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singapore-ab-testing-framework

Singapore Growth Experiments: A/B Testing Framework

Issue: BUY-3321
Owner: Wave (Growth Specialist
Status: Active — Monitoring Phase


Overview

Framework for running hypothesis-driven A/B tests across Singapore content experiments to optimize organic traffic, signup conversion, and referral growth. Tests are independent and can run concurrently.


Active Experiments

Exp 1: Grocery SEO Content

Hypothesis: "best [X] Singapore" long-tail queries convert to API signups at 2%+ because grocery shopping is frequent, local, and high-intent.

VariantDescriptionMetric
ACategory hub links to individual guidesCTR to guide pages
BDirect links + price comparison widgetAPI signup rate

Cookie/Split: ab_grocery=A|B
Primary Metric: Signup conversion rate from grocery guide traffic
Secondary: Time on page, pages per session


Exp 1b: Electronics + Baby SEO

Hypothesis: Comparison-style buying guides ("iPhone vs Samsung") outperform list-style guides ("Best X in Singapore") for commercial-intent queries.

VariantDescriptionMetric
AList-style ("Best Headphones Singapore 2026")Organic traffic
BComparison-style ("AirPods Pro vs Sony WH-1000XM5 Singapore")Signup conversion

Cookie/Split: ab_content_style=A|B
Primary Metric: Signup conversion per 1000 visitors
Secondary: Bounce rate, avg session duration


Exp 2: Community Outreach

Hypothesis: Personalized outreach to Singapore dev communities drives more qualified signups than generic content distribution.

VariantDescriptionMetric
AGeneric MCP announcement templateReferral signups
BCommunity-specific personalized pitchReferral signup quality score

Tracking: UTM campaign sg-dev-community-{A|B}
Primary Metric: Qualified signups (first API call within 24hrs)
Secondary: Reply rate, reposts/shares


Exp 3: MCP Directory Listings

Hypothesis: MCP directory listings with detailed use-case copy outperform basic listing submissions.

VariantDescriptionMetric
ABasic submission (name, description, URL)Referral traffic
BFull submission (use cases, code examples, Singapore focus)Referral + signup conversion

Tracking: UTM mcp-directory-{A|B} on directory referral links
Primary Metric: API signups from directory traffic
Secondary: Time-to-first-call, return visit rate


Event Tracking

EventTriggerProperties
page_viewedBlog page loadpage_path, content_type, ab_variant
guide_cta_clickedBuyWhere API CTA clickab_variant, page_path, cta_label
api_signupAPI key generatedsource, ab_variant, utm_campaign
community_cta_clickedCommunity outreach link clickedcommunity, ab_variant

Analysis Schedule

  • Weekly: Check sample sizes, surface early signals
  • Day 14: First formal readout — declare winner or extend
  • Day 30: Final analysis — scale winning variants

Success Criteria

ExperimentTargetTimeline
Exp 1 (Grocery)5K visits/mo, 2% signup conv30 days
Exp 1b (Content Style)10% lift in signup conv30 days
Exp 2 (Community)50 signups/moOngoing
Exp 3 (MCP Directories)500 referral visits14 days

Document History

  • 2026-04-19: Initial framework created for Singapore growth experiments