Pricing decisions in days, not quarters.
Kovela Studios pairs AI-driven market and elasticity analysis with senior pricing strategists — so you ship the right price before your competitors finish their RFP.
No 12-week onboarding. No junior-analyst learning curve. Discovery call within 48 hours.
Traditional engagements weren't built for how fast markets move now.
A pricing project at a Tier-1 firm starts with a 6-week discovery phase, runs through a partner and two junior analysts who are learning your business as they go, and ends in a 200-slide deck that someone still has to translate into an actual price change.
By the time it lands, your competitor has already shipped three pricing experiments. Kovela Studios exists to close that gap — AI does the modeling in hours, a senior strategist validates it against your reality, and you leave with something you can implement the same week.
Illustrative timeline for a single-product pricing architecture engagement. Actual duration varies with scope, confirmed at discovery.
One engine, one strategist, one decision.
The AI layer removes the weeks of manual modeling. The strategist makes sure it's grounded in how your business actually sells.
Onboard
You get direct access to the Kovela Studios pricing team from day one — what you want to test, how your business actually sells, where the competition is squeezing you.
Model
Our strategists turn that intel into a survey built from scratch for your buyers — no recycled templates, no generic panel.
Validate
Your responses become elasticity curves, willingness-to-pay bands, and packaging scenarios — the hard math behind what buyers will actually pay.
Ship
You walk away with one clear number, backed by data, ready to drop into your CRM by morning.
Same rigor. A fraction of the time and the invoice.
We didn't remove the expertise — we removed the overhead that made pricing projects slow and expensive in the first place.
Swipe to compare →
| Dimension | Traditional firm | Kovela Studios |
|---|---|---|
| Timeline | 8–12 weeks | 2–3 weeks |
| Team | Partner + junior analysts learning your business | Senior strategist + AI analysis engine |
| Cost | $150K–$400K+ per engagement | Fraction of that, scoped per sprint |
| Deliverable | Static slide deck | Living pricing simulator + price recommendations, mapped to real revenue impact |
| Refresh cadence | Annual, if renewed | Continuous — model updates as your market shifts |
Six ways we get you to the right price faster.
Pricing Strategy Sprint
A full pricing architecture — tiers, metrics, and price points — built and validated in 2–3 weeks.
Packaging & Tiering Design
Restructure your plans around what buyers actually value, not what shipped first.
Usage-Based & Dynamic Pricing Models
For consumption, marketplace, and API businesses — we build the elasticity model and the guardrails that keep it from eroding margin as you scale.
Delivered with a live simulation sheet your finance and product teams can run scenarios against — not a static assumption in a slide.
Discount & Deal Desk Optimization
Find out exactly where discretionary discounting is quietly costing you margin, and fix the approval logic that lets it happen.
Competitive Pricing Intelligence
Continuous monitoring of competitor pricing and packaging changes, not a one-off snapshot that's stale in a month.
Win-Loss Pricing Analysis
Mine your CRM and closed-lost notes to find out where price — not product — is actually costing you deals.
The pricing math changes by category. So does our methodology.
A conjoint study built for a restaurant menu tells you nothing useful about SaaS packaging, and vice versa. We match the method to how your specific buyers actually decide, then hand you a model — not a generic template.
Menu economics, engineered — not eyeballed.
Most restaurants still price their menu by gut feel, even as food, labor, and operating costs keep climbing. We take a data-driven approach instead, using menu-based conjoint analysis to learn how customers actually value each item based on its ingredients, portion size, and price point. The result is real sensitivity data, not guesswork, that shows you exactly where you're leaving money on the table. We use this to re-engineer your pricing and lift your average check, item by item, based on what your customers are actually willing to pay.
- Menu-based conjoint studies that price individual dishes, add-ons, and prix-fixe structures against real diner trade-offs, item by item.
- Value-based pricing that aligns every price point with what diners actually perceive a dish is worth — not a cost-plus markup.
- Menu-item profitability analysis, mapping every dish by margin and popularity, to decide what to feature, reposition, reprice, or cut.
- Channel-specific pricing across dine-in, delivery, and third-party platforms, so a 20–30% commission doesn't quietly erase the margin you just optimized for.
Price and portfolio decisions, backed by demand curves.
In an ever-changing market, companies selling direct to consumers are locked in a constant battle over the same four questions: how much will customers actually pay for this good, how much more will they pay if we add this feature, will a new product line grow the business or simply cannibalize our bestseller, and how should today's trends reshape which products we discount and which ones we take price on. We answer all four with the same rigor a Tier-1 firm would bring — at sprint speed.
- Price elasticity modeling across SKUs and price tiers, so markdown depth and MSRP moves are grounded in demand curves, not gut feel.
- Marginal willingness-to-pay by feature — a stone upgrade in jewelry, a fabric or fit change in apparel, a formulation or packaging claim in beauty — quantified line by line.
- Portfolio cannibalization mapping that shows which line extension expands the category and which one just eats your bestseller's margin.
Packaging, feature value, and buyer psychology — quantified.
Good-Better-Best only works if the gaps between tiers reflect what buyers actually value. We quantify feature importance and willingness-to-pay across your entire buying committee, then design the packaging architecture that captures it.
- Good-Better-Best packaging design — which features anchor which tier, and where the price gaps should sit to maximize the upgrade path.
- Feature-level importance and willingness-to-pay, so your roadmap and your price sheet draw from the same data instead of competing opinions.
- Buyer segmentation on value perception — economic buyers, technical evaluators, and end users each weigh price against features differently; we model all three so packaging serves the whole committee.
Pricing consulting, priced the way it should be.
Three ways to work with us, scoped to how urgently you need a decision.
- One pricing decision, fully modeled
- Elasticity + willingness-to-pay analysis
- Implementation-ready rollout plan
- Senior strategist review, start to finish
- Everything in Pricing Sprint
- Quarterly model refresh
- Deal desk & discount support
- Direct strategist Slack channel
- Everything in Pricing Partner
- Embedded pricing intelligence in your stack
- Multi-product & multi-region modeling
- Dedicated pricing team, embedded
Figures shown are illustrative starting points. Final scope and pricing are confirmed after a discovery call.
Before you book a call
No. The AI layer handles the heavy lifting on data — elasticity modeling, market scanning, scenario generation. Every recommendation is reviewed and stress-tested by a senior pricing strategist before it ever reaches you.
Traditional firms staff engagements with expensive partners and junior analysts who spend weeks building models by hand. Our AI engine does that modeling in hours, so you're paying for strategist judgment — not analyst hours.
Every engagement starts with a discovery call. If your product line, region mix, or GTM motion needs a different structure, we scope that with you before you commit to anything.
Most Pricing Sprints run 2–3 weeks from kickoff to an implementation-ready model. Multi-product or multi-region pricing architectures can run longer — we'll tell you upfront during the discovery call, not halfway through the engagement.
We work best anywhere pricing is a lever, not a fixed catalog — SaaS and platform businesses, marketplaces, consumer subscription products, usage-based or API-metered companies, restaurant and hospitality groups running menu-based pricing, and consumer goods brands across jewelry, apparel, and beauty.
Your next pricing decision doesn't have to wait for a quarterly planning cycle.
Tell us where you're stuck — packaging, discounting, a new pricing model, or a renewal that's about to go sideways. We'll come back with a scoped plan and a timeline within 48 hours.
Prefer email? Reach us directly at hello@kovelastudios.com.