

Users often get stuck in these areas:

  • They do not know which model to choose;
  • They do not know how to configure an API Key;
  • They cannot understand request parameters;
  • They do not know how to check asynchronous tasks;
  • They do not know where the problem is after an error occurs;
  • They worry about costs getting out of control and do not dare to continue testing.

What a good article should do is remove these obstacles one by one.

For example, if you write about an AI video API, do not just show the finished product. Clearly explain request examples, parameter explanations, task queries, failure handling, and cost entry points. When readers follow the article and successfully generate their first video, registration is no longer an empty number, but a real product experience.

The third variable: why will customers continue using it?

A tutorial solves “can it be used,” while follow-up content solves “how can it be used better.”

Continued user usage usually comes from three types of needs:

  1. Advanced needs: moving from one-time generation to batch calls;
  2. Combination needs: expanding from text to images, videos, music, or search;
  3. Business needs: moving from personal testing into products, teams, or client projects.

This is exactly where a unified AI platform has an advantage. Users do not need to find a new platform or manage new accounts and interfaces every time they switch capabilities. Promoters can also continue writing about different scenarios for the same group of users, rather than finding an audience from scratch every time.

Truly effective promotional content usually looks like this

Type One: Problem-based tutorials

The title directly answers a specific question:

  • How to switch compatible interfaces with the OpenAI SDK?
  • How to call an image generation API with Python?
  • Why does an image-to-video task keep failing?

This type of content has clear search intent and can easily bring in high-quality users.

Type Two: Costs and selection

When users are preparing to enter real projects, they will care about:

  • Which model is more suitable;
  • How to choose between pay-as-you-go usage and fixed subscriptions;
  • How to divide work between fast models and high-quality models;
  • How to control batch call costs.

This type of article is closer to actual purchase decisions, but it must use real-time pricing and avoid exaggeration.

Type Three: Complete cases

Rather than saying “the platform supports AI video,” show:

How to generate short videos from product images and integrate them into an automated workflow.

Cases allow users to directly see the results and make it easier for them to imagine how they can use them themselves.

Links have no context.

Users do not know why they should click, what they should do after entering, or what relationship this product has with their own problems. Even if they register, they may leave quickly.

Content provides context:

  • This is my question;
  • This is the solution process;
  • This is the actual result;
  • This is the entry point for the next step.

When a link appears here, it is not an advertisement, but the final step of the solution.

A More Reliable Set of Promotion Actions

If you are ready to do it seriously, you can start in the following order:

  1. Choose a user group you are familiar with; do not try to do everything from the beginning;
  2. Identify the 5 questions this group asks most often;
  3. Use Ace Data Cloud to actually work through one of them;
  4. Write a complete tutorial, rather than a feature introduction;
  5. Add an exclusive link and clear next step at the end;
  6. Continue writing advanced content based on reader feedback;
  7. Regularly check which content brought real usage, instead of only looking at page views.

The most important thing is all the steps before step five.

Without the earlier value, that final link will not generate revenue on its own.

So, What Exactly Does 24% Mean?

It means that when you consistently bring high-quality customers and reach the corresponding affiliate level, every real consumption that meets the rules may be counted toward promotional earnings at a higher rate.

But it does not mean guaranteed income, nor does it mean you can skip product value and customer service.

The underlying logic of this business is very simple:

You help users solve problems faster, help the platform find real customers, and the system then records this contribution according to the rules.

If you have a technical blog, an AI community, developer readers, or enterprise customers, this model is worth doing seriously; if you only have a link and do not yet have any content or scenarios, then do not rush to talk about 24%.

First write an article that can truly help people get the product running.

Note: The calculations in this article are only used to explain the rates and do not constitute earnings forecasts or commitments. Actual earnings depend on customers' rule-compliant consumption, affiliate level, attribution, and settlement rules. Please refer to the real-time information on the official pages.