Social CRM - PowerPoint PPT Presentation

About This Presentation
Title:

Social CRM

Description:

Title: Aucun titre de diapositive Author: Michel Bruley Last modified by: Bruley, Michel Created Date: 12/16/1996 2:56:56 PM Document presentation format – PowerPoint PPT presentation

Number of Views:75
Avg rating:3.0/5.0
Slides: 23
Provided by: MichelB170
Category:
Tags: crm | oracle | self | service | social

less

Transcript and Presenter's Notes

Title: Social CRM


1
Social CRM
  • michel.bruley_at_teradata.com

Extract from various presentations Altimeter,
Forrester, Teradata Aster,
December 2012
2
What is Social CRM?
CRM was about managing the customer Social CRM
is about engaging with the customer Social CRM
is a business strategy designed to engage the
customer in a collaborative conversation in order
to provide mutually beneficial value in a trusted
transparent business environment. It's the
company's response to the customer's ownership of
the conversation.
3
SCRM in six questions
4
What are your targets?
  • Anyone who takes an interest in your organization
    should be considered as a target
  • Follower
  • Facebook Page Member
  • Reads your blog
  • Signs up for Newsletter
  • Supporter
  • Donor
  • Volunteer
  • Advocate
  • Event Goer
  • Organizer
  • More involved
  • Plans meet-ups / events
  • Leader
  • Cream of the crop
  • May actually become a part of the organization

5
Targets Pyramid
6
Advocacy the Social Customer
  • Advocates are created through continuous
  • Engagement (conversation)
  • Transparency (visibility)
  • Authenticity (honesty, straightforward behavior)
  • Approach to Advocacy - Strategy
  • Value Proposition Creation of experiences and
    tools with products and services designed to
    appeal to a commonwealth of interest based on
    unique insights
  • Customer Strategy Outreach to customers/potential
    advocates, Property development for customers
    communities, tools, products, services available
    via company, Godin Date your customers
  • Continuous Effort Ongoing feedback, outreach,
    data tracking, program development, Constant
    desire for customer insight not just data
    collection
  • The metrics of advocacy - Net Promoter Score
    Referrals as metrics
  • The one question that you need to ask your
    customer is Would you recommend my company to
    someone you know?
  • Measured against the detractors to come up with
    score, Word of Mouth most influential, Customer
    Lifetime Value (CLV), Customer Referral Value
    (CRV), Customer Brand Value (CBV)

7
Engage Across Multiple Functions
8
Consumer Social Web Tools
9
What Is Your Content Strategy?
  • Twitter, Facebook, Blogs all tactical ways to
    spread the word
  • All too often people focus on the method of
    delivery and not the content!

10
SCRM Touch-point Management
Customer Analytics Population targeting
segmentation analysis
Outbound-initiated Marketing(via asynchronous
channels)
Inbound-initiated Marketing (via Synchronous
channels)
Inbound Interaction Management Deploy
event-driven, 11, best-next-action
recommendations at the point of interaction
during the interaction
Marketing Campaign Management Convert outbound
campaigns into 11, event-driven, connected
customer conversations over time
Real-time
Just-in-time
Mail
Email
SMS
Web 2.0
Call Ctr
Branch
IVR
ATM
Web SlfSvc
Goal is to create a customer engagement
You ARE engaged
11
Customer Behavior Analysis
BI Tools
Database Tools
Monitoring Tools
EMAIL CORRESPOND-ENCE DATA
ONLINE BANKING DATA
STORE VISION PLATFORM DATA
CALL CENTER DATA
BRANCH TELLER DATA
CUSTOMER PROFILE DATA
CUSTOMER SURVEY DATA
12
Aster MapReduce Analytics Portfolio
PATH ANALYSIS Discover Patterns in Rows of
Sequential Data
TEXT ANALYSIS Derive Patterns and Extract
Features in Textual Data
STATISTICAL ANALYSIS High-Performance Processing
of Common Statistical Calculations
SEGMENTATION Discover Natural Groupings of Data
Points
MARKETING ANALYTICS Analyze Customer Interactions
to Optimize Marketing Decisions
DATA TRANSFORMATION Transform Data for More
Advanced Analysis
13
Big Data Social Analysis See the Network
  • Understand connections among users and
    organizations

Examples
  • Challenges
  • Large number of entities with rapidly growing
    amount of data for each
  • Connectivity changing constantly
  • Aster Data Value
  • SQL-MapReduce function for Graph Analysis eases
    and accelerates analysis
  • Ability to store and analyze massive volumes of
    data about users and connections
  • High loading throughput and incremental loading
    to bring new data into analysis
  • Link analysis predicting connections (among
    people, products, etc.) that are likely to be of
    interest by looking at known connections
  • Influence analysis identifying clusters and
    influencers in social networks

14
Aster Data Capabilities for Text Data
  • Pre-built SQL-MapReduce functions for text
    processing

Custom and Packaged Analytics
  • Data transformation utilities
  • Pack compress multi-column data into a single
    column
  • Unpack extract nested data for further analysis
  • Web log analysis
  • Sessionization identify unique browsing
    sessions in clickstream data
  • Text analysis
  • Text parser general tool for tokenizing,
    stemming, and counting text data
  • nGram split text into component parts (words
    phrases)
  • Levenstein distance compute distance between
    words

Aster Data nCluster
App
App
App
App
App
App
Aster Data Analytic Foundation
15
Building Visitor Paths from Clickstream Data
  • nPath Time Series Analysis identifies customer
    transitions between departments

Clickstream Data Clickstream Data Clickstream Data
hit_time_gmt visid prop1
2012-03-06 204207 138 Bedding Bath
2012-03-06 204303 138 Bedding Bath
2012-03-06 204655 138 Sports Toys
2012-03-06 204732 138 Bedding Bath
2012-03-06 204753 138 Bedding Bath
2012-03-06 204842 138 Bedding Bath
2012-03-06 205204 138 Home Garden
2012-03-06 205732 138 Home Garden
nPath Function
nPath Results
prop1 visid hit_time_gmt
Bedding Bath, Sports Toys 138 2012-03-06 204207
Sports Toys, Bedding Bath 138 2012-03-06 204655
Bedding Bath, Home Garden 138 2012-03-06 204732
Teradata Aster nPath Analysis Discover Patterns
in Rows of Sequential Data
16
What were Shoppers Searching for?
Find serious shoppers who browse 5 products
in a session.
After browsing, they perform 2 fruitless
searches, within 10 pages of each other.
Within 5 pages of the last fruitless search, they
abandon the site, perhaps frustrated.
Comparison of Fruitless Searches by Serious
Shoppers
  • Slope trend down indicating Serious Shoppers
    outside the norm
  • Likely to search for higher priced items

17
Marketing Strategy for Success
  • Where should I increase my Marketing Spend to
    drive higher ROI?

Multi-Touch Attribution
  • Go beyond last click and identify which ads and
    channels perform the best
  • Quantify which ads lead (attribute) to conversion
  • Calculate true ROI on a per ad basis
  • Run time-sensitive promotions by knowing which
    ads convert the fastest.

Customer Journey Leading to Purchase on Online
Store
18
SCRM Traditional Data
19
SCRM New Data
20
SCRM Analytics
21
SCRM Traditional Analytics Tools
22
SCRM Analytics, Insight, and Intelligence
Social Media Analytics Analyze conversation
data, Identify advocates of, and threats to,
corporate reputation and brand, Quantify
interaction among traditional media/campaigns and
social media activity, Establish a platform for
social CRM strategy
  • Enrich traditional approaches
  • Customer Profiling
  • Value Segmentation
  • Behavioral Segmentation
  • Propensity Modeling
  • Clustering
  • Basket Analysis
  • Risk Churn Modeling
  • Response Modeling
  • Recommendation Engines
  • (Next Best Offer)
Write a Comment
User Comments (0)
About PowerShow.com