Tracking& Analysis WEB & APP

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Tracking& Analysis WEB & APP by Mind Map: Tracking& Analysis  WEB & APP

1. Firebase

1.1. google tag manager& integrations

1.1.1. google analytics web&app

1.1.2. google ads

1.1.3. floodlight

1.1.4. modify and change firebase events

1.2. analytics

1.2.1. events

1.2.1.1. automatic events

1.2.1.2. custom events

1.2.1.3. conversion events

1.2.2. ecommerce

1.2.2.1. product impressions

1.2.2.2. product clicks

1.2.2.3. product detail views

1.2.2.4. addtoCart

1.2.2.5. removeFrom Cart

1.2.2.6. Checkout Prozess

1.2.2.6.1. checkout options

1.2.2.7. transactions

1.2.2.8. refunds

1.2.3. screenviews

1.2.4. userproperties

1.2.5. audiences

1.3. crashlytics

1.3.1. app distribution

1.4. cloud messaging

1.4.1. UI

1.4.2. backend

1.5. real time database

1.6. remote config

1.6.1. release of certain features to audiences

1.6.2. basics for ab testing

1.7. predictions

1.7.1. churn prediction

1.7.2. conversion probability

1.7.3. logout

1.7.4. custom

1.8. extensions

1.8.1. image resizer

1.9. inAPP Messaging

1.10. dynamic linking

1.11. cloud functions

1.12. integrations

1.12.1. bigquery

1.12.1.1. notifications

1.12.1.2. Analytics

1.12.1.3. crashlytics

1.12.1.4. predictions

1.12.1.5. performance monitoring

1.12.2. DV360

1.12.3. Google Play

1.12.4. Fabric

1.12.5. Google Analytics

1.12.6. AdMob

1.13. ML Kit

1.13.1. image labelling

1.13.2. barcode scanning

1.13.3. translation

1.13.4. languageID

1.13.5. smart reply

1.13.6. autoML vision

1.13.7. text recognition

2. Google Tag Manager

2.1. Google Analytics

2.2. Google Web&APP

2.3. Doubleclick Floodlights

2.3.1. transaction

2.3.2. custom conversion

2.3.2.1. everything you want to have as a converseions

2.3.3. all user

2.3.3.1. product level retargeting

2.3.3.2. category level retargeting

2.3.4. productview

2.4. 3rd Party Tags

2.4.1. schober

2.4.2. facebook

2.4.3. affiliate

2.4.3.1. affilinet

2.4.3.2. tradedoubler

3. Google Cloud

3.1. BigQuery

3.1.1. DATA TABLES

3.1.1.1. Google Analytics

3.1.1.2. Doubleclick DV360

3.1.1.2.1. campaign manager

3.1.1.2.2. DV 360

3.1.1.2.3. not offline reportings aus DCM

3.1.1.3. firebase

3.1.1.3.1. analytics

3.1.1.3.2. crashlytics

3.1.1.3.3. notifications

3.1.1.3.4. predictions

3.1.1.4. Search Ads

3.1.1.5. Merchant Center

3.1.1.6. playstore

3.1.2. SQL

3.1.3. BQ machine learning

3.1.4. data transfer

3.1.5. streaming inserts

3.2. AI Hub

3.2.1. Jupyter Notebook

3.2.2. ML Tables

3.3. Cloud Storage

3.3.1. batch insert

3.4. CRMint

3.5. DataPrep

3.5.1. like python pandas with airflow

3.6. ads data hub

3.6.1. sql hub for all campaign data

4. Google Optimize

4.1. ABn Tests

4.1.1. SplitURL Test

4.1.2. AB Testing

4.1.3. MV Test

4.2. Segmentation/Personalisation

4.2.1. Audience Based segmentation

4.2.2. keyword level personaliation

5. Google Survey

5.1. Umfragen auf der eigenen Website

5.2. Umfragen auf der eigenen APP

5.3. Umfragen auf externen Website

6. Google Analytics

6.1. enhanced ecommerce

6.1.1. product impressions

6.1.2. product clicks

6.1.3. product detailviews

6.1.4. addtoCart

6.1.5. removeFromCart

6.1.6. Checkout Process

6.1.6.1. Checkout Options

6.1.7. Transactions

6.1.8. Refunds

6.1.8.1. to adjust to additional products afer sale

6.1.8.2. to delete remove products after transaction

6.2. events

6.2.1. register

6.2.2. outgoing

6.2.3. shoppinglist

6.3. pageviews

6.4. pageload datalayer

6.5. audiences

6.6. import

6.6.1. crm

6.6.2. pim/product

6.6.3. campaign

6.6.4. geo

6.7. integrations

6.7.1. dv360

6.7.2. search ads

6.7.3. search console

6.7.4. bigquery

6.7.5. ad manager