Rakuten Advertising launched Mirai this week, billing it as affiliate marketing's first advanced AI optimization agent — a system designed to autonomously adjust commission structures, partner prioritization, and budget allocation within affiliate programs. For program managers, this isn't an incremental feature update. It represents a structural shift in who — or what — controls the day-to-day levers of performance optimization on one of the largest affiliate networks in the world. If Mirai works as advertised, the manual process of identifying top performers, suppressing underperformers, and adjusting CPA rates in response to conversion data could be substantially automated on the Rakuten platform. That changes the job description for anyone managing a program there.
Why Networks Are Racing to Add AI Optimization
Rakuten Advertising operates one of the three dominant global affiliate networks alongside CJ and Impact. The timing of this launch matters: affiliate marketing spend in the UK alone reached £1.8 billion in 2025, and US spend hit $13.81 billion in 2026, according to recent industry figures. Networks are under pressure to demonstrate value beyond transaction processing as brands increasingly question management fees. AI optimization is the clearest answer Rakuten can offer. The Mirai announcement follows a broader industry pattern — Impact has been building AI-assisted partner discovery tools, and CJ has expanded its performance insights dashboards significantly over the past 18 months. The competitive pressure to automate optimization is real and accelerating.
Opportunity and Risk: What Mirai Actually Optimizes Toward
For managers running active programs on Rakuten, Mirai introduces both opportunity and risk. On the opportunity side, automated commission optimization could surface high-performing long-tail publishers that human managers routinely overlook during manual reviews. The risk is less obvious but more serious: AI systems optimize toward the metrics they're given, not the business outcomes you actually want. If Mirai is calibrated toward conversion volume rather than customer LTV, new customer acquisition rate, or margin, it will optimize your program in ways that look great in the dashboard and hurt you in the P&L. Program managers on Rakuten need to understand exactly which signals Mirai is weighting before ceding control of commission decisions to it. Ask your Rakuten account team for the specific optimization parameters before enabling any automated features.
Three Actions to Take Before Enabling Mirai on Your Program
Three actions to take right now. First, audit your Rakuten program's current commission structure and document your actual optimization priorities — LTV, margin, new vs. returning customer ratio — before Mirai gets configured for your account. If you don't define success, the system will define it for you. Second, request a detailed briefing from your Rakuten account manager on how Mirai makes commission adjustment decisions and what override controls exist for program managers. Any system that adjusts payouts autonomously needs a clear human override path. Third, if you run parallel programs on CJ, Impact, or Awin, use those programs as a control group. Don't let Mirai run across your full Rakuten program immediately — stage the rollout so you can isolate its impact on publisher mix, conversion rate, and revenue per click against a baseline.