AI Campaigns

AI Campaigns (Autonomous Broadcast) are RevBridge AI’s flagship feature. They use Multi-Armed Bandit (MAB) algorithms to automatically optimize your marketing campaigns, finding the best combination of message, channel, and timing for each customer.

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How AI Campaigns Work

Traditional campaigns require you to manually:

1. Choose a template
2. Select a channel
3. Pick a send time
4. A/B test variations
5. Analyze results
6. Apply learnings

AI Campaigns automate this entire process:

1. You configure objectives, audience, and channels
2. The AI generates brand-aware content variations
3. The system tests combinations automatically
4. Traffic shifts to better-performing variations
5. Performance continuously improves

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Creating an AI Campaign

Navigate to Engagement → AI Campaigns and click Create Campaign. The full-screen campaign wizard guides you through 6 steps.

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Step 1: Campaign Type

Choose your campaign type:

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Step 2: Objective

Configure the campaign’s purpose:

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Step 3: Audience

Select which customers to target:

1. Choose an existing audience segment from the dropdown
2. Or select a pre-built audience template
3. Review the audience size

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Step 4: Channels

Select channels to use for the campaign: You can select multiple channels. The AI will test and optimize channel selection per customer. Select your content strategy for the campaign:

• AI Generated: Let the AI create content variations based on your Brand Dossier and briefing
• Template Based: Select existing templates to use in the campaign

When using AI generation, the system creates 6 variations per channel using the Creative Concept Framework:

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Step 5: Budget

Configure execution scheduling with one of three modes: Execution limits control how many times the campaign runs before auto-stopping: When a limit is set, the system shows a preview of the expected campaign duration.

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Step 6: Review & Launch

Review all campaign configuration on a single summary page. From here you can:

• Launch Campaign: Start the campaign immediately
• Save as Draft: Save without launching for later editing

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Campaign Editing

You can edit campaigns that are in Draft or Active status. To edit a campaign:

1. Click the pencil icon or select Edit Campaign from the action menu
2. The campaign wizard reopens with all existing settings pre-loaded
3. Make your changes across any step
4. Click Launch Campaign to save and launch, or Save as Draft to keep as draft

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Campaign Restart

To restart a campaign that has already been dispatched:

1. Open the action menu (three dots) on any campaign row
2. Click Restart Campaign
3. The campaign is restarted on the backend with a fresh execution cycle

The restart preserves the campaign configuration but resets the execution count. A toast notification confirms the restart with the new execution details.

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Campaign Management

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Campaign States

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Pausing and Resuming

To pause an active campaign:

1. Click on the campaign
2. Click Pause
3. Confirm

The campaign stops sending but retains all learning. Resume anytime to continue where you left off.

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Monitoring Performance

View real-time metrics on the campaign detail page:

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Template Performance

See how each template variation is performing:

• Open rate
• Click rate
• Conversion rate
• Revenue per send

The MAB algorithm automatically shifts traffic toward better performers while continuing to test others.

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Channel Performance

Compare results across channels:

• Which channel has highest engagement
• Which channel drives most conversions
• Channel-specific delivery rates

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Optimization Details

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How the MAB Algorithm Decides

For each customer interaction, the algorithm considers:

1. Template Performance: Historical conversion rates
2. Channel Effectiveness: Customer’s engagement history per channel
3. Send Time: Optimal time based on past behavior
4. Exploration Needs: Whether more testing data is needed

The default exploration rate is 15%, meaning 85% of sends go to proven winners while 15% continue testing other variations.

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Convergence

Over time, the algorithm converges on optimal settings:

• Early: Heavy exploration, traffic split across variations
• Mid: Winning variations receive more traffic
• Late: Best performers dominate, minimal exploration

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Best Practices

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Template Diversity

Provide diverse templates that test different approaches:

• Include emotional AND rational appeals
• Vary subject lines significantly
• Test different CTAs
• Don’t use nearly identical variations

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Audience Size

Larger audiences provide more data for optimization:

• Minimum recommended: 1,000 customers
• Optimal: 10,000+ customers
• Smaller audiences can work but optimize more slowly

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Runtime

Give campaigns time to optimize:

• Minimum: 7 days
• Recommended: 30 days
• Longer runtime = better optimization

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Budget Allocation

Set budgets that allow for adequate testing:

• Too low: Not enough sends to learn
• Too high: May waste budget on underperformers early

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Frequency Caps

Respect customer preferences:

• Email: 2-3 per week maximum
• SMS: 1 per week maximum
• Consider overall cross-channel frequency

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Advanced Features

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Campaign Priority

When a customer qualifies for multiple campaigns:

• Higher priority campaigns send first
• Frequency caps are respected across campaigns
• Lower priority campaigns may be suppressed

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Control Groups

AI Campaigns can automatically hold out a control group:

• Measures true lift from your campaign
• Control group receives no messages
• Compare conversion rates to prove ROI

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A/B Testing vs. MAB