Get engagement by email client
/v1/email/stats/clientsconst { data } = await bird.email.stats.byClient({
from: "2026-05-01",
to: "2026-05-31",
limit: 25,
});
for (const row of data) console.log(row.email_client, row.engagement.unique_opens);stats = client.email.stats.by_client(
from_="2026-05-01", to="2026-05-25", group_by="email_client",
)
for row in stats.data:
print(row)stats, err := client.Email.Stats.ByClient(context.Background(), bird.EmailStatsByClientParams{
GroupBy: "email_client",
})
if err != nil {
log.Fatal(err)
}
fmt.Println(stats.Data)$stats = $bird->email->stats->byClient([
'from' => '2026-05-01',
'to' => '2026-05-31',
'limit' => 25,
]);
foreach ($stats->getData() ?? [] as $row) {
echo $row->getEmailClient(), ' ', $row->getEngagement()?->getUniqueOpens(), "\n";
}bird email stats by-clientcurl -X GET "https://us1.platform.bird.com/v1/email/stats/clients" \
-H "Authorization: Bearer $TOKEN" \
--url-query "group_by=email_client" \
--url-query "sort=unique_opens" \
--url-query "limit=50"{
"period": {
"from": "2026-05-01",
"to": "2026-05-25",
"data_as_of": "2026-05-25T14:03:10Z"
},
"data": [
{
"email_client": "Apple Mail",
"os": "iOS",
"device_type": "mobile",
"engagement": {
"opens": 5420,
"opens_non_prefetched": 3210,
"unique_opens": 3640,
"unique_opens_non_prefetched": 2480,
"clicks": 924,
"unique_clicks": 621
}
}
],
"total": 9,
"next_cursor": "eyJ2IjoxLCJzIjoiXCIyMDI2LTA1LTI1VDE0OjAzOjEwWlwiIiwiaSI6IjAxOTJmM2IxLTRjN2UtN2EyYi05ZDYxLThmM2E1YzJlN2I0MCJ9",
"prev_cursor": null,
"refresh_cursor": "eyJ2IjoxLCJzIjoiXCIyMDI2LTA1LTI1VDE2OjQyOjAxWlwiIiwiaSI6IjAxOTJmM2IxLTllMDQtN2NkMy1iODE3LTJhNmY0ZDFjOGUwOSJ9"
}
Returns engagement counts (opens and clicks) for the requested period, grouped by the email client, operating system, or device type they were recorded from. Use it for the classic view of opens by mail client, for example the share of opens from Apple Mail compared with Gmail and Outlook. The reading environment is only known from open and click events, so rows have engagement counts but no delivery counts or rates.
Use group_by to choose the facet: email_client (the default), os, or device_type. Each row fills in the facet you chose and leaves the other two null. Rows are ranked by the sort metric, unique_opens by default, and paginated with the requested limit (50 by default, 200 at most).
Rows are computed against event time rather than send time. The window can span at most 365 days. Ask for more and you get a 422.
Parameter Kueri
starting_afterstringCursor from the next_cursor field of a previous list response. Returns items immediately after the cursor position in the current sort order.
ending_beforestringCursor from the prev_cursor or refresh_cursor field of a previous list response. Returns items immediately before the cursor position in the current sort order. prev_cursor returns the preceding page. refresh_cursor anchors at the first row of that response, which on a newest-first sort is how to fetch the items that have appeared since.
fromstringStart date (inclusive) in YYYY-MM-DD, interpreted as a calendar day in timezone (a UTC day when timezone is omitted). Defaults to 30 days before to when omitted.
tostringEnd date (inclusive) in YYYY-MM-DD, interpreted as a calendar day in timezone (a UTC day when timezone is omitted). Defaults to today in that timezone when omitted. Window may not exceed 365 days.
timezonestringIANA timezone identifier used to group statistics, for example Asia/Kathmandu. The default is UTC. Day and hour boundaries, including the default window when from and to are omitted, follow this timezone. When this parameter is set, pass from and to as calendar days or Z instants instead of timestamps with explicit UTC offsets.
categorystringNot supported on breakdown endpoints; supplying it returns 422. To compare categories use GET /v1/email/stats/categories; the summary, daily, and hourly statistics accept category as a filter.
group_bystringWhich reading-environment facet to group rows by. email_client (default) groups by mail client; os groups by operating system; device_type groups by device type. Each row populates the chosen facet and leaves the other two null.
Possible values: email_client, os, device_type
sortstringMetric to rank rows by, applied descending. It defaults to unique_opens. Only engagement counts are sortable. This breakdown has no rates.
Possible values: opens, opens_non_prefetched, unique_opens, unique_opens_non_prefetched, clicks, unique_clicks
limitintegerMaximum number of client rows to return, ranked by the sort field descending.
Payload Respons
periodThe date range the response covers (echoed back from the request), plus data_as_of, the freshness boundary the data is current to.
dataClient breakdown rows, ranked by the sort metric (default unique_opens) descending. Empty when no opens or clicks with a detected client occurred in the period.
totalTotal number of distinct values of the requested group_by facet with activity in the period, regardless of limit. Pass next_cursor as starting_after to request the next page.
next_cursorCursor for the next page. Pass back as starting_after to advance forward. null when no next page exists.
prev_cursorCursor for the previous page. Pass back as ending_before to step backward. null when no previous page exists.
refresh_cursorRefresh anchor, the first row of this response. Pass back as ending_before to fetch what precedes it in the current sort order. On a newest-first sort those are the items that have appeared since; on any other sort they are the items that sort earlier, so refreshing such a list means re-fetching it instead. Non-null whenever data is non-empty; null only on an empty page. Distinct from prev_cursor.
Sumber daya terkait
Lanjutkan dengan dokumentasi, panduan, dan contoh untuk topik ini.