1) The document discusses various ways to integrate Google Analytics data with other data sources. It describes using custom dimensions and metrics, data import, and measurement protocol to bring external data into Google Analytics.
2) Methods for extracting data from Google Analytics include reporting APIs and BigQuery, which allow querying aggregated Analytics data.
3) The goal is to connect web data from Google Analytics to other sources of data like CRM systems in order to provide a more complete view of customers and marketing performance. This can help illuminate the relationship between marketing, user behavior, and ROI.
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Jonathan Weber - All Things DATA 2017
1. Free Your Data
from the Web
Integration Opportunities with Google Analytics
Jonathan Weber | Data Evangelist, LunaMetrics | All Things Data 2017 | #ATD2017
2. Welcome Ok, So Who Is This?
#ATD2017 2
Jonathan Weber
Data Evangelist
Analytics & Insight
weber@lunametrics.com
3. Welcome About LunaMetrics
LunaMetrics is a Digital Marketing & Google Analytics consultancy helping businesses
use data to illuminate the bridge between marketing, user behavior and ROI. Our
core consulting competencies are in Google Analytics and Search.
3
6. Intro
Get Data Out:
• Google integrations for
Audiences
• APIs
• BigQuery
Connecting GA to “Other” Data
Bring Data In:
• Custom dimensions and
metrics
• Data Import
• Measurement Protocol
#ATD2017 6
Connecting Web Data to Other Data
7. What’s the “Other” Data?
#ATD2017 7
CRM
Marketing
Automation
Online Ad
Platform
Social Media
Management
Ecommerce
Content
Management
System
9. Custom
Custom Dimensions is a feature that lets you collect more
information about your visitors, your pages, and more.
Set on four different levels:
§ User (applies to the user, including their current and future sessions)
§ Session (applies to the current session only)
§ Hit (applies to the pageview/event only)
§ Product (applies to a specific product for ecommerce tracking)
Not Enough Dimensions/Metrics?
Google Support – Custom Dimensions & Metrics
Google Analytics 201 9
12. Custom
Outcome:
§ 57% increase in conversion rate over campaigns without
audience targeting
§ Better identification of and engagement with target audience
(potential teachers)
§ More efficient and effective advertising efforts and spend.
Case Study – Teach for America
Teach for America Case Study
Google Analytics 201 12
Teach for America used Custom
Dimension-based segments to create
audiences that were used to target
ad campaigns.
18. Measuring Visitors
Programmatically upload data to this Data Set with the Management API
Can set up regularly scheduled uploads (e.g. daily at midnight)
Data Import
Google Analytics 301 18
Data Import
20. Universal Analytics
§ Your website (analytics.js) is only one way to send data to GA
§ More generally, Universal Analytics revolves around a
Measurement Protocol
§ HTTP API for sending user interaction data to Google Analytics
§ Measure activity in new, non-website environments:
§ Salesforce trigger when a prospect is updated
§ Pixel in an email
§ By a customer support rep during a phone call
§ Through a backend system when a purchase is made
in a brick-and-mortar store
Measurement Protocol
Using Google Analytics Measurement Protocol with Webhooks
How Google Analytics Collects Information
Google Analytics 301 20
22. Extracting
• A variety of dashboarding and custom reporting tools are
included, but they are not totally comprehensive.
• Incorporates web data, and potentially offline data, but…
• Data must fit into a web paradigm to be usefully reported.
• Restrictions on PII.
• Reports on aggregated data, not by individual users.
Google Analytics – Limitations
Analytics 360 & BigQuery 22
27. Recap
Get Data Out:
• Google integrations for
Audiences
• APIs
• BigQuery
Connecting GA to “Other” Data
Bring Data In:
• Custom dimensions and
metrics
• Data Import
• Measurement Protocol
#ATD2017 27
Connecting Web Data to Other Data
28. Recap Thank You!
#ATD2017 28
Jonathan Weber
Data Evangelist
Analytics & Insight
weber@lunametrics.com