Get statistics by template
/v1/email/stats/templatesconst { data } = await bird.email.stats.byTemplate({
from: "2026-05-01",
to: "2026-05-31",
sort: "open_rate",
limit: 25,
});
for (const row of data) console.log(row.template_id, row.engagement.open_rate);stats = client.email.stats.by_template(from_="2026-05-01", to="2026-05-25")
for row in stats.data:
print(row)stats, err := client.Email.Stats.ByTemplate(context.Background(), bird.EmailStatsByTemplateParams{})
if err != nil {
log.Fatal(err)
}
fmt.Println(stats.Data)$stats = $bird->email->stats->byTemplate([
'from' => '2026-05-01',
'to' => '2026-05-31',
'sort' => 'open_rate',
'limit' => 25,
]);
foreach ($stats->getData() ?? [] as $row) {
echo $row->getTemplateId(), ' ', $row->getEngagement()?->getOpenRate(), "\n";
}bird email stats by-templatecurl -X GET "https://us1.platform.bird.com/v1/email/stats/templates" \
-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": [
{
"template_id": "emt_01krdgeqcxet5s7t44vh8rt9mg",
"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": 42,
"next_cursor": "eyJ2IjoxLCJzIjoiXCIyMDI2LTA1LTI1VDE0OjAzOjEwWlwiIiwiaSI6IjAxOTJmM2IxLTRjN2UtN2EyYi05ZDYxLThmM2E1YzJlN2I0MCJ9",
"prev_cursor": null,
"refresh_cursor": "eyJ2IjoxLCJzIjoiXCIyMDI2LTA1LTI1VDE2OjQyOjAxWlwiIiwiaSI6IjAxOTJmM2IxLTllMDQtN2NkMy1iODE3LTJhNmY0ZDFjOGUwOSJ9"
}
Returns aggregate delivery and engagement counts grouped by the template each message was sent with, so a template's deliverability and engagement can be compared side by side. Attribution is by the template used at send time; only messages sent with a template appear here, so a workspace that has sent none returns an empty list rather than an error. Each row is keyed by the template ID (emt_…); a template deleted after sending still appears by its ID.
Rows are ranked by the sort metric (default processed) descending and paginated with the requested limit (default 50, hard maximum 200). Rows are computed against event time (not send time), so engagement received during the period for messages sent earlier is included.
The maximum window is 365 days; requesting a longer range returns 422.
Query Parameters
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; with include_trend=true and trend_grain=hourly the default tightens to 29 days before to, keeping the defaulted window within 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.
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.
sortstringMetric to rank rows by, applied descending. Any count or rate in the response may be used; rows whose rate is undefined (zero denominator) sort last. 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 template rows to return, ranked by the sort field descending.
include_trendbooleanWhen true, each row also has a trend array: a short per-bucket series of that template's delivery and engagement rates over the window. Returned only when limit is 50 or fewer and the window is at most 90 days (trend_grain=daily) or 720 hours (trend_grain=hourly); a larger request returns 422. When from is omitted and trend_grain=hourly, the default start tightens to 29 days before to, keeping the window inside 720 hours, so a request built entirely from defaults always fits the cap.
trend_grainstringBucket grain for the trend series. Has no effect unless include_trend=true.
Possible values: daily, hourly
Response Payload
periodThe date range the response covers (echoed back from the request), plus data_as_of, the freshness boundary the data is current to.
Show child attributes
period.fromInclusive start date the response covers (YYYY-MM-DD).
period.toInclusive end date the response covers (YYYY-MM-DD).
period.data_as_ofThe instant the statistics in this response are current to: events recorded up to roughly this time are reflected, while more recent events may not be yet. Statistics are served from a rolling aggregation that refreshes every few seconds, so a response reflects data from up to a few seconds ago. Use this field to label data freshness (for example "as of 14:03") rather than assuming the numbers are to-the-second. Null when the freshness boundary is not being reported.
dataTemplate breakdown rows, ranked by the sort metric (default processed) descending. Empty when no messages were sent with a template in the period.
Show child attributes
data.template_idThe template this row is about, using the same id the email template endpoints return. Only messages sent with a template appear in this breakdown at all. If the template was deleted after it was used to send, this row still appears, keyed by that same id.
data.deliveryShow child attributes
data.delivery.acceptedDistinct recipients accepted for delivery after suppression filtering. Reported on time buckets and the period summary. Breakdown rows leave it out, because their rollups do not have it.
data.delivery.processedDistinct recipients whose message was processed and handed off for delivery.
data.delivery.deliveredDistinct recipients whose message the receiving mail server accepted.
data.delivery.bouncedDistinct recipients whose delivery failed. This is approximately the sum of the five bounces.* sub-counts (hard, soft, admin, block, undetermined). The two totals are worked out independently, so they can differ slightly.
data.delivery.bouncesShow child attributes
data.delivery.bounces.hardDistinct recipients with a permanent delivery failure (invalid address or non-existent domain).
data.delivery.bounces.softDistinct recipients with a transient delivery failure (mailbox full or server temporarily unavailable).
data.delivery.bounces.adminDistinct recipients refused by a policy at the receiving end, such as relaying denied or a blocklisted domain.
data.delivery.bounces.blockDistinct recipients bounced because the receiving mail server blocked the sending IP for reputation reasons.
data.delivery.bounces.undeterminedDistinct recipients bounced where the receiving server's response did not allow precise classification.
data.delivery.bounces.hard_rateFraction of bounced recipients that hard bounced, computed as hard / bounced. Null when bounced is zero.
data.delivery.bounces.soft_rateFraction of bounced recipients that soft bounced, computed as soft / bounced. Null when bounced is zero.
data.delivery.bounces.admin_rateFraction of bounced recipients that admin bounced, computed as admin / bounced. Null when bounced is zero.
data.delivery.bounces.block_rateFraction of bounced recipients that block bounced, computed as block / bounced. Null when bounced is zero.
data.delivery.bounces.undetermined_rateFraction of bounced recipients with undetermined classification, computed as undetermined / bounced. Null when bounced is zero.
data.delivery.complainedDistinct recipients who reported the message as spam via a feedback loop.
data.delivery.deferredDistinct recipients whose delivery the receiving server temporarily delayed and is still being retried.
data.delivery.rejectedDistinct recipients rejected before any delivery attempt. Includes recipients on the workspace suppression list, transmissions that could not be completed, message-generation failures, and recipients refused by sending policy. The per-recipient rejection_reason field on GET /v1/email/messages/{message_id}/recipients surfaces the specific cause.
data.delivery.oob_bouncesOut-of-band bounce events: distinct failure notifications received after the receiving server had initially confirmed delivery. The count represents deduplicated events rather than unique recipients.
data.delivery.effective_deliveredRecipients who remain delivered after all bounce signals resolve, computed as delivered - oob_bounces. Use this as the base for engagement-rate denominators. Clamped to 0 when oob_bounces exceeds delivered.
data.delivery.all_bouncesTotal recipients in this scope who did not receive the message, computed as bounced + oob_bounces.
data.delivery.oob_rateShare of this scope's delivery attempts that resulted in an out-of-band bounce, computed as oob_bounces / (delivered + bounced). Null when there were no attempts.
data.delivery.delivery_rateShare of this scope's delivery attempts that remained delivered after all bounce signals, computed as effective_delivered / (delivered + bounced). Null when there were no attempts.
data.delivery.bounce_rateShare of this scope's delivery attempts that ultimately failed (inband or out-of-band), computed as all_bounces / (delivered + bounced). Because oob_bounces counts events rather than recipients, all_bounces can exceed the attempt count. The rate is clamped to 1. Null when there were no attempts.
data.delivery.complaint_rateSpam complaints in this scope relative to effectively delivered recipients, computed as complained / effective_delivered. Complaints are attributed by event time, so a scope can record more of them than it effectively delivered, pushing the rate above 1. Null when effective_delivered is zero.
data.engagementShow child attributes
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.latencyShow child attributes
data.latency.processingApproximate p50, p95, and p99 latency percentiles in milliseconds for one latency family over the bucket. All three are null when no qualifying event contributed a measurement.
Show child attributes
data.latency.processing.p50_msMedian (50th percentile) latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.processing.p95_ms95th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.processing.p99_ms99th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.deliveryApproximate p50, p95, and p99 latency percentiles in milliseconds for one latency family over the bucket. All three are null when no qualifying event contributed a measurement.
Show child attributes
data.latency.delivery.p50_msMedian (50th percentile) latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.delivery.p95_ms95th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.delivery.p99_ms99th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.totalApproximate p50, p95, and p99 latency percentiles in milliseconds for one latency family over the bucket. All three are null when no qualifying event contributed a measurement.
Show child attributes
data.latency.total.p50_msMedian (50th percentile) latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.total.p95_ms95th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.total.p99_ms99th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.trendA short series of this template's delivery and engagement rates, one point per time bucket over the window. Only present when you set include_trend=true on the request.
Show child attributes
data.trend.bucketThe day (YYYY-MM-DD) or hour (ISO 8601, on the hour) this point covers, matching the requested trend_grain.
data.trend.deliveredDelivered recipients in this bucket.
data.trend.bouncedBounced recipients in this bucket.
data.trend.delivery_rateDelivery rate for this bucket, as a fraction. Null when nothing was delivered or bounced.
data.trend.bounce_rateBounce rate for this bucket, as a fraction. Null when nothing was delivered or bounced.
data.trend.complaint_rateComplaint rate for this bucket, as a fraction. Event-time attribution can push it above 1 when complaints outrun the bucket's deliveries. Null when nothing was delivered in the bucket. On a sending-IP row complaints are not attributed to the IP, so this reads 0 in buckets that had deliveries and null in buckets that had none.
data.trend.open_rateOpen rate for this bucket, as a fraction. Event-time attribution can push it above 1 when opens outrun the bucket's deliveries. Null when nothing was delivered in the bucket. On a sending-IP row engagement is not attributed to the IP, so this reads 0 in buckets that had deliveries and null in buckets that had none.
data.trend.click_rateClick rate for this bucket, as a fraction. Event-time attribution can push it above 1 when clicks outrun the bucket's deliveries. Null when nothing was delivered in the bucket. On a sending-IP row engagement is not attributed to the IP, so this reads 0 in buckets that had deliveries and null in buckets that had none.
totalTotal number of distinct templates 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.
Related resources
Continue with the documentation, guides and examples for this topic.