Klar ios
metric-hub
Pre-defined metrics for klar_ios. These metrics are defined in metric-hub
baseline_ping_count
Baseline pings
Counts the number of baseline pings received from each client.
Data Source: baseline
Definition:
COUNT(document_id)
metric_ping_count
Metrics pings
Counts the number of metrics pings received from each client.
Data Source: metrics
Definition:
COUNT(document_id)
first_run_date
First run date
The earliest first-run date reported by each client.
Data Source: baseline
Definition:
MIN(client_info.first_run_date)
active_hours
Active Hours
Total time Firefox was active
Data Source: baseline
Definition:
COALESCE(SUM(metrics.timespan.glean_baseline_duration.value), 0) / 3600.0
days_of_use
Days of use
The number of days in an observation window that clients used the browser.
Data Source: baseline
Definition:
COUNT(DISTINCT DATE(submission_timestamp))
ad_clicks
Ad Clicks
Counts clicks on ads on search engine result pages with a Mozilla partner tag.
Data Source: mobile_search_clients_engines_sources_daily
Definition:
{{agg_sum('ad_click')}}
ad_clicks_organic
Ad Clicks through organic traffic
Counts clicks on ads on search engine result pages that are not tagged with an eligible Mozilla partner code.
Data Source: mobile_search_clients_engines_sources_daily
Definition:
{{agg_sum('ad_click_organic')}}
searches_with_ads_organic
Organic Search With Ads Count
Total number of Organic Search With Ads Counts
Data Source: mobile_search_clients_engines_sources_daily
Definition:
{{agg_sum('search_with_ads_organic')}}
search_count
SAP search count
Number of searches performed through a Search Access Point.
Data Source: mobile_search_clients_engines_sources_daily
Definition:
{{agg_sum('search_count')}}
tagged_search_count
Tagged SAP searches
Counts the number of searches a user performed through Firefox's Search Access Points that were submitted with a partner code and were potentially revenue-generating. Learn more in the search data documentation.
Data Source: mobile_search_clients_engines_sources_daily
Definition:
{{agg_sum('tagged_sap')}}
tagged_follow_on_search_count
Tagged follow-on searches
Counts the number of follow-on searches with a Mozilla partner tag. These are additional searches that users performed from a search engine results page after executing a tagged search through a SAP. Learn more in the search data documentation.
Data Source: mobile_search_clients_engines_sources_daily
Definition:
{{agg_sum('tagged_follow_on')}}
organic_search_count
Organic searches
Counts organic searches, which are searches that are not performed through a Firefox SAP and which are not monetizable. Learn more in the search data documentation.
Data Source: mobile_search_clients_engines_sources_daily
Definition:
{{agg_sum('organic')}}
searches_with_ads
Search result pages with ads (a.k.a. Ad Impressions) both tagged and organic
Counts search result pages served with advertising. Users may not actually see these ads thanks to e.g. ad-blockers. Learn more in the search analysis documentation.
Data Source: mobile_search_clients_engines_sources_daily
Definition:
{{agg_sum("search_with_ads")}}
engagement_rate_v1
Klar iOS Engagement Rate
The Engagement Rate is calculated as the ratio between DAU and MAU. For each day, we use the single-day DAU number and divide it by the MAU corresponding to the 28-day period ending on that day. For OKR reporting, we then calculate a 28-day moving average of this number. More information is provided on the New Profiles, Retention and Engagement Rate Confluence Page.
Data Source: klar_ios_engagement_view
Definition:
SUM(dau) / SUM(mau)
retention_rate_v1
Klar iOS Retention Rate
The Retention Rate is calculated as the proportion of clients that are active on the 4th week after the metric date.
Data Source: klar_ios_retention_view
Definition:
SUM(retained_week_4) / SUM(active_metric_date)
new_profile_retention_rate_v1
Klar iOS New Proflie Retention Rate
The New Profile Retention Rate is calculated as the proportion of new profiles that are active on the 4th week after the metric date. More information is provided on the New Profiles, Retention and Engagement Rate Confluence Page.
Data Source: klar_ios_retention_view
Definition:
SUM(retained_week_4_new_profiles) / SUM(new_profiles_metric_date)
client_level_daily_active_users_v1
Klar iOS Client-Level DAU
Client-level DAU. The logic is
detailed on the Confluence DAU page
and is automatically cross-checked, actively monitored, and change controlled.
This metric needs to be aggregated by submission_date. If it is not aggregated by submission_date, it is
similar to a "days of use" metric, and not DAU.
Data Source: klar_ios_active_users_view
Definition:
COUNTIF(is_dau)