Marketing Analytics Glossary : 400+ Google Analytics Terms & Definitions You Need to Know

Marketing Analytics Glossary: Are you exciting to crawl the digital marketing report? Are you an expert in fetching the analytics report? Do you still confuse about what to do? Now, most of the brands are much known about the analytics report of their business data which helps in analyzing the performance of their putting efforts. We all know about Google Analytics, but along with that, we can find several analytics tools in the market.

However, whatever tool it may be, marketers need to understand the vocabulary, and then you can find how useful the analytics glossary is in your business performance. The analytics tools become top players when they are straight forward, and if not, then what to do. When you are using the Google Analytics dashboard, you can find nothing, but when you are in touch with the analytics glossary, then you can find no time to leave Google Analytics aside. This is why you need to know the key terms in the analytics of digital marketing.

Marketing Analytics Glossary: 400+ Google Analytics Terms & Definitions

A-/B-Test / Multivariate-Test
Account
ACID test
Acquisition
Active Intelligence
Active Pages
Active Users
Ad Targeting
Advanced Segment
Advertising Features
Aggregation
Algorithm
All Interactions
Analytics
Analytics Intelligence
Annotations
Anonymization
AOV
Apache Kafka
API
App + Web Property
Artificial Intelligence
Assisted Conversion
Attribution
Attribution Model
Attribution Report
Audiences
Augmented Analytics
Augmented Intelligence
Automatic Identification and Capture (AIDC)
Average Session Duration
Avro
Azure Data Warehousing
Behavior Analysis
Behavioral analytics
Behavior Flow
Benchmarking
Big Data Analytics
Big Data Management
Big Data Scientist
Bounce
Bounce Rate
Business Analysis
Business Intelligence
Business Intelligence (BI)
Business Intelligence Software
Button Clicks
Calculated Metric
Call Detail Record (CDR) analysis
Campaign
Campaign Name
Campaign Tags
Cascading
Cassandra
Cell phone data
Change Data Capture
Change History
Channel
Channel Grouping
Chukwa
Classification analysis
Clickstream
Clickstream Analytics
Client ID
Clojure
Cloud
Cloud Analytics
Cloud computing
Cloud Data Migration
Cloud Data Warehouse
Clustering analysis
Cohort Analysis
Cold data storage
Columnar database or column-oriented database
Companies Properties
Comparative analysis
Comparators
Competitive Monitoring
Complex Event Processing (CEP)
Confabulation
Contacts
Contacts Properties
Contact-to-Customer Conversion Rate
Content Group
Content Grouping
Conv. Rate
Conversational Analytics
Conversion
Conversion Rate
Conversion Type
Cookie
Cookies
Cost Analysis
CPC
Cross-Device
Cross-channel analytics
Custom Dimension / Custom Metric
Custom Segment
Dashboard
Dashboard, Cockpit
Dashboards
Data access
Data Aggregation
Data Analytics
Data Architecture and Design
Datacenter
Data cleansing
Data collection
Data custodian
Data Discovery
Data Exhaust
Data Exploration
Data feed
Data governance
Data Import
Data Ingestion
Data Integration
Data integrity
Data Lake
Data Literacy
Data Management
Data Mart
Data Migration
Data mining
Data model, data modeling
Data point
Data profiling
Data quality
Data Replication
Data repository
Data Retention
Data Science
Data scientist
Data security
Data set
Data source
Data steward
Data Stream
Data Streaming
Data structure
Data Virtualization
Data Visualization
Data Warehouse
Data Warehouse Automation
Database
Database administrator (DBA)
Database as a service (DaaS)
Database management system (DBMS)
Data-directed decision making
DataOps
Decision Support Systems
Deep Thunder
Default Reporting Identity
De-Identification
Demographic data
Demographics
Device Category
Digital Analytics
Dimension
Dimensions
Direct
Direct Traffic
Distributed cache
Distributed File System
Distributed object
Distributed Processing
Document management
Document Store Databases
Dollar Index
Drill
E-commerce Conversion
Elasticsearch
Embedded Analytics
Engagement Rate
Enhanced Measurement
Entrance
Entrances
Entry Page
ETL
ETL Tool
Event
Event Analytics
Events
Exabyte
Exit Page
Exploratory analysis
External data
Extract, transform, and load (ETL)
Failover
Filter
Firebase
First and Last Interaction
First and Last Touch
First Interaction
First Interaction (or First-Click)
First Touch
Flume
Form Submissions
Funnel
Funnel Step
Funnel Visualisation
GDPR
GeoAnalytics
Global Site Tag (or gtag.js)
Goal
Goal Abandonment
Goal Completion
Goal Completion Location
Goal Value
Goals
Google Ads
Google AdWords
Google Analytics
Google Data Studio
Google Optimize
Google Signals
Google Tag Manager
Graph Databases
Grid computing
Hadoop
Hama
HANA
HBase
HCatalog
HDFS (Hadoop Distributed File System)
Heatmap
Hit
Hive
Hostname
Hue
Impala
Impression
In-Database analytics
Individual
In-Memory Data Grid (IMDG)
In-memory database
Intelligence
Interaction Score
Interests
Internet of Things
IoT Analytics
JavaScript
Kafka
Kafka Streams
Key Performance Indicator (KPI)
Key Value Stores
KeyValue Databases
Keyword
KPI
KPI Reports
Landing Page
Last AdWords Click
Last Interaction
Last Interaction (or Last-Click)
Last Non-Direct Click
Last Touch
Latency
Lifecycle Stage
Lifetime Value (LTV)
Linear
Linked data
List Segmentation
Load balancing
Local Product Revenue
Location analytics
Location data
Log file
Lookback Window
Machine learning
Machine2Machine data
Machine-generated data
Mahout
Map/Reduce
MapReduce
Mashup
Measurement Protocol
Medium
Metadata
Metric
Metrics
MongoDB
MPP database
Multi-Channel Funnel
Multi-Dimensional Databases
MultiValue Databases
Network analysis
New User
New Visitor
NewSQL
NoSQL
Not provided
Not Set
Object Databases
Object-based Image Analysis
Online analytical processing (OLAP)
Online transactional processing (OLTP)
Oozie
Open Data Center Alliance (ODCA)
OpenDremel
Operational Data Store (ODS)
Orders
Organic
Organic Search
Page
Page Impression, Page View (PI, PV)
Page Value
Pages Per Session
Pageview
Paid
Paid Search
Parallel Data Analysis
Parallel method invocation (PMI)
Parallel processing
Parallel query
Pattern recognition
Pentaho
Percentage of New Sessions
Petabyte
Pig
PII (Personally Identifiable Information)
Position Based
Predictive Analysis
Predictive analytics
Predictive modeling
Previous Page Path
Product Revenue
Property
Proxy
Public data
Quantity
Query
Query Anal
Query analysisRealtimeime daRealtimeime Tracking
Recommendation Engine
Reference data
Referral
Referrals
Referrer
Regular Expression (or Regex)
Re-identification
Reporting Analytics
Returning Visitor
Revenue
Revenue Per User
Revenue Report
Risk analysis
Root-cause analysis
Routing analysis
RPV
Sampling
SAP Analytics
Scalability
Schema
Score
Search Console
Search data
Search Query
Search Term
Segment
Segmentation
Segments
Self-Referral
Semi-structured data
Sentiment Analysis
Server
Session
Session Settings
Sessions
Simple Decay
Site Search
Smart Goals
Social
Social Media Analytics
Social Plugins
Software as a service (SaaS)
Source
Sources
Spatial Analysis
SQL
Sqoop
Storage
Storm
Structured data
Structured Query Language (SQL)
Subscribers
Tag
Tag Management System
Text analytics
Thrift
Time Decay
Time on Page
Time on Site
Touchpoints
Tracking
Tracking Code
Tracking ID
Tracking URL
Traffic
Transaction
Transactional data
Transactions Per User
Unique Pageview
Unique Views
Unique Visitors
Units Sold
Unstructured data
URL Builder
URL Parameter
User
User Explorer
User ID
User ID Coverage
User Timings
Users Flow
UTM Tag
Value
Variable Pricing
View
Views
Visit
Visit Duration
Visit, Session
Visitor Flow
Visitor, Unique Visitor
Visitors
Visits
Visit-to-Contact Conversion Rate
Visit-to-Customer Conversion Rate
Visual Analytics
Visualization
Volume
Weather data
Web analytics
WebHDFS Apache Hadoop
Webtrends
XML Databases
ZooKeeper

Conclusion:

While watching the ad campaigns, the audience may make too many comments and compliments. Am I right? However, for businesses, it is necessary to monitor and control the performance of the ad campaigns to reach the audience’s expectations. To do that, one should need to analyze the analytics of the ad campaign to improve the performance in the next phase. Knowledge of the analytics glossary can let you better understand your business activity.

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