Pricing strategy consulting compared with continuous pricing software

Two ways to improve pricing

Companies that decide to take pricing seriously usually face a choice. They can hire a pricing strategy consultancy for a project, or they can use software that analyses pricing continuously. The two are often presented as rivals. In practice they do different jobs, and the honest answer to "which is better" depends on what you need right now.

This page compares them fairly, including the cases where a consultant is the better choice.

What a consulting project looks like

A typical pricing consulting engagement runs in phases:

1. Discovery. Interviews with leadership, sales and customers. Review of billing data and win and loss records.
2. Research. Willingness-to-pay surveys, conjoint studies or similar methods, plus a competitor review.
3. Recommendation. New price levels, plan structure, packaging and discount policy, presented with a business case.
4. Rollout plan. How to introduce the change to new and existing customers, sometimes with sales training.

The output is a report and a set of decisions, delivered at a point in time. What happens after the project, including measuring whether the new prices worked, usually sits with your own team.

What continuous pricing software looks like

Monetisation connects to Stripe with a restricted read-only key, to your website and analytics, and to other sources you choose. It builds a revenue model and runs an audit against more than 40 opportunity types. Each opportunity has an estimated monthly impact as a range, a confidence level and the method in plain words.

From there, "Run experiment" turns any opportunity into a measured test: pricing page variants with a holdout group on Growth and Scale, changes you make in your billing measured against the baseline trend, or a playbook. Results end in a verdict of win, flat, loss or not enough data. The audit reruns as data refreshes, so new leaks and opportunities appear as they arise. You can read more on the pricing optimization software page.

Side by side

When a consultant is the better choice

Software is not the right answer for every pricing question. A good consultancy is often the better choice when:

• You are changing the business model. Moving from licences to subscriptions, or from seats to usage, involves contracts, sales compensation and customer communication that data alone does not solve.
• You have no pricing history. A new product or a new market gives software little to analyse. Willingness-to-pay research fills that gap.
• The decision is political. When sales, product and finance disagree, an experienced outside team can broker a decision that sticks.
• You sell complex enterprise deals. Negotiated contracts, procurement and multi-year terms need deal desk design that sits outside self-service software.
• You need customer research. Interviews and surveys reveal why customers value what they value. Monetisation reads behaviour, not opinions.

In these situations, a consultant earns their fee. Pretending otherwise would not help you.

When software is the better choice

Software tends to win when:

• You already have data. A year or more of billing history gives enough to find patterns and estimate changes with reasonable confidence.
• The opportunities are operational. Discount leakage, a missing annual plan, an overage price or a plan gap are concrete and testable. See discount leakage for a typical example.
• You want measurement. Each change gets a baseline, a test window and a verdict, including when the change loses money.
• Budget is limited. A year of Growth costs 2,388 USD billed yearly, a small fraction of a typical project fee.
• Pricing is never finished. Markets, competitors and products move. A single project captures one moment.

A simple cost comparison

Take a hypothetical SaaS with 80,000 USD MRR considering both routes for its first year of pricing work.

The project fee here is an illustration, not a quote. The point is that the bar for payback differs by an order of magnitude, which matters for smaller companies. For larger ones, the depth a consultant brings can justify the fee easily.

Questions to ask either option

Whichever route you choose, a few questions separate useful pricing work from expensive opinion:

• What data is the recommendation based on? Ask to see the inputs, not just the conclusion.
• What assumption about customer response is used? Every price change rests on one. It should be stated.
• How will we know if it worked? A recommendation without a measurement plan is hard to judge later.
• What happens if it fails? A good plan includes a way to reverse or limit a change that loses money.

Using both

The two approaches combine well. Before a consulting project, Monetisation provides the revenue model, plan mix and discount analysis that discovery would otherwise spend weeks assembling. After the project, it measures the recommended changes against the baseline trend, so you know which ones delivered. Every estimate along the way shows its method; the page on how estimates work explains how ranges and confidence are set.

For a broader view beyond pricing, including ads, sponsorship and licensing, read about revenue optimization software.

Where to start

Run a sample audit from the homepage to see the first three opportunities for your business in about a minute, with no card needed. If the findings look like operational fixes, get started on a plan and connect Stripe. If they point to a deeper repositioning, they make a useful brief for a consultant. See pricing for plan details.