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RinkLink Growth Experiments

Defines a weekly cycle for running autonomous growth experiments across social, ads, content, and email channels to boost paid subscriptions.

May 2, 2026
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What this file does

Defines a weekly cycle for running autonomous growth experiments across social, ads, content, and email channels to boost paid subscriptions.

When to use it

  • You need a structured process for A/B testing marketing channels
  • You want agents to autonomously run and log experiments
  • You are optimizing ad spend and social posting for a SaaS product
  • You require a repeatable cadence for iterating on messaging and creative

RinkLink Growth Experiments

Purpose

This document defines the rules and processes for running weekly growth experiments using RinkLink’s social, content, and paid channels.

Goals:

  • Test messaging, hooks, and creative across platforms
  • Increase paid subscriptions ($75 per seat)
  • Grow follower count and audience engagement
  • Optimize ad spend and social posting efficiency

Agents must run experiments autonomously, collect data, and adjust strategies weekly.


Experiment Cadence

  • Weekly cycle: Each experiment runs for 7 days
  • Review day: Every Monday, agents review results and adjust next week’s experiments
  • Continuous iteration: Scale winners, pause losers, introduce new variations

Channels Included

  • Social media (Meta, X, Instagram)
  • Ads (Meta & X)
  • Blog posts / content engine
  • Emails / newsletter

Each channel should run multiple simultaneous experiments when possible.


Experiment Types

1. Social Media Experiments

  • Test post types: founder stories, scheduling tips, hooks
  • Test post timing: morning, afternoon, evening
  • Test messaging hooks:
    • “Most youth hockey teams make this scheduling mistake”
    • “The hardest job in youth hockey is team manager”
    • “Why youth hockey seasons fall apart”
  • Test visuals: screenshots, infographics, diagrams

Metrics to track:

  • Engagement (likes, shares, comments, retweets)
  • Click-through to landing page
  • Conversions (paid subscriptions)

2. Paid Ads Experiments

  • Test ad copy hooks matching messaging angles
  • Test audience segments:
    • Hockey directors / association presidents
    • Team managers (volunteers)
    • Tournament operators
  • Test creative types: image, carousel, video clips
  • Test CTA variations: "Learn more," "Sign up now," "Start building better seasons"

Metrics to track:

  • Impressions
  • Click-through rate (CTR)
  • Cost per click (CPC)
  • Cost per acquisition (CPA)
  • Paid conversions

3. Content Experiments

  • Test blog titles and topics (focus on hooks and themes)
  • Test email subject lines and content angles
  • Test repurposing content across channels

Metrics to track:

  • Click-throughs to landing page
  • Paid conversions from blog / email traffic
  • Engagement metrics (comments, shares)

Experiment Rules

  1. Run one variable change per experiment when possible
  2. Minimum runtime: 3–5 days for sufficient data
  3. Track all KPIs consistently
  4. Document results in the experiment log
  5. Pause or adjust underperforming experiments early
  6. Scale winning experiments aggressively
  7. Agents must always maintain founder voice and messaging consistency

Experiment Logging

Agents must maintain a weekly experiment log including:

  • Date range
  • Channel
  • Experiment type (social, ad, content)
  • Variables tested (hook, creative, audience, CTA)
  • KPIs (engagement, CTR, paid conversions)
  • Outcome (win, lose, adjust)
  • Action for next week (scale, iterate, replace)

Experiment Priority

  1. Paid conversion experiments (highest priority)
  2. Social media growth / engagement experiments
  3. Blog / email content experiments
  4. Visual asset experiments

Continuous Learning & Optimization

  • Use weekly logs to guide next experiments
  • Combine winning hooks, creatives, and channels
  • Update messaging and visuals in content_engine.md and ads_playbook.md as needed
  • Keep iterating for aggressive growth and paid subscriptions

Agent Autonomy Rules

  1. Agents may launch new experiments within defined parameters without manual approval
  2. Scaling decisions require at least 3 days of performance data
  3. Agents must report weekly summaries with recommendations for the founder
  4. Do not run experiments outside of RinkLink’s branding, messaging, or platform rules

What's inside

8 sections: purpose, cadence, channels, 3 experiment types, rules, logging, priority, autonomy rules.

Change this for your project

  • Replace RinkLink with your product or brand name
  • Replace $75 per seat with your pricing model
  • Replace hockey directors / association presidents with your target audience segments
  • Replace content_engine.md and ads_playbook.md with your own file references

Where it goes

Keep it in your repository where the agent or team that needs it will read it.

Worth borrowing

  • Weekly experiment cadence with a fixed review day forces consistent iteration
  • One-variable-change rule reduces noise and makes results actionable
  • Priority ranking (paid conversion first) prevents scattered effort

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