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KPI Analysis and Techniques 

  • Offered bySimplilearn
  • Private Institute
  • Estd. 2010

KPI Analysis and Techniques
 at 
Simplilearn 
Overview

Gain a comprehensive overview of the KPI Analysis principles and concepts

Duration

2 hours

Mode of learning

Online

Difficulty level

Intermediate

Credential

Certificate

Future job roles

Agile scrum, Corporate Communications, Corporate Governance

KPI Analysis and Techniques
 at 
Simplilearn 
Highlights

  • Earn a certificate of completion from Simplilearn
Details Icon

KPI Analysis and Techniques
 at 
Simplilearn 
Course details

Who should do this course?
  • Web Analytics Implementers
  • Web Analytics Data Reporters
  • Digital Analysts
  • Graduates
More about this course
  • This KPI Analysis and Techniques online course give you a refined understanding of metrics and advanced analytic strategies
  • It enables participants to dive deep into specific pools of data and do thorough research, to decide how best to create and define KPIs that help specific business units

KPI Analysis and Techniques
 at 
Simplilearn 
Curriculum

Key Performance Indicators Simplified Part 1

Overview

Introduction

What is a KPI?

Uncomplex

Relevant

Timely

Instantly Useful

Examples

Conversion Rate

Avg Order Value

Days to Purchase

Loyalty and Recency

Share of Search

Key Performance Indicators Simplified Part 2

Overview

Introduction

Identifying KPIs

Presenting KPIs

Four Lessons

Different Strokes

Perfection

Critical Few

Lifecycle

Finding the Right KPIs for Your Business Type

Overview

Introduction

Goals for Small Business

Three Crucially Important Metrics

Cost Per Acquisition

Bounce Rate

Macro Conversion Rate

Goals for Medium Sized Business

Click Through Rate

Page Depth

Loyalty

Micro Conversion Rate

Per Visit Goal Value

Goals for Large Business

Percent of New Visits

Events Per Visit

Days to Conversion

Percent of Assisted Conversions

Review Best Web Metrics, Digital Marketing and Measurement Model

Understanding KPIs Through Email Marketing Analytics

Overview

Introduction

E mail Matters

Measurement Challenges

Categories of Data

Optimal Metrics The Dirty Dozen

Delivery Rate

Open Rate

Subscriber Retention Rate

Click to Delivery Rate

Bounce Rate

Depth of Visit

Actions Completed

Macro Conversion Rate

Average Revenue Per E mail Sent

Micro Conversion Rate

Average Economic Value Per E mail

Profitability

The Critical Few

Conclusion

Lessons

Article Your Web Metrics Super Lame or Super Awesome?

Article Kill Useless Web Metrics Apply The Three Layers Of So What Test

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KPI Analysis and Techniques
 at 
Simplilearn 

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