S2E12 – 4 Pricing Trends to Watch in 2026

Key takeaways

• Hybrid pricing models are replacing rigid subscription-only or usage-only structures.
• Simplification can improve quote speed, sales efficiency, and customer understanding.
• Outcome-based pricing is gaining ground as AI makes results easier to track and validate.
• Entry-level offers and value tiers are becoming more important as budgets face pressure.

1. Hybrid pricing models are becoming the norm

The first major trend is the move toward hybrid pricing. Companies are combining different pricing elements instead of relying on one model across the entire customer base.

In software and technology, subscription businesses are adding usage-based charges, especially where AI creates variable costs. A subscription can provide predictable revenue, while usage pricing helps the provider account for the extra resources consumed by customers.

The movement is also happening in the opposite direction. Businesses built around usage-based pricing are adding fixed fees or subscriptions to make revenue more predictable. Usage can be strong one month and much lower the next, which creates challenges for forecasting and planning.

In industrial and manufacturing markets, hybrid structures may include:

• Volume tiers
• Fixed-price periods
• Order-ahead arrangements
• Longer contract terms
• Customer-specific pricing windows

The important question is who is driving the change. If customers are asking for a different structure, the existing model may already be behind the market. If the company is leading the change, the model needs to be tested carefully against customer needs and buying behavior.

At Revenue Management Labs, this type of work starts with the customer, industry, cost structure, and sales process. A hybrid model should create value for the business without becoming difficult for customers or sales teams to understand.

2. Pricing simplification is a competitive advantage

Complex pricing creates friction. Internally, sales teams may struggle to prepare quotes. Externally, customers may not understand what they are buying or why the price changes from one proposal to the next.

This matters most during competitive bids. In many businesses, a slower quote does not lead to a higher win rate. It often means the customer has more time to consider another option.

Simplification does not mean removing all precision. The goal is to reach the same quality of pricing decision faster.

One example discussed in the episode involved a complicated data and consulting offer. The business used dozens of variables and needed roughly six weeks to produce a quote. Analysis showed that only a small group of variables was needed to reach a similar price point. The process could then be completed in minutes rather than weeks.

A practical simplification review should ask:

1. Which inputs actually change the price?
2. Which variables create little or no decision value?
3. Can sales teams explain the structure clearly?
4. Can customers compare the offer without a long negotiation?
5. Does the model work across the company’s key segments and channels?

AI can support this work by identifying patterns across quotes, deals, costs, and customer behavior. But the output still requires pricing expertise and commercial judgment. A model that looks simple on paper may not be practical for the sales team using it every day.

3. Outcome-based pricing will keep expanding

Outcome-based pricing is different from usage-based pricing. Usage pricing charges for activity or consumption. Outcome-based pricing charges for an agreed result.

Examples might include closing an IT ticket, improving a measurable business process, or delivering a defined commercial outcome. The customer is paying for the value created rather than simply the amount of time, access, or volume used.

This approach is becoming more realistic for two reasons:

• AI and automation make it easier to track outcomes in real time.
• Better reporting gives both parties a clearer view of the value being delivered.

Outcome-based pricing can also fit naturally into procurement conversations. When a proposal is linked to a business case, purchasing teams can evaluate it against expected economic value.

Still, outcome-based models can become too complicated. Companies may add too many conditions, measurement rules, and exceptions. That creates the same confusion they were trying to solve.

The best models define a small number of outcomes that are measurable, relevant to the customer, and linked to a clear commercial logic. Revenue Management Labs helps organizations connect these measures to custom pricing models, then supports implementation so the structure works in real customer conversations.

4. Value offerings will matter in a tighter budget environment

The final trend is the continued demand for entry-level price points and value offerings. Across sectors, budgets are being reviewed more closely. Customers may still need a solution, but they may no longer be able to justify the premium version.

In consumer goods, this can support private-label growth and lower-priced alternatives. For established brands, the challenge is deciding how to compete without weakening the core offer. Options may include:

• New pack sizes
• Channel-specific products
• Different service levels
• Separate brands
• Lower-cost product configurations
• Targeted promotions

The same issue applies to B2B software, technology, manufacturing, and distribution. A portfolio may need an accessible entry point for customers who cannot buy the premium product today.

One example involved a parts manufacturer with a premium product, strong warranty, and technical support. Lower-cost offshore competitors were taking sales. The company responded by creating a separate, more basic brand with fewer services and a lower price. This allowed it to compete for value-focused buyers while protecting the premium brand from direct cannibalization.

The strategy works when the tradeoffs are clear. Customers understand what they give up in exchange for the lower price, and the company can serve a broader market without treating every customer the same.

Planning for 2026

The four trends point to one broader lesson: pricing needs to become more flexible, but not more confusing. Companies will need models that reflect changing costs, customer preferences, measurable value, and pressure on budgets.

For executive teams, the 2026 planning agenda should include:

• Reviewing whether the current pricing model matches customer buying behavior
• Removing inputs that slow quoting without improving decisions
• Defining outcomes that can be measured consistently
• Building clear value tiers without damaging premium positioning
• Testing changes with sales teams and customers before scaling

AI can speed up analysis and reveal patterns that are difficult to find manually. It should support, not replace, the experience needed to interpret market context and make sound pricing decisions. The companies that perform best will connect strategy to execution and make sure their pricing changes actually stick.