For subscription apps at scale, one-size-fits-all pricing leaves money on the table. Dynamic pricing adjusts your monetization strategy at the individual user level, optimizing for both conversion and revenue.
Why Static Pricing Breaks at Scale
When you have a static price (e.g., $9.99/month for all users), you're making an implicit bet that this price is optimal for every user who sees it.
But users have different purchase probabilities and different LTV potential. A highly engaged user who's spent 30 minutes exploring your app has a much higher purchase probability than a user who just installed it. A user from a high-LTV demographic has different value than a user from a low-LTV demographic.
Static pricing treats all these users identically, leaving revenue on the table. Some users would pay $19.99 but you're only asking for $9.99. Other users might only pay $4.99 but you're pricing them out.
Dynamic pricing optimizes for this variation.
How Dynamic Pricing Works (5 Steps)
Step 1: Collect Behavioral Signals
As a user navigates your app, collect data: which features they use, how much time they spend, their engagement level, what content they view, their location, device type, and any explicit preferences they've shared.
Step 2: Predict Purchase Probability
Using machine learning models, predict the likelihood this user will purchase a subscription if shown a paywall. This is based on behavioral signals and historical data from similar users.
Step 3: Predict LTV (Lifetime Value)
Predict how much revenue this user will generate over their lifetime, accounting for churn risk. Users from high-LTV cohorts (older demographics, high-engagement users) have higher predicted LTV.
Step 4: Select the Optimal Price
Based on purchase probability and LTV, determine the price or offer that maximizes expected revenue for this user. A highly engaged user with high purchase probability might get the full price. A lower-engagement user might get a discount. A very low purchase probability user might get an aggressive trial offer.
Step 5: Deliver the Personalized Paywall
Show the user the paywall with their personalized price or offer. Measure the impact on conversion, churn, and revenue.
Dynamic Pricing vs. Localized Pricing
Localized pricing adjusts prices by country or region (e.g., lower prices in emerging markets). This is different from dynamic pricing, which adjusts at the individual user level based on behavior.
Both are valuable, but they serve different purposes. Localized pricing addresses purchasing power differences across geographies. Dynamic pricing addresses variation in user value and purchase probability within your user base.
Dynamic Pricing vs. A/B Testing
A/B testing shows different prices to random segments and measures which performs best. Dynamic pricing uses behavioral signals to make individualized pricing decisions.
A/B testing answers: "Is $9.99 or $19.99 better?" Dynamic pricing answers: "What's the optimal price for this specific user?"
Dynamic pricing can be more efficient at scale because it personalizes to the individual, rather than finding a one-size-fits-all price. However, both are valuable: A/B testing helps you understand your user base, while dynamic pricing operationalizes those insights.
Is Dynamic Pricing Allowed on iOS?
Yes. Apple allows subscription apps to offer different subscription products to different users, and to use "introductory pricing" or "promotional pricing" based on user behavior.
The key requirement: you can't use the same subscription product with different prices. Instead, you create multiple subscription products (e.g., "Premium $9.99/month", "Premium $4.99/month trial", "Premium $19.99/month") and serve the right product to each user based on eligibility rules.
For more details, see our full guide: Is Dynamic Pricing Allowed on iOS?
How Botsi Implements Dynamic Pricing
Botsi's platform makes it easy to:
- Define user segments based on behavioral signals
- Create pricing rules: "If user matches segment X, show price Y"
- A/B test different pricing strategies
- Measure impact on conversion, churn, and revenue
We handle the compliance requirements (ensuring you only offer predefined products on iOS, building the paywall variants, etc.) so you can focus on strategy.
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