FXMacroData has officially launched its affiliate program through Endorsely, allowing creators in finance, economics, trading, data science, and online business to earn recurring income by promoting real-time macroeconomic and FX data.
Affiliate signup link: https://fxmacrodata.endorsely.com/
Why This Matters
The market for high-quality macroeconomic data is growing rapidly. Traders, analysts, fintech developers, macro researchers, and content creators need reliable data they can integrate into dashboards, automated strategies, and research workflows. Unlike low-ticket products, macro-data subscriptions are:
- Recurring
- High-intent
- Business-critical
- Underserved in affiliate programs
What FXMacroData Offers
FXMacroData provides aggregated and standardized economic and foreign-exchange data, refreshed in real time as central banks release it. It’s designed for:
- Retail and professional traders
- Quant developers
- Analysts and macro researchers
- Financial content creators
- Fintech teams needing reliable economic data feeds
Affiliate Program Details
Hosted on Endorsely, affiliates get a clean dashboard, tracking links, and automated payments. Here’s how it works:
💰 Commission Structure
- 10% recurring commission on every paid subscription you refer
- Earn this commission for the entire first year
- Subscriptions are $25 per user per month
- Affiliates can earn up to $30 per referred customer
📈 Who Can Earn With This?
The program is ideal for creators with niche, high-value audiences:
- YouTubers covering finance and macro topics
- Substack / Medium writers
- SaaS and API reviewers
- Data-driven finance educators
- Trading influencers
- Indie hackers with analytics audiences
- Twitter/X creators with macro-finance followings
Why Affiliates Like This Niche
Macro-data APIs are not mass-market products, which is an advantage:
- Higher audience trust
- Higher lifetime value
- Higher retention
- Less affiliate competition
How to Join
The FXMacroData affiliate program is open to creators worldwide.
— The FXMacroData Team