The Simple Truth About n8n Lead Gen Workflows in 2025

00:13:46
https://www.youtube.com/watch?v=eM5WKEphQD4

Zusammenfassung

TLDRVideyo a eksplike kijan pou itilize AI nan otomatikizasyon lavant, ak yon konsantre sou enpòtans pou konprann pwosesis la anvan ou otomatik li. Li montre kijan pou itilize Airtable ak N pou swiv angajman sou LinkedIn, ki pèmèt ou jwenn kandida ki montre enterè nan pwodwi ou. Otomatik yo dwe baze sou rechèch manyèl pou asire ke yo ajoute valè reyèl nan biznis la. Videyo a bay egzanp sou kijan pou idantifye kandida ki enterese ak kijan pou voye mesaj pèsonalize san yo pa fè li twò konplike.

Mitbringsel

  • 🤖 AI ka amelyore pwosesis lavant yo.
  • 📊 Airtable se yon zouti itil pou jere done.
  • 🔍 Fè rechèch manyèl anvan otomatikizasyon.
  • 📈 Sosyal siyal ka ede jwenn kandida ki enterese.
  • ✉️ Mesaj yo ta dwe senp ak pèsonalize.
  • 🛠️ N se yon zouti pou kreye otomatik.
  • 📅 Swiv angajman sou LinkedIn pou jwenn kandida.
  • 💡 Defini ki sa ki yon bon kandida.
  • 🔗 Otomatik yo dwe ajoute valè reyèl.
  • 📋 Sèvi ak AI pou rechèch, pa pou voye mesaj.

Zeitleiste

  • 00:00:00 - 00:05:00

    Nan videyo sa a, oratè a diskite sou itilizasyon otomatik nan lavant B2B ak enpòtans pou konprann pwosesis la anvan ou otomatik li. Li fè konnen ke anpil moun depann twòp sou AI san yo pa bay enstriksyon klè, sa ki mennen nan rezilta ki pa efikas. Oratè a ankouraje moun pou yo fè rechèch manyèl sou bon lid ki ka enterese yo, sa ki pèmèt yo kreye yon baz done ki pi presi pou otomatik la.

  • 00:05:00 - 00:13:46

    Li prezante yon sistèm otomatik ki itilize AirTable ak N pou swiv lid sou LinkedIn ki montre enterè nan pwodwi yo. Oratè a eksplike kijan yo ka itilize angajman sou pòs lid yo pou idantifye kliyan potansyèl, ak kijan pou itilize AI pou analize enfòmasyon sa yo. Li ensiste sou enpòtans pou voye mesaj pèsonalize olye de mesaj jeneral ki ka sanble ak AI, pou asire ke kominikasyon an rete efikas ak enpòtan.

Mind Map

Video-Fragen und Antworten

  • Ki sa ki AI sales automation?

    AI sales automation se itilizasyon teknoloji AI pou otomatikize pwosesis lavant, tankou rechèch kandida ak kominikasyon.

  • Poukisa li enpòtan pou fè rechèch manyèl anvan otomatik?

    Fè rechèch manyèl pèmèt ou konprann pwosesis la ak sa ki fè yon kandida bon, sa ki ede nan kreye otomatik ki ajoute valè.

  • Ki zouti yo itilize nan videyo a?

    Videyo a itilize Airtable ak N pou swiv angajman sou LinkedIn ak jere done kandida.

  • Ki sa ki Airtable?

    Airtable se yon platfòm ki melanje karakteristik Google Sheets ak yon baz done, ki pèmèt itilizatè yo kreye tab ak otomatik.

  • Kijan pou mwen jwenn kandida ki enterese nan pwodwi mwen?

    Ou ka swiv angajman sou pòs ki gen rapò ak pwodwi ou sou LinkedIn pou idantifye kandida ki montre enterè.

  • Ki sa ki yon bon kandida?

    Yon bon kandida se yon moun ki montre enterè nan sa ou vann, ki gen yon pozisyon ki koresponn ak sa ou vize.

  • Kijan pou mwen itilize AI pou voye mesaj?

    Li pi bon pou itilize AI pou fè rechèch sou kandida, men voye mesaj yo ta dwe senp ak pèsonalize, pa twò konplike.

  • Ki sa ki N?

    N se yon zouti ki pèmèt ou kreye otomatik ak entegre ak lòt platfòm tankou Airtable.

  • Kijan mwen ka jwenn plis enfòmasyon sou sistèm sa a?

    Ou ka mande pou JSON ak baz Airtable ki te itilize nan videyo a.

  • Ki sa ki sosyal siyal?

    Sosyal siyal se angajman ak entèraksyon sou rezo sosyal ki ka itilize pou idantifye kandida potansyèl.

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Untertitel
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Automatisches Blättern:
  • 00:00:00
    now if you open up the YouTube search
  • 00:00:02
    panel and you type in AI sales
  • 00:00:04
    automation you're going to be met with a
  • 00:00:06
    ton of NA workflows that look incredibly
  • 00:00:09
    complex are those workflows cool i mean
  • 00:00:12
    yeah 100% now do they add tangible value
  • 00:00:15
    to your business often time not entirely
  • 00:00:18
    now for the past 5 years I've been
  • 00:00:20
    working and consulting with a bunch of
  • 00:00:22
    agencies helping them leverage these
  • 00:00:24
    systems tangibly into their internal
  • 00:00:26
    processes now in today's video I'm just
  • 00:00:29
    going to pull back the curtains and
  • 00:00:30
    share with you exactly some of the tools
  • 00:00:31
    that I've been building and how they are
  • 00:00:33
    driving results and allowing these
  • 00:00:35
    businesses to actually improve their
  • 00:00:37
    lead flow so let's get into it now
  • 00:00:40
    before I dive into the automation I
  • 00:00:42
    pretty much want to do some background
  • 00:00:43
    in terms of why we're doing this i know
  • 00:00:45
    it's very very easy to get lost in the
  • 00:00:47
    technicalities but I think it's so
  • 00:00:48
    important as business owners to actually
  • 00:00:50
    know why we're doing what we're doing
  • 00:00:52
    which will only help how we actually
  • 00:00:53
    build the alteration down the line in
  • 00:00:55
    the future and for you as I mentioned
  • 00:00:57
    this will be given i will give you this
  • 00:00:58
    template us doing this kind of research
  • 00:01:00
    now will kind of help you understand
  • 00:01:02
    what you should go and change in the
  • 00:01:03
    template that I give you so why does
  • 00:01:05
    everybody want these automations in the
  • 00:01:07
    first place well traditional B2B sales
  • 00:01:09
    or sales in general it's very very
  • 00:01:10
    manual right often time you spend a
  • 00:01:13
    bunch of time trying to do lead research
  • 00:01:15
    and find out who's a good lead to reach
  • 00:01:16
    out to now thanks to AI where it's
  • 00:01:19
    really really easy for us now to do
  • 00:01:21
    research at scale it's a lot lot easier
  • 00:01:24
    but this introduces another problem
  • 00:01:26
    everybody's becoming lazy incredibly
  • 00:01:28
    lazy and they just expect AI to read
  • 00:01:30
    their mind you know people just say um
  • 00:01:33
    look at this profile and tell me if
  • 00:01:34
    they're a good lead but what even is a
  • 00:01:36
    good lead right like you wouldn't just
  • 00:01:38
    tell a virtual assistant to go and get a
  • 00:01:41
    good lead for you you would break it
  • 00:01:43
    down into real like instruction just
  • 00:01:46
    what is a good lead to you right but
  • 00:01:49
    people don't do that with AI they just
  • 00:01:50
    give AI thinking AI is this all knowing
  • 00:01:53
    all powerful thing but you need to tell
  • 00:01:55
    it exactly what you're looking for in
  • 00:01:57
    order for it to give you what it is that
  • 00:01:59
    you want right and again if you automate
  • 00:02:01
    crap you're going to get crap ultimately
  • 00:02:02
    so and it's quite frankly why I tell
  • 00:02:05
    people to peel back first and do things
  • 00:02:07
    manually and when you do things manually
  • 00:02:09
    you can map out every single step that
  • 00:02:11
    it takes for you to do what you're
  • 00:02:12
    trying to do so maybe you know that like
  • 00:02:15
    first you always like check the site
  • 00:02:19
    right and then oh and then maybe if I
  • 00:02:22
    copy this over here and I duplicate it
  • 00:02:25
    then you know second you always check
  • 00:02:27
    their LinkedIn right and then maybe you
  • 00:02:31
    know third you always like I could say
  • 00:02:35
    check like the decision makers and the
  • 00:02:39
    past companies they worked at for
  • 00:02:41
    example whatever it is that you So when
  • 00:02:43
    you're able to map out like manually
  • 00:02:45
    what it takes for you to get whether
  • 00:02:47
    someone's a good fit or a bad fit then
  • 00:02:49
    you can pass that into the AI which I
  • 00:02:51
    which is why I think it's so important
  • 00:02:52
    to do these things manually to even know
  • 00:02:54
    what it is we're trying to automate in
  • 00:02:56
    the first place right now all of this
  • 00:02:59
    stuff has just led to the past year the
  • 00:03:01
    past 2 years everyone is just sending a
  • 00:03:04
    bunch of noise and noise has just been
  • 00:03:06
    thrown from one inbox to another inbox
  • 00:03:09
    like "Hey XY Z something very very
  • 00:03:11
    generic but there's clearly AI written
  • 00:03:13
    and it's not going to get you anywhere."
  • 00:03:15
    Which is why a lot of these automations
  • 00:03:17
    we're seeing they're not really adding
  • 00:03:19
    value because they're not specific
  • 00:03:21
    they're not um they haven't really taken
  • 00:03:24
    proven manual steps and automated it
  • 00:03:26
    they're just automations but hey in
  • 00:03:29
    order to automate something you need to
  • 00:03:30
    know how it works manually which is why
  • 00:03:32
    I think it's really really important
  • 00:03:33
    that you take the time to actually know
  • 00:03:36
    what it is that you want to automate
  • 00:03:38
    first now a powerful combination when
  • 00:03:40
    you're able to effectively use in lead
  • 00:03:43
    genen like signals for example as well
  • 00:03:45
    as being able to prompt the AI with a
  • 00:03:47
    lot of information you have a really
  • 00:03:49
    really powerful combination to build an
  • 00:03:51
    AI um sales co-pilot now with all that
  • 00:03:54
    being said let me kind of get into what
  • 00:03:55
    it is that we're building here this this
  • 00:03:57
    social signaling campaign leverages two
  • 00:03:59
    tool very very simple it leverages air
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    tableable and it leverages n right now
  • 00:04:05
    air Table if you don't know what Air
  • 00:04:06
    Table is Air Table is pretty much a
  • 00:04:08
    Google Sheets on Stairways it's a Google
  • 00:04:11
    Sheets is almost a database where you
  • 00:04:13
    can create a bunch of tables and you can
  • 00:04:15
    like create automations around the
  • 00:04:17
    tables and the records a record is just
  • 00:04:19
    a row in a table in a sheet and you can
  • 00:04:22
    just do so much very very easily and
  • 00:04:24
    effectively it's a really really good no
  • 00:04:26
    code platform so N sorry Air Table is
  • 00:04:30
    going to act as our like storing
  • 00:04:32
    mechanism right and we're going to use n
  • 00:04:34
    to trigger some automations and then
  • 00:04:36
    whenever we want to make changes or
  • 00:04:38
    updates or store information we're going
  • 00:04:40
    to call air table to store that
  • 00:04:41
    information i hope that makes sense so
  • 00:04:44
    let me go back into n and kind of
  • 00:04:45
    explain what's going on here again as
  • 00:04:47
    you can see this is it yes there's a few
  • 00:04:50
    steps but compared to these crazy flows
  • 00:04:52
    you see on YouTube it's nothing to that
  • 00:04:55
    cuz often time those flows they're not
  • 00:04:57
    necessary it's too many automated you're
  • 00:05:00
    letting AI do way too much when
  • 00:05:02
    realistically maybe you want an AI
  • 00:05:04
    workflow with predefined steps when an
  • 00:05:06
    AI agent just does whatever the hell it
  • 00:05:08
    wants so what is even happening here um
  • 00:05:11
    in this social tracking system what
  • 00:05:13
    we're doing is we are
  • 00:05:15
    tracking for leaders on LinkedIn that
  • 00:05:18
    talk about something similar to what we
  • 00:05:20
    sell in which we can we can use their
  • 00:05:23
    engagement that they're getting to
  • 00:05:25
    pretty much take their leads and sell to
  • 00:05:28
    them because we know that person is
  • 00:05:30
    somewhat interested in what we sell so
  • 00:05:32
    let me give you an example um let's say
  • 00:05:34
    I don't know Andrew Huberman is like a
  • 00:05:36
    health enthusiast right now if you're a
  • 00:05:38
    health coach it might be valuable for
  • 00:05:40
    you to look at all of his engages to see
  • 00:05:43
    if any of them fit your criteria maybe
  • 00:05:46
    anyone engaging on Andrew Huberman's
  • 00:05:48
    post that is a founder or a
  • 00:05:50
    director so a they're showing interest
  • 00:05:53
    in health content but b they kind of fit
  • 00:05:55
    your seniority level that's a good
  • 00:05:57
    person to get in front of because now
  • 00:05:58
    you know that your message isn't falling
  • 00:06:00
    on deaf ears because that person is
  • 00:06:02
    somewhat interested in the thing that
  • 00:06:04
    you sell cuz you're a health coach right
  • 00:06:06
    so a similar approach here so what I've
  • 00:06:08
    done is in air table I've got a table of
  • 00:06:11
    thought leaders these thought leaders
  • 00:06:12
    are just three people you might be
  • 00:06:14
    familiar with them this is very very
  • 00:06:16
    simple of people that talk about like
  • 00:06:18
    leveraging AI and sales so somewhat
  • 00:06:21
    similar to what it is that I do now on N
  • 00:06:25
    creating a schedule and every day for
  • 00:06:27
    example we're getting those four leaders
  • 00:06:30
    and we're finding any new post that they
  • 00:06:32
    have made right um emphasis on new post
  • 00:06:35
    we don't want to scrape any previous
  • 00:06:36
    post because we would have already
  • 00:06:38
    scraped them and it needs to be up to
  • 00:06:40
    date there's no point checking their
  • 00:06:41
    post from 6 months ago because anyone
  • 00:06:44
    that liked their post 6 months ago may
  • 00:06:46
    not still now be in the market so it's
  • 00:06:48
    really really important that we have
  • 00:06:50
    this automation that is actively doing
  • 00:06:52
    something every single day to pull fresh
  • 00:06:54
    insights because if if a CMO of a recre
  • 00:06:59
    of a I don't know of a creative agency
  • 00:07:01
    has interacted with two of these
  • 00:07:03
    people's post in the past two days that
  • 00:07:06
    is some real intent that they're
  • 00:07:07
    somewhat interested in how can we
  • 00:07:10
    leverage AI cells into us into our thing
  • 00:07:12
    right and of course you want to track
  • 00:07:14
    that and then get in front of them in an
  • 00:07:16
    effective way which which we'll get into
  • 00:07:18
    in a moment if you have time in this
  • 00:07:19
    video so what you can see here is in air
  • 00:07:23
    table I have a table for thought leaders
  • 00:07:25
    and I have a table for post scrapes so
  • 00:07:28
    what that means is I'm keeping a track
  • 00:07:29
    of all the post that we do scrape so
  • 00:07:31
    when I come back to nan we have a few
  • 00:07:34
    steps here where we're filtering out any
  • 00:07:36
    existing post right so this is getting
  • 00:07:38
    the existing post and then aggregating
  • 00:07:40
    it to turn it into um an array so if
  • 00:07:43
    you're familiar with n n works of items
  • 00:07:46
    and arrays we want it as an array
  • 00:07:47
    because then we can basically use a code
  • 00:07:50
    node to basically filter out any of the
  • 00:07:53
    people as I'm doing
  • 00:07:54
    here then we're fetching the engages of
  • 00:07:57
    all of those posts that we just
  • 00:07:59
    pulled then we're for every engager
  • 00:08:02
    we're getting their profile and then
  • 00:08:04
    we're then passing it into an open AI
  • 00:08:06
    module here notice we're not using an AI
  • 00:08:08
    agent cuz we don't need to here and an
  • 00:08:11
    AI agent is great if you're using tools
  • 00:08:13
    like a fire scrape their website or do
  • 00:08:16
    something else if you're just speaking
  • 00:08:18
    with a large language model often time
  • 00:08:20
    you do not need an agent and in fact I'm
  • 00:08:23
    going to open this up and I'm going to
  • 00:08:24
    show you what I'm doing here so this is
  • 00:08:26
    a pretty detailed prompt because um this
  • 00:08:28
    is how you get really good results but
  • 00:08:30
    pretty much what I'm doing is I'm
  • 00:08:33
    telling the agent very very detailed
  • 00:08:35
    that look you're a source assistant i'm
  • 00:08:37
    going to give you a bunch of
  • 00:08:39
    information pardon me about a company
  • 00:08:42
    about a profile and a company what I
  • 00:08:44
    want you to do okay here's some
  • 00:08:46
    information that I may give you i want
  • 00:08:48
    you to have a conversation with yourself
  • 00:08:50
    to try and figure out if that is the
  • 00:08:52
    right person to sell to so I'm telling
  • 00:08:54
    it what I sell i'm an AI consultant i
  • 00:08:56
    sell AI agents and automation services
  • 00:08:58
    to service- based businesses i tend to
  • 00:09:01
    sell to people over a headcount of 10
  • 00:09:03
    and I like to sell to first world
  • 00:09:05
    countries so I want you to basically
  • 00:09:07
    have a dialogue with yourself you know
  • 00:09:09
    like think about who is a potential
  • 00:09:11
    customer and then I'm doing something
  • 00:09:13
    really really cool here and in fact I'm
  • 00:09:14
    going to make a separate video for this
  • 00:09:16
    cuz it is quite complex but I'm pretty
  • 00:09:18
    much telling the AI to output in XML
  • 00:09:21
    tags where I want you to output the a so
  • 00:09:25
    like why did you come to that reasoning
  • 00:09:27
    and then a classification of like your
  • 00:09:29
    actual output the reason for this
  • 00:09:31
    thinking stage is what we're doing here
  • 00:09:33
    is we're practically turning GPT40 mini
  • 00:09:36
    into like 03 right or 01 we're turning
  • 00:09:40
    like a GPT model into like one of those
  • 00:09:43
    thinking models because we're actively
  • 00:09:45
    telling the AI to think through your
  • 00:09:47
    process and then at the end of that
  • 00:09:49
    output your response and this um really
  • 00:09:52
    really increases the output of what
  • 00:09:53
    you're able to get so I'm doing that and
  • 00:09:56
    then it's telling me if the person's a
  • 00:09:58
    fit if they are a fit then not add them
  • 00:10:00
    into a table so again um it's not
  • 00:10:03
    incredibly complex but it is highly
  • 00:10:05
    highly effective because then what
  • 00:10:06
    you're left with is you're going to be
  • 00:10:08
    left with a
  • 00:10:09
    um a table of prospects but have shown
  • 00:10:13
    in intent in posts that relate to you
  • 00:10:16
    they fit your criteria and also you can
  • 00:10:19
    track how many times they're engaging
  • 00:10:21
    and every single time this runs we're
  • 00:10:23
    able to aggregate what what's happening
  • 00:10:25
    here so it's really really simple but
  • 00:10:26
    really effective what I would then do is
  • 00:10:29
    at the end you can add in a step to add
  • 00:10:31
    them to like an automation platform like
  • 00:10:33
    hey reach or smart lead but one thing
  • 00:10:35
    that's really important to note here and
  • 00:10:37
    this is where most people go
  • 00:10:39
    well where am I
  • 00:10:42
    going so where most people go wrong is
  • 00:10:46
    that they'll use
  • 00:10:49
    AI to send a pretty
  • 00:10:52
    generic
  • 00:10:55
    AI each and you've just kind of undone
  • 00:11:00
    all that hard work you've used AI to do
  • 00:11:02
    really really good account and lead
  • 00:11:04
    research and now you want to use AI to
  • 00:11:07
    send a message like you
  • 00:11:09
    know like big fan of your content for
  • 00:11:13
    example and now this just screams AI or
  • 00:11:16
    especially when you add that little um
  • 00:11:18
    that little
  • 00:11:20
    dash this dash just screams AI but
  • 00:11:23
    anyway like there's no real need to go
  • 00:11:26
    crazy with AI to produce the message
  • 00:11:28
    because all the AI was the heavy lifting
  • 00:11:32
    when it came to fight came to doing the
  • 00:11:34
    research and now if you know that this
  • 00:11:36
    person has shown intent on um your post
  • 00:11:40
    on in your niche there's no real need to
  • 00:11:44
    get crazy or fancy here you can send a
  • 00:11:47
    very very simple message like "Hey I've
  • 00:11:50
    seen you're interested in leveraging AI
  • 00:11:51
    agents into your ops um me too i'm a big
  • 00:11:55
    fan of the person you know XY Z." I
  • 00:11:59
    thought it'd be great to exchange a note
  • 00:12:00
    right just a very very easy networky
  • 00:12:02
    kind of message instead of you trying to
  • 00:12:04
    get way too like I don't know
  • 00:12:07
    unnecessary with the AI outputting the
  • 00:12:09
    message i personally always advocate for
  • 00:12:12
    just using AI for the research and then
  • 00:12:14
    when it comes to the message your list
  • 00:12:16
    that you have built is the message
  • 00:12:18
    because you've built a list of people
  • 00:12:20
    that they fit your criteria whatever it
  • 00:12:22
    may be their service businesses in first
  • 00:12:24
    world countries and they're showing
  • 00:12:27
    interest in your kind of niche so
  • 00:12:29
    already that's a personalized message in
  • 00:12:31
    itself there's no need to let AI ruin
  • 00:12:33
    all the hard work you've done i really
  • 00:12:36
    hope that makes sense and I'll share
  • 00:12:38
    some more videos in the future where I
  • 00:12:39
    kind of show exactly how that would look
  • 00:12:41
    so yeah so here's the workflow and in
  • 00:12:43
    fact I will run it it will take some
  • 00:12:44
    time to be fair maybe I'll come back
  • 00:12:45
    when it's done but um again getting
  • 00:12:48
    we're getting we're getting the four
  • 00:12:51
    leaders we're fetching their posts we
  • 00:12:54
    are then fetching the
  • 00:12:56
    engagement we're then fetching the
  • 00:12:58
    profile and the company for each engager
  • 00:13:00
    on that post we are then using all of
  • 00:13:03
    that information to find out if the
  • 00:13:05
    person is a good fit for what we're
  • 00:13:07
    selling we are then sort of you know
  • 00:13:09
    aggregating it and then we are updating
  • 00:13:12
    the the person back into our air table
  • 00:13:15
    and it's going to take some time so
  • 00:13:16
    maybe I'll just pause it for now cuz the
  • 00:13:18
    video is is coming on quite long but
  • 00:13:20
    again guys I will share the JSON in the
  • 00:13:23
    description or just ask me and I'll send
  • 00:13:24
    it to you and I'll also share the air
  • 00:13:26
    table base as well um so yeah this is
  • 00:13:29
    how you can leverage social signals and
  • 00:13:31
    using AI effectively to pretty much
  • 00:13:34
    create a campaign that is always on
  • 00:13:36
    which allows you to get in front of the
  • 00:13:38
    right people at and as you can see
  • 00:13:40
    they're coming in now at the right time
  • 00:13:42
    so yeah all the best guys and um take
  • 00:13:44
    care speak soon a bat
Tags
  • AI
  • sales automation
  • Airtable
  • N
  • lead generation
  • LinkedIn
  • social signals
  • business value
  • manual research
  • automation