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Customer Data Management
Restaurants are
about service &
the new
consumer is
digital
80%of mobile phones in Europe
are Smartphones
Today, more than 70% of consumers use
mobile phones in restaurants and bars
(source: MWC2014)
Digitalizing the client,
a great opportunity
Combining personal technology with a service aimed at results. Please
offers a system of digitalization of clients which:
•
Increases the frequency of clients in restaurants
•
Betters the frequency of client purchasing
•
Improves the conversion of email marketing
+30%Increase in mobile phone use in restaurants
+250%Increase conversion of email marketing
Digitalizing retail customers
Customer data management flow
PoS traffic
monitorning
Fisrt-level data
acquisition
Custmer
Voice
Email
marketing Corporate App
Mobile
Marketing
POS Digitization
In-store Direct
Marketing
Visits
Frequency
Time spent
Email
Gender
Age
Locality
Sevice
PoS
NPS
Traffic
Recurrence
Loyalty
Apps
Data Base construction and 1st level of interaction 2ª nivel de interacción
#1 Offline to online #2 Online
#2
Customer
satisfaction
We measure the satisfaction
of the service in your
restaurants
Collection, segmentation and customer management
POS wirelessly: From the collection of data from your
customers, automating direct marketing campaigns for the
sole purpose of increasing your sales and retaining your
customers
What we do
#1
Traffic
monitoring
We measure the evolution of
the flow, frequency of visit
and the mean residence time
in your restaurants
#3
Direct
Marketing
Automation
Automation of email
marketing campaigns based
on data obtained
We take the Wi-Fi network from you to create a
channel which then communicates with those who visit
us, creating countless new possibilities
How does the data collection and
segmentation via wifi work?
#1 Traffic monitoring
Of the evolution of affluence and
repeat customers (frequency of visit) and
time spent
#2 Customer satisfaction
Service (0 - 5)
Cleaning (0 - 5)
Speed (0 - 5)
NPS index (0 - 10)
#3 Direct Marketing
Email
ages
locality
POS identifier
Number of visits per store
Date of visit
Number of visits
What type of data we work with?
1# Traffic Monitoring: Measuring affluence,
frequency and permanence
Evolution of the affluence
BeeCell- analysis of the variations in store flow
at each POS to measure the impact of your
campaigns to attract traffic
Visit frequency
BeeCells show you the proportion of repeat
visitors that visit your facilities to measure the
impact of your Loyalty campaigns
Time spent (permanence)
BeeCells show you the time of the customer at
the point of sale and key metrics for optimal
management of operations
1# Traffic Monitoring: Measuring affluence, frequency
and permanence
PoS Data January Febryary March Aprl May June July Agoust September October November December
TOTAL
Influx
(Increase)
4.630
5.145
(16% ↑)
4.946
(6% ↓)
5.345
(19% ↑)
5.745
(8% ↑)
4.946
(6% ↓)
5.345
(19% ↑)
5.345
(19% ↑)
4.946
(6% ↓)
5.345
(19% ↑)
5.345
(19% ↑)
5.345
(19% ↑)
TOTAL Frequency
(Increase)
1.257 (33%)
1.476
(6% ↑)
1.786
(12% ↑)
1.146
(16% ↓)
1.146
(6% ↓)
1.786
(12% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
1.786
(12% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
TOTAL
Permanence
(Increase)
42 min
41 min
(3%↓)
44 min
(5% ↑)
41 min
(03%↓)
41 min
(03%↓)
44 min
(5% ↑)
41 min
(03%↓)
41 min
(03%↓)
44 min
(5% ↑)
41 min
(03%↓)
41 min
(03%↓)
44 min
(5% ↑)
Restaurant 1
Influx
(Increase)
978
1.476
(6% ↑)
1.786
(12% ↑)
1.146
(16% ↓)
1.786
(12% ↑)
1.786
(12% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
1.786
(12% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
Restaurant 1 Frequency
(Increase)
298 (30,47%)
476
(6% ↑)
786
(12% ↑)
146
(16% ↓)
146
(6% ↓)
786
(12% ↑)
476
(6% ↑)
476
(6% ↑)
786
(12% ↑)
476
(6% ↑)
476
(6% ↑)
476
(6% ↑)
Restaurant 1
Permanence
(Increase)
39 min
41 min
(3%↓)
41 min
(3%↓)
44 min
(5% ↑)
44 min
(5% ↑)
41 min
(3%↓)
44 min
(5% ↑)
41 min
(3%↓)
41 min
(03%↓)
41 min
(03%↓)
44 min
(5% ↑)
41 min
(03%↓)
Restaurant 2
Influx
(Increase)
1.673
1.476
(6% ↑)
1.786
(12% ↑)
1.786
(12% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
1.786
(12% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
Restaurant 2 Frequency
(Increase)
369 (22%)
476
(6% ↑)
786
(12% ↑)
146
(16% ↓)
146
(6% ↓)
786
(12% ↑)
476
(6% ↑)
476
(6% ↑)
786
(12% ↑)
476
(6% ↑)
476
(6% ↑)
476
(6% ↑)
Restaurant 2
Permanence
(Increase)
32 min
41 min
(3%↓)
41 min
(3%↓)
44 min
(5% ↑)
1.786
(12% ↑)
41 min
(3%↓)
44 min
(5% ↑)
41 min
(3%↓)
44 min
(5% ↑)
44 min
(5% ↑)
41 min
(3%↓)
44 min
(5% ↑)
Restaurant 3
Influx
(Increase)
767
1.476
(6% ↑)
1.786
(12% ↑)
1.146
(16% ↓)
1.146
(6% ↓)
1.786
(12% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
1.786
(12% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
Restaurant 3 Frequency
(Increase)
245 (31,9%)
476
(6% ↑)
786
(12% ↑)
786
(12% ↑)
146
(6% ↓)
786
(12% ↑)
476
(6% ↑)
476
(6% ↑)
786
(12% ↑)
476
(6% ↑)
476
(6% ↑)
476
(6% ↑)
Restaurant 3
Permanence
(Increase)
41 min
41 min
(3%↓)
41 min
(3%↓)
44 min
(5% ↑)
44 min
(5% ↑)
41 min
(3%↓)
44 min
(5% ↑)
41 min
(3%↓)
41 min
(03%↓)
41 min
(03%↓)
44 min
(5% ↑)
41 min
(03%↓)
Restaurant 4
Influx
(Increase)
1.067
1.476
(6% ↑)
1.786
(12% ↑)
1.146
(16% ↓)
1.786
(12% ↑)
1.786
(12% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
1.786
(12% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
1.476
(6% ↑)
Restaurant 4 Frequency
(Increase)
345 (35,2%)
476
(6% ↑)
786
(12% ↑)
146
(16% ↓)
476
(6% ↑)
786
(12% ↑)
476
(6% ↑)
476
(6% ↑)
786
(12% ↑)
476
(6% ↑)
476
(6% ↑)
476
(6% ↑)
Restaurant 4
Permanence
(Increase)
45 min
41 min
(3%↓)
41 min
(3%↓)
44 min
(5% ↑)
44 min
(5% ↑)
41 min
(3%↓)
44 min
(5% ↑)
41 min
(3%↓)
41 min
(03%↓)
41 min
(03%↓)
44 min
(5% ↑)
41 min
(03%↓)
2# Customer satisfaction: Customer
satisfaction surveys automation
Real time information
The customer satisfaction surveys by BeeCells works
automatically to capture the value of service after the
customer visit and monitors the evolution of the whle
chain
Adapted to any device
BeeCells surveys is suitable for computers, tablets or
phones, offering an unbeatable experience from your
brand to customers
Multiple types of question
More than 15 questions and channeling
arrangements offer you the best satisfaction survey,
Net Promoter Score or custom market research
2# Customer satisfaction: Customer satisfaction
surveys automation
PoS Data January Febryary March Aprl May June July Agoust September October November December
TOTAL
Service
(Incremento)
4,2
4,5
(16% ↑)
4
(6% ↓)
4,1
(19% ↑)
4,3
(8% ↑)
4
(6% ↓)
4,1
(19% ↑)
4,2
(19% ↑)
4
(6% ↓)
4,4
(19% ↑)
4,5
(19% ↑)
4,6
(19% ↑)
TOTAL
Cleaning
(Incremento)
3,9
4
(6% ↑)
4,1
(12% ↑)
3,5
(16% ↓)
3,4
(6% ↓)
3,9
(12% ↑)
4
(6% ↑)
4
(6% ↑)
4
(12% ↑)
4
(6% ↑)
4
(6% ↑)
4
(6% ↑)TOTAL
Quickly
(Incremento)
3,5
3,5
(16% ↓)
4,1
(12% ↑)
3,5
(16% ↓)
3,4
(6% ↓)
3,9
(12% ↑)
4
(6% ↑)
3,4
(6% ↓)
4
(12% ↑)
4
(6% ↑)
3,4
(6% ↓)
4
(6% ↑)
TOTAL
NPS
(Incremento)
7,8
7,9
(3%↓)
8,1
(6% ↑)
7,8
(3%↓)
8
(6% ↑)
8
(3%↓)
7,9
(2% ↑)
8,1
(3%↓)
7,8
(3%↓)
8
(6% ↑)
7,8
8,4
(6% ↑)
Restaurant 1
Service
(Incremento)
4,6
4,5
(16% ↑)
4
(6% ↓)
4,1
(19% ↑)
4,3
(8% ↑)
4
(6% ↓)
4,1
(19% ↑)
4,2
(19% ↑)
4
(6% ↓)
4,4
(19% ↑)
4,5
(19% ↑)
4,6
(19% ↑)
Restaurant 1
Cleaning
(Incremento)
4
4
(6% ↑)
4,1
(12% ↑)
3,5
(16% ↓)
3,4
(6% ↓)
3,9
(12% ↑)
4
(6% ↑)
4
(6% ↑)
4
(12% ↑)
4
(6% ↑)
4
(6% ↑)
4
(6% ↑)Restaurant 1
Quickly
(Incremento)
3,8
3,5
(16% ↓)
4,1
(12% ↑)
3,5
(16% ↓)
3,4
(6% ↓)
3,9
(12% ↑)
4
(6% ↑)
3,4
(6% ↓)
4
(12% ↑)
4
(6% ↑)
3,4
(6% ↓)
4
(6% ↑)
Restaurant 1
NPS
(Incremento)
8
7,9
(3%↓)
8,1
(6% ↑)
7,8
(3%↓)
8
(6% ↑)
8
(3%↓)
7,9
(2% ↑)
8,1
(3%↓)
7,8
(3%↓)
8
(6% ↑)
7,8
8,4
(6% ↑)
Restaurant 2
Service
(Incremento)
4,6
4,5
(16% ↑)
4
(6% ↓)
4,1
(19% ↑)
4,3
(8% ↑)
4
(6% ↓)
4,1
(19% ↑)
4,2
(19% ↑)
4
(6% ↓)
4,4
(19% ↑)
4,5
(19% ↑)
4,6
(19% ↑)
Restaurant 2
Cleaning
(Incremento)
4
4
(6% ↑)
4,1
(12% ↑)
3,5
(16% ↓)
3,4
(6% ↓)
3,9
(12% ↑)
4
(6% ↑)
4
(6% ↑)
4
(12% ↑)
4
(6% ↑)
4
(6% ↑)
4
(6% ↑)Restaurant 2
Quickly
(Incremento)
3,8
3,5
(16% ↓)
4,1
(12% ↑)
3,5
(16% ↓)
3,4
(6% ↓)
3,9
(12% ↑)
4
(6% ↑)
3,4
(6% ↓)
4
(12% ↑)
4
(6% ↑)
3,4
(6% ↓)
4
(6% ↑)
Restaurant 2
NPS
(Incremento)
8
7,9
(3%↓)
8,1
(6% ↑)
7,8
(3%↓)
8
(6% ↑)
8
(3%↓)
7,9
(2% ↑)
8,1
(3%↓)
7,8
(3%↓)
8
(6% ↑)
7,8
8,4
(6% ↑)
Restaurant 3
Service
(Incremento)
4,6
4,5
(16% ↑)
4
(6% ↓)
4,1
(19% ↑)
4,3
(8% ↑)
4
(6% ↓)
4,1
(19% ↑)
4,2
(19% ↑)
4
(6% ↓)
4,4
(19% ↑)
4,5
(19% ↑)
4,6
(19% ↑)
Restaurant 3
Cleaning
(Incremento)
4
4
(6% ↑)
4,1
(12% ↑)
3,5
(16% ↓)
3,4
(6% ↓)
3,9
(12% ↑)
4
(6% ↑)
4
(6% ↑)
4
(12% ↑)
4
(6% ↑)
4
(6% ↑)
4
(6% ↑)Restaurant 3
Quickly
(Incremento)
3,8
3,5
(16% ↓)
4,1
(12% ↑)
3,5
(16% ↓)
3,4
(6% ↓)
3,9
(12% ↑)
4
(6% ↑)
3,4
(6% ↓)
4
(12% ↑)
4
(6% ↑)
3,4
(6% ↓)
4
(6% ↑)
Restaurant 3
NPS
(Incremento)
8
7,9
(3%↓)
8,1
(6% ↑)
7,8
(3%↓)
8
(6% ↑)
8
(3%↓)
7,9
(2% ↑)
8,1
(3%↓)
7,8
(3%↓)
8
(6% ↑)
7,8
8,4
(6% ↑)
GESTIÓN
3# Direct Marketing: Email marketing
campaigns automation
#1 Personal Welcome
(Personalization from the first
email)
#2 Promotion to
new users
(targeting
frequency of visits)
#3 Improving
recurrence in regular
customers
(targeting frequency of
visits)
#4 Birthday
compliment
(Targeting age and birth
date))
5# Promotion to men/
woman
(segmentation by
gender)
6# Promotion to young/
adults
((segmentation by age)
3# Direct Marketing: Email marketing
campaigns automation
How does it work
Multiple locations
Manage your entire network
from one centralized dashboard
and keep control of your
database
Simple installation
The Beecell connects to your
router without any additional
installation and in less than one
minute your new channel is
active
Secure network
BeeCells create a Wi-Fi network
specifically for your customers
and keep your private network
to keep working safely
Mesure your results
Your dedicated Account Manager is responsible
for implementing your customer digitization so you
can focus on your commercial strategy
Nic Olivé
Chairman
For 10 years he was the head of the distribution chain Mango with
8,500 employees and 2,500 stores under its responsibility. He
directed the areas of visual merchandising, window dressing,
store management, distribution, interior design, purchasing
supplies and information systems.
David Gracia
General Manager
David has developed his career as Director of Innovation at Catalunya
Caixa and has worked at Johnson & Johnson as Trade Marketing
Manager. He specializes in payment, product innovation, distribution,
new sales channels and loyalty programs.
Oriol Martínez
WIFI Manager
Bachelors and Masters in Business Administration from ESADE
Business School and the Indian Institute of Management
Ahmedabad. He has developed consulting projects for companies in
the Food & Beverage industry and has worked in Leroy Merlin,
managing teams, implementing trade and listening to customers.
Stanis Zamora
Key account manager
Degree in Business. Specializing in corporate banking with nine years
of experience in the sector Catalunya Caixa. Currently holds the
position of Business Developer at Please, identifying and developing
new business lines.
Jordi Garreta
DIGITAL Manager
Degree in Advertising and Public Relations + a masters in digital
communication by Roehampton University in London, he was
Director of Digital Media of WeberShandwick (McCann Group).
Specialist in new technologies, social media and creating online
communities.
Didac Arnau
Key account manager
Degree in Philosophy from the UAB graduate and in Financial
Consulting from Barcelona Business School of Management. Has 8
years of banking experience in which he has been office manager and
corporate culture ambassador Catalunya Caixa (CX).
Christina Baptista
Retail Operations Manager
He studied International Trade in France. Retail specialist with 12
years experience in Mango as an integral manager of store
operations, Area Manager Italy and Paris. He has worked on
projects for HP, Gallina Blanca and Prosegur to Italy, France,
Portugal and Brazil.
Lluis Zabala
TICKETS Manager
He has directed a startup focused on retail, with whom he won a
European award for the most complete solution for dynamic urban
retail. He has also collaborated in the implementation of technology
solutions for retail chains nationwide. He has worked on projects with
Desigual, Mango, Camper or Decathlon.
Specialists in retail and innovation
Some customers who
trust Please
EsadeCreapolis
Avda. TorreBlanca, 57 2C16
Sant Cugat del Vallés
(Barcelona)
hello@please.to
+34 93 554 30 29

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Please Beecells ENG

  • 2. Restaurants are about service & the new consumer is digital 80%of mobile phones in Europe are Smartphones Today, more than 70% of consumers use mobile phones in restaurants and bars (source: MWC2014)
  • 3. Digitalizing the client, a great opportunity Combining personal technology with a service aimed at results. Please offers a system of digitalization of clients which: • Increases the frequency of clients in restaurants • Betters the frequency of client purchasing • Improves the conversion of email marketing +30%Increase in mobile phone use in restaurants +250%Increase conversion of email marketing
  • 4. Digitalizing retail customers Customer data management flow PoS traffic monitorning Fisrt-level data acquisition Custmer Voice Email marketing Corporate App Mobile Marketing POS Digitization In-store Direct Marketing Visits Frequency Time spent Email Gender Age Locality Sevice PoS NPS Traffic Recurrence Loyalty Apps Data Base construction and 1st level of interaction 2ª nivel de interacción #1 Offline to online #2 Online
  • 5. #2 Customer satisfaction We measure the satisfaction of the service in your restaurants Collection, segmentation and customer management POS wirelessly: From the collection of data from your customers, automating direct marketing campaigns for the sole purpose of increasing your sales and retaining your customers What we do #1 Traffic monitoring We measure the evolution of the flow, frequency of visit and the mean residence time in your restaurants #3 Direct Marketing Automation Automation of email marketing campaigns based on data obtained
  • 6. We take the Wi-Fi network from you to create a channel which then communicates with those who visit us, creating countless new possibilities How does the data collection and segmentation via wifi work? #1 Traffic monitoring Of the evolution of affluence and repeat customers (frequency of visit) and time spent #2 Customer satisfaction Service (0 - 5) Cleaning (0 - 5) Speed (0 - 5) NPS index (0 - 10) #3 Direct Marketing Email ages locality POS identifier Number of visits per store Date of visit Number of visits What type of data we work with?
  • 7. 1# Traffic Monitoring: Measuring affluence, frequency and permanence Evolution of the affluence BeeCell- analysis of the variations in store flow at each POS to measure the impact of your campaigns to attract traffic Visit frequency BeeCells show you the proportion of repeat visitors that visit your facilities to measure the impact of your Loyalty campaigns Time spent (permanence) BeeCells show you the time of the customer at the point of sale and key metrics for optimal management of operations
  • 8. 1# Traffic Monitoring: Measuring affluence, frequency and permanence PoS Data January Febryary March Aprl May June July Agoust September October November December TOTAL Influx (Increase) 4.630 5.145 (16% ↑) 4.946 (6% ↓) 5.345 (19% ↑) 5.745 (8% ↑) 4.946 (6% ↓) 5.345 (19% ↑) 5.345 (19% ↑) 4.946 (6% ↓) 5.345 (19% ↑) 5.345 (19% ↑) 5.345 (19% ↑) TOTAL Frequency (Increase) 1.257 (33%) 1.476 (6% ↑) 1.786 (12% ↑) 1.146 (16% ↓) 1.146 (6% ↓) 1.786 (12% ↑) 1.476 (6% ↑) 1.476 (6% ↑) 1.786 (12% ↑) 1.476 (6% ↑) 1.476 (6% ↑) 1.476 (6% ↑) TOTAL Permanence (Increase) 42 min 41 min (3%↓) 44 min (5% ↑) 41 min (03%↓) 41 min (03%↓) 44 min (5% ↑) 41 min (03%↓) 41 min (03%↓) 44 min (5% ↑) 41 min (03%↓) 41 min (03%↓) 44 min (5% ↑) Restaurant 1 Influx (Increase) 978 1.476 (6% ↑) 1.786 (12% ↑) 1.146 (16% ↓) 1.786 (12% ↑) 1.786 (12% ↑) 1.476 (6% ↑) 1.476 (6% ↑) 1.786 (12% ↑) 1.476 (6% ↑) 1.476 (6% ↑) 1.476 (6% ↑) Restaurant 1 Frequency (Increase) 298 (30,47%) 476 (6% ↑) 786 (12% ↑) 146 (16% ↓) 146 (6% ↓) 786 (12% ↑) 476 (6% ↑) 476 (6% ↑) 786 (12% ↑) 476 (6% ↑) 476 (6% ↑) 476 (6% ↑) Restaurant 1 Permanence (Increase) 39 min 41 min (3%↓) 41 min (3%↓) 44 min (5% ↑) 44 min (5% ↑) 41 min (3%↓) 44 min (5% ↑) 41 min (3%↓) 41 min (03%↓) 41 min (03%↓) 44 min (5% ↑) 41 min (03%↓) Restaurant 2 Influx (Increase) 1.673 1.476 (6% ↑) 1.786 (12% ↑) 1.786 (12% ↑) 1.476 (6% ↑) 1.476 (6% ↑) 1.476 (6% ↑) 1.476 (6% ↑) 1.786 (12% ↑) 1.476 (6% ↑) 1.476 (6% ↑) 1.476 (6% ↑) Restaurant 2 Frequency (Increase) 369 (22%) 476 (6% ↑) 786 (12% ↑) 146 (16% ↓) 146 (6% ↓) 786 (12% ↑) 476 (6% ↑) 476 (6% ↑) 786 (12% ↑) 476 (6% ↑) 476 (6% ↑) 476 (6% ↑) Restaurant 2 Permanence (Increase) 32 min 41 min (3%↓) 41 min (3%↓) 44 min (5% ↑) 1.786 (12% ↑) 41 min (3%↓) 44 min (5% ↑) 41 min (3%↓) 44 min (5% ↑) 44 min (5% ↑) 41 min (3%↓) 44 min (5% ↑) Restaurant 3 Influx (Increase) 767 1.476 (6% ↑) 1.786 (12% ↑) 1.146 (16% ↓) 1.146 (6% ↓) 1.786 (12% ↑) 1.476 (6% ↑) 1.476 (6% ↑) 1.786 (12% ↑) 1.476 (6% ↑) 1.476 (6% ↑) 1.476 (6% ↑) Restaurant 3 Frequency (Increase) 245 (31,9%) 476 (6% ↑) 786 (12% ↑) 786 (12% ↑) 146 (6% ↓) 786 (12% ↑) 476 (6% ↑) 476 (6% ↑) 786 (12% ↑) 476 (6% ↑) 476 (6% ↑) 476 (6% ↑) Restaurant 3 Permanence (Increase) 41 min 41 min (3%↓) 41 min (3%↓) 44 min (5% ↑) 44 min (5% ↑) 41 min (3%↓) 44 min (5% ↑) 41 min (3%↓) 41 min (03%↓) 41 min (03%↓) 44 min (5% ↑) 41 min (03%↓) Restaurant 4 Influx (Increase) 1.067 1.476 (6% ↑) 1.786 (12% ↑) 1.146 (16% ↓) 1.786 (12% ↑) 1.786 (12% ↑) 1.476 (6% ↑) 1.476 (6% ↑) 1.786 (12% ↑) 1.476 (6% ↑) 1.476 (6% ↑) 1.476 (6% ↑) Restaurant 4 Frequency (Increase) 345 (35,2%) 476 (6% ↑) 786 (12% ↑) 146 (16% ↓) 476 (6% ↑) 786 (12% ↑) 476 (6% ↑) 476 (6% ↑) 786 (12% ↑) 476 (6% ↑) 476 (6% ↑) 476 (6% ↑) Restaurant 4 Permanence (Increase) 45 min 41 min (3%↓) 41 min (3%↓) 44 min (5% ↑) 44 min (5% ↑) 41 min (3%↓) 44 min (5% ↑) 41 min (3%↓) 41 min (03%↓) 41 min (03%↓) 44 min (5% ↑) 41 min (03%↓)
  • 9. 2# Customer satisfaction: Customer satisfaction surveys automation Real time information The customer satisfaction surveys by BeeCells works automatically to capture the value of service after the customer visit and monitors the evolution of the whle chain Adapted to any device BeeCells surveys is suitable for computers, tablets or phones, offering an unbeatable experience from your brand to customers Multiple types of question More than 15 questions and channeling arrangements offer you the best satisfaction survey, Net Promoter Score or custom market research
  • 10. 2# Customer satisfaction: Customer satisfaction surveys automation PoS Data January Febryary March Aprl May June July Agoust September October November December TOTAL Service (Incremento) 4,2 4,5 (16% ↑) 4 (6% ↓) 4,1 (19% ↑) 4,3 (8% ↑) 4 (6% ↓) 4,1 (19% ↑) 4,2 (19% ↑) 4 (6% ↓) 4,4 (19% ↑) 4,5 (19% ↑) 4,6 (19% ↑) TOTAL Cleaning (Incremento) 3,9 4 (6% ↑) 4,1 (12% ↑) 3,5 (16% ↓) 3,4 (6% ↓) 3,9 (12% ↑) 4 (6% ↑) 4 (6% ↑) 4 (12% ↑) 4 (6% ↑) 4 (6% ↑) 4 (6% ↑)TOTAL Quickly (Incremento) 3,5 3,5 (16% ↓) 4,1 (12% ↑) 3,5 (16% ↓) 3,4 (6% ↓) 3,9 (12% ↑) 4 (6% ↑) 3,4 (6% ↓) 4 (12% ↑) 4 (6% ↑) 3,4 (6% ↓) 4 (6% ↑) TOTAL NPS (Incremento) 7,8 7,9 (3%↓) 8,1 (6% ↑) 7,8 (3%↓) 8 (6% ↑) 8 (3%↓) 7,9 (2% ↑) 8,1 (3%↓) 7,8 (3%↓) 8 (6% ↑) 7,8 8,4 (6% ↑) Restaurant 1 Service (Incremento) 4,6 4,5 (16% ↑) 4 (6% ↓) 4,1 (19% ↑) 4,3 (8% ↑) 4 (6% ↓) 4,1 (19% ↑) 4,2 (19% ↑) 4 (6% ↓) 4,4 (19% ↑) 4,5 (19% ↑) 4,6 (19% ↑) Restaurant 1 Cleaning (Incremento) 4 4 (6% ↑) 4,1 (12% ↑) 3,5 (16% ↓) 3,4 (6% ↓) 3,9 (12% ↑) 4 (6% ↑) 4 (6% ↑) 4 (12% ↑) 4 (6% ↑) 4 (6% ↑) 4 (6% ↑)Restaurant 1 Quickly (Incremento) 3,8 3,5 (16% ↓) 4,1 (12% ↑) 3,5 (16% ↓) 3,4 (6% ↓) 3,9 (12% ↑) 4 (6% ↑) 3,4 (6% ↓) 4 (12% ↑) 4 (6% ↑) 3,4 (6% ↓) 4 (6% ↑) Restaurant 1 NPS (Incremento) 8 7,9 (3%↓) 8,1 (6% ↑) 7,8 (3%↓) 8 (6% ↑) 8 (3%↓) 7,9 (2% ↑) 8,1 (3%↓) 7,8 (3%↓) 8 (6% ↑) 7,8 8,4 (6% ↑) Restaurant 2 Service (Incremento) 4,6 4,5 (16% ↑) 4 (6% ↓) 4,1 (19% ↑) 4,3 (8% ↑) 4 (6% ↓) 4,1 (19% ↑) 4,2 (19% ↑) 4 (6% ↓) 4,4 (19% ↑) 4,5 (19% ↑) 4,6 (19% ↑) Restaurant 2 Cleaning (Incremento) 4 4 (6% ↑) 4,1 (12% ↑) 3,5 (16% ↓) 3,4 (6% ↓) 3,9 (12% ↑) 4 (6% ↑) 4 (6% ↑) 4 (12% ↑) 4 (6% ↑) 4 (6% ↑) 4 (6% ↑)Restaurant 2 Quickly (Incremento) 3,8 3,5 (16% ↓) 4,1 (12% ↑) 3,5 (16% ↓) 3,4 (6% ↓) 3,9 (12% ↑) 4 (6% ↑) 3,4 (6% ↓) 4 (12% ↑) 4 (6% ↑) 3,4 (6% ↓) 4 (6% ↑) Restaurant 2 NPS (Incremento) 8 7,9 (3%↓) 8,1 (6% ↑) 7,8 (3%↓) 8 (6% ↑) 8 (3%↓) 7,9 (2% ↑) 8,1 (3%↓) 7,8 (3%↓) 8 (6% ↑) 7,8 8,4 (6% ↑) Restaurant 3 Service (Incremento) 4,6 4,5 (16% ↑) 4 (6% ↓) 4,1 (19% ↑) 4,3 (8% ↑) 4 (6% ↓) 4,1 (19% ↑) 4,2 (19% ↑) 4 (6% ↓) 4,4 (19% ↑) 4,5 (19% ↑) 4,6 (19% ↑) Restaurant 3 Cleaning (Incremento) 4 4 (6% ↑) 4,1 (12% ↑) 3,5 (16% ↓) 3,4 (6% ↓) 3,9 (12% ↑) 4 (6% ↑) 4 (6% ↑) 4 (12% ↑) 4 (6% ↑) 4 (6% ↑) 4 (6% ↑)Restaurant 3 Quickly (Incremento) 3,8 3,5 (16% ↓) 4,1 (12% ↑) 3,5 (16% ↓) 3,4 (6% ↓) 3,9 (12% ↑) 4 (6% ↑) 3,4 (6% ↓) 4 (12% ↑) 4 (6% ↑) 3,4 (6% ↓) 4 (6% ↑) Restaurant 3 NPS (Incremento) 8 7,9 (3%↓) 8,1 (6% ↑) 7,8 (3%↓) 8 (6% ↑) 8 (3%↓) 7,9 (2% ↑) 8,1 (3%↓) 7,8 (3%↓) 8 (6% ↑) 7,8 8,4 (6% ↑)
  • 11. GESTIÓN 3# Direct Marketing: Email marketing campaigns automation #1 Personal Welcome (Personalization from the first email) #2 Promotion to new users (targeting frequency of visits) #3 Improving recurrence in regular customers (targeting frequency of visits) #4 Birthday compliment (Targeting age and birth date)) 5# Promotion to men/ woman (segmentation by gender) 6# Promotion to young/ adults ((segmentation by age)
  • 12. 3# Direct Marketing: Email marketing campaigns automation
  • 13. How does it work Multiple locations Manage your entire network from one centralized dashboard and keep control of your database Simple installation The Beecell connects to your router without any additional installation and in less than one minute your new channel is active Secure network BeeCells create a Wi-Fi network specifically for your customers and keep your private network to keep working safely
  • 14. Mesure your results Your dedicated Account Manager is responsible for implementing your customer digitization so you can focus on your commercial strategy
  • 15. Nic Olivé Chairman For 10 years he was the head of the distribution chain Mango with 8,500 employees and 2,500 stores under its responsibility. He directed the areas of visual merchandising, window dressing, store management, distribution, interior design, purchasing supplies and information systems. David Gracia General Manager David has developed his career as Director of Innovation at Catalunya Caixa and has worked at Johnson & Johnson as Trade Marketing Manager. He specializes in payment, product innovation, distribution, new sales channels and loyalty programs. Oriol Martínez WIFI Manager Bachelors and Masters in Business Administration from ESADE Business School and the Indian Institute of Management Ahmedabad. He has developed consulting projects for companies in the Food & Beverage industry and has worked in Leroy Merlin, managing teams, implementing trade and listening to customers. Stanis Zamora Key account manager Degree in Business. Specializing in corporate banking with nine years of experience in the sector Catalunya Caixa. Currently holds the position of Business Developer at Please, identifying and developing new business lines. Jordi Garreta DIGITAL Manager Degree in Advertising and Public Relations + a masters in digital communication by Roehampton University in London, he was Director of Digital Media of WeberShandwick (McCann Group). Specialist in new technologies, social media and creating online communities. Didac Arnau Key account manager Degree in Philosophy from the UAB graduate and in Financial Consulting from Barcelona Business School of Management. Has 8 years of banking experience in which he has been office manager and corporate culture ambassador Catalunya Caixa (CX). Christina Baptista Retail Operations Manager He studied International Trade in France. Retail specialist with 12 years experience in Mango as an integral manager of store operations, Area Manager Italy and Paris. He has worked on projects for HP, Gallina Blanca and Prosegur to Italy, France, Portugal and Brazil. Lluis Zabala TICKETS Manager He has directed a startup focused on retail, with whom he won a European award for the most complete solution for dynamic urban retail. He has also collaborated in the implementation of technology solutions for retail chains nationwide. He has worked on projects with Desigual, Mango, Camper or Decathlon. Specialists in retail and innovation
  • 17. EsadeCreapolis Avda. TorreBlanca, 57 2C16 Sant Cugat del Vallés (Barcelona) hello@please.to +34 93 554 30 29