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Analytics @ Dyn
@rvysetty @DynInc
Analytics @ Dyn
Raj Vysetty
Director of Strategic Analytics
@rvysetty @Dyninc
Analytics @ Dyn
@rvysetty @DynInc
“In god we trust,
all others bring data”
vs.
“Not everything that can
be measured matters, and
not everything that matters
can be measured”
Analytics @ Dyn
@rvysetty @DynInc
Analytics @ Dyn
@rvysetty @DynInc
• Dyn Background
• Analytics Frameworks
• Sources, Tools and Metrics
• Case-study
• Closing Tips
Analytics @ Dyn
Overview
Analytics @ Dyn
@rvysetty @DynInc
Background
Analytics @ Dyn
@rvysetty @DynInc
Introduction to Dyn
Overview
• Founded in 2001
• Managed DNS / Email Delivery
• $30 MM Revenue for 2012,
70% Annual Growth
• 220 Employees
• Direct Sales Channel focused
on enterprises (2000+
Customers)
• eCommerce Channel for the
home user and small
businesses (500K+ Customers)
Analytics @ Dyn
@rvysetty @DynInc
Some of Our Customers
Analytics @ Dyn
@rvysetty @DynInc
Analytics
Frameworks
Analytics @ Dyn
@rvysetty @DynInc
Three Classes of Analytics
Reporting
Analysis
Exploration
Known - Known’s
Known - Unknown’s
Unknown - Unknown’s
Avinash Kaushik’s Framework
Analytics @ Dyn
@rvysetty @DynInc
Framing An Analysis Question
• My Hypothesis is… If it’s right, then…
• Numbers can distract, and hence it is
very important to ask the right
questions
Analytics @ Dyn
@rvysetty @DynInc
Tools & Data
Sources
Analytics @ Dyn
@rvysetty @DynInc
Data Sources & Tools
• Websites Data
• Sales Data
• Customer & Product Data
• Social Data
• Voice of Customers
• Competitive Data
• Reporting/Analysis tool
Analytics @ Dyn
@rvysetty @DynInc
Some of
Our Metrics
Analytics @ Dyn
@rvysetty @DynInc
Some of Our Metrics
• CLTV
• CMRR Growth
• Trial Conversion Rate
• Annual Churn
• CAC
Standard Metrics
Analytics @ Dyn
@rvysetty @DynInc
Some of Our Metrics
• % of Revenue vs. % of Customers
• Time to upsell contracts
• Discounting vs. Monthly Price
• Previous Technology of New Customers
• Advanced Features Take-rate
• Cross-sell Ratio
More Strategic Metrics
Analytics @ Dyn
@rvysetty @DynInc
Time to Upgrade a Customer
10% OF CUSTOMERS
ARE UPSOLD WITHIN 3
MONTHS
20.3 % OF CUSTOMERS
ARE UPSOLD WITHIN 6
MONTHS
35% OF CUSTOMERS ARE
UPSOLD IN THE FIRST
YEAR
47% ARE UPSOLD IN THE
FIRST 2 YEARS
0%
10%
20%
30%
40%
50%
0 5 10 15 20 25
%ofCustomersUpgraded
Time from Customer Acquisition to first Upsell (in Month's)
• We upsell 35%
of customers in
their first year of
signing a contract
• Customers who
do not upgrade
in year 1 are 3 times
less likely
to start upgrading in
year 2
Analytics @ Dyn
@rvysetty @DynInc
Dyn
Case Study
Analytics @ Dyn
@rvysetty @DynInc
Testing the Freemium Model
Analytics @ Dyn
@rvysetty @DynInc
Testing The Freemium Model
• Free ->Freemium -> Trial Based Service
• Identified the biggest levers in our service
through deep analysis
• Built a model out the estimated impact based
on Conversion Rates
• Tested aggressively to identify optimal
revenue strategy
Analytics @ Dyn
@rvysetty @DynInc
Revenue Impact
• 4x Increase in
Revenue & Conversion for the
product
• New Revenue
from our eCommerce
channel more than doubled!
Analytics @ Dyn
@rvysetty @DynInc
Predictive Outbound Marketing
• Profile your customers using non-
traditional measures
• Scoring a cold outreach
– Traditional Attributes
• Industry, Size, Revenue
– Non-Traditional Attributes
• Web Technologies Used
• Google Adwords Spend
• Alexa Rank; Domain Reputation etc
• Triggers/Alerts
– Service expirations, Added/deleted a web-tech
• We use Datanyze as our major datasource
for these analysis
Analytics @ Dyn
@rvysetty @DynInc
Predictive Outbound Marketing
Analytics @ Dyn
@rvysetty @DynInc
Churn Analysis for our
eCommerce Channel
• Service A
– Majority of the domains we lost were
from companies that went out of
business etc
– Very small fraction went to a competition
• Service B
– Majority of lost customers are
still active
– We actually ‘lose-lose’ a very tiny fraction
of the lost customers
• Helped us figure out where to
focus our efforts on
Dead
Competition
Using a free
service
Expire, buy
new
Lost
Move to
Free
Analytics @ Dyn
@rvysetty @DynInc
Closing
Tips
Analytics @ Dyn
@rvysetty @DynInc
Closing Tips
• Test Big changes. Don’t be afraid to test
something controversial.
• Analyze Segments and Cohorts
• Look for Distributions – Not Averages
Analytics @ Dyn
@rvysetty @DynInc
Closing Tips
• Don’t confuse correlation
with causation
• Stay away from Vanity Metrics
• Don’t confuse Revenue
with Incremental Revenue
– especially for Branded Search, Display re-
targeting, etc.
Analytics @ Dyn
@rvysetty @DynInc
Thank You!
Raj Vysetty
Director of Strategic Analytics
@rvysetty @Dyninc

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Dyn ppt

  • 1. Analytics @ Dyn @rvysetty @DynInc Analytics @ Dyn Raj Vysetty Director of Strategic Analytics @rvysetty @Dyninc
  • 2. Analytics @ Dyn @rvysetty @DynInc “In god we trust, all others bring data” vs. “Not everything that can be measured matters, and not everything that matters can be measured”
  • 3. Analytics @ Dyn @rvysetty @DynInc Analytics @ Dyn @rvysetty @DynInc • Dyn Background • Analytics Frameworks • Sources, Tools and Metrics • Case-study • Closing Tips Analytics @ Dyn Overview
  • 4. Analytics @ Dyn @rvysetty @DynInc Background
  • 5. Analytics @ Dyn @rvysetty @DynInc Introduction to Dyn Overview • Founded in 2001 • Managed DNS / Email Delivery • $30 MM Revenue for 2012, 70% Annual Growth • 220 Employees • Direct Sales Channel focused on enterprises (2000+ Customers) • eCommerce Channel for the home user and small businesses (500K+ Customers)
  • 6. Analytics @ Dyn @rvysetty @DynInc Some of Our Customers
  • 7. Analytics @ Dyn @rvysetty @DynInc Analytics Frameworks
  • 8. Analytics @ Dyn @rvysetty @DynInc Three Classes of Analytics Reporting Analysis Exploration Known - Known’s Known - Unknown’s Unknown - Unknown’s Avinash Kaushik’s Framework
  • 9. Analytics @ Dyn @rvysetty @DynInc Framing An Analysis Question • My Hypothesis is… If it’s right, then… • Numbers can distract, and hence it is very important to ask the right questions
  • 10. Analytics @ Dyn @rvysetty @DynInc Tools & Data Sources
  • 11. Analytics @ Dyn @rvysetty @DynInc Data Sources & Tools • Websites Data • Sales Data • Customer & Product Data • Social Data • Voice of Customers • Competitive Data • Reporting/Analysis tool
  • 12. Analytics @ Dyn @rvysetty @DynInc Some of Our Metrics
  • 13. Analytics @ Dyn @rvysetty @DynInc Some of Our Metrics • CLTV • CMRR Growth • Trial Conversion Rate • Annual Churn • CAC Standard Metrics
  • 14. Analytics @ Dyn @rvysetty @DynInc Some of Our Metrics • % of Revenue vs. % of Customers • Time to upsell contracts • Discounting vs. Monthly Price • Previous Technology of New Customers • Advanced Features Take-rate • Cross-sell Ratio More Strategic Metrics
  • 15. Analytics @ Dyn @rvysetty @DynInc Time to Upgrade a Customer 10% OF CUSTOMERS ARE UPSOLD WITHIN 3 MONTHS 20.3 % OF CUSTOMERS ARE UPSOLD WITHIN 6 MONTHS 35% OF CUSTOMERS ARE UPSOLD IN THE FIRST YEAR 47% ARE UPSOLD IN THE FIRST 2 YEARS 0% 10% 20% 30% 40% 50% 0 5 10 15 20 25 %ofCustomersUpgraded Time from Customer Acquisition to first Upsell (in Month's) • We upsell 35% of customers in their first year of signing a contract • Customers who do not upgrade in year 1 are 3 times less likely to start upgrading in year 2
  • 16. Analytics @ Dyn @rvysetty @DynInc Dyn Case Study
  • 17. Analytics @ Dyn @rvysetty @DynInc Testing the Freemium Model
  • 18. Analytics @ Dyn @rvysetty @DynInc Testing The Freemium Model • Free ->Freemium -> Trial Based Service • Identified the biggest levers in our service through deep analysis • Built a model out the estimated impact based on Conversion Rates • Tested aggressively to identify optimal revenue strategy
  • 19. Analytics @ Dyn @rvysetty @DynInc Revenue Impact • 4x Increase in Revenue & Conversion for the product • New Revenue from our eCommerce channel more than doubled!
  • 20. Analytics @ Dyn @rvysetty @DynInc Predictive Outbound Marketing • Profile your customers using non- traditional measures • Scoring a cold outreach – Traditional Attributes • Industry, Size, Revenue – Non-Traditional Attributes • Web Technologies Used • Google Adwords Spend • Alexa Rank; Domain Reputation etc • Triggers/Alerts – Service expirations, Added/deleted a web-tech • We use Datanyze as our major datasource for these analysis
  • 21. Analytics @ Dyn @rvysetty @DynInc Predictive Outbound Marketing
  • 22. Analytics @ Dyn @rvysetty @DynInc Churn Analysis for our eCommerce Channel • Service A – Majority of the domains we lost were from companies that went out of business etc – Very small fraction went to a competition • Service B – Majority of lost customers are still active – We actually ‘lose-lose’ a very tiny fraction of the lost customers • Helped us figure out where to focus our efforts on Dead Competition Using a free service Expire, buy new Lost Move to Free
  • 23. Analytics @ Dyn @rvysetty @DynInc Closing Tips
  • 24. Analytics @ Dyn @rvysetty @DynInc Closing Tips • Test Big changes. Don’t be afraid to test something controversial. • Analyze Segments and Cohorts • Look for Distributions – Not Averages
  • 25. Analytics @ Dyn @rvysetty @DynInc Closing Tips • Don’t confuse correlation with causation • Stay away from Vanity Metrics • Don’t confuse Revenue with Incremental Revenue – especially for Branded Search, Display re- targeting, etc.
  • 26. Analytics @ Dyn @rvysetty @DynInc Thank You! Raj Vysetty Director of Strategic Analytics @rvysetty @Dyninc