Better performance for running this query - sql-server

Question

I want to improve the performance for running the following SQL.
Apparently its taking up 3.28 minutes to run 784 for the following query,
is there a better practice, or better solution to improve the performance of the code? Thanks so much
I've tried with Sum, Count, pivot and looks like Count is faster
with Accounts as
(select ID,displayName AccountName from u3_system.dbo.account with(nolock)
where
ID = '0439b9d9-f2c9-43dc-aa2d-08cdea94db21'
or ID = 'f815d2dd-e118-4930-a67d-08cf28b410e2'
or ID = 'f606fcab-dcbd-4d02-8161-08d635cd8971'
or ID = '7d8f44d4-0f17-41f1-87e2-08cf28b4343b'),
Campaign as
(select C.ID, Accounts.AccountName,C.displayName [Mailout Folder] from Accounts
left join u3_mail.dbo.Campaign C with(nolock)
on C.listID = Accounts.ID),
mo as
(select
campaign.AccountName
,campaign.[Mailout Folder]
,mo.ID [MailOutID]
,mo.displayName [Mailout Name]
,[date] [Send Date]
,Details.value('(//content)[1]/subject[1]', 'varchar(200)') AS [Subject Line]
from campaign
inner join [u3_mail].[dbo].[mailout] mo WITH(NOLOCK)
on mo.campaignID = campaign.ID),
ML as
(select mailoutID,
count(mailoutId) [Total Messages],
count(case when status = 'Delivered' then 1 else null end) Delivered,
count(case when status <> 'Delivered' then 1 else null end) Undelivered,
count(case when ReadDate is not null then 1 else null end) [Read],
count(case when HasClicked = '1' then 1 else null end) [Unique Clicks],
count(case when BounceDate is not null then 1 else null end) [Bounced],
count(case when OptOutDate is not null then 1 else null end) [Opted Out]
from
[u3_data].[data].[MailLog_0439b9d9f2c943dcaa2d08cdea94db21] ML with(nolock)
group by MailoutID
union
select mailoutID,
count(mailoutId) [Total Messages],
count(case when status = 'Delivered' then 1 else null end) Delivered,
count(case when status <> 'Delivered' then 1 else null end) Undelivered,
count(case when ReadDate is not null then 1 else null end) [Read],
count(case when HasClicked = '1' then 1 else null end) [Unique Clicks],
count(case when BounceDate is not null then 1 else null end) [Bounced],
count(case when OptOutDate is not null then 1 else null end) [Opted Out]
from
[u3_data].[data].[MailLog_f815d2dde1184930a67d08cf28b410e2] ML with(nolock)
group by MailoutID
union
select mailoutID,
count(mailoutId) [Total Messages],
count(case when status = 'Delivered' then 1 else null end) Delivered,
count(case when status <> 'Delivered' then 1 else null end) Undelivered,
count(case when ReadDate is not null then 1 else null end) [Read],
count(case when HasClicked = '1' then 1 else null end) [Unique Clicks],
count(case when BounceDate is not null then 1 else null end) [Bounced],
count(case when OptOutDate is not null then 1 else null end) [Opted Out]
from
[u3_data].[data].[MailLog_f606fcabdcbd4d02816108d635cd8971] ML with(nolock)
group by MailoutID
union
select mailoutID,
count(mailoutId) [Total Messages],
count(case when status = 'Delivered' then 1 else null end) Delivered,
count(case when status <> 'Delivered' then 1 else null end) Undelivered,
count(case when ReadDate is not null then 1 else null end) [Read],
count(case when HasClicked = '1' then 1 else null end) [Unique Clicks],
count(case when BounceDate is not null then 1 else null end) [Bounced],
count(case when OptOutDate is not null then 1 else null end) [Opted Out]
from
[u3_data].[data].[MailLog_7d8f44d40f1741f187e208cf28b4343b] ML with(nolock)
group by MailoutID
),
ME as
(select MailoutID,
count(case when [Event] = 'LinkClicked' then 1 else null end) [Total Clicks],
count(case when [Event] = 'AbuseReport' then 1 else null end) [Mark as Spam]
from
[u3_data].[data].[MailEvent_0439b9d9f2c943dcaa2d08cdea94db21] ME with(nolock)
inner join [u3_data].[data].[MailLog_0439b9d9f2c943dcaa2d08cdea94db21] ML with(nolock)
on ML.ID = ME.messageID
where [Event] in ('LinkClicked','AbuseReport')
group by MailoutID
union
select MailoutID,
count(case when [Event] = 'LinkClicked' then 1 else null end) [Total Clicks],
count(case when [Event] = 'AbuseReport' then 1 else null end) [Mark as Spam]
from
[u3_data].[data].[MailEvent_f815d2dde1184930a67d08cf28b410e2] ME with(nolock)
inner join [u3_data].[data].[MailLog_f815d2dde1184930a67d08cf28b410e2] ML with(nolock)
on ML.ID = ME.messageID
where [Event] in ('LinkClicked','AbuseReport')
group by MailoutID
union
select MailoutID,
count(case when [Event] = 'LinkClicked' then 1 else null end) [Total Clicks],
count(case when [Event] = 'AbuseReport' then 1 else null end) [Mark as Spam]
from
[u3_data].[data].[MailEvent_f606fcabdcbd4d02816108d635cd8971] ME with(nolock)
inner join [u3_data].[data].[MailLog_f606fcabdcbd4d02816108d635cd8971] ML with(nolock)
on ML.ID = ME.messageID
where [Event] in ('LinkClicked','AbuseReport')
group by MailoutID
union
select MailoutID,
count(case when [Event] = 'LinkClicked' then 1 else null end) [Total Clicks],
count(case when [Event] = 'AbuseReport' then 1 else null end) [Mark as Spam]
from
[u3_data].[data].[MailEvent_7d8f44d40f1741f187e208cf28b4343b] ME with(nolock)
inner join [u3_data].[data].[MailLog_7d8f44d40f1741f187e208cf28b4343b] ML with(nolock)
on ML.ID = ME.messageID
where [Event] in ('LinkClicked','AbuseReport')
group by MailoutID)
select
mo.AccountName [Account Name]
,mo.[Mailout Folder]
,mo.[Mailout Name]
,mo.[Send Date]
,mo.[Subject line]
,ml.[Total Messages]
,ml.Delivered
,ml.Undelivered
,ml.[Read]
,ml.Delivered - ml.[Read] [Unread]
,ml.[Unique Clicks]
,me.[Total Clicks]
,ml.[Bounced]
,ml.[Opted Out]
,me.[Mark as Spam]
from mo
left join ml
on ml.mailoutID = mo.mailoutID
left join me
on me.mailoutID = ml.mailoutID