A/B Testing & Optimization

Test, Learn, and Optimize Your Personalization

Don't guess what works—prove it. Run sophisticated A/B tests on your personalized experiences to maximize conversions and revenue.

Why A/B Testing Matters

Test Everything

Test headlines, images, CTAs, layouts, personalization strategies—anything on your site to find what drives results.

Statistical Confidence

Get clear winners backed by statistical significance. No more making decisions based on hunches or small sample sizes.

Continuous Improvement

Build a culture of optimization. Each test teaches you about your audience and compounds your conversion rates over time.

How A/B Testing Works

Run sophisticated experiments with multiple variations, targeting rules, and success metrics—all without touching code.

1

Create Variations

Build different versions of your page, headline, CTA, or any element you want to test.

2

Set Target Audience

Choose which visitors see the test—all traffic, specific segments, or target accounts only.

3

Launch & Monitor

Traffic is automatically split between variations. Monitor results in real-time as data comes in.

4

Analyze & Deploy Winner

Once statistical significance is reached, deploy the winning variation to all visitors with one click.

Example Test Results

Control (Original)2.3% CVR

543 conversions / 23,608 visitors

Variation A3.1% CVR ↑ 35%

731 conversions / 23,581 visitors

Winner: Variation A (95% confidence)

Variation A shows 35% improvement with statistical significance. Deploy to 100% of traffic?

What You Can Test

Headlines & Copy

Test different value propositions, messaging angles, and copy lengths to find what resonates.

Example: "Increase Pipeline 3x" vs "Close Deals 28 Days Faster"

Call-to-Action Buttons

Optimize CTA text, color, size, and placement to maximize click-through rates.

Example: "Start Free Trial" vs "Get Started" vs "Book a Demo"

Hero Images & Videos

Test different visuals, product screenshots, or demo videos to improve engagement.

Example: Product UI vs Customer logos vs Demo video

Social Proof

Test testimonials, case studies, customer logos, or statistics to build trust.

Example: Company logos vs Testimonial quotes vs G2 rating

Form Fields

Optimize form length, field order, and required vs optional fields for higher completion.

Example: 3 fields vs 5 fields vs Progressive disclosure

Personalization Rules

Test different personalization strategies to see which drives the best results.

Example: Industry-based vs Company size vs Behavior-based

Advanced Testing Capabilities

Multivariate Testing

Test multiple elements simultaneously to find the optimal combination of headline, CTA, and image.

Segment-Specific Tests

Run different tests for different audience segments to optimize for each group independently.

Statistical Significance

Automatic calculation of confidence levels ensures you're making decisions based on real data, not noise.

Custom Success Metrics

Define what success means for each test—form submissions, demo requests, pricing page visits, or custom events.

Visual Editor

Create test variations with a visual editor—no coding required. Drag, drop, and edit directly on your site.

URL & UTM Targeting

Target tests to specific pages, URL patterns, or traffic from particular campaigns using UTM parameters.

Real-Time Reporting

Watch test results update in real-time. Get Slack or email alerts when tests reach significance.

One-Click Deployment

When you find a winner, deploy it to 100% of traffic instantly without developer involvement.

A/B Testing Success Story

+127%

Increase in demo requests

+89%

Higher engagement rate

23

Tests run in 6 months

"We ran 23 A/B tests over 6 months, iterating on everything from headlines to pricing page layouts. Each win compounded, ultimately doubling our conversion rate and transforming our website into our #1 revenue driver."

— Head of Growth, B2B SaaS Platform

Ready to Start Optimizing?

Stop guessing what works. Start testing, learning, and continuously improving your conversion rates with data-driven experiments.