Growth Consulting Book a diagnostic

Services — 03

A price your team can hold through procurement.

We find the value metric your buyers accept, build packages that match how they approve spend, and set discount rules your sales team can defend. Then we test the change on new business before it touches your existing customers.

At a glance

Duration

6–10 weeks

Inputs

Quotes, discounts, interviews

Output

Value metric, packages, rules

Rollout

New business first

Testing

One variable at a time

01 — Signs

When price is the constraint, it rarely looks like price.

Pricing problems usually show up as discounting, slow procurement and flat expansion, and get blamed on sales execution.

Ref

What you see

What is usually behind it

01

Average discount above 20%

No clear reason to pay list. Packages do not separate buyers by the value they get.

02

Deals stall in procurement

The price structure does not match how the buyer budgets: per seat when they budget per transaction, or the reverse.

03

Expansion revenue is flat

The value metric does not grow as the customer gets more value from the product.

04

Most deals need a custom quote

Packages do not match the common buying patterns, so every deal starts from scratch.

02 — How we work

Evidence first, then architecture, then rules.

Pricing work fails when it starts with a spreadsheet of competitor prices. Ours starts with how your buyers get value and how they approve spend.

01

Evidence

Analyze 12 to 24 months of quotes, discounts and win-loss by segment and package.

02

Value metric

Test candidate metrics, such as seats, usage, transactions or assets, against how value grows for the customer.

03

Willingness to pay

Structured interviews and price-sensitivity research with customers and recent prospects.

04

Packages

A good, better, best architecture, with add-ons for the features only some buyers need.

05

Governance

Discount bands, approval rules and deal-desk guidance your sales team can follow.

03 — Package architecture

Packages that sort buyers by value.

Each package exists for a specific buyer, and each step up is triggered by something that buyer actually needs, not an arbitrary feature gate.

Core

For teams proving the use case

Value metric

Per 1,000 transactions

Core workflow and standard integrations

Up to five users

Email support

Growth

Recommended

For teams running it in production

Value metric

Per 1,000 transactions, volume tiers

Everything in Core

Advanced rules and reporting

SSO, audit log and priority support

Enterprise

For regulated, multi-entity buyers

Value metric

Platform fee plus usage

Everything in Growth

Data residency and custom terms

Named success manager

Illustrative architecture for a fintech platform. Your packages follow your buyers, not this template.

04 — Testing safely

Change the price without betting the base.

Pricing changes are tested like any other change: on a defined cohort, one variable at a time, with the whole funnel in view.

01

New business first

Changes apply to new customers for one or two quarters before existing customers see them.

02

One variable at a time

Change the price or the packaging in a test, not both, so the result is readable.

03

Measure the whole funnel

Track conversion, discount, cycle length and win rate together, not the list price alone.

04

Grandfather with a path

Existing customers keep their terms, with a clear and attractive route to the new packages.

05 — Discount governance

Every discount buys something.

Discounting is not the problem; discounting for nothing is. We set bands, approvals and the trade each discount has to buy, then report on it monthly.

Discount bands

Illustrative

Discount

Approved by

In exchange for

Up to 10%

Account executive

Annual prepayment

10–20%

Sales manager

Multi-year term or volume commitment

Over 20%

Deal desk

A strategic logo, case study rights and a documented trade

Illustrative. Bands are set from your own discount and win-rate data.

06 — Results

Better pricing shows up in contract value and retention.

Typical movement in the first year after new packages and discount rules reach new business.

+18%

Average contract value on new business

Illustrative

−40%

Average discount, with no drop in win rate

Illustrative

−21 days

Time spent in procurement

Illustrative

112%

Net revenue retention, up from 101%

Illustrative

07 — Questions

Questions about pricing.

If yours is not here, bring it to the first call.

Book a diagnostic →

Will raising prices hurt our win rate?

Sometimes, briefly. We test on new business first and watch win rate, cycle and discount together, so a change that hurts conversion is caught within a quarter.

We sell to banks. Does packaging still matter?

More than most. Regulated buyers approve spend in fixed structures, and packages that match those structures move through procurement faster.

Do you set the actual prices?

We recommend them, with the evidence behind each number. Your leadership team decides.

What about our existing customers?

We design the migration path and the communication, and we usually leave the base alone until results from new business are in.

Next step

Stop discounting your way to the number.

Start with a three-week diagnostic. We will show you where price is costing you deals, and where it is not.