Pricing Configuration
Configure how much you earn when people interact with your Deva. This guide covers the pricing slider, earnings splits, and pricing strategy.
Where to find it: Settings → Deva tab → Scroll to bottom
Price Per Response
The pricing slider controls your markup percentage—how much extra users pay on top of the base cost.
How the Slider Works
Range: 0% to 600%
0%: At-cost pricing (you earn minimum, users pay least)
30%: Default recommended markup (balanced)
100%: Double the base cost
600%: Maximum markup (premium pricing)
What it controls: The percentage added to Deva's base operating cost.
Example:
Base cost: 5,000 ₭
Your markup: 30%
User pays: 6,500 ₭ (5,000 + 1,500)
You earn from that 1,500 ₭ margin
Understanding the Cost Breakdown
When you adjust the slider, you'll see a detailed breakdown of where the Karma goes.
Cost Components
The platform shows you exactly how each interaction's cost is distributed:
Estimated Cost To User
The total Karma the user pays for one response from your Deva.
Example: 6,600 ₭
This is: Base cost + (Base cost × Your markup %)
Total Margin Pot
The total earnings pool generated by your markup, split among contributors.
Example: 1,500 ₭
This is: (Base cost × Your markup %)
The Splits
Revenue from your markup is divided among several parties:
Trainer Split:
What: Earnings for people who create response variants for your Deva
Example: 90 ₭
When it applies: Only if you have "Has Trainers" enabled
Referrer Split:
What: Earnings for people who refer users to your Deva
Example: 360 ₭
When it applies: Based on "Number of Referrers" setting
Builder Split:
What: Platform fee for infrastructure, AI costs, and services
Example: 525 ₭
Always applies: Yes, covers running costs
Creator Split:
What: Your earnings as the Deva creator
Example: 525 ₭
Always applies: Yes, this is what you earn
Real Example Calculation
Let's break down a complete example:
Scenario
Base cost: 5,000 ₭ (platform's AI + infrastructure cost)
Your markup: 30%
Has Trainers: Enabled
Number of Referrers: 2
The Math
User pays:
5,000 ₭ (base) + (5,000 × 30%) = 6,500 ₭ totalMargin pot to split:
5,000 × 30% = 1,500 ₭Distribution (example percentages):
Trainer Split: 90 ₭ (6% of margin)
Referrer Split: 360 ₭ (24% of margin, split among 2 referrers)
Builder Split: 525 ₭ (35% of margin)
Creator Split: 525 ₭ (35% of margin) ← YOU EARN THISYour take-home: 525 ₭ per response
Advanced Options
Has Trainers
What it does: Enables other users to propose alternative responses (variants) for your Deva.
Toggle on when:
You want community help improving responses
You're okay sharing a small percentage with contributors
You want diverse response options
Toggle off when:
You want full control over all responses
You want maximum earnings (no trainer split)
Your Deva is highly specialized
Impact on earnings: Reduces your share by ~6% but can improve Deva quality.
Number of Referrers
What it does: Sets how many referrers can earn from users they bring to your Deva.
Options: Typically 0-5 referrers
How it works:
Referrer 1 (direct): Gets largest share
Referrer 2 (indirect): Gets smaller share
And so on...
Choose higher numbers when:
You want viral growth
You're willing to share earnings for more users
You're building a new Deva and need traction
Choose lower numbers when:
You want higher per-response earnings
You already have steady traffic
Referral bonuses aren't important to your strategy
Impact on earnings: More referrers = smaller creator split, but potentially more volume.
Pricing Strategy Guide
Finding Your Sweet Spot
Too Low (0-10%):
Pros: Attracts maximum users, builds audience fast
Cons: You earn very little per response
Best for: New Devas, building reputation
Balanced (20-50%):
Pros: Good earnings, still affordable for users
Cons: None, this is the sweet spot
Best for: Most Devas, recommended starting point
Premium (100-300%):
Pros: High earnings per response
Cons: Fewer users will pay, must justify value
Best for: Expert Devas, niche specializations
Ultra-Premium (400-600%):
Pros: Maximum earnings if users convert
Cons: Very few users, must be exceptional
Best for: Celebrity Devas, rare expertise
Volume vs. Earnings Trade-off
Lower pricing = More users × Lower earnings = Variable total
Higher pricing = Fewer users × Higher earnings = Variable total
Example comparison:
Scenario A: 30% markup
100 responses/month × 525 ₭ = 52,500 ₭/month
Scenario B: 150% markup
30 responses/month × 2,000 ₭ = 60,000 ₭/month
Scenario B earns more with fewer responses, but requires proving exceptional value.
Recommended Starting Strategy
Phase 1 (Month 1-2): Discovery Pricing
Set markup: 20-30%
Enable trainers: Yes
Referrers: 3-5
Goal: Build audience, get feedback
Phase 2 (Month 3-6): Value Pricing
Set markup: 40-60%
Keep trainers if helpful
Referrers: 2-3
Goal: Monetize proven value
Phase 3 (Month 7+): Optimized Pricing
Test different markups
Analyze: responses per month × earnings per response
Adjust based on demand elasticity
Goal: Maximize total earnings
Common Pricing Mistakes
Mistake #1: Pricing too high too early
Users don't know your value yet
Start competitive, raise prices as you prove worth
Mistake #2: Never raising prices
If you're getting lots of responses, you're likely underpriced
Gradually increase markup as demand proves value
Mistake #3: Ignoring the competition
Check what similar Devas charge
Price relative to your quality level
Mistake #4: Optimizing for earnings, not total income
High per-response earnings mean nothing if volume tanks
Optimize:
responses × creator_split = total income
Pricing Examples by Deva Type
General Knowledge Deva
Markup: 20-40%
Rationale: Competing with many generalist Devas
Focus: Volume over premium pricing
Specialized Expert Deva
Markup: 60-100%
Rationale: Unique expertise, less competition
Focus: Value justifies higher price
Celebrity/Influencer Deva
Markup: 150-300%
Rationale: Brand value, fans willing to pay
Focus: Premium experience
Related Topics
Karma System - How Karma works
Transactions - Earning and withdrawing
Withdrawals - Cash out your earnings
Settings Guide - All other settings
Remember: Pricing is an ongoing experiment. Start reasonable, prove value, then optimize based on real data. The best price is the one that maximizes your total monthly earnings (volume × per-response)—not necessarily the highest markup.
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