๐Ÿ”ฌ

A/B Test Manual

Compare two or more experiences to determine which one improves conversions the most over a pre-specified test period.

1
Define experiences
(Control + Variants)
2
Split traffic
evenly
3
Collect conversion
data
4
Reach statistical
significance
5
Declare a
winner

โ–ถ Interactive Demo โ€” CTA Button Test

Control (A)
Shop Now
Conversions: 0
Variant (B)
Get 20% Off โ†’
Conversions: 0
A: 50% B: 50%
Click "Simulate" to run visitors through the testโ€ฆ
โš–๏ธ

Auto-Allocate ML-Powered

Identifies the best-performing experience early, then automatically shifts traffic toward the winner to maximize conversions while the test is still running.

1
Start with
even split
2
Monitor results
continuously
3
Shift traffic to
best performer
4
Winner gets
most traffic

โ–ถ Interactive Demo โ€” Auto-Allocating Traffic

Experience A
Free Shipping
Conv Rate: 0%
Experience B
Save 15% Today
Conv Rate: 0%
Experience C
Buy 1 Get 1 Free
Conv Rate: 0%
Traffic Allocation:
A: 33%
B: 33%
C: 34%
Watch traffic shift as a winner emergesโ€ฆ
๐Ÿค–

Auto-Target ML-Powered

Uses machine learning to choose the best experience for each individual visitor based on their profile, maximizing personalization at scale.

1
Define multiple
experiences
2
ML learns visitor
preferences
3
Match experience
to visitor profile
4
Continuously
optimize

โ–ถ Interactive Demo โ€” ML Experience Matching

๐Ÿง‘
Visitor Profile
Click "Generate" to create a visitor
Premium
Luxury Collection
Match:
โ€”
Value
Best Deals!
Match:
โ€”
Trendy
What's Hot ๐Ÿ”ฅ
Match:
โ€”
Generate visitors to see ML matching in actionโ€ฆ
๐ŸŽฏ

Experience Targeting (XT) Rules-Based

Delivers specific content to a defined audience based on marketer-defined rules and criteria. The right message to the right audience.

1
Define audience
segments
2
Create targeted
experiences
3
Map audiences
to experiences
4
Visitor sees
matched content

โ–ถ Interactive Demo โ€” Click an audience to see their experience

๐Ÿ†•
New Visitors
First visit โ€ข No purchase history โ€ข Unknown preferences
Welcome Offer
๐Ÿ”„
Returning Customers
2+ visits โ€ข Has purchase history โ€ข Known preferences
Loyalty Reward
๐Ÿ›’
Cart Abandoners
Added to cart โ€ข Did not purchase โ€ข Within last 7 days
Discount Nudge
โญ
VIP Members
Gold/Platinum tier โ€ข $500+ lifetime spend
Exclusive Access

๐Ÿ‘† Select an audience above to see the targeted experience

Audience targeting rules are evaluated in priority orderโ€ฆ
๐Ÿงฉ

Multivariate Test (MVT) Manual

Tests combinations of variations across multiple page elements simultaneously to find the best overall combination.

1
Identify page
elements
2
Create variations
for each element
3
Test all
combinations
4
Find best
combination

โ–ถ Interactive Demo โ€” Pick variations for each element

Headline
Hero Image
CTA Button
CTA Color
Summer Sale
๐Ÿ–๏ธ
Testing 81 possible combinations (3 ร— 3 ร— 3 ร— 3)
Select variations or randomize to explore combinationsโ€ฆ
๐Ÿง 

Automated Personalization (AP) ML-Powered

Combines offers and uses machine learning (Random Forest) to match different variations to each visitor based on their individual profile.

1
Provide pool
of offers
2
ML builds
visitor models
3
Match offers
to profiles
4
Continuously
learn & refine

โ–ถ Interactive Demo โ€” ML Offer Matching

๐Ÿ‘ค
Generate a visitor to see ML matching
Click below to generate
๐Ÿ’Ž
Premium Plan
๐ŸŽ
Gift Card Bonus
๐Ÿšš
Free Shipping
โฐ
Flash Sale
๐Ÿ‘ฅ
Refer a Friend
๐Ÿ“ฆ
Bundle Deal
ML will match the best offers to each visitor's profileโ€ฆ
๐Ÿ’ก

Recommendations ML-Powered

Automatically displays products or content that might interest visitors based on previous user activity, preferences, and ML-driven algorithms.

1
Collect behavioral
data
2
Choose algorithm
& criteria
3
Apply design
template
4
Serve personalized
recommendations

โ–ถ Interactive Demo โ€” Recommendation Algorithms

Select Algorithm:
Currently Viewing: ๐ŸŽง Wireless Headphones โ€” $79.99
Recommended For You:
Switch algorithms and products to see how recommendations changeโ€ฆ