Pricing, yield & revenue intelligence
Hands-on guides on revenue management, competitive pricing, and dynamic-pricing strategy — written by the team building Luska.
How to measure whether a price change worked
Define 'worked' first, know your break-even volume, compare whole weeks, and check what else changed. A method any store can run on its sales data.
Pricing in multiple currencies: selling across the Nordics and the EU
Three kronor, the euro, slightly different VAT and one market outside the EU. How to set prices that look native and still hold their margin.
Price positioning: should you be cheapest, middle or premium?
Every store has a price position, chosen or not. How to pick one, measure it with a price index and vary it by product role.
MAP monitoring: how brands track minimum advertised prices
Monitoring is a data problem; enforcement is a legal one. How to track minimum advertised prices reliably, and where the US and EU rules differ.
Repricing strategy for e-commerce: segments, positions and guardrails
Segment the catalogue, set a position against the market median, pick a few rules and guard the floor. A repricing strategy you can actually run.
A competitor lowered their price: what to do next
Before you match a competitor's lower price: check it is real, check it matters, and pick from six responses — most of which keep more margin than matching.
How to price products for an online store: cost, market and position
True unit cost, margin rather than markup, a market check and a deliberate position. A step-by-step method, with a worked example.
Dynamic pricing for small online stores: a practical starting point
Not surge pricing. A short list of signals, firm guardrails and a weekly routine that a small online store can actually keep up.
Selling on price comparison sites: how PriceRunner, Prisjakt and idealo affect your pricing
On a comparison site your price sits in a sorted list next to every rival. What that means for pricing, click costs and which products to list.
Minimum margin pricing: how to set a price floor for your online store
The price floor is the rule that stops competitive pricing from selling stock at a loss. How to calculate one properly, with the costs most shops forget.
Price matching strategy for e-commerce: when to match competitors and when not to
Matching every competitor price cut is how margins disappear. Five questions to ask before matching, and the rules that keep a matching policy profitable.
How often should you check competitor prices?
Hourly, daily or weekly? A practical way to set how often you check competitor prices, based on how fast your market moves and how fast you can act.
Black Friday pricing strategy for online stores: a practical plan
Which products to discount, how deep to go, where the margin floor sits and how to react to competitors, plus the EU 30-day rule on advertised reductions.
Competitor price tracking: spreadsheet or software?
A spreadsheet is the right place to start tracking competitor prices. Here is how to structure one, where it fails, and how to tell when to switch to software.
What is a competitive price index? How to calculate and use it in e-commerce
One number that shows where your price sits against the market. How to calculate a competitive price index, which reference to use and how to read it.
How to track competitor prices on Shopify: a step-by-step guide
Shopify shows your own prices and margins but nothing about the market. Here is how to choose what to track, collect it reliably and turn it into price changes.
How to use data to set prices (without a data team)
Three columns and a habit is enough to start. Here's the minimum useful version of data-driven pricing.
Data-driven pricing strategy: the six signals that move revenue
Replace cost-plus with a measurable loop. The six signals, the guardrails, and what to expect in the first 90 days.
How dynamic pricing increases revenue (without the chaos)
Not surge pricing. Not a hedge fund. Just a price that updates with the data — within bounds you control.
Price optimization software: a buyer's guide (2026)
What the category actually does, the four questions that matter, and how to avoid overbuying.
Good-better-best pricing: how to design the three-tier ladder
Three boxes isn't a strategy. The role of each tier, the price ratios that work, and why the top tier exists to anchor the middle — not to sell.
Festival ticket tiering: early-bird, GA, VIP, and last release
Each tier should buy you something different — cashflow, anchor price, margin, tail demand. How to design and price the tier structure that holds up.
Bid price vs leg-based pricing in airline revenue management
A bid price is the marginal value of one seat. How O&D pricing uses it to beat leg-based revenue management — and where the model still breaks.
Rules vs ML repricing: when to switch your pricing engine
Rules give you control. ML gives you outcomes. The honest comparison, when to switch, and the hybrid stack that beats either one alone.
Booking pace and pickup reports: reading hotel demand early
Most hotels know last night's occupancy. The good ones know next Saturday's by Wednesday. The reports that close the gap — and how to actually read them.
Dynamic pricing vs personalised pricing: where the line is (and the law)
Dynamic prices the moment; personalised prices the person. Customers and regulators react very differently to the two — here's the line, the law, and what to do.
ADR vs RevPAR vs GOPPAR: The hotel KPIs explained
ADR, RevPAR and GOPPAR look similar but tell three completely different stories. Here's the side-by-side, a worked example, and which to optimise for who.
What is RevPAR? Formula, examples, and how to grow it
RevPAR is the single most important hotel KPI. The formula, two worked examples, the three levers that move it, and the blind spots to watch.
Demand-driven pricing for events: weather, holidays, and competing shows
Time isn't the only thing that should move ticket prices. The seven demand drivers a credible event pricing engine ingests — and the layered model that combines them safely.
Psychological pricing: charm prices, anchoring, and decoys that work
Charm endings, anchoring, decoys, bundling. The four psychological pricing techniques with real evidence behind them — and three popular myths the data doesn't support.
Load factor vs yield: the two numbers every transport operator should track
Load factor and yield pull in opposite directions — and either one alone can be gamed. The formulas, a worked example, and why RASK is the only metric that ties them together.
Event ticket pricing: time-decay models that maximise sell-through
Sell-through curves, the four-phase booking window, demand drivers, and the three communication rules that separate successful dynamic ticketing from PR disasters.
Yield management in transportation: airlines, buses, and rail
Fare classes, nested availability, EMSR protection levels — and how the same playbook gets applied differently across airlines, high-speed rail, and intercity buses.
MAP pricing compliance: what it is, how to enforce it, what to avoid
MAP controls advertising, not sale price — and that distinction is what makes it broadly legal. Here's how brands monitor and enforce it, and how retailers should respond.
Price elasticity of demand: formula, examples, and how to estimate it
The single number that decides whether a price hike grows or destroys your revenue. Formula, examples, and three credible ways to estimate elasticity for your own products.
Competitor price monitoring: how to track competitor prices (e-commerce guide)
A step-by-step guide to competitor price monitoring for online shops — comp set, product matching, check frequency, and reacting without destroying margin.
Pricing strategy fundamentals: cost-plus, value-based, dynamic & more
Cost-plus, competitor-based, value-based, dynamic. The four pricing strategies every operator should be able to recognise on sight — and how to pick the right one per SKU.
Pricing tactics, weekly.
One short email every Thursday: a dynamic-pricing tactic, a market signal, and a number worth knowing. No spam.