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referral-program

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About referral-program

R

referral-program

Design and optimize customer referral and affiliate programs

referral-program is a marketing agent skill from the marketingskills collection for designing and optimizing customer referral and affiliate programs. A customer referral program has existing users recommending the product to their networks, and an affiliate program is an ongoing commission relationship with creators and partners. The skill covers both, and it asks first which kind you want, whether the business is B2B or B2C, the average customer lifetime value and the current cost to acquire a customer through other channels. Those numbers decide how much a referral can pay and whether a program is worth running at all. The skill frames itself as viral growth and referral marketing, so the program is designed to turn customers into growth engines rather than a discount that users take without recommending anything. It draws on the product marketing context before it starts, so the offer and the audience fit what the business already knows. Referral and affiliate programs carry compliance obligations on disclosure and on rewards, which vary by market and platform, so check the rules that apply before you launch. The skill suits founders and growth teams that want a second acquisition channel built on existing customers. The skill passes Gen Agent Trust Hub, Socket and Snyk on skills.sh, and it has about 52,300 installs. Install it with npx skills add https://github.com/coreyhaines31/marketingskills --skill referral-program.

Price
Free
Made by
coreyhaines31
Category
AI Skills
Website
github.com/coreyhaines31/marketingskills/referral-program