How should a software company price AI features?

Start from what the feature costs to run and what customers would otherwise pay for the same result. Then decide whether it belongs in an existing tier, a paid add-on, or a usage or credit allowance.

When does usage-based pricing make sense?

When the value customers get grows with how much they use the product, and when customers can predict their bills well enough to budget for them.

What data do you need to start?

Billing data, CRM data on deals and discounts, product usage data, and cost data where AI or infrastructure costs are significant.

How long does an engagement take?

Typical engagements run 6 to 12 weeks.

Pricing and packaging for B2B software companies

AI lets product teams ship new capabilities in weeks, while pricing and packaging are usually reviewed once a year. We help software companies decide what to charge and how to package it, using their own data, and keep pricing current as the product changes.

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Pricing AI features without undercutting your tiers

We decide whether each AI capability belongs in an existing plan, a paid add-on, or a usage or credit allowance, based on what it costs to run and what customers value.

Usage-based, credit and hybrid pricing

We choose the usage metric that grows with customer value, set credit rates and allowances, and design hybrid plans that customers can understand and budget for.

Moving existing customers to new pricing

We model which customers pay more or less under a new model and plan the migration to protect revenue and retention.

Discounting and deal strategy

We analyze past deals and set discount guidelines and deal desk rules so sales teams price with confidence.

New feature packaging and price points

We decide what goes in core plans, add-ons and premium tiers, and test price points before launch.

How we work on pricing

01
Assess
We build a pricing baseline from your billing, CRM, product usage and cost data, add customer research, and recommend the model, price points and packaging that fit.
02
Implement
We plan the rollout with product, sales and finance, including how existing customers move to new pricing and what your billing and quoting systems need.
03
Keep pricing current
As new features and AI capabilities ship, we update packaging and price points so each release earns revenue. StackIQ supports this work in the back end.

Results from engagements our team has led

$234M: in revenue driven for VC- and PE-backed software and tech companies
$3.6M: annual sales uplift for a communications software company moving to product-led growth
35%: lower customer churn for a payment processor after pricing by customer segment, while total revenue grew

Frequently asked questions

How should a software company price AI features?: Start from what the feature costs to run and what customers would otherwise pay for the same result. Then decide whether it belongs in an existing tier, a paid add-on, or a usage or credit allowance.
When does usage-based pricing make sense?: When the value customers get grows with how much they use the product, and when customers can predict their bills well enough to budget for them.
What data do you need to start?: Billing data, CRM data on deals and discounts, product usage data, and cost data where AI or infrastructure costs are significant.
How long does an engagement take?: Typical engagements run 6 to 12 weeks.

Talk to us about your pricing and margins.

Most of our engagements start with a short conversation about what you are trying to change and what data you have.