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Hotel revenue management

Rate.Occupancy.Profit.

Independent revenue management and commercial advisory for hotels and accommodation businesses. We turn data into decisions that raise profit, not just occupancy.

  • No lock-in contract
  • Independent and data-led
  • Focused on your profit
  • Overview
  • Rates
  • Demand
  • Bookings
  • Pace
  • Market
  • Reports
Sample hotel · 48 rooms12 May – 8 Jun 2025

RevPAR

€98.7

+14.6% vs. comp set

Revenue per available room — ADR multiplied by occupancy.

Daily RevPAR over 28 days. Your hotel opens close to the comp set and pulls steadily ahead, finishing roughly a quarter above it.

ADR

€156

+11.3%

Average daily rate — room revenue divided by rooms sold.

Occupancy

63.2%

+2.8pp

Rooms sold as a share of rooms available.

Room revenue

€186,540

+18.7%

Total revenue from rooms in the selected period.

Market index

124

High demand

Your share of market demand indexed against the comp set at 100.

Top recommendation

Raise BAR for 6–8 June and shorten the minimum stay to 2 nights.

+€6,180 potential

Apply recommendation

Opportunity summary

€27,320

monthly potential

  • Pricing€14,850
  • Length of stay€6,420
  • Channel mix€4,210
  • Restrictions€1,840
Illustrative product preview — figures are synthetic, not a client's results.

Real impact.

We focus on the results an owner actually feels.

Better pricing, more room revenue, more direct bookings and less time lost to day-to-day firefighting.

  • 8–18%

    Higher room revenue

    with sharper pricing and distribution

  • 3–7%

    More direct bookings

    and less dependence on OTAs

  • 5–12%

    Higher average nightly rate

    without needlessly choking occupancy

  • 15+hrs

    Of time saved weekly

    for management, reception and operations

The commercial reality

Revenue leaks do not announce themselves.

They surface as late reactions, inconsistent pricing, demand that was visible but not captured, and distribution economics nobody reviews as a whole.

Reactive pricing

Rates and restrictions are changed too late or inconsistently, so strong dates stay underpriced and soft dates stay loose.

Typical pattern
  • Rate last reviewed11 days ago
  • Dates held at one rate34 of 60
  • Restriction changesNone this month

Missed demand windows

Events, weekends, holidays and pickup signals are recognised after the best pricing opportunity has already passed.

Typical pattern
  • Event dates next 90 days6
  • Priced for the event2
  • Already 80%+ on the books3

Distribution leakage

Channel cost, rate parity and direct-booking economics are managed separately, so nobody sees what a booking is actually worth net.

Typical pattern
  • Channels reviewed togetherRarely
  • Parity checkedAd hoc
  • Net-of-commission viewNot reported

Commercial drift

Pricing decisions depend on whoever has time that week, rather than a repeatable process with named owners and deadlines.

Typical pattern
  • Fixed weekly reviewNo
  • Named decision ownerUnclear
  • Actions tracked to outcomeNo

Illustrative patterns — typical of properties without a weekly review cycle

How the work operates

Every week we analyse, decide and review.

A regular working cycle that turns data into specific pricing decisions.

01

We find out what is happening

  • Sales results and the state of forward bookings
  • Pricing, demand and the dates that matter
  • Weak spots in the data and in the channels

02

We set the next steps

  • Specific changes to rates and selling conditions
  • Priorities, deadlines and responsibilities
  • Entering the changes into the booking systems

03

We check the result

  • Expectation compared against what actually happened
  • A check on new bookings and how demand is moving
  • Decisions adjusted for the following week

Kanik Advisory analyses, recommends and reviews. Your team makes the agreed changes in the systems, unless we agree otherwise.

What management receives

Management visibility and commercial decisions your team can use.

These are the working documents the engagement produces. Exact scope is confirmed per property before work starts.

  • Revenue diagnostic

    Once, at start

    Pricing posture, comp-set position, distribution leakage and demand-window capture in one structured readout.

  • 90-day commercial plan

    Once, then revised

    Prioritised actions with dates, sequenced by commercial impact rather than by ease.

  • Weekly pricing recommendations

    Weekly

    Specific rate moves by date, with the reasoning attached so your team can challenge or approve them.

  • Restriction recommendations

    Weekly

    MinLOS, closed-to-arrival and closeout logic tied to pace on specific dates.

  • Rolling forecast

    Updated weekly

    Forward view of expected rooms and revenue, with variance against the previous forecast shown.

  • Pace and pickup review

    Weekly

    Where the book is ahead or behind, measured against the comparable point in the prior cycle.

  • Demand calendar

    Rolling 90 days

    Events, holidays and compression dates mapped forward so pricing decisions happen before the window closes.

  • Channel mix review

    Monthly

    Mix, commission cost and parity reviewed together, with a net-of-commission view of what each channel returns.

  • Executive summary

    Monthly

    A short management-level view of position, risks and the decisions ownership needs to make.

  • Revenue review call

    Monthly

    A working call to agree priorities for the coming period and resolve open decisions.

Sample working output

What management sees each week

A sample of the working document produced each week: what the demand signal was, where pace sat, what the issue was, the action proposed, who owned it, by when, and what had happened by the next review.

Weekly revenue action sheet

Week commencing 25 Aug · sample property

Illustrative sample — not client results
  • Thu 4 – Fri 5 Sep

    Congress confirmed
    Pace
    91% on books
    Issue
    Rate unchanged since June; last 6 rooms underpriced
    Action
    Raise BAR €40, apply 2-night MinLOS
    Owner
    Hotel team · due Mon 25 Aug
    At next review
    Applied — sold out at higher ADR
  • Sun 7 – Mon 8 Sep

    Post-event trough
    Pace
    38% on books
    Issue
    Pace 9pp behind prior year, no stimulus in market
    Action
    Open 20 rooms to discounted mobile rate; lift MinLOS
    Owner
    Hotel team · due Wed 27 Aug
    At next review
    Applied — pickup +11 rooms
  • Sat 13 Sep

    Marathon
    Pace
    89% on books
    Issue
    Closed to arrival is blocking 1-night high-rate demand
    Action
    Remove CTA, hold rate, monitor daily
    Owner
    Kanik Advisory → Hotel team · due Fri 29 Aug
    At next review
    Pending next review
  • Weeks 5–8 out

    Soft booking window
    Pace
    3–4pp behind
    Issue
    Late pickup masking a weak forward window
    Action
    Review comp-set pricing at 6 weeks out; test €10 reduction
    Owner
    Kanik Advisory · due Ongoing
    At next review
    Under review
See the full sample structure

Every value above is illustrative. No client data is published on this site.

The engagement

First we set it up. Then we improve it every week.

A one-off setup to begin with, then weekly work on pricing.

Free preview

Free 7-day preview

A personalised VYNOS preview for your property: comp set, demand calendar and a 7-day pricing preview — built from public sources, no commitment.

Free preview in detail

VYNOS

by Kanik Advisory

Weekly pricing decisions for independent hotels.

€199 / month up to 40 rooms · €299 above 40

Specific rates and minimum length of stay for the next 90 days, every week. No lock-in.

VYNOS in detail

Personal accountability

A named person stands behind the recommendations.

Photograph pending

A genuine professional photograph will appear here. No stock or generated portrait is used in its place.

Matúš Kaník

Founder, Kanik Advisory

I analyse your property personally, prepare the recommendations and review them with you on a regular rhythm. No anonymous team, and no hand-offs between consultants.

Relevant background

12+ years
across real estate and the accommodation sector
Formal education
in economics and tourism
Hands-on experience
preparing, opening and operating accommodation properties

Who VYNOS is for

For properties that want to run pricing systematically.

VYNOS makes sense if:

  • you run an independent hotel or guesthouse,
  • you have no revenue manager of your own,
  • you change rates irregularly or mostly by instinct,
  • you have basic booking data available,
  • your team can carry out the agreed changes.

VYNOS is not a fit if:

  • you are looking only for software, without expert direction,
  • you do not want to share the data the analysis needs,
  • there is nobody to carry out the agreed pricing actions,
  • you expect a guaranteed increase in revenue.

Next step

Let's find out whether VYNOS fits your hotel.

Send us the basics. We will assess whether the service fits and propose the next step.

How it works

  1. 01

    You fill in a short form

    A few basic details about the property are enough.

  2. 02

    We check whether the work fits

    We look at the size of the property, the main issue and whether the data is available.

  3. 03

    We agree the next step

    If the service makes sense, we walk through the scope and the terms.

Prefer email? hello@kanikadvisory.com

Briefly about your property

Four details are enough for a first assessment.

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