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You have searched for leaplines with the keywords: Response data integrated into customer files Create a new search... See document results...
LeapThought has found 202 LeapLines
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LeapLine |
Trend, Type, Function, Action | |
 |
Response data integrated into customer files |
direct response,
data analysis techniques,
internet,
z - no action
|
 |
Reconciling customer-base records with response data |
direct response,
data analysis techniques,
data analytics,
reconcile
|
 |
Measure response and interpret into implications of customer behavior and activity |
profiling,
customer research,
data analytics,
measure
|
 |
Core data capture and usage strategy (i.e., response tracking and learning recommendations) |
direct response,
recommendations,
data analytics,
z - no action
|
 |
Capture and reconcile data |
direct response,
data analysis techniques,
data analytics,
capture
|
 |
A basic 'counts and amounts' customer base report based on 5-10 key customer-facing dimensions over one specific timeframe. |
data analytics,
data report elements,
data analytics,
z - no action
|
 |
Analyze existing Company customer base and data |
CRM,
customer research,
data analytics,
analyze
|
 |
Response channels planned and activated |
direct response,
organizational component,
marketing operations,
z - no action
|
 |
Cross-tab tables and graphs for each meaningful combination of the key customer-facing dimensions |
data analytics,
data report elements,
data analytics,
z - no action
|
 |
Rendering reports, tables, cross-tabs and graphs of response findings |
data analytics,
deliverable description,
graphics,
render
|
 |
Modify programs based on response and learnings |
direct response,
improvement activities,
HR,
modify
|
|
|
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Enable response channels |
direct response,
marketing execution activities,
sales,
enable
|
 |
Holistic', integrated view of wealth and finances |
CRM,
service characteristic,
finance,
z - no action
|
 |
Direct response driven by mass media |
direct response,
activities,
direct marketing,
z - no action
|
 |
Profile company’s current customer base |
profiling,
customer research,
data analytics,
profile
|
 |
Flat file with customer ID and a score indicating propensity to churn. Score will be an n-tile (e.g., 1-20) with the granularity of the range dependant on the level of detail and confidence in the model. |
database marketing,
data deliverable,
data analytics,
z - no action
|
 |
Integrated interactions across media and channels |
channels,
communication activities,
service,
z - no action
|
 |
Gather and assimilate customer data |
database marketing,
customer research,
research,
gather
|
 |
Move our User management systems closer to an 'out-of-the-box' implementation that is more likely to be easily adaptable to typical software packages that might be integrated later |
change management,
technology development activities,
IT,
move
|
 |
Ongoing updates for extraction, transformation and load for updated data |
data analytics,
data analysis techniques,
data analytics,
z - no action
|
 |
A data quality report that outlines the usability and accuracy of the data. |
data analytics,
deliverable description,
data analytics,
z - no action
|
|
|
 |
Archive and store data and models |
data mining,
data analysis techniques,
data analytics,
archive
|
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Counts and-or indications of null or incomplete records |
data mining,
data report elements,
data analytics,
z - no action
|
 |
Return data and data transfer materials |
data analytics,
data analysis techniques,
data analytics,
return
|
 |
Customer modeling and segmentation |
segmentation,
activities,
data analytics,
z - no action
|
 |
Develop program reconciliation-customer redemption model |
CRM,
CRM planning activities,
data analytics,
develop
|
 |
Measure results of models and scoring in the customer arena |
modeling,
improvement activities,
Data analysis,
measure
|
 |
Train and develop attrition models |
customer loyaltyj,
marketing execution activities,
data analytics,
train
|
 |
Basic frequency distributions and calculations, showing means, skews, spikes, exceptions and standard deviations |
data mining,
data report elements,
data analytics,
z - no action
|
 |
Tables and graphs showing counts and percentages of customers for each dimension |
data analytics,
data report elements,
data analytics,
z - no action
|
 |
Recommendations on how to focus remainder of data mining project effort |
data mining,
deliverable description,
data analytics,
z - no action
|
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Repeatedly train model until confidence level is acceptable |
data mining,
data analysis techniques,
data analytics,
train
|
 |
Transform data analytic findings into tactical marketing actions |
data analytics,
project activities,
data analysis,
transform
|
 |
Set standards and practices for delivering data analysis content and results |
data analytics,
process development,
data analysis,
set
|
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Outline components of data mining deliverables |
data analytics,
project activities,
data analysis,
outline
|
 |
Data management and analytics |
data analytics,
data analysis techniques,
data analytics,
z - no action
|
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Finding meaningful dimensions |
data analytics,
data analysis techniques,
data analytics,
find
|
 |
Recommended next data analytic steps |
data analytics,
recommendations,
data analytics,
z - no action
|
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Highly valued data on agents, agent preferences and experiences, and extremely valuable proprietary aggregated data on client preferences and experiences |
CRM,
organizational component,
data analytics,
z - no action
|
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Deliver data criteria (model) to company marketing operations |
data mining,
marketing execution activities,
data analytics,
deliver
|
 |
Data mining |
data mining,
business trend,
data analytics,
z - no action
|
 |
Articulate the key tasks data mining strives to achieve |
data mining,
development activities,
data analysis,
articulate
|
 |
Marketing data analysis and data mining |
data mining,
campaign element,
direct marketing,
z - no action
|
 |
Explain which tools are appropriate for which types of data analysis |
data analytics,
development activities,
data analysis,
explain
|
 |
Scored list of customers |
segmentation,
data deliverable,
data analytics,
z - no action
|
 |
Data model |
z - no trend,
document type or element,
data analytics,
z - no action
|
 |
Data collection practices |
data warehousing,
system processes,
IT,
z - no action
|
 |
Direct media |
direct response,
communication channels,
marketing operations,
z - no action
|
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Response channel activation |
campaign management,
campaign element,
direct marketing,
z - no action
|
 |
Perform directed data analysis |
data analytics,
data analysis techniques,
data analytics,
perform
|
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Results from the LeapThought © Document Database: Response data integrated into customer files LeapThought has found 171 files.
| Dimensions of categorizing and applying knowledge- 1 Powerpoint slide |
 |
This slide shows different dimensions (or categories) of information, generally in terms of how you would ‘meta-tag’ information in a database or knowledge management system.
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| Components of the customer acquisition marketing system- 1 Powerpoint slide |
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This graphic list shows, almost exhaustively, components of a customer acquisition marketing system (i.e., an acquisition marketing campaign.)
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| Achieving response lift from marketing data analytics- 1 Powerpoint page |
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This graph illustrates how marketers can optimize their marketing dollars by achieving a ‘lift’ from data analytics, allowing them to reduce their marketing dollars while increasing their response rate.
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| Consulting team model - Integrated teams across disciplines and delivery phases- 1 PowerPoint slide |
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This diagram shows how different web or technology roles work together (here shown in orbit like planets or atomic particles). The orbit “delivery management”, which could also be “project management”.
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| Establishing CRM priorities- 1 PowerPoint Slide |
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This classic Harvey ball chart shows the progress of different CRM initiatives against three different business units. It is used here to establish CRM priorities.
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| The marketing process- 1 Powerpoint page |
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This process slide shows a general marketing campaign process where response rates are tracked.
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| E-mail campaign best practices- 4 Powerpoint slides |
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This three page document describes different best practices in using e-mail for marketing.
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| Uses of marketing databases- 1 Powerpoint slide |
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This detailed list shows six typical (best practice?) uses for a marketing database. Of these, three are analytical: customer analysis, decision support, and performance measurement. Three are operational: list management, campaign...
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| Client Acquisition Service Delivery Method - Web-Based Acquisition- One 11x17 Powerpoint slide |
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This large-format chart shows a detailed method for acquiring new customers through marketing. It is limited to electronic channels.
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| Integrated marketing system- 2 Powerpoint slides |
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This complicated learning map shows a marketing/customer acquisition program in full.
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| Data Management is central to Marketing Operations- 1 Powerpoint slide |
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This slide provides an illustration of how data sources can be managed and analyzed to benefit marketing operations. This illustration compares the process to a funnel, with raw data entering the system and applied data exiting as useful marketing to
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| Customer information teaches companies how to provide the right experiences- 1 Powerpoint slide |
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This combination list/map/case shows many different types of customer data and how they can be used for management decisions as well as transactional or customer-based decisions.
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| Marketing launch deliverable-based timeline- 3 Powerpoint slides |
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This very detailed Gantt-style chart shows 11 phases of an integrated marketing and product launch (including sales and distribution considerations). Besides a detailed week-by-week account...
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| Benefits of an integrated planning discipline- 1 PowerPoint slide |
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This graphic shows a basic, 3-step marketing-centric, integrated planning cycle and many benefits it brings because the planning is being completed by an integrated team.
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| Understand customer behavior: Finding answers using historic data- 1 Powerpoint slide |
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This is a top-level process flow diagram that shows how to conduct market data analysis by ‘training’ a data model.
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