SlideShare a Scribd company logo
1 of 24
Download to read offline
METRICS AND KPI’S
• Measures, Metrics and KPIs
– What makes sense to be measured?
• Pirate Metrics as a first Model
• Traction Channels and the Pirate Metrics
• KPIs
Agenda
MEASURES, METRICS AND KPI’S
Measures
Anything that is measured, e.g. number of
customers, total revenue, etc.
There is nothing inherently good or bad with a
measure so it is not helping you to figure out if you
are doing good.
Metric
A value typically derived by a combination of
two or more measures, e.g. total revenue over
time, development of unique visitors etc.
Metrics do provide you with an information if the
values are good or bad.
KPI
”The most important performance information
that enables organizations or their stakeholders
to understand whether the organization is on
track or not.”
”Something you are willing to pay a significant
amount of money to increase it.”
METRICS- WHAT MAKES SENSE?
What makes sense to be measured?
• Values that help you to understand you business,
your customers behaviour and your current
strengths and weaknesses
• Values that help you to improve your business
• Values that let you compare behaviour over time
HOW TO MEASURE?
Pirate Metrics ( to get started)
Acquisition
Acquisition is the first contact point with a
customer and your product or website.
Examples:
• Duel: Downloaded the App and registered
• Germinal: Came to the website and registered for the
newsletter
Activation
Activation is the stage where people actually use
your product.
Examples:
• Fullfekr: reading the Q&A, starting a free chat
• Lynxir/Easypaz: Item placed to the Shopping cart/
first order
Retention
Getting (first time) users back!
Examples:
• Datashahr: Writing two reviews/ searching two times
via the platform for a second time within x days
• Easypaz: Second Order
Referral
Getting users into the referral stages means they not only
like your product, but they think that their contacts and
friends could also benefit from that value.
Examples:
Germinal: Recommend your product to their friends
Hotspotplus: Forward Advertisement to their friends
Revenue
Getting paid!
Examples:
Easypaz: Customer Lifetime value/ % of users that buy
NazarBazaar: Average revenue per campaign
Duel: Average number of Sales per partner
Example
Limits of the Pirate Metrics
• Great to measure the onboarding process but
not so good in measuring what happens after!
• Originally focussed on SaaS services
• Primarily measuring simple numbers
IMPLEMENTING TRACTION CHANNELS
Traction Channels and Pirate Metrics
You don’t only want to know what happens with
users once they are acquired but where they
come from
Traction Channels and Pirate Metrics
Metrics to measure:
• Cost per Acquisition
• What is the % for each acquisition channel
• How do those users behave while going through the
funnel
– How many from each channel use the service once?
– How many per channel are coming back?
– How many invite friends?
• CLV for each Traction Channel
KPI’S
KPI’s
Where are you willing to pay a significant
amount of money to increase the value?
HOMEWORK
Homework
• Discuss and define your initial number of
Metrics
• Define a first version of your KPIs
• Create a google spreadsheet to measure them
weekly and share it with Sara
• Insert the first set of numbers

More Related Content

What's hot

Balanced scorecard ppt slides
Balanced scorecard ppt slidesBalanced scorecard ppt slides
Balanced scorecard ppt slidesYodhia Antariksa
 
Data Visualization and Dashboard Design
Data Visualization and Dashboard DesignData Visualization and Dashboard Design
Data Visualization and Dashboard DesignJacques Warren
 
Data Governance in a big data era
Data Governance in a big data eraData Governance in a big data era
Data Governance in a big data eraPieter De Leenheer
 
White Paper - Data Warehouse Documentation Roadmap
White Paper -  Data Warehouse Documentation RoadmapWhite Paper -  Data Warehouse Documentation Roadmap
White Paper - Data Warehouse Documentation RoadmapDavid Walker
 
Importance of Data Analytics
 Importance of Data Analytics Importance of Data Analytics
Importance of Data AnalyticsProduct School
 
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
 
Introduction to data pre-processing and cleaning
Introduction to data pre-processing and cleaning Introduction to data pre-processing and cleaning
Introduction to data pre-processing and cleaning Matteo Manca
 
Impact of data science on Finance
Impact of data science on FinanceImpact of data science on Finance
Impact of data science on FinanceTyrone Systems
 
Project Stakeholder Engagement
Project Stakeholder EngagementProject Stakeholder Engagement
Project Stakeholder EngagementMark Ritchie
 
Data Quality Success Stories
Data Quality Success StoriesData Quality Success Stories
Data Quality Success StoriesDATAVERSITY
 
Strategic Thinking, Vision and Leadership
Strategic Thinking, Vision and LeadershipStrategic Thinking, Vision and Leadership
Strategic Thinking, Vision and LeadershipDr. John Persico
 
Fundamentals of Project Management
Fundamentals of Project ManagementFundamentals of Project Management
Fundamentals of Project ManagementRodolfo Siles
 
Introduction to data science
Introduction to data scienceIntroduction to data science
Introduction to data scienceMahir Haque
 
Introduction To KPIs
Introduction To KPIsIntroduction To KPIs
Introduction To KPIsAlastairs1
 

What's hot (20)

Balanced scorecard ppt slides
Balanced scorecard ppt slidesBalanced scorecard ppt slides
Balanced scorecard ppt slides
 
Data Visualization and Dashboard Design
Data Visualization and Dashboard DesignData Visualization and Dashboard Design
Data Visualization and Dashboard Design
 
Data Governance in a big data era
Data Governance in a big data eraData Governance in a big data era
Data Governance in a big data era
 
White Paper - Data Warehouse Documentation Roadmap
White Paper -  Data Warehouse Documentation RoadmapWhite Paper -  Data Warehouse Documentation Roadmap
White Paper - Data Warehouse Documentation Roadmap
 
Importance of Data Analytics
 Importance of Data Analytics Importance of Data Analytics
Importance of Data Analytics
 
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...
 
BA Techniques BABOK
BA Techniques BABOKBA Techniques BABOK
BA Techniques BABOK
 
PMI Professional in Business Analyisis (PMI-PBA) Certification
PMI Professional in Business Analyisis (PMI-PBA) Certification PMI Professional in Business Analyisis (PMI-PBA) Certification
PMI Professional in Business Analyisis (PMI-PBA) Certification
 
Introduction to data pre-processing and cleaning
Introduction to data pre-processing and cleaning Introduction to data pre-processing and cleaning
Introduction to data pre-processing and cleaning
 
Impact of data science on Finance
Impact of data science on FinanceImpact of data science on Finance
Impact of data science on Finance
 
Project Stakeholder Engagement
Project Stakeholder EngagementProject Stakeholder Engagement
Project Stakeholder Engagement
 
Data Quality Success Stories
Data Quality Success StoriesData Quality Success Stories
Data Quality Success Stories
 
Business Process Management Approach
Business Process Management Approach  Business Process Management Approach
Business Process Management Approach
 
Strategic Thinking, Vision and Leadership
Strategic Thinking, Vision and LeadershipStrategic Thinking, Vision and Leadership
Strategic Thinking, Vision and Leadership
 
Fundamentals of Project Management
Fundamentals of Project ManagementFundamentals of Project Management
Fundamentals of Project Management
 
Business Intelligence Presentation
Business Intelligence PresentationBusiness Intelligence Presentation
Business Intelligence Presentation
 
KPI Course slides
KPI Course slidesKPI Course slides
KPI Course slides
 
Vision, Mission & Values
Vision, Mission & ValuesVision, Mission & Values
Vision, Mission & Values
 
Introduction to data science
Introduction to data scienceIntroduction to data science
Introduction to data science
 
Introduction To KPIs
Introduction To KPIsIntroduction To KPIs
Introduction To KPIs
 

Viewers also liked

Market size - Avatech Accelerator
Market size - Avatech AcceleratorMarket size - Avatech Accelerator
Market size - Avatech AcceleratorAvatech Accelerator
 
Workshop mvp general
Workshop mvp generalWorkshop mvp general
Workshop mvp generalSara Usinger
 
Mohsen Malayeri - Avatech Kick Off Event - Cycle #1 - October 2014
Mohsen Malayeri - Avatech Kick Off Event - Cycle #1 - October 2014Mohsen Malayeri - Avatech Kick Off Event - Cycle #1 - October 2014
Mohsen Malayeri - Avatech Kick Off Event - Cycle #1 - October 2014Avatech Accelerator
 
Workshop lean startup
Workshop lean startupWorkshop lean startup
Workshop lean startupSara Usinger
 
Why meaning matters - Outcomes, Benefits, CSFs, KPIs, Metrics and Measures
Why meaning matters - Outcomes, Benefits, CSFs, KPIs, Metrics and MeasuresWhy meaning matters - Outcomes, Benefits, CSFs, KPIs, Metrics and Measures
Why meaning matters - Outcomes, Benefits, CSFs, KPIs, Metrics and MeasuresAdaptiveOrg Inc.
 
Workshop lean canvas cycle 3
Workshop lean canvas cycle 3Workshop lean canvas cycle 3
Workshop lean canvas cycle 3Sara Usinger
 
How to Identify a lean startup
How to Identify a lean startupHow to Identify a lean startup
How to Identify a lean startupAsh Maurya
 
From “toothbrushes” to ecosystem: we will see fintech-bank soon
From “toothbrushes” to ecosystem: we will see fintech-bank soonFrom “toothbrushes” to ecosystem: we will see fintech-bank soon
From “toothbrushes” to ecosystem: we will see fintech-bank soonVladislav Solodkiy
 
Building customer trust to drive your KPIs
Building customer trust to drive your KPIsBuilding customer trust to drive your KPIs
Building customer trust to drive your KPIsmext Consulting
 
Running Lean Canvas
Running Lean CanvasRunning Lean Canvas
Running Lean CanvasAsh Maurya
 
Building a Lean Startup
Building a Lean StartupBuilding a Lean Startup
Building a Lean StartupAsh Maurya
 
10 Steps to Product/Market Fit
10 Steps to Product/Market Fit10 Steps to Product/Market Fit
10 Steps to Product/Market FitAsh Maurya
 
Business plan vs Lean Canvas
Business plan vs Lean CanvasBusiness plan vs Lean Canvas
Business plan vs Lean CanvasAsh Maurya
 
10 steps to product/market fit
10 steps to product/market fit10 steps to product/market fit
10 steps to product/market fitAsh Maurya
 

Viewers also liked (20)

Workshop Lean Canvas
Workshop Lean CanvasWorkshop Lean Canvas
Workshop Lean Canvas
 
Avatech: Workshop Lean Canvas
Avatech: Workshop Lean CanvasAvatech: Workshop Lean Canvas
Avatech: Workshop Lean Canvas
 
Startup Metrics
Startup MetricsStartup Metrics
Startup Metrics
 
Workshop MVP
Workshop MVPWorkshop MVP
Workshop MVP
 
Market size - Avatech Accelerator
Market size - Avatech AcceleratorMarket size - Avatech Accelerator
Market size - Avatech Accelerator
 
Workshop mvp general
Workshop mvp generalWorkshop mvp general
Workshop mvp general
 
Mohsen Malayeri - Avatech Kick Off Event - Cycle #1 - October 2014
Mohsen Malayeri - Avatech Kick Off Event - Cycle #1 - October 2014Mohsen Malayeri - Avatech Kick Off Event - Cycle #1 - October 2014
Mohsen Malayeri - Avatech Kick Off Event - Cycle #1 - October 2014
 
Workshop lean startup
Workshop lean startupWorkshop lean startup
Workshop lean startup
 
Why meaning matters - Outcomes, Benefits, CSFs, KPIs, Metrics and Measures
Why meaning matters - Outcomes, Benefits, CSFs, KPIs, Metrics and MeasuresWhy meaning matters - Outcomes, Benefits, CSFs, KPIs, Metrics and Measures
Why meaning matters - Outcomes, Benefits, CSFs, KPIs, Metrics and Measures
 
Workshop lean canvas cycle 3
Workshop lean canvas cycle 3Workshop lean canvas cycle 3
Workshop lean canvas cycle 3
 
How to Identify a lean startup
How to Identify a lean startupHow to Identify a lean startup
How to Identify a lean startup
 
How to-use-buffer-by-ella
How to-use-buffer-by-ellaHow to-use-buffer-by-ella
How to-use-buffer-by-ella
 
From “toothbrushes” to ecosystem: we will see fintech-bank soon
From “toothbrushes” to ecosystem: we will see fintech-bank soonFrom “toothbrushes” to ecosystem: we will see fintech-bank soon
From “toothbrushes” to ecosystem: we will see fintech-bank soon
 
Building customer trust to drive your KPIs
Building customer trust to drive your KPIsBuilding customer trust to drive your KPIs
Building customer trust to drive your KPIs
 
Running Lean Canvas
Running Lean CanvasRunning Lean Canvas
Running Lean Canvas
 
Building a Lean Startup
Building a Lean StartupBuilding a Lean Startup
Building a Lean Startup
 
10 Steps to Product/Market Fit
10 Steps to Product/Market Fit10 Steps to Product/Market Fit
10 Steps to Product/Market Fit
 
Business plan vs Lean Canvas
Business plan vs Lean CanvasBusiness plan vs Lean Canvas
Business plan vs Lean Canvas
 
KPI driven growth
KPI driven growthKPI driven growth
KPI driven growth
 
10 steps to product/market fit
10 steps to product/market fit10 steps to product/market fit
10 steps to product/market fit
 

Similar to Introduction to Metrics and KPIs

Innovation accounting and key metrics for startups
Innovation accounting and key metrics for startupsInnovation accounting and key metrics for startups
Innovation accounting and key metrics for startupsBlaz Kos
 
SaaS Metrics - Bulletproof your SaaS Growth
SaaS Metrics - Bulletproof your SaaS GrowthSaaS Metrics - Bulletproof your SaaS Growth
SaaS Metrics - Bulletproof your SaaS GrowthAnadi Raj Tiwari
 
CRO Masterclass 21st August 2014
CRO Masterclass 21st August 2014 CRO Masterclass 21st August 2014
CRO Masterclass 21st August 2014 GlowMetrics
 
Whos On Presentation
Whos On PresentationWhos On Presentation
Whos On Presentationianrowley
 
Introduction to Channels and Metrics
Introduction to Channels and Metrics Introduction to Channels and Metrics
Introduction to Channels and Metrics Andy Lima
 
Ken schwartz the five step guide to
Ken schwartz   the five step guide to Ken schwartz   the five step guide to
Ken schwartz the five step guide to Sean Bradley
 
Content Jam Measure What Matters 06/14/12
Content Jam Measure What Matters 06/14/12Content Jam Measure What Matters 06/14/12
Content Jam Measure What Matters 06/14/12Tim Frick
 
Digital analytics lecture4
Digital analytics lecture4Digital analytics lecture4
Digital analytics lecture4Joni Salminen
 
Multichannel Retention Strategies: A Steady Diet of Low-Hanging Fruit
Multichannel Retention Strategies: A Steady Diet of Low-Hanging FruitMultichannel Retention Strategies: A Steady Diet of Low-Hanging Fruit
Multichannel Retention Strategies: A Steady Diet of Low-Hanging FruitInfoCision Management Corporation
 
Drive More Traffic Into Your Store with Rewards and Communications
Drive More Traffic Into Your Store with Rewards and CommunicationsDrive More Traffic Into Your Store with Rewards and Communications
Drive More Traffic Into Your Store with Rewards and CommunicationsTecmark
 
Content Jam Measure What Matters 06/14/12
Content Jam Measure What Matters 06/14/12Content Jam Measure What Matters 06/14/12
Content Jam Measure What Matters 06/14/12Mightybytes
 
Channels, Customer Relationships and Revenue Models Presentation - GIST Bootcamp
Channels, Customer Relationships and Revenue Models Presentation - GIST BootcampChannels, Customer Relationships and Revenue Models Presentation - GIST Bootcamp
Channels, Customer Relationships and Revenue Models Presentation - GIST BootcampMissMandy33
 
Rd big data & analytics v1.0
Rd big data & analytics v1.0Rd big data & analytics v1.0
Rd big data & analytics v1.0Yadu Balehosur
 
C-Store Loyalty Program Presentation for MPMA
C-Store Loyalty Program Presentation for MPMA C-Store Loyalty Program Presentation for MPMA
C-Store Loyalty Program Presentation for MPMA cathyharms
 

Similar to Introduction to Metrics and KPIs (20)

Innovation accounting and key metrics for startups
Innovation accounting and key metrics for startupsInnovation accounting and key metrics for startups
Innovation accounting and key metrics for startups
 
Marketing data analytics
Marketing data analyticsMarketing data analytics
Marketing data analytics
 
SaaS Metrics - Bulletproof your SaaS Growth
SaaS Metrics - Bulletproof your SaaS GrowthSaaS Metrics - Bulletproof your SaaS Growth
SaaS Metrics - Bulletproof your SaaS Growth
 
Google Analytics 101
Google Analytics 101Google Analytics 101
Google Analytics 101
 
PQF Overview
PQF OverviewPQF Overview
PQF Overview
 
How to use analytics to grow your eCommerce business
How to use analytics to grow your eCommerce businessHow to use analytics to grow your eCommerce business
How to use analytics to grow your eCommerce business
 
CRO Masterclass 21st August 2014
CRO Masterclass 21st August 2014 CRO Masterclass 21st August 2014
CRO Masterclass 21st August 2014
 
Whos On Presentation
Whos On PresentationWhos On Presentation
Whos On Presentation
 
Introduction to Channels and Metrics
Introduction to Channels and Metrics Introduction to Channels and Metrics
Introduction to Channels and Metrics
 
Ken schwartz the five step guide to
Ken schwartz   the five step guide to Ken schwartz   the five step guide to
Ken schwartz the five step guide to
 
Content Jam Measure What Matters 06/14/12
Content Jam Measure What Matters 06/14/12Content Jam Measure What Matters 06/14/12
Content Jam Measure What Matters 06/14/12
 
Digital analytics lecture4
Digital analytics lecture4Digital analytics lecture4
Digital analytics lecture4
 
Multichannel Retention Strategies: A Steady Diet of Low-Hanging Fruit
Multichannel Retention Strategies: A Steady Diet of Low-Hanging FruitMultichannel Retention Strategies: A Steady Diet of Low-Hanging Fruit
Multichannel Retention Strategies: A Steady Diet of Low-Hanging Fruit
 
Alibaba Group Canvas Business Model.
Alibaba Group Canvas Business Model.Alibaba Group Canvas Business Model.
Alibaba Group Canvas Business Model.
 
Drive More Traffic Into Your Store with Rewards and Communications
Drive More Traffic Into Your Store with Rewards and CommunicationsDrive More Traffic Into Your Store with Rewards and Communications
Drive More Traffic Into Your Store with Rewards and Communications
 
Content Jam Measure What Matters 06/14/12
Content Jam Measure What Matters 06/14/12Content Jam Measure What Matters 06/14/12
Content Jam Measure What Matters 06/14/12
 
Channels, Customer Relationships and Revenue Models Presentation - GIST Bootcamp
Channels, Customer Relationships and Revenue Models Presentation - GIST BootcampChannels, Customer Relationships and Revenue Models Presentation - GIST Bootcamp
Channels, Customer Relationships and Revenue Models Presentation - GIST Bootcamp
 
Rd big data & analytics v1.0
Rd big data & analytics v1.0Rd big data & analytics v1.0
Rd big data & analytics v1.0
 
C-Store Loyalty Program Presentation for MPMA
C-Store Loyalty Program Presentation for MPMA C-Store Loyalty Program Presentation for MPMA
C-Store Loyalty Program Presentation for MPMA
 
Crm
CrmCrm
Crm
 

More from Avatech Accelerator

Why I became an Angel Investor - Bashir Anisi
Why I became an Angel Investor - Bashir AnisiWhy I became an Angel Investor - Bashir Anisi
Why I became an Angel Investor - Bashir AnisiAvatech Accelerator
 
Workshop lean startup (Open workshop)
Workshop lean startup (Open workshop)Workshop lean startup (Open workshop)
Workshop lean startup (Open workshop)Avatech Accelerator
 
Silicon Valley in Iran Plateau - Said Rahmani Speech at Hamfekr Meetup
Silicon Valley in Iran Plateau - Said Rahmani Speech at Hamfekr MeetupSilicon Valley in Iran Plateau - Said Rahmani Speech at Hamfekr Meetup
Silicon Valley in Iran Plateau - Said Rahmani Speech at Hamfekr MeetupAvatech Accelerator
 
Entrepreneurship Succeeds Everywhere - Said Rahmani Speech at Avatech Meetup ...
Entrepreneurship Succeeds Everywhere - Said Rahmani Speech at Avatech Meetup ...Entrepreneurship Succeeds Everywhere - Said Rahmani Speech at Avatech Meetup ...
Entrepreneurship Succeeds Everywhere - Said Rahmani Speech at Avatech Meetup ...Avatech Accelerator
 

More from Avatech Accelerator (7)

Why I became an Angel Investor - Bashir Anisi
Why I became an Angel Investor - Bashir AnisiWhy I became an Angel Investor - Bashir Anisi
Why I became an Angel Investor - Bashir Anisi
 
Workshop Traction
Workshop TractionWorkshop Traction
Workshop Traction
 
Workshop lean startup (Open workshop)
Workshop lean startup (Open workshop)Workshop lean startup (Open workshop)
Workshop lean startup (Open workshop)
 
Workshop Market Size
Workshop Market SizeWorkshop Market Size
Workshop Market Size
 
Workshop MVP
Workshop MVPWorkshop MVP
Workshop MVP
 
Silicon Valley in Iran Plateau - Said Rahmani Speech at Hamfekr Meetup
Silicon Valley in Iran Plateau - Said Rahmani Speech at Hamfekr MeetupSilicon Valley in Iran Plateau - Said Rahmani Speech at Hamfekr Meetup
Silicon Valley in Iran Plateau - Said Rahmani Speech at Hamfekr Meetup
 
Entrepreneurship Succeeds Everywhere - Said Rahmani Speech at Avatech Meetup ...
Entrepreneurship Succeeds Everywhere - Said Rahmani Speech at Avatech Meetup ...Entrepreneurship Succeeds Everywhere - Said Rahmani Speech at Avatech Meetup ...
Entrepreneurship Succeeds Everywhere - Said Rahmani Speech at Avatech Meetup ...
 

Recently uploaded

Presentation of project of business person who are success
Presentation of project of business person who are successPresentation of project of business person who are success
Presentation of project of business person who are successPratikSingh115843
 
Digital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksDigital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksdeepakthakur548787
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Boston Institute of Analytics
 
IBEF report on the Insurance market in India
IBEF report on the Insurance market in IndiaIBEF report on the Insurance market in India
IBEF report on the Insurance market in IndiaManalVerma4
 
Non Text Magic Studio Magic Design for Presentations L&P.pdf
Non Text Magic Studio Magic Design for Presentations L&P.pdfNon Text Magic Studio Magic Design for Presentations L&P.pdf
Non Text Magic Studio Magic Design for Presentations L&P.pdfPratikPatil591646
 
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...Jack Cole
 
DATA ANALYSIS using various data sets like shoping data set etc
DATA ANALYSIS using various data sets like shoping data set etcDATA ANALYSIS using various data sets like shoping data set etc
DATA ANALYSIS using various data sets like shoping data set etclalithasri22
 
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis modelDecoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis modelBoston Institute of Analytics
 
Role of Consumer Insights in business transformation
Role of Consumer Insights in business transformationRole of Consumer Insights in business transformation
Role of Consumer Insights in business transformationAnnie Melnic
 
Digital Indonesia Report 2024 by We Are Social .pdf
Digital Indonesia Report 2024 by We Are Social .pdfDigital Indonesia Report 2024 by We Are Social .pdf
Digital Indonesia Report 2024 by We Are Social .pdfNicoChristianSunaryo
 
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis ProjectBank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis ProjectBoston Institute of Analytics
 
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...Dr Arash Najmaei ( Phd., MBA, BSc)
 
Statistics For Management by Richard I. Levin 8ed.pdf
Statistics For Management by Richard I. Levin 8ed.pdfStatistics For Management by Richard I. Levin 8ed.pdf
Statistics For Management by Richard I. Levin 8ed.pdfnikeshsingh56
 
English-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdf
English-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdfEnglish-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdf
English-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdfblazblazml
 

Recently uploaded (17)

Presentation of project of business person who are success
Presentation of project of business person who are successPresentation of project of business person who are success
Presentation of project of business person who are success
 
Digital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing worksDigital Marketing Plan, how digital marketing works
Digital Marketing Plan, how digital marketing works
 
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
Data Analysis Project Presentation: Unveiling Your Ideal Customer, Bank Custo...
 
IBEF report on the Insurance market in India
IBEF report on the Insurance market in IndiaIBEF report on the Insurance market in India
IBEF report on the Insurance market in India
 
Non Text Magic Studio Magic Design for Presentations L&P.pdf
Non Text Magic Studio Magic Design for Presentations L&P.pdfNon Text Magic Studio Magic Design for Presentations L&P.pdf
Non Text Magic Studio Magic Design for Presentations L&P.pdf
 
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
why-transparency-and-traceability-are-essential-for-sustainable-supply-chains...
 
DATA ANALYSIS using various data sets like shoping data set etc
DATA ANALYSIS using various data sets like shoping data set etcDATA ANALYSIS using various data sets like shoping data set etc
DATA ANALYSIS using various data sets like shoping data set etc
 
Data Analysis Project: Stroke Prediction
Data Analysis Project: Stroke PredictionData Analysis Project: Stroke Prediction
Data Analysis Project: Stroke Prediction
 
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis modelDecoding Movie Sentiments: Analyzing Reviews with Data Analysis model
Decoding Movie Sentiments: Analyzing Reviews with Data Analysis model
 
Role of Consumer Insights in business transformation
Role of Consumer Insights in business transformationRole of Consumer Insights in business transformation
Role of Consumer Insights in business transformation
 
Digital Indonesia Report 2024 by We Are Social .pdf
Digital Indonesia Report 2024 by We Are Social .pdfDigital Indonesia Report 2024 by We Are Social .pdf
Digital Indonesia Report 2024 by We Are Social .pdf
 
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis ProjectBank Loan Approval Analysis: A Comprehensive Data Analysis Project
Bank Loan Approval Analysis: A Comprehensive Data Analysis Project
 
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
6 Tips for Interpretable Topic Models _ by Nicha Ruchirawat _ Towards Data Sc...
 
Statistics For Management by Richard I. Levin 8ed.pdf
Statistics For Management by Richard I. Levin 8ed.pdfStatistics For Management by Richard I. Levin 8ed.pdf
Statistics For Management by Richard I. Levin 8ed.pdf
 
English-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdf
English-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdfEnglish-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdf
English-8-Q4-W3-Synthesizing-Essential-Information-From-Various-Sources-1.pdf
 
2023 Survey Shows Dip in High School E-Cigarette Use
2023 Survey Shows Dip in High School E-Cigarette Use2023 Survey Shows Dip in High School E-Cigarette Use
2023 Survey Shows Dip in High School E-Cigarette Use
 
Insurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis ProjectInsurance Churn Prediction Data Analysis Project
Insurance Churn Prediction Data Analysis Project
 

Introduction to Metrics and KPIs

  • 2. • Measures, Metrics and KPIs – What makes sense to be measured? • Pirate Metrics as a first Model • Traction Channels and the Pirate Metrics • KPIs Agenda
  • 4. Measures Anything that is measured, e.g. number of customers, total revenue, etc. There is nothing inherently good or bad with a measure so it is not helping you to figure out if you are doing good.
  • 5. Metric A value typically derived by a combination of two or more measures, e.g. total revenue over time, development of unique visitors etc. Metrics do provide you with an information if the values are good or bad.
  • 6. KPI ”The most important performance information that enables organizations or their stakeholders to understand whether the organization is on track or not.” ”Something you are willing to pay a significant amount of money to increase it.”
  • 8. What makes sense to be measured? • Values that help you to understand you business, your customers behaviour and your current strengths and weaknesses • Values that help you to improve your business • Values that let you compare behaviour over time
  • 10. Pirate Metrics ( to get started)
  • 11. Acquisition Acquisition is the first contact point with a customer and your product or website. Examples: • Duel: Downloaded the App and registered • Germinal: Came to the website and registered for the newsletter
  • 12. Activation Activation is the stage where people actually use your product. Examples: • Fullfekr: reading the Q&A, starting a free chat • Lynxir/Easypaz: Item placed to the Shopping cart/ first order
  • 13. Retention Getting (first time) users back! Examples: • Datashahr: Writing two reviews/ searching two times via the platform for a second time within x days • Easypaz: Second Order
  • 14. Referral Getting users into the referral stages means they not only like your product, but they think that their contacts and friends could also benefit from that value. Examples: Germinal: Recommend your product to their friends Hotspotplus: Forward Advertisement to their friends
  • 15. Revenue Getting paid! Examples: Easypaz: Customer Lifetime value/ % of users that buy NazarBazaar: Average revenue per campaign Duel: Average number of Sales per partner
  • 17. Limits of the Pirate Metrics • Great to measure the onboarding process but not so good in measuring what happens after! • Originally focussed on SaaS services • Primarily measuring simple numbers
  • 19. Traction Channels and Pirate Metrics You don’t only want to know what happens with users once they are acquired but where they come from
  • 20. Traction Channels and Pirate Metrics Metrics to measure: • Cost per Acquisition • What is the % for each acquisition channel • How do those users behave while going through the funnel – How many from each channel use the service once? – How many per channel are coming back? – How many invite friends? • CLV for each Traction Channel
  • 22. KPI’s Where are you willing to pay a significant amount of money to increase the value?
  • 24. Homework • Discuss and define your initial number of Metrics • Define a first version of your KPIs • Create a google spreadsheet to measure them weekly and share it with Sara • Insert the first set of numbers

Editor's Notes

  1. Brief overview on the topic of lean startup, then we will move to one essential feature and framework, It is hands on so after a short introduction you will create something Change your place Take notes
  2. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  3. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  4. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  5. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  6. Stages
  7. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  8. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  9. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  10. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  11. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  12. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  13. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  14. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  15. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  16. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes
  17. Which Mentor do you want to talk to, what do you want to achieve with your product, revenue?, team, feedback, processes