Answer in brief
An attribution bill grows with whatever the vendor counts. Under data point pricing it follows events, so it rises with active users and tracked events. Under conversion pricing it follows paid installs, so it rises with ad spend. Under MAU pricing it follows the size of the user base. Forecast the counted unit a year ahead and the budget follows.
Growth changes the bill through the counted unit
Your app can grow in three ways: more ad spend, more users or more activity per user. Each pricing model reacts to one of them and mostly ignores the others.
| Billing unit | Bill rises when | Bill stays flat when |
|---|---|---|
| Data points | Active users or tracked events increase | Ad spend rises but event volume does not |
| Paid conversions | Paid installs and re-engagements increase | Existing users become more active |
| MAU | The active user base increases | Each user sends more events |
So the first budgeting step is to decide which kind of growth you expect. A team about to triple its ad budget and a team whose organic users are compounding face different bills from the same vendor.
What a data point bill looks like at higher volume
Airbridge Core publishes its figures, so its curve can be estimated from them: $40+/mo with 500,000 data points included, then $0.0001 per data point.[1] Each row below is an estimate from those published figures, calculated as $40 + (data points − 500,000) × $0.0001.
| Data points in the month | Extra data points | Arithmetic | Estimate |
|---|---|---|---|
| 500,000 | 0 | $40 + $0 | $40 |
| 1,000,000 | 500,000 | $40 + 500,000 × $0.0001 | $90 |
| 2,000,000 | 1,500,000 | $40 + 1,500,000 × $0.0001 | $190 |
| 5,000,000 | 4,500,000 | $40 + 4,500,000 × $0.0001 | $490 |
The line is straight: every extra million data points adds 1,000,000 × $0.0001 = $100. Airbridge says the $40 base covers about 35,000 monthly active users at typical usage.[1] Your own ratio of events to users may be higher or lower, so forecast events, not users.
The step that a straight line hides
Usage is one way the bill grows. The other is a plan change, and it arrives as a step. You move up when you need something the entry plan does not carry, and the price basis can change at the same moment. On Airbridge, for example, advertising on a network beyond Meta Ads, Google Ads, Apple Ads and TikTok needs the Growth Plan, which is custom pricing based on MAU or installs.[1]
List the features you expect to need within a year and mark which plan holds each one. Signals that you have outgrown an entry plan describes the usual triggers.
A simple way to budget twelve months
- Write down this month's count of the vendor's billing unit.
- Apply your growth plan month by month. Use ad budget for conversions, active users for MAU, and active users times events per user for data points.
- Run each month through the pricing formula from the bill estimate guide.
- Mark the month when a higher plan becomes necessary and replace the formula with a quote from that month on.
- Add a margin for your peak month.
Keeping the cost in proportion
Track one ratio each quarter: attribution cost divided by ad spend. If it climbs while spend is steady, look for events that were added and never used, or for a tier that no longer fits. If a contract fixes your volume for a year, compare the commitment with your forecast first, using monthly billing versus an annual contract. The items in costs outside the plan price grow with the app too, so review that sheet at the same time.
Questions and answers
Does an MMP get more expensive as an app grows?
Yes, under every usage-based model, but the trigger differs. Event billing grows with user activity, conversion billing with paid installs and MAU billing with the active user base.
When should I budget for a higher plan?
When your forecast needs a feature the entry plan lacks, such as more ad networks, fraud tooling or raw data export. That change usually moves you to a custom quote, so ask for it before the need is urgent.
Continue reading
Guide
How data point pricing worksData point pricing bills an attribution tool by the events your app sends. What counts, how the included allowance works, and how to keep the count down.
Guide
How conversion-based pricing worksConversion-based pricing charges an attribution tool per attributed install or re-engagement. What counts as a conversion and how the bill moves with ad spend.
Guide
Estimating a monthly attribution bill from your own numbersA step-by-step way to estimate what attribution software will cost each month, using your own installs, events and active users, with a worked example.
Guide
Costs that sit outside the plan priceSeven costs that sit outside an attribution plan's headline price, from add-ons and usage above the allowance to engineering time and renewal terms.
Guide
Questions to ask when a vendor shows no priceTwelve questions to ask an attribution vendor that publishes no price, grouped by unit, volume, extras and contract, and what a complete written quote contains.
Pricing
Best attribution software for your budget: compare the billing unitThe published prices of seven attribution software providers, the unit each one bills, and how to estimate your own monthly cost.
Sources
- Airbridge: https://www.airbridge.io/en/pricing Checked 2026-11-10.
Cite this page
Airbridge. “How the bill changes as the app grows.” bestattributionsoftware.com. Reviewed 2026-11-10. https://bestattributionsoftware.com/budgeting-for-growth