climber hotel
TRANSCRIPT
Complex and expensive RMS toolsSpreadsheets
Problem & Opportunity
Independent HotelsLarge Hotel Chains
2
WE PROVIDE PRICING RECOMMENDATION
✓ Occupancy
✓ Competitive set
✓ Events in the city
✓ Based in Machine
Learning
3
WE PROVIDE REVENUE INCREASE OPPORTUNITY DETECTION
Real-time
opportunity
detection
for quick
decision
making
5
Benefit For The Hotels
Saves 6-8hours/week
Increase Revenue 8%-10%/year *
*Revenue per available room 6
End of rate parity in Europe Different pricing allowed in different booking systems
Why Now?
8
RMS Expenditure to double in 5 years to €3.1 Billion in 2020
Recurring Annual subscription
Price varies on size (#rooms): 30€-40€/room/year
ACV = 3.500€ (avg.)
“Request Quote" only (no plans). Price is only disclosed after the 14-day trial
Business Model (SaaS)
9
Mário Mouraz - Founder & CEOJoão Pedro - Founder & CTO
Team
+ Sales + Data Analysis + Software Engineering + Design
16 years in Software Development
Hotel expert. Founded 3 startups.
* Stock options for early employees
11
12
April 2016 100.000€ equity crowdfunding via Seedrs (see terms here).
March 2017• 14 paying hotels in Portugal (2 clients). • ARR of 20.000€. 30% growth M-o-M.• Current burn-rate: 5.000€.• Sales Model tested so far: outboud sales. Zero investment in paid Mtkg.• Closing Seed-Round of 600.000€ (20% already committed) to scale faster to
Europe (in 2017 - United Kingdom, Germany and France). Intention to closethe round in March.
• Use of funds: 40% to build a Sales team, 30% Develop connectivity with 20 new PMS (Hotel Reservations System), 15% Marketing, 15% Others).
• Current waiting list for 14-day trial: 130+ hotels.
July 2016 Product launch with 4 hotels in beta-test.
Milestones & Traction
13
Dec’17 300.000€ ARR 105 hotels 6 Salesreps
Jul’181M€ ARR365 hotels14 Salesreps
GoalsApr’17Become profitable
Mário Mouraz - [email protected]+351 91 757 98 93
www.climberhotel.com
Optimizing hotel data. Increasing revenue.
14
CASE STUDYTYPE OF HOTEL: Hotel chain with 11 hotels
CHALLENGE :
✓ Automate RM processes
✓ Consolidate reporting for reliable decision-making
✓ Reduce decision-making risk
CLIMBER SOLUTION:
✓ Automates opportunity detection in real-time
✓ In 4 months: 4.800 revenue-enhancement opportunities detected
✓ Easy and fast to use - eliminating manual detection and helping reduce the
amount of work by 50 percent.
Miguel Castello Branco, Revenue & E-Commerce Manager at DHM:
“Now we can analyse the market deeply and act faster, being more
effective and consequently generating more revenue… We were able
to save time preparing reports, and redirect our attention to what really
matters.” 15