how to drive exponential growth using unconventional data sources
TRANSCRIPT
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Presented by
Driving Exponential Growth Using Unconventional Data
Sources
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ChartioAJ Welch
Data EngineeringMeteor
Dan Ahmadi
Marketing & GrowthSegmentJJ Nguyen
Product Marketing
Today’s Speakers
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Segment Overview of Segment and how to leverage your data for growth (10 min)
Meteor How Meteor combines data sources and the analyses they use to track and drive growth (20 min)
Chartio Overview of Chartio and deep dive into connecting Segment with Chartio (10 min)
Q&A (10 minutes)
Today’s Agenda
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• The recording will be sent to all webinar participants after the event.• Questions? Type them in the chat box & we will answer at the end• Posting to social? Use #SegmentandChartio
What’s next?
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Customer data, simplified.
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About Segment
• Ecommerce• Customer Support• CRM• Analytics• Business Intelligence• Data Warehousing• Mobile Advertising• Display Advertising• Email Marketing• Live Chat• …and more
180+ Partner Ecosystem
• Mobile apps• Websites• Servers• Cloud apps
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Send your data from anywhere, no matter what device or platform.
website
server
mobile
analytics.js
ios sdk android sdk
python
php
clojurenode.js
.net go
ruby
java
What we support
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After SegmentBefore Segment
Data is collected once and distributed wherever you need it.
That means consistent data and less code.
What using Segment looks like
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Integrations
Warehouses
Sources
What using Segment looks like
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Segment buses data from where it happens to where it's valuable.
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How Segment thinks about growth
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Growth Marketing = Personalization + Automation
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360 DegreeData Collection
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First-party
• Ecommerce• Customer support• CRM• Analytics• Business Intelligence• Data Warehousing• Mobile Advertising• Display Advertising• Email Marketing• Live Chat• …and more
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First-party
• Ecommerce• Customer support• CRM• Analytics• Business Intelligence• Data Warehousing• Mobile Advertising• Display Advertising• Email Marketing• Live Chat• …and more
Second-party
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First-party
• Ecommerce• Customer support• CRM• Analytics• Business Intelligence• Data Warehousing• Mobile Advertising• Display Advertising• Email Marketing• Live Chat• …and more
Second-party
Enrichment
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DATA COLLECTION DATA ENRICHMENT DATA USAGE
Data Busing
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Using Data for Growth
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Extremely Targeted Nurturing Emails
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Do logic conditions impact performance?User TraitsDo logic conditions impact performance?
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Do logic conditions impact performance?
User TraitsDo logic conditions impact
performance?
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User TraitsDo logic conditions impact
performance?
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User TraitsDo logic conditions impact performance?Do logic conditions impact
performance?
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Second-party data: Gmail & Gcal
GET LIST OF INVITES
GET EMAIL SENDER
TRACK CALL
PAUSE EMAILS
• Measure reply rate• Measure call efficiency• Pause emails automatically after receiving an email reply
• Pause emails when a customer talks with sales rep
Sync sales and nurturing automation
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Using Data for Growth
Growth marketing = personalization + automation
Marketers need a 360° view of the customer
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Meteor is an open-sourceJavaScript Application Framework
Apollo is an open-source Data Layer
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#1Web App Framework
35k Stars on GitHub
1MApplications
Built with Meteor
600kJavaScript Developers
Using Meteor
by the numbers
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2.4M Segment events per week.
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hourly
instantly
AWS
RedS
hift
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Some of our data sources available in Chartio
Chart.io Source
Segment Sources
Segment Sources
Webhook to Segment
API to Segment
Webhook to Segment
API to Segment
API to Segment
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W E B H O O K
Formatting, filtering
T R A Y . I OZ A P I E R
All Activity
S E G M E N T
Redshift
C H A R T . I O
Getting unconventional external data to Segment
A P I E N D P O I N T
Formatting, filtering
T R A Y . I OZ A P I E R S E G M E N T
Redshift
C H A R T . I O
T R A Y . I OZ A P I E R
Every N hours:
GET
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Measuring and reporting what matters
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Merging multiple datasources in one view
Segment Web Event
Command Line Interface Segment Web Event
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Diving into unconventional data: GitHub activity
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Raw data format doesn’t answer our questions!
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Each layer delivers one line on this chart
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All layers are merged by date and plotted accordingly
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Encouraging open-source contributions
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Community activation
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Monitoring daily growth patterns and anomalies
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Monitoring daily growth patterns and anomalies
Lost customers, route to support
Large decrease in usage, why?Steady increase. Great!
Rapid increase in usage, why?
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Empowering anyone in a business to visualize and analyze real-time enterprise
data
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The Smartest Companies Use Chartio
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Case Studies
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Chartio’s Cloud Architecture
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Demo
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Q&A#SegmentandChartio
ChartioAJ Welch
Data EngineeringMeteor
Dan Ahmadi
Marketing & GrowthSegmentJJ Nguyen
Product Marketing