OPTIMIZING HOTEL DATA. INCREASING REVENUE.

Mar 20171

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 PICKUP ANALYSIS

Automatic

analysis that

saves time

and reduces

risk

4

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

4% of hotels

globally

96%

UNTAPPEDMARKET

3-/4- & 5-star hotels

€1.6Billion

7

Market

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

Higher Cost

Speed of integration

Lower Cost

10x faster

Competition

10

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 - mario@climberhotel.com+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