Run affiliate, influencer, and referral programs from one platform. Connect your billing, set commission rules, and go live the same day.
Native integrations with Stripe, Paddle, Chargebee, Recurly, and Braintree feed every billing event into your program. Upgrades, downgrades, renewals, refunds, and cancellations each update commissions on their own, so payouts stay in step with revenue.
Run payouts fully managed, or in bulk through PayPal and Wise. W-9/W-8BEN forms are gathered before any money leaves, and an invoice accompanies every payout, removing most of the admin a program usually brings.
Promoters get a dashboard in your branding, with links, coupon codes, and earnings in one view. You get 18-point reporting, commission structures from flat fee to multi-tier, fraud detection, and broadcast email to your entire promoter base.
Start your program today with a 14-day free trial. No credit card required.
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Extole is the enterprise offer management platform powering personalized incentive programs at scale for B2C brands. Highly configurable and AI-accessible, Extole fits how your team already works.
Marketers build offer programs that motivate customers across the customer lifecycle, product teams can orchestrate digital and real-world experiences that drive engagement and growth, and developers pull Extole's journey management, rules, real-time rewards, and AI into their own systems as ready-to-use services.
Behind every offer, Extole combines real-time audience and event data with enterprise-grade infrastructure so your offers are reliable, secure, and easy to support and audit.
Leading brands across retail, financial services, telecommunications, and home services trust Extole to power referral, loyalty, promotional, lifecycle, and engagement programs. Build your next offer program with Extole.
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Referral Factory
Referral Factory helps businesses launch and scale customer referral programs without developers. Built for finance, insurance, home services, SaaS, and more, it gives you everything needed to promote, track, and reward referrals from start to finish.
With our no-code platform, you can launch a branded referral program in minutes using landing pages, email notifications, referral tracking, and automated rewards. You can fully white-label the experience, create referral links in one click, or let customers sign up for their own links.
Promote your program across every channel with widgets, pop-ups, sticky bars, QR codes, landing pages, automated emails, or embedded experiences inside your app or portal. Customers can share links, submit leads, and track their referrals and rewards in a branded portal.
Referral Factory gives you end-to-end tracking, real-time analytics, and ROI reporting so you always know what’s working. It also integrates with 8,000+ apps, including HubSpot, Salesforce, Stripe, Intercom, Zapier, and Make, plus webhooks and API access for custom workflows.
You can offer 200+ reward options, including gift cards, vouchers, Stripe credits, PayPal payouts, digital cash cards, and custom rewards, with manual or automated reward delivery.
Referral Factory is GDPR, SOC 2, and ISO 27001 compliant, with enterprise-grade security on all plans. Pricing starts at $200/month, with 24/7 support on every plan and dedicated onboarding for Pro and Enterprise.
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Muse Spark 1.2
Muse Spark 1.2 is Meta’s newest coding-focused model, released alongside Muse Code as part of Meta’s AI developer platform. The model improves on Muse Spark 1.1 with stronger code generation, complex debugging, codebase understanding, and full developer workflow performance. Muse Spark 1.2 powers Muse Code, a terminal coding agent that can plan changes, write code, validate results, and coordinate persistent background subagents. The model was co-trained with Muse Code so it performs well inside the agentic coding runtime and tool environment. Its training included scaled coding compute, broader training environment diversity, rejection-sampled harness trajectories, recipe optimizations, and Muse Code toolset integration. Muse Spark 1.2 is designed for long-horizon coding tasks such as whole-repository generation, large end-to-end projects, auto-research, and extended optimization work. It uses planning to sequence work, goal conditioning to stay aligned with the user’s objective, and context compaction to preserve useful knowledge over long sessions. The model also benefits from a self-improvement loop where Muse Spark 1.1 generated challenging coding environments and instruction-following templates for training. By combining coding specialization, agentic workflow support, long-horizon training, subagent compatibility, and Meta Model API availability, Muse Spark 1.2 helps developers build, debug, and optimize software more effectively.
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