Get statistics by category
/v1/email/stats/categoriesconst { data } = await bird.email.stats.byCategory({ from: "2026-05-01", to: "2026-05-31" });
for (const row of data) console.log(row.category, row.delivery.delivered);stats = client.email.stats.by_category(from_="2026-05-01", to="2026-05-25")
for row in stats.data:
print(row)stats, err := client.Email.Stats.ByCategory(context.Background(), bird.EmailStatsByCategoryParams{})
if err != nil {
log.Fatal(err)
}
fmt.Println(stats.Data)$stats = $bird->email->stats->byCategory(['from' => '2026-05-01', 'to' => '2026-05-31']);
foreach ($stats->getData() ?? [] as $row) {
echo $row->getCategory(), ' ', $row->getDelivery()?->getDelivered(), "\n";
}bird email stats by-categorycurl -X GET "https://us1.platform.bird.com/v1/email/stats/categories" \
-H "Authorization: Bearer $TOKEN" \
--url-query "sort=processed" \
--url-query "limit=50" \
--url-query "include_trend=false" \
--url-query "trend_grain=daily"{
"period": {
"from": "2026-05-01",
"to": "2026-05-25",
"data_as_of": "2026-05-25T14:03:10Z"
},
"data": [
{
"category": "transactional",
"delivery": {
"accepted": 14820,
"processed": 14810,
"delivered": 14720,
"bounced": 90,
"bounces": {
"hard": 12410,
"soft": 14290,
"admin": 410,
"block": 920,
"undetermined": 80,
"hard_rate": 0.454,
"soft_rate": 0.523,
"admin_rate": 0.015,
"block_rate": 0.0337,
"undetermined_rate": 0.0029
},
"complained": 3,
"deferred": 14,
"rejected": 10,
"oob_bounces": 2,
"effective_delivered": 14718,
"all_bounces": 92,
"oob_rate": 0.00014,
"delivery_rate": 0.9939,
"bounce_rate": 0.0061,
"complaint_rate": 0.0002
},
"engagement": {
"opens": 5420,
"opens_non_prefetched": 3210,
"unique_opens": 3640,
"unique_opens_non_prefetched": 2480,
"clicks": 924,
"unique_clicks": 621,
"unsubscribes": 12,
"open_rate": 0.1683,
"click_rate": 0.0422,
"unsubscribe_rate": 0.0009
},
"latency": {
"processing": {
"p50_ms": 420,
"p95_ms": 1820,
"p99_ms": 4920
},
"delivery": {
"p50_ms": 420,
"p95_ms": 1820,
"p99_ms": 4920
},
"total": {
"p50_ms": 420,
"p95_ms": 1820,
"p99_ms": 4920
}
},
"trend": [
{
"bucket": "2026-05-12"
}
]
}
],
"total": 2,
"next_cursor": "eyJ2IjoxLCJzIjoiXCIyMDI2LTA1LTI1VDE0OjAzOjEwWlwiIiwiaSI6IjAxOTJmM2IxLTRjN2UtN2EyYi05ZDYxLThmM2E1YzJlN2I0MCJ9",
"prev_cursor": null,
"refresh_cursor": "eyJ2IjoxLCJzIjoiXCIyMDI2LTA1LTI1VDE2OjQyOjAxWlwiIiwiaSI6IjAxOTJmM2IxLTllMDQtN2NkMy1iODE3LTJhNmY0ZDFjOGUwOSJ9"
}
Returns delivery and engagement counts for the requested period, grouped by category, so you can compare deliverability and engagement between your transactional and marketing traffic. Rows are ranked by the sort metric, processed by default, and paginated with the requested limit (50 by default, 200 at most).
Rows are computed against event time rather than send time, so engagement received during the period counts even for messages that were sent earlier.
The window can span at most 365 days. Ask for more and you get a 422.
Abfrageparameter
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). It defaults to 30 days before to when you leave it out. When include_trend=true and trend_grain=hourly, that default tightens to 29 days before to instead, so the defaulted window still fits inside the 720-hour trend cap.
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.
sortstringMetric to rank rows by, applied descending. Any count or rate in the response can be used. A row whose rate is undefined because its denominator is zero sorts last. It defaults to processed.
Possible values: processed, delivered, bounced, complained, deferred, rejected, oob_bounces, bounces.hard, bounces.soft, bounces.admin, bounces.block, bounces.undetermined, opens, opens_non_prefetched, unique_opens, unique_opens_non_prefetched, clicks, unique_clicks, unsubscribes, delivery_rate, bounce_rate, complaint_rate, open_rate, click_rate, unsubscribe_rate, bounces.hard_rate, bounces.soft_rate, bounces.admin_rate, bounces.block_rate, bounces.undetermined_rate
limitintegerMaximum number of category rows to return, ranked by the sort field descending.
include_trendbooleanWhen true, each row also gets a trend array: a short per-bucket series showing that category's delivery and engagement rates over the window. This only works when limit is 50 or fewer and the window is at most 90 days for trend_grain=daily or 720 hours for trend_grain=hourly. Ask for more and you get a 422. When you leave from out and use trend_grain=hourly, the default window tightens to 29 days before to (720 hours total), so a request built entirely from defaults always fits inside the cap.
trend_grainstringBucket grain for the trend series. Has no effect unless include_trend=true.
Possible values: daily, hourly
Antwort-Payload
periodThe date range the response covers (echoed back from the request), plus data_as_of, the freshness boundary the data is current to.
dataCategory breakdown rows, ranked by the sort metric (default processed) descending. Empty when no sends occurred in the period.
Untergeordnete Attribute anzeigen
data.categoryThe category this row aggregates, as set at send time. transactional is one-to-one mail triggered by a user action. marketing is bulk sending. New categories may be added over time.
data.deliverydata.engagementUntergeordnete Attribute anzeigen
data.engagement.opensDistinct open events, counting repeat opens from the same recipient and opens auto-fetched by inbox privacy features (such as Apple Mail Privacy Protection and the Gmail image proxy).
data.engagement.opens_non_prefetchedDistinct open events excluding those auto-fetched by inbox privacy features. Same event-counting semantics as opens (repeat opens from the same recipient count separately), with prefetched opens removed.
data.engagement.unique_opensDistinct recipients who opened at least once, including opens auto-fetched by inbox privacy features.
data.engagement.unique_opens_non_prefetchedDistinct recipients who opened at least once, excluding opens auto-fetched by inbox privacy features. This is the numerator used for open rate, so iOS-heavy audiences (Apple Mail Privacy Protection and similar) do not inflate it.
data.engagement.clicksDistinct click events, counting repeat clicks from the same recipient.
data.engagement.unique_clicksDistinct recipients who clicked at least once.
data.engagement.unsubscribesDistinct unsubscribe events, recorded via the list-unsubscribe header or the footer link.
data.engagement.open_rateDistinct non-prefetched openers relative to effectively delivered recipients in the same scope, computed as unique_opens_non_prefetched / delivery.effective_delivered; on rows without an effective_delivered field (the mailbox-provider breakdowns) the denominator equals delivery.delivered. The numerator excludes opens auto-fetched by inbox privacy features. Opens are attributed by event time, so engagement earned by earlier deliveries can push the rate above 1. Null when the denominator is zero.
data.engagement.click_rateDistinct clickers relative to effectively delivered recipients in the same scope, computed as unique_clicks / delivery.effective_delivered (delivery.delivered on rows without an effective_delivered field). Clicks are attributed by event time, so engagement earned by earlier deliveries can push the rate above 1. Null when the denominator is zero.
data.engagement.unsubscribe_rateUnsubscribe events relative to effectively delivered recipients in the same scope, computed as unsubscribes / delivery.effective_delivered (delivery.delivered on rows without an effective_delivered field). Unsubscribes are attributed by event time, so the rate can exceed 1. Null when the denominator is zero.
data.latencydata.trendPer-bucket rate series for this category over the window. Present only when include_trend=true.
totalTotal number of distinct categories 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.
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