Full transcript
0:00what's going on guys today we're going
0:01to build a new agent this time I want to
0:05understand Trends and Analysis on my
0:08Smiley campaigns but this can be
0:10applicable for instantly reply kind of
0:12like Outreach based platform as long as
0:13you can export the data and the
0:15responses um via CSV so what I've gone
0:19ahead and done is we've gone to SM lead
0:21we've created a campaign we've done the
0:23campaign and then we've gone to the
0:25Inbox and exported the inbox with all of
0:27the campaign sequences and and statuses
0:29and things like that from there we then
0:32uploaded this into here so we can see
0:34all of the uh data basically coming back
0:38the reply time reply message things like
0:39that so now what we want to do is we
0:41want to create an agent so um as usual
0:44we're going to go to here and we've got
0:46a few different options right we could
0:50use the tools agent we could use the
0:54plan and uh execute agents which could
0:58be probably the one that we might go for
1:00or the conversational one for these
1:02these different ones for this one I
1:03think we're just going to keep to the
1:05tools in fact we're going to use the
1:07conversation we're going to test the
1:08conversation on we can maybe even do a
1:10little bit of a test to see how they
1:12differ actually uh for the purpose of
1:14this so we're going to use 40 mini for
1:17the purpose of this but for the test um
1:20but I would probably use 40 because
1:21you're going to get better outputs or
1:23maybe even
1:25clawed we're going to use a memory uh
1:28here and the memory we going to take
1:29change it to a context context length
1:32window of 10 so now I created that
1:35Google sheet I think it's called
1:36influence campaign report so we're going
1:39to do this as
1:41well now one thing that I thought could
1:44be cool is we're going to get the email
1:46address so we could also take this a
1:50little bit further by understanding who
1:52are the types of people that have
1:54replied but for now let's go ahead and
1:59chat to it a previous session um let's
2:02change that can you spot any
2:07Trends on this data based on the
2:14individuals that have replied to
2:20me anything I could use going forward to
2:25improve my response rate
2:31probably conversation agent oh I use
2:34conversation agent oops didn't mean to
2:36do that I meant to use plan execute
2:39agent okay redo
2:42that the tools are not supported what
2:46tool is not
2:47supported uh that should be fine
2:51um okay there okay that makes our answer
2:55I never knew that so we got to use a
2:56tools agent for this purpose for Google
2:58Sheets clearly
3:01let's going test that there we go okay
3:03so that is now going to start to to run
3:06um this might take a while because it's
3:08got to Crunch a lot of data so we may
3:11skip ahead to the results coming back
3:13okay we now have a response based on the
3:18data you provided regarding individuals
3:20who engaged with your AR messages here
3:22are some Trends General Trends Laris
3:24bonray mostly message show no replies
3:26delivery issues interesting balce rate
3:30blah blah blah you have SRU to emails
3:32consider personalization so it's really
3:34ripping apart my campaign anyway I want
3:37to take this further because this is all
3:39quite generic we haven't done AB testing
3:40obviously this would be a lot better if
3:42I did AB testing things like that I want
3:44to really understand based on those
3:46individuals that have replied what were
3:49the themes right because if the copy is
3:51relatively the same and this would be
3:53even better if the copy varied based if
3:55I was using like AI copy personalized
3:56for everything we could then like really
3:58like hone in on it but here I've got two
4:00other nodes that I just copied and uh
4:03pasted from another flow so we don't
4:06need to read it every time and we're
4:08going to hook these up so this is going
4:09to get the information of the
4:11individuals from social media and this
4:12is going to get the information it's
4:13going to allow us to search and so now
4:15what we want to do is I want to Define
4:18The Prompt
4:19um uh give it assistant message you're a
4:22helpful assistant helpful uh research
4:30assistant that is going
4:33to crunch numbers for me to improve my
4:38cold email campaigns going
4:44forward you have the ability to search
4:50Google and social media
4:55to
4:57understand if there are any Trends
5:01emerging based on who the people are
5:06that are replying or
5:10not and can check people's backgrounds
5:14via social media
5:18Etc which is good and so now we're going
5:20to say Can you spot any
5:24Trends on the type of people that have
5:28replied to me
5:30in this
5:33campaign you can use the Google search
5:37or social media info to help
5:42inform your
5:46decision is there anything the people
5:51have the people that have replied have
5:55in
5:57common okay we're going to let this run
5:59can analyze their background com
6:02trades okay do I need to update this set
6:06manually read to update to the Google
6:09Sheets to
6:11find the called email campaign
6:16performance use the Google Sheets tool
6:20to get the campaign
6:25stats okay use now because I've used the
6:28window buffer we can actually
6:30have a conversation with it we don't
6:31need to restart the pomp use the
6:33Google Sheets tool to
6:39collect all the uh information you
6:45require okay everyone right we've
6:47finally replied to us which is good so
6:50you can see here spoke to it grabbed all
6:52the information it's checked different
6:55profiles so it should spit us out quite
6:58a nice yeah quite a nice response let's
7:00see what we've got so common
7:02characteristics May respondents were
7:05senior individuals industry exposure the
7:08majority come from technology
7:09backgrounds okay we've got the country
7:13educational we got a few of the notable
7:16highlights so here we go we've got four
7:18actionable insights focus on decision
7:20makers fine interesting so highlight how
7:22you can your product can assist and
7:23optimize marketing efforts given the
7:25interest expressed by many enhancing
7:26their digital presence and efficiencies
7:29consider case study development
7:31testimonials to resonate with
7:32high-profile
7:33audience
7:36interesting we could then ask it based
7:39on this data you now have is there any
7:45Trends with we could even do it like
7:47with the post that they do or something
7:48like that that could be cool because
7:49we've hooked this up to triggery now but
7:52uh we could say basic on this data is
7:53there any Trends uh with the work
7:58experience Maybe previous roles or
8:01anything like
8:03that okay so we need to go get it again
8:07so that is an agent right which now is
8:10taking all of our campaign data it's
8:15we've armed it with the ability to sech
8:16Google we've armed it the ability to
8:18pull a social data via
8:20triggery and we can just keep asking it
8:22questions right and and we can keep
8:24tinking with this to make this better
8:25but that is another use case of a
8:28individual agent that can get so much
8:31value and help you spend hours and hours
8:33of time just by improving your campaign
8:36performance