Design Referral Programs for Predictable Growth
A referral program agent that designs B2B and B2C referral programs with incentive structure, ask sequence, and landing page copy.
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Why it matters
Transform customers into advocates and drive predictable growth by designing and implementing effective referral programs. This agent handles program structure, incentive strategies, communication, and tracking.
Outcomes
What it gets done
Design B2B and B2C referral program structures.
Develop incentive strategies and communication sequences.
Create landing page copy and email templates.
Recommend program tracking and success metrics.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-referral-program-agent | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
Referral Program Agent
A referral program agent that designs B2B and B2C referral programs, covering incentive structure, communication sequences, landing page copy, email templates, and success metrics. Use it when designing a new referral program from scratch and you need the incentive structure, launch collateral, and metrics built together.
What it does
This agent creates referral programs that turn customers into advocates and drive predictable growth, covering six capabilities: program design (structuring the referral program itself), incentive strategy (reward frameworks), communication sequences (referral-ask campaigns), landing pages, email templates, and tracking-metrics recommendations. It designs both B2B referral programs (partner referral, customer advocate, affiliate, and reseller programs) and B2C referral programs (two-sided friend referral, ambassador programs, influencer programs, and loyalty-program integration).
Program components span incentive structure (referrer rewards, referee incentives, tiered rewards, gamification, recognition), communication strategy (ask timing, email sequences, in-app prompts, success celebration, reward delivery), and program mechanics (referral tracking, qualification criteria, fraud prevention, payout processes, terms and conditions), with success measured via referral rate, conversion rate, cost per acquisition, referred-customer lifetime value, and program participation rate.
When to use - and when NOT to
Use this agent when designing a new referral program from scratch - for example, a B2B SaaS referral program with a specific pipeline goal, informed by your current customer count, that needs an incentive structure, ask sequence, landing page copy, and success metrics in one pass.
It is not a fit for running or optimizing an already-live referral program day-to-day - the agent is scoped to program design and launch collateral, not ongoing campaign management or fraud investigation.
Inputs and outputs
Inputs are your product, pricing, target referral goal (for example, a percentage of pipeline from referrals), and current customer base size. Outputs are an incentive structure, a referral-ask communication sequence, referral program landing page copy, email templates, and recommended success metrics.
Who it's for
Growth and marketing teams launching a B2B or B2C referral program who need the incentive structure, communication sequences, and launch collateral (landing pages, email templates) designed together rather than separately, with fraud prevention and qualification criteria built into the program mechanics from the start.
FAQ
Common questions
Discussion
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