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Geta.ai
A/B Testing

Test Your AI Agent's Follow-Up Sequences. Scale What Converts.

Run A/B tests across the complete multi-channel sequences your AI Agent follows up with, comparing full paths, not just subject lines. Identify the lowest-CAC journey and make it the agent's default.

3.6×Higher Journey ROIdata-driven journey optimization consistently outperforms intuition-based sequencing
↓ 38%Lower CACcontinuous testing identifies the lowest-cost path to conversion
↓ 40%Less Lead Leakagewinning variants keep every contact moving toward conversion
100%Data-Driven Decisionsevery sequence change backed by real engagement and conversion data

Based on aggregated data from Geta.ai customers across Real Estate, Education, E-Commerce, and Finance verticals. Individual results may vary.

Journey Variant Testing

Compare full sequences: channel, cadence, content

Any-Node A/B Split

Insert a test at any point in the Journey canvas

Configurable Traffic Split

50/50, 70/30, or custom ratio, you decide

Step-Level Analytics

See exactly where performance diverges between variants

Statistical Confidence

95% confidence threshold before winner is flagged

Conversion Goal Tracking

Define the metric that matters: clicks, replies, deals

One-Click Winner Promotion

Route all traffic to the winning variant instantly

Zero-Disruption Testing

Active contacts unaffected, tests run on new enrollments

Journey Variant Testing

Compare full sequences: channel, cadence, content

Any-Node A/B Split

Insert a test at any point in the Journey canvas

Configurable Traffic Split

50/50, 70/30, or custom ratio, you decide

Step-Level Analytics

See exactly where performance diverges between variants

Statistical Confidence

95% confidence threshold before winner is flagged

Conversion Goal Tracking

Define the metric that matters: clicks, replies, deals

One-Click Winner Promotion

Route all traffic to the winning variant instantly

Zero-Disruption Testing

Active contacts unaffected, tests run on new enrollments

What's inside

Everything you need to run rigorous Journey experiments.

Geta.ai's A/B Testing module brings scientific experimentation to multi-channel Journey sequences, so every optimization decision is backed by real conversion data, not gut feel.

Full-Sequence Testing3.6× Journey ROI↓ 38% Lower CACStatistical ConfidenceZero DisruptionWinner Promotion
Full-Journey Variant Analytics

See Exactly Where One Path Outperforms the Other.

Geta.ai's A/B analytics panel shows side-by-side step-level performance for both variants: enrollment, engagement rate, conversion rate, and revenue attribution per node. You don't just learn that Variant B wins overall; you learn which specific step drove the difference. That granularity lets you extract learnings that improve every future Journey you build.

  • Side-by-side conversion funnel for Variant A and Variant B
  • Step-level drop-off comparison, find the exact point of divergence
  • Revenue attribution per variant, connect sequences to closed deals
  • Statistical confidence indicator so you act on reliable data
3.6×higher Journey ROI, data-driven sequence optimization consistently beats intuition-based design
See analytics in action
app.geta.ai
Journey Analytics
3.6× avg ROI

Aggregate funnel, all journeys

Enrolled
671
Engaged
489
Converted
187

Journey performance

New Lead Welcome

31289 conv.
3.8×

Proposal Follow-up

15667 conv.
4.2×

Re-engagement

20331 conv.
2.1×
28% overall conversion rate↓ 38% lower CAC
app.geta.ai
Journey Flow Builder
Path A active

Stage: New Lead

Trigger

Wait 15 min

Delay

Send Welcome Email

Action

Email Opened?

Condition

WhatsApp Follow-up

Not opened

Send Proposal

Opened

Stage → Qualified

Update CRM

6Steps
2Branches
3Channels
Active · 312 contacts
Multi-Channel Sequence Testing

Discover the Channel Mix That Converts Best for Your Audience.

Your audience may respond better to Email-first sequences, or they may convert faster when WhatsApp is the opening channel. Geta.ai lets you run Journey A/B tests that compare completely different channel sequences, not just message copy, so you find the optimal path for your specific customer profile. The winning sequence becomes the default, reducing CAC on every enrollment that follows.

  • Test Email-first vs. WhatsApp-first vs. Voice AI lead sequences
  • Compare 3-step vs. 5-step nurture cadences for the same audience
  • Test different delay windows: 24h vs. 48h between steps
  • Use actual conversion data, not industry benchmarks, to decide
↓ 38%lower CAC, winning variants reduce cost per acquisition on every future enrollment
Explore Visual Builder
Conversion Goals & Trigger Controls

Test the Right Things. Measure What Actually Matters.

Effective A/B testing starts with defining the right conversion goal. In Geta.ai you set the primary success metric at the Journey level: a reply, a demo booked, a deal stage advance, a purchase. Every A/B comparison is evaluated against this goal, not vanity metrics like open rates. Pair this with precise trigger conditions and audience filters to ensure both variants run on comparable, high-quality cohorts.

  • Set the primary conversion goal per Journey: replies, bookings, deals
  • Audience filters ensure variants are tested on comparable cohorts
  • Trigger logic is shared across variants: same event, different sequence
  • Goal completion exits the contact from both variants automatically
100%data-driven decisions, every sequence change is validated by real conversion outcomes before scaling
Explore Behavior Triggers
app.geta.ai
Trigger Engine4 active triggers

Configured triggers

Stage Change

Lead Stage → Qualified

Welcome + Proposal sequence

Behavior

Email Opened + Link Clicked

Hot Lead nurture flow

Time-based

No reply in 48 hours

Re-engagement sequence

Event

Form submitted: Demo Request

Demo prep sequence

Live, just fired

Stage Change triggerjust now

Priya Sharma: Lead Stage → Qualified

Journey launched:Welcome + Proposal sequence

How Journey A/B Testing Works

From Hypothesis to Winning Sequence in Four Steps

A rigorous, no-disruption process for discovering the highest-converting journey path.

Create a variant branch in the Journey

Add an A/B node anywhere in your Journey canvas. Define Variant A (your current sequence) and Variant B (the challenger). Configure the traffic split, 50/50, 70/30, or any ratio. Both variants run in parallel from the same trigger, ensuring a fair comparison with the same audience conditions.

Enroll contacts and let the data accumulate

As contacts trigger the Journey they are automatically allocated to Variant A or B per your traffic split. Geta.ai tracks every engagement signal, opens, clicks, replies, channel switches, and goal completions, at the individual contact level across both variants simultaneously.

Compare performance at every step

The A/B analytics panel shows side-by-side conversion rates, drop-off points, revenue attribution, and CAC for each variant, broken down per step. You see not just which variant wins overall, but exactly where the performance diverges: which step, which channel, which message drove the difference.

Promote the winner, scale the best path

Once statistical significance is reached, promote the winning variant with one click. Geta.ai routes 100% of future traffic to the winner and archives the losing variant's data for reference. The Journey continues running without interruption, contacts mid-flow are not affected by the change.

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Email A/B testing compares two subject lines or message variants within a single send. Journey A/B Testing in Geta.ai compares entire multi-step sequences: different channel mixes, different cadences, different branching logic, different messaging at every touchpoint. You can test whether a 3-step email sequence outperforms a 2-email + 1-WhatsApp sequence, or whether a 24-hour delay between steps converts better than a 48-hour delay. Whole-journey testing produces much larger ROI improvements than per-message testing.

Supercharge your customer engagement.

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