AgentDepotAisle 01 · Marketingpricing-page-ab-tester-agent
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Pricing Page A/B Tester Agent

Replaces a $65k conversion rate optimizer. Runs pricing experiments, analyzes results, and recommends changes with statistical confidence.

The Problem

SaaS founders waste months guessing which pricing strategy converts best, losing revenue while they manually run tests and crunch numbers. A conversion rate specialist costs $60–70k annually, and most SMBs can't afford one. Without data-driven pricing experiments, you're leaving 10–30% of potential revenue on the table.

The Outcome

The agent sets up A/B tests on your pricing page, splits traffic between variants, collects conversion and revenue data from your analytics platform, runs statistical significance tests, and delivers a weekly report with winning variant, confidence level, and revenue impact. It flags when tests reach statistical power and recommends the next experiment to run.

Day in the Life
1.
Mon 9am: Agent pulls last week's pricing page traffic and conversion data → calculates statistical significance for active variants → sends Slack summary with winner and confidence %
2.
Wed 2pm: Agent detects new variant has 500+ conversions → runs chi-square test → determines variant B beats control at 94% confidence → flags for promotion
3.
Fri 4pm: Agent compiles weekly report with revenue lift estimate, cost per test, and recommends next pricing tier to test based on drop-off patterns
Deploy Specs
Runtime
python
Pattern
native-agent
Tier
medium
Setup Time
hours
Integrations
via Composiomanual setup
Google AnalyticsMixpanelStripeSlackSegment
GitHub Source
Repository
Stars
0
License
MIT
Last Commit
Replace
Conversion Rate Optimizer
$65,000/yr
AgentDepot · Solo plan
$99/month
Save $63,812/yr · 54.7x cheaper
14-day free trial · No credit card
Also Replaces
×Optimizely $1200/mo
×VWO $500/mo
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