Use data to enhance your prices and increase revenue
Stop guessing. Combine competitor prices, demand pace, willingness-to-pay, and your own margin floor into pricing decisions that compound — across hotels, transport, events, and e-commerce.
14-day trial · No credit card · 60-second setup
Why data-driven pricing beats gut-feel pricing
Cost-plus pricing is honest, simple, and almost always leaves money on the table. It can't see the competitor that dropped 8% last night. It can't see the SKU your customers would happily pay 12% more for. It can't see the comp-set rotating around a long weekend.
Data-driven pricing uses what's actually happening in the market — competitor moves, demand pace, sales velocity, stock — and combines it with what's actually happening in your business — cost, margin, MAP, brand position — to produce a price for this SKU on this day.
Done right, you raise prices where the data says you can, hold where it says you must, and drop only when it's clearly the highest-EV move. The compounding effect over 90 days is the difference between a flat year and a great one.
Six signals that actually move revenue
Most pricing tools track one. Luska weights all six into every recommendation — and shows you why each one fired.
Competitor prices
Live tracking across the URLs you nominate, with circuit breakers that flag scrape drift before it pollutes your recommendations.
Demand pace
Booking pace, sell-through, load factor, or sales velocity — whichever your vertical runs on. Forecasts up to 60 days out.
Willingness-to-pay
Weighted multi-signal WTP ceiling tells you how far you can raise before conversion drops.
Margin & MAP
Hard floors that the engine cannot cross. Set once, enforce on every decision — manual or autopilot.
Category position
Where you sit vs the comp-set on each SKU, with percentile targets per category strategy.
Elasticity
Multi-tier model favouring increases on inelastic items, decreases only where conversion clearly responds.
The 5-step framework
- 1
Connect your catalogue
Shopify sync, or a CSV file (WooCommerce stores can export one). 60 seconds to your first product list. Bring cost data if you want margin guardrails on day one.
- 2
Add 3–10 competitor URLs
Or let Luska's discovery engine suggest them. Daily scrape, normalised currency, OOS-aware.
- 3
Set guardrails
Floor margin, MAP, max change per cycle (default ±15%), positioning target (e.g. P40 of comp-set).
- 4
Review the first batch
The engine ranks recommendations by expected revenue impact. Approve, edit, or dismiss. No silent changes.
- 5
Turn on autopilot per category
Only on categories where you trust the data. Everything else stays human-in-the-loop. Switch off any time.
One engine. Eight playbooks.
The same data-driven approach, tuned per industry.
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FAQ
What is data-driven pricing?
Data-driven pricing sets prices using observed signals — competitor moves, demand pace, sales velocity, willingness-to-pay, margin, and stock — instead of a fixed cost-plus markup. The goal is to capture revenue you'd otherwise leave on the table when conditions change.
How do I use data to increase revenue without losing customers?
Start with guardrails: minimum margin, MAP floor, and a maximum change per cycle (Luska caps at ±15%). Then layer demand and competitor signals on top. Most revenue lift comes from raising prices on items where willingness-to-pay is provably high — not from undercutting.
What data do I need to start?
At minimum: your catalogue with cost and current price, plus competitor URLs to monitor. Sales history, stock, and traffic improve recommendations but are not required to get started. Luska's onboarding will pull what's available from Shopify or a CSV upload.
How fast does data-driven pricing pay back?
Most Luska customers see margin lift within the first 30 days because the engine surfaces under-priced items (high WTP, low competitor pressure) you'd otherwise never catch manually. Compounding gains take 60–90 days as the model learns your elasticity per category.
Is dynamic pricing the same as data-driven pricing?
Dynamic pricing is one tactic within data-driven pricing. Data-driven also covers one-time repositioning, promo planning, and tier ladders. You don't have to change prices daily to benefit — many B2B teams use Luska for weekly recommendations only.
Do I have to give up control?
No. Luska's default mode is recommendation-only — every change requires explicit approval. Autopilot is opt-in per category and respects your guardrails. Even on autopilot, every decision has a full audit trail and rollback.
Start using your data, today
Connect your catalogue, get your first batch of data-backed recommendations in under a minute.