While tools/services one uses depend on the need and several other factors. I will share a few popular ones often used by Digital Analytics professionals.
- Web/App Analytics – Google Analytics, Adobe Analytics, GA(App+Web, Firebase)
- Dynamic Tag Management – Google Tag Manager, Adobe Launch, Tealium, Ensighten
- Analysis – Excel, SAS
- Debugging dataLayer – DataLayer Checker, GA Debugger, FB pixel helper
- Reporting & Visualization – Google Data Studio, Tableau, PowerBI, Tibco Spotfire
- Product/Event Analytics – Mixpanel, GA(App+Web)
- Engagement/Marketing Automation – WebEngage, MoEngage
- App Attribution – Appsflyer, Branch
- Session Recording – Hotjar, Full Story
- Marketing warehouse – Google Bigquery
- Email – Mailchimp, Sendgrid / SES
- CRM – Hubspot, Salesforce
- CDP – Segment
To dig deeper into data/Tech
- API Testing – Postman
- Data Lake – S3, GCS
- Data Warehouse – Postgres, Redshift
- ETL – AWS Glue
- Querying S3 data lake – Amazon Athena
- VCS – Git
- Executing code – Jupyter Notebook(Python), R Studio(R)
- Hosting Notebooks – Google Colab
- SQL Client – Dbeaver (connect/query DWH)
- Editor – VS Code, Sublime T3
In the future, I will share more example, Feel free to comment that which tool you use and why.
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