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1 | Excelling in CEM using Analytics – Can Hurcan – Lap Green Networks
Excelling in Customer Experience Management using Analytics
Can Hurcan
Group Marketing Director
Lap Green Networks
Cape Town, Africa Com
November, 2013
2 | Excelling in CEM using Analytics – Can Hurcan – Lap Green Networks
Lap Green Networks is a subsidiary of Libya Africa Investment Portfolio (LAP), providing telecommunication services actively in 3 African countries and launching its 4th operation in 2014
INTRODUCING LAP GREEN NETWORKS
Presence in Africa Operation details
Uganda Telecom (UTL) – UGANDA
• Mobile, Fixed and ISP services
• ~800k subs
Gemtel – SOUTH SUDAN
• Mobile services
• ~400k subs
GreenN – IVORY COAST
• Mobile services
• ~400k subs
GreenN – SIERRA LEONE
• Mobile services to be launched in 2014
3 | Excelling in CEM using Analytics – Can Hurcan – Lap Green Networks
1. How does Customer Analytics relate to Customer Experience?
2. What information is still untapped on Customers Experience?
3. How should operators use this information to excel in CEM?
4. Q&A session
AGENDA
4 | Excelling in CEM using Analytics – Can Hurcan – Lap Green Networks
With the recent focus in customer experience, operators have started to build CEM units based on the customer life cycle and customer-operator touch points
CUSTOMER EXPERIENCE MANAGEMENT OVERVIEW
Prepaid add-ons
Alternative channels
1. Getting to know
2. Buying
3. Activating
4. Using
5. Paying
6. Contacting
7. Leaving
Customer life-cycle
Touch points
Retention
Win back / Loyalty
Churn
Voice
Broadband
Messaging
VAS
Roaming
Above the line
Branding
Value proposition perception
Welcome packs
Store channel
Direct sales
Broadband
Postpaid
Prepaid
Prepaid reloads
Balance enquiries
Postpaid billing
Contact Centre prepaid
Contact Centre postpaid
Store
Contact Centre
Broadband
Handset repair
Correspondence
1.1
1.2
1.3
1.4
2.1
2.2
3.1
3.2
3.3
5.1
5.2
5.3
4.1
4.2
4.3
4.4
4.5
Contact Centre access
6.1
6.2
6.3
6.4
6.5
7.1
7.2
7.3
Bill payment & collection
5.4
6.6
6.8
6.7 5.5
5 | Excelling in CEM using Analytics – Can Hurcan – Lap Green Networks
Likewise, lately, operators have started to shift from aggregate level reporting to detailed analyses, driven by Customer Analytics
CUSTOMER ANALYTICS OVERVIEW
Total Revenue
Trend analysis
Gross adds Active base Inactive base Churners
Payments and credit collection
One-time, recurring, usage fees
ARPU
Gross Adds analysis
Active base analysis
Churners analysis
Inactive base
analysis
Customer base overview
1
2 3 4 5
Consumer payment behavior analysis
7
Usage analysis
6
6 | Excelling in CEM using Analytics – Can Hurcan – Lap Green Networks
Based on different data resources, Customer Analytics generate relevant insights for CEM units to come up with actions to improve operator’s performance at various customer touch points
HOW DOES CUSTOMER ANALYTICS SUPPORT CUSTOMER EXPERIENCE MANAGEMENT?
Under-standing
of the issue
Defining the action
(micro-segments customer
or location)
Delivery and
impact measure-
ment
CS systems IN
Billing systems
Network Sales
GIS
Customer data
Localized OpCo performance
SMS
USSD
IVR
Outbound
e
Billboards
Sales teams
Promos
Network
Increasing churn
Low Broadband adoption
Improved Churn
Increased Broadband adoption
PRICE
P&S
DEVICE NW
S&D
CS
COMM
On-the-ground
BTL Broadcasting
7 | Excelling in CEM using Analytics – Can Hurcan – Lap Green Networks
1. How do Customer Experience and Analytics relate to each other?
2. What information is still untapped on Customers Experience?
3. How should operators use this information to excel in CEM?
4. Q&A session
AGENDA
8 | Excelling in CEM using Analytics – Can Hurcan – Lap Green Networks
Historically, operators were using aggregate level Customer Care inputs as well as external Brand Health Checks to understand customers’ satisfaction with the services provided
“TRADITIONAL” INPUTS FOR CEM UNITS
Customer Care insights Brand Health Checks
• Until recently, operators have been looking at Customer Care reports (Call Center inbound and outbound calls, Service Center, Self-care Portals stats) to track Customer Experience
• External surveys have also been a good tool for operators to compare themselves against their competition, reflecting customers perception of the operators in the market from different angles
1 2
9 | Excelling in CEM using Analytics – Can Hurcan – Lap Green Networks
However, recently, operators are starting to cross new sets of information mainly from Network, Customer Care and Sales with Customer Analytics to generate valuable Customer Experience insights
“UNTAPPED” INFORMATION FOR CEM UNITS
Untapped information categories
Customer Care Sales Network
• Network performance details are available at a subscriber level for each transaction (e.g. drop call per MSISDN) and therefore can be crossed by other commercial information such as:
- Value segments
- Regional comparison
- Churners
- Handset types
- Etc.
• Each interaction of the customer with the operator is available for Customer Analytics teams to drive conclusions on:
- What are the key areas of concerns for High value customers?
- Which complaint plays the key role in customers deciding to churn?
- What do the Gross adds from different value segments that have churned from competition say about the competitors?
• Acquisition and using related transactions happening in channels can be used to understand customer perception:
- Recharge behaviour over period of time reveals channel-related issues (e.g. stock-outs)
A B C
Customer Analytics
10 | Excelling in CEM using Analytics – Can Hurcan – Lap Green Networks
1. How do Customer Experience and Analytics relate to each other?
2. What information is still untapped on Customers Experience?
3. How should operators use this information to excel in CEM?
4. Q&A session
AGENDA
11 | Excelling in CEM using Analytics – Can Hurcan – Lap Green Networks
As more information is processed from a customer-centric approach by one single unit, operators get comprehensive understanding of Customer Experience and can come up with right resolutions
ANALYTICS LED CEM UNITS
Multi-SIM
Drops intl’
Churn increase
High Value
Mid Value
Low Value
Above SLAs
Meets SLAs
Below SLAs
Demographics layer
Network performance
Sales & Distribution
Customer distribution
Usage evolution
Customer behaviour
OpCo performance
Market demand
Branded POS
Franchised
Other
Decrease in Market Share
Stable Market Share
Increase in Marker Share
Layers of information Sample data Conclusion
Resulting to decrease in
High Value customer
concentrated cities
Distribution do not
represent any issues as
sales presence is strong in
those areas
…however after looking at
Network performance,
sites in those regions
appear as
underperforming
High value customers
have increased multi-SIM
adoption and increased
churn levels in certain
areas…
12 | Excelling in CEM using Analytics – Can Hurcan – Lap Green Networks
1. How do Customer Experience and Analytics relate to each other?
2. What information is still untapped on Customers Experience?
3. How should operators use this information to excel in CEM?
4. Q&A session
AGENDA