Firebase. Предмет и область применения — Тимур Ахметгареев
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Firebase provides tools to improve mobile app development and user experience. It offers analytics, notifications, remote config and other services to help developers better understand users, roll out changes, and run A/B tests. While the documentation and capabilities continue expanding, some limitations include historical audience data and lack of audience comparison tools. Overall, Firebase is a full-featured platform that simplifies the development process and allows extensive analysis of user behavior.
![Dynamic Links Manual building
• https://domain/?link=your_deep_link&apn=
package_name[&amv=minimum_version][
&ad=1][&al=android_link][&afl=fallback_lin
k]
• &d=1 – use for debug
Analytics auto events:
• dynamic_link_first_open
• dynamic_link_app_open
• dynamic_link_app_update](https://image.slidesharecdn.com/gdgmakhachkala-copy-copy-170131084415/85/Firebase-5-320.jpg)
Firebase. Предмет и область применения — Тимур Ахметгареев
- 1. Firebase Timur Akhmetgareev Android Lead App in the Air Inc. Moscow
- 3. Dynamic Links Key Capabilities
- 4. Dynamic Links Key Capabilities
- 5. Dynamic Links Manual building • https://domain/?link=your_deep_link&apn= package_name[&amv=minimum_version][ &ad=1][&al=android_link][&afl=fallback_lin k] • &d=1 – use for debug Analytics auto events: • dynamic_link_first_open • dynamic_link_app_open • dynamic_link_app_update
- 6. Dynamic Links Key Capabilities Dynamic Links Branchmetrics FA|GA integration + - Passing data to app Deeplinks only Payloads Play Store advances onboarding (continue button, update if needed) + - Show user app content before install - + Influencers - + URL shortener available programmatically (from app) In process -
- 7. App Invites • Limited to email or SMS • Share implementation with Dynamic links Pros: • Easy to implement Cons: • No referrer efficiency tracking
- 8. App Indexing • User personal content indexing is coming! • App only indexing is in deep beta • User’s personal content indexing is coming!
- 11. Analytics Key Capabilities Custom collecting • Up to 500 unique events with 25 attributes (former label) • 25 user properties (former dimensions) Unique features • Audiences • Integration with FRC, FCR, FN, Big query, Google Tag manager • Completely free
- 12. Analytics Key Capabilities • Audiences (Segments) • Funnels • Attribution • Cohorts • Dashboard to Rule them all • Events out of the box • Export to BigQuery
- 13. Analytics Key Capabilities • first_open • in_app_purchase • session_start • app_update • app_remove • os_update • app_clear_data • app_exception • notification_foreground • notification_receive • notification_open • notification_dismiss • dynamic_link_first_open • dynamic_link_app_open • dynamic_link_app_update • user_engagement
- 14. Analytics Events
- 16. Analytics Dashboard • Activity graph (users/days) • APRU, APPRU • Interests • App version • Demographics • Location (by sessions) • In-apps revenue • Devices, app version • User engagement
- 19. Analytics Funnels We start to analyze different audience effectiveness, trying various age groups, OS versions and • 1. Start filtering by user properties, looking through the parameters we can use for advertising. • 2. Compare them to the main funnel. Achieved results: a. 18-24 years old have 2.1 times better conversion rate to adding flights & 1.51 times better purchase conversion b. OS version 6.0.1 has 1.96 times bigger add flight conversion & 1.37 times better purchase conversion
- 20. Analytics Funnels: OS 6.0.1
- 21. Analytics Funnels: OS 5.1.1
- 22. BigQuery • Predictions API • Machine learning • Data Studio Usage example: Analyze behavior of users that’ve removed the app to predict users that most probably would delete app in the nearest future.
- 23. DataStudio Samples • GA Dashboard • Data Studio • Youtube Channel • AdWords • Custom reports
- 24. DataStudio Data Sources • Google Attribution 360 • Google Analytics • BigQuery (Including Firebase) • CloudSQL • Google Sheets • MySQL • Youtube Analytics
- 32. App in the Air Personal travel assistant app. Presented as an Android, iOS & WP apps with: 1. Flight-based travel tools (via widgets) 2. Platform: SDK for third-party developers 3. Person’s travel profile “Vital” metrics monitored on a daily basis: 1. Retention 2. Purchase conversion rate 3. Users’ rating
- 40. Firebase Notifications Key Capabilities • Context-awareness user-engagement tool • Automatic evaluation of results • Easy to use • And much more in the future slides
- 41. Every target group addition, every new parameter to meter costs lots of dev time. Google Tag Manager is slow, less flexible and too buggy.
- 42. Remote Config
- 43. FRC Key Capabilities • Quickly roll out changes to your app's userbase • Customize your app for segments of your user base • Run A/B tests to improve your app
- 44. Remote Config Rule Type Operation(s) Value(s) User in random percentile <=, > 0-100 OS type == iOS, Android Device in region/country == Select one or more regions or countries App ID == Select from a list of App IDs for apps associated with your Firebase project. App version exactly matches, contains, does not contain, regular expression Enter a value to specify a specific version of your app. Device language == Select one or more languages. User in audience == Select from a list of Firebase Analytics audiences that you have set up for your project.
- 47. Remote Config 1. Audience: iOS+specific country Action: set different price tiers for different countries on iOS 2. Audience: app_exception Action: small gifts|promo for those, who experienced troubles with the app. Some special achievement|status etc. 3. Audience: may vary Action: changing buyscreen appearance dynamically without app update 4. Audience: spending targeting (e.g. spent 75$ on lifetime subscription) Action: show more expensive hotels for lifetime subscribers Control Access for features (enable|disable remotely)
- 48. Known problems: 1. Historical Audiences 2. Unfilterable cohorts 3. No audience comparison by any means 4. No audience subtraction 5. issues
- 49. Summary
- 50. Target audience: 1. Newbies 2. Prototypes/pet projects 3. Startups (early stage) 4. BigQuery experienced users
- 51. Summary: 1. Improve target user audience understanding 2. Improve user experience 3. Simplify function iteration process: • A/B tests & result estimation • Estimate efficiency of new functions 4. Extend abilities to analyze user behavior with automated tools (ML or Predictions API)
- 52. Summary from dev perspective: 1. Fantastic support team 2. Frequent updates 3. Cross-platform easy to use tool 4. Analytics for mobile 5. Extended abilities in analyzing users’ behavior with automated tools (ML or Predictions API) 6. Bright future & lot’s of opportunities today 7. Documentation!
- 53. Why do they do it: 1. Development for everyone 2. Analytics introduction: from default config to advanced skills 3. Young blood 4. Getting into iOS market 5. ML concepts popularization