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Firebase Analytics SDK Adds EU Consent Policy Support

Firebase Analytics SDK Adds EU Consent Policy Support

9 months ago

The Firebase Analytics SDK now supports the "eu_consent_policy" value for ad_user_data and ad_personalization, aligning with updates to consent mode for traffic in the European Economic Area (EEA). This means consent is denied only for users in regions subject to the EU User Consent Policy.

Firebase Android SDK 22.0.0 Adds Infrastructure Support for Server-Side Google Tag Manager

Firebase Android SDK 22.0.0 Adds Infrastructure Support for Server-Side Google Tag Manager

10 months ago

Firebase Android SDK (22.0.0) includes infrastructure support for integrating Firebase SDK with server-side Google Tag Manager. Documentation is currently unavailable, suggesting this might be a preliminary release with the full feature or deployment option coming later. There is no similar release note for iOS.

Simo Ahava
Simo Ahava

Top Creator

Top Analytics Creator

Simo Ahava is a Top Analytics Creator. Part of Swipe Insight Select, a curated list of top creators.

Top Analytics Creator
Mobile App Tracking: The Role of SDKs and Firebase in User Interaction Analytics

Mobile App Tracking: The Role of SDKs and Firebase in User Interaction Analytics

1 years ago

Mobile app tracking is embedded in the app's codebase, using SDKs for user interaction tracking. The choice of SDKs is business-specific. Firebase SDK is often added to app projects. Firebase Analytics was used to track events and analyze user behavior. Firebase SDK remains crucial for data collection. The setup process is platform-specific, needing different configurations for iOS and Android.

Tired of spending too much time creating audits for your clients?

Tired of spending too much time creating audits for your clients?

Featured

Marketing Auditor simplifies your audit process, letting you generate comprehensive, white-label reports in just a few clicks. Save over 10 hours per report while analyzing 200+ data points and delivering 50+ pages of actionable insights. Customize reports with professional themes or your own branding, and export them in editable formats like PowerPoint or Google Slides to showcase your expertise.

Building Smart Data Pipeline with Firestore, LangChain, and BigQuery

Building Smart Data Pipeline with Firestore, LangChain, and BigQuery

1 years ago

AI BigQuery +1 more

The author explains how to build a data pipeline for transferring user data from Firestore to BigQuery and retrieving company information from work emails. The process involves using Firebase Functions for data transformation, classifying emails, extracting company domain from work emails, and using LangChain + GPT-4 to scrape and process the company's homepage content. The pipeline is used for the author's website, Sphinx Mind.

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