This AI Video Sales System Books Me 30+ meetings/Mo (Make.com + Relevance AI)
Summary
TLDREn este video, el creador muestra cómo configurar un sistema de videos personalizados automatizado por AI para mejorar las tasas de respuesta en el marketing de correo electrónico. Utiliza Senspark para personalizar nombres y URLs de empresas en el fondo, y Relevance AI para encontrar observaciones relevantes como puestos de ventas o rondas de financiamiento para personalizar aún más. El flujo de automatización comienza en el CRM, Hopspot, y termina con el envío de correos a través de Instantly, actualizando el CRM para registrar la participación en la campaña de Outreach.
Takeaways
- 😲 El creador del video utiliza un sistema de videos automatizados y personalizados en sus correos electrónicos de outreach por correo (C email Outreach), obteniendo tasas de respuesta del 18% y más de 30 reuniones agendadas al mes.
- 📹 Los videocorreos personalizados están superando en rendimiento a todos los demás tipos de correos electrónicos enviados por el creador, a pesar de que aún no están sobreutilizados.
- 🤖 Se menciona que plataformas como Hen o Cesium, que ofrecen personalización de videos, todavía no son lo suficientemente buenos, ya que los avatares parecen muy robóticos e impersonales.
- 🔑 Se destaca la importancia de la personalización sin avatares robóticos, manteniendo la autenticidad de la voz y la interacción del creador en los videos.
- 🎥 El sistema de personalización de videos utiliza Senspark, que clona la voz del creador y personaliza el nombre del prospect y la URL de la empresa en el fondo del video.
- 🔍 El creador utiliza un proceso de personalización de Outreach para encontrar observaciones relevantes sobre la empresa que justifiquen el contacto, mejorando así las tasas de respuesta.
- 🔗 La observación más fuerte para el Outreach es cuando una empresa está contratando para un puesto de BDR (Business Development Representative), ya que el servicio que ofrece es un agente AI para estas funciones.
- 💰 Se sugiere una segunda observación para la personalización, que es si la empresa ha recibido recientemente una ronda de financiamiento, indicando un potencial interés en escalar ventas y ganancias.
- 🛠 El flujo de automatización comienza con el CRM Hopspot, que desencadena el proceso cuando se crea un nuevo contacto, y utiliza herramientas como Relevance AI para investigar y personalizar la estrategia de Outreach.
- 🔄 El uso de plantillas de video diferentes según las observaciones encontradas en la investigación de Relevance AI, permite una personalización más efectiva y relevante en el contenido del video.
- 📧 El proceso finaliza con el envío de los videocorreos personalizados a través de la plataforma Instantly, con la incorporación de un snippet de código que permite la personalización automática del video en función del correo electrónico del destinatario.
Q & A
¿Qué tipo de sistema de video automatizado personalizado se presenta en el video?
-Se presenta un sistema de video automatizado personalizado utilizado en el correo electrónico de Outreach para obtener tasas de respuesta superiores al 18% y más de 30 reuniones agendadas al mes.
¿Por qué el creador del video se sorprende con los resultados de su sistema de videoemails?
-El creador se sorprende porque los videoemails están superando en rendimiento a todos los demás correos electrónicos personales que envía, y considera que este método aún no está sobreutilizado.
¿Cuáles son los problemas que el creador encuentra con las plataformas de personalización de videos como Hen o Cesium?
-Según el creador, los problemas son que los avatares parecen demasiado robóticos e impersonales, y además, estos softwares pueden ser bastante caros en cuanto a las personalizaciones.
¿Cómo funciona la plataforma Senspark para personalizar los videos?
-Senspark es una herramienta que clona automáticamente la voz del usuario y personaliza el nombre del prospect y la URL de la empresa en el fondo del video, creando la ilusión de que el video es personalizado en tiempo real.
¿Qué es el proceso de personalización en Outreach y cómo se relaciona con el servicio que el creador ofrece?
-El proceso de personalización en Outreach implica encontrar una razón válida para contactar a un prospect, como un puesto de bdr en búsqueda o una ronda de financiamiento reciente, que se vincula con el servicio que se ofrece, en este caso, un agente AI de bdr.
¿Cómo se utiliza la herramienta de relevancia AI para investigar y personalizar el contenido del video?
-La herramienta de relevancia AI realiza una investigación sobre el prospect, buscando observaciones relevantes como puestos de bdr en búsqueda o rondas de financiamiento, y luego enruta el lead a diferentes plantillas de video según lo encontrado.
¿Cuál es el flujo de trabajo básico que se describe en el video para la automatización de videos personalizados?
-El flujo comienza con un CRM, como Hopscotch, que desencadena un flujo cuando se crea un nuevo contacto. Luego, el lead se envía a la herramienta de relevancia AI para la investigación, y según los resultados, se utiliza un router para enviarlo a diferentes plantillas de video y se envía a Instantly para el envío del correo electrónico.
¿Cómo se actualiza el CRM después de enviar un video personalizado a través del sistema?
-Después de que el video es enviado y el lead se añade a la campaña de correo electrónico, el CRM se actualiza con una columna 'enrolled' que indica si el lead ha sido incluido en la Outreach personalizada.
¿Qué sucede si no se encuentran observaciones relevantes durante la investigación con la herramienta de relevancia AI?
-Si no se encuentran observaciones relevantes, se utiliza una plantilla de video genérica que se puede utilizar como una fallback para el contacto.
¿Cómo se puede personalizar el sistema de video para casos de uso específicos?
-Se debe pensar en qué se está vendiendo y qué observaciones serían relevantes para el Outreach. Luego, se debe adaptar la aplicación de relevancia AI para encontrar estos puntos de observación y crear plantillas de video en consecuencia.
¿Por qué es importante la personalización más allá del nombre y el fondo en el video?
-La personalización más allá del nombre y el fondo proporciona un punto de observación relevante que refuerza la conexión con el prospect y aumenta la probabilidad de una respuesta positiva, ya que se demuestra un conocimiento específico de su situación o necesidades.
Outlines
😲 Configuración de un sistema de video personalizado con AI
El primer párrafo introduce el tema del video, que es la configuración de un sistema de video personalizado automatizado con AI para mejorar las tasas de respuesta en el correo electrónico de outreach. El narrador comparte su experiencia positiva, obteniendo más del 18% de tasas de respuesta y más de 30 reuniones mensuales. Critica las plataformas existentes como hen o cesia por su apariencia robótica y costosa, y presenta su método alternativo de personalización sin avatares, enfocándose en la autenticidad y el uso de su propia voz.
🤖 Funcionamiento del sistema de personalización de videos AI
Este párrafo explica cómo funciona la personalización de videos con AI, utilizando la plataforma Senspark para clonar la voz y personalizar el nombre del prospect. El proceso implica grabar un video, mencionar 'watermelon' como señal para la sustitución de nombre y mostrar el sitio web de la empresa en el fondo. Además, se discuten las limitaciones y ventajas de la personalización y cómo se puede mejorar con la observación adecuada y el uso de un proceso de personalización de Outreach.
🔍 Proceso de personalización de Outreach y observaciones relevantes
El tercer párrafo profundiza en el proceso de personalización de Outreach, enfatizando la importancia de tener una razón sólida para contactar a los prospectos, como el ofrecimiento de un servicio de agente de desarrollo de negocios (BDR) AI. Se sugiere que las observaciones relevantes, como un puesto de BDR vacante o una ronda de financiamiento reciente, son mejores que la personalización superficial. Se describe cómo se utiliza la herramienta de observación para encontrar estas conexiones y personalizar los videos en consecuencia.
🛠 Configuración de la automatización en Make.com
Este párrafo detalla cómo se configura la automatización en Make.com, iniciando desde el CRM Hopspot y utilizando la herramienta de relevancia AI para investigar a los prospectos. La automatización incluye la selección de plantillas de video según las observaciones encontradas y el envío de correos electrónicos personalizados a través de la plataforma Instantly. Se proporciona un ejemplo práctico de cómo se desencadena la automatización y se procesa un nuevo contacto, incluyendo la personalización del video y la actualización del CRM.
🔗 Conexión de la aplicación Relevance AI con Make.com
El quinto párrafo se enfoca en la conexión de la aplicación Relevance AI con Make.com, explicando cómo se configura una solicitud HTTP para enviar datos de contacto a la herramienta de investigación personalizada. Se detalla el proceso de configuración de encabezados y cuerpo de la solicitud, incluyendo el uso de variables de Hopspot para personalizar la solicitud y la generación de un enlace a la API de Senspark para la personalización del video.
🌐 Configuración de la API de Senspark y envío de campañas de correo electrónico
El sexto párrafo cubre la configuración de la API de Senspark, incluyendo la obtención de credenciales de la cuenta y la configuración de las cabeceras necesarias para la solicitud. Se describe cómo se rellena el contenido de la solicitud con variables de contacto y cómo se utiliza el snippet de código proporcionado por Senspark para integrar los videos personalizados en las campañas de correo electrónico de Instantly. Finalmente, se actualiza el CRM para registrar la inscripción de los contactos en la campaña de Outreach.
📚 Resumen y ofrecimiento de consultoría
El último párrafo resume el contenido del video y ofrece la posibilidad de consultoría para aquellos interesados en soluciones empresariales. El narrador anima a los espectadores a dejar comentarios si tienen preguntas y a suscribirse al canal si encuentran valor en el contenido. Se cierra el video con un agradecimiento y el deseo de ver a los espectadores en el próximo video.
Mindmap
Keywords
💡AI automatizado
💡Tasas de respuesta
💡Video personalizado
💡Senspark
💡Relevancia AI
💡Observaciones relevantes
💡BDR (Agente de Desarrollo de Negocios)
💡Ronda de financiamiento
💡Instantly
💡CRM (Sistema de Gestión de Relaciones con Clientes)
Highlights
Se presenta un sistema de video personalizado automatizado por AI para aumentar las tasas de respuesta en el correo electrónico de outreach.
El sistema de videoemails personalizado está obteniendo más del 18% de tasas de respuesta y más de 30 reuniones agendadas al mes.
Los videoemails personalizados están superando a otros métodos de comunicación en rendimiento y aún no están sobreutilizados.
Se mencionan plataformas como Hen o Cesium para personalización de videos, pero se argumenta que aún no son lo suficientemente buenos y pueden ser caros.
Se presenta una alternativa para personalizar videos sin avatars robóticos, manteniendo mayor naturalidad en la comunicación.
El uso de la plataforma Senspark para personalizar videos mediante el clonado de la voz y la incorporación de nombres y URLs de empresas.
Se ilustra cómo Senspark reemplaza palabras clave como 'watermelon' con el nombre del prospect y muestra el sitio web de la empresa en el fondo.
La importancia de la observación en el proceso de personalización, buscando razones sólidas para el contacto en lugar de personalizaciones superficiales.
El servicio de AI para encontrar prospectos, investigarlos y realizar un outreach personalizado, similar a un agente humano de BDR.
Se describe el proceso de personalización de outreach basado en observaciones relevantes, como la contratación de un BDR o una ronda de financiamiento reciente.
La automatización en Make.com que conecta el CRM con herramientas de investigación y personalización de videos.
Uso de la herramienta Relevance AI para investigar y encontrar observaciones relevantes sobre las empresas y sus empleados.
Se detalla cómo se configura la aplicación de Relevance AI para realizar búsquedas y análisis de datos de las empresas y sus carreras.
La integración de Senspark con Make.com para enviar videos personalizados a diferentes campañas en función de las observaciones encontradas.
El uso de plantillas de video en Senspark para adaptar el contenido en función de la personalización requerida por el lead.
La integración con la plataforma de correo electrónico Instantly para enviar los videos personalizados y actualizar el CRM con el estado de la campaña.
Se ofrecen plantillas y tutoriales para facilitar la configuración del sistema de personalización de videos a las necesidades específicas del usuario.
Se invita a los espectadores a consultar en los comentarios si tienen preguntas y a suscribirse al canal para recibir más contenido similar.
Transcripts
hey guys so in this video I'm going to
show you how to set up an AI automated
personalized video system that I
personally use in my C email Outreach to
get over 18% reply rates and more than
30 meetings booked a month I myself am
pretty shocked about the results these
video emails are getting I personalize
all my outbound emails but these video
emails are outperforming all others and
I don't think it's overused just yet so
in this video I want to show you my
setup and how you can do the same
because I think you can really take
advant vage of this while it's still
relatively unknown so first of all you
might have heard of these platforms like
hen or cesia to personalize videos now
I'm not using those in my opinion there
are two main problems with these
softwares the first one is it's still
not good enough yet they just look too
robotic too impersonal and in the end
just too fake and second of all they can
be quite expensive for these
personalizations so I found a way to
personalize videos without the
robot-like avatars and where it's
actually mostly me talking so if you're
interested in this keep watching and
I'll show you step by step how to set it
up so before showing you the Automation
in make.com I do want to give you a
brief overview of how this AI video
personalization works so basically
consists of two components the first one
is a platform called senspark which we
use to personalize our videos so this is
basically a simple personalization tool
that automatically clones your voice and
personalizes the name of the prospect so
the way it works is I record record a
video and when I record my video I say
hey watermelon in the beginning and then
I do my video as normal then the
software will identify that I said
watermelon and it will change that word
watermelon for the lead's name right by
cloning the voice of the rest of my
video so instead of saying hi hey
watermelon I'll say your name hey Oscar
or hey Jennifer and the second thing it
will do is it'll put the the URL of the
company you're reaching out to in the
background of your video so it looks
like you're scrolling through their
website while you're doing your pitch so
those are two sort of nice little
personalization points I can show you a
quick
example hey Jennifer I just checked out
your website and I thought it was really
interesting what you guys are doing and
I also saw you were hiring for bdr
positions so you can see I say hey
Jennifer and then I'm scrolling through
the website right so is it perfect it's
not uh but I think it works well enough
for people to believe that it's actually
true and also think they sort of fade
fade out your camera at the moment where
you're actually seeing watermelon so
it's hard to see that you're maybe
seeing something different so this is
sort of a nice little personalization
but I wanted to make it even better
right so I use usually in my out
Outreach um context I use a system
called Outreach personalization process
now what is an Outreach personalization
process it basically
means just personalization of of your
emails or your videos is not necessarily
a good thing you need to have a reason
for reaching out to them that's where
you get the highest reply rate right if
you haven't found an observation on this
company that is the reason you're
reaching out to them that is way
stronger than just a personalization
because I could say something like hey I
saw you live in Amsterdam but it's a
personalization but it has nothing to do
with the service I'm offering so we need
an observation that ties in to the
solution we're offering so in my case in
my outb
Outreach in my video Outreach I'm trying
to sell my AI bdr agent services so what
does this service do it basically finds
prospects it researches them it does a
personalize Outreach just like this
system it manages your inbox and even
book me books meeting so it basically
takes over the job of a human bdr agent
so this is the the the service I'm
offering so my personalization process
is I sort of have to find relevant
observations about this company that I
can use in my Outreach and in this case
in these videos so what is the best
possible observation I could find when
I'm offering these kind of
services I in my opinion I think the
best case scenario is when a company is
actually hiring for bdr positions
because then I can come to them and say
hey I saw you're hiring for a bdr
position have you actually considered
using an AI bdr right now not all
companies will be hiring bdr agents so I
need sort of a second a backup
personalization so what could be another
good one it could be they had a recent
funding round why because usually
companies that had a recent funding
round they have to go very hard on sales
and grow Revenue so this would be a good
sort of context uh for them to use my
bdr so this is sort of the system I'm
using I'm going through different
observations I could find from best to
worst until I find one and that one I'll
use as sort of a reason to outreach to
these people so that's the way my
automation is set up so besides just
doing the name and the the website in
the background I'm using a research tool
to find sort of these relevant
observation and if I find that a company
is hiring a bdr I'm using a different
template video template than when a
company for example had a recent funding
round now let's say that they have all
of these things they don't have it you
always need sort of a backup a fallback
personalization which might be a little
bit more generic but you can always use
it when none of the other sort of
observations were found I think this
system is a very good system to think
about outbound personalization anyway
but this is also the system we use I use
here in my make.com automation so you
can hear me say in this one I also saw
you were hiring for bdr positions what
you guys are doing and I also saw you
were hiring for bdr positions now this
is one of my templat so if my research
on this lead finds that they they were
hiring for bdr then I use this video
template but I have a few more right so
I have another one here for example
funding so if they had a recent funding
round I would use this template hi Oscar
I just came across your website and
really liked what you guys are doing I
also noticed you recently have a new
funding round so congrats on that I can
imagine so I use that as a reason in
this one so that's how to make.com
automation is set up you can see here I
have different video templates my actual
one has even more but just for
Simplicity of this video this is the way
it works so now that you have that
context let me get you through this flow
right so this flow starts with my CRM in
this case hopspot which of course is
easy to switch out if you have another
CRM basically I find my new Prospect in
Apollo uh and other platforms that is
automatically synced to my hopspot and
when a new contact is created in hopspot
this flow is triggered so what happens
here is uh the new lead is going to be
sent to a relevance ai ai tool I build
which does research on the lead if you
don't know relevance AI yet I do have a
full tutorial on my YouTube channel on
what it is and how you can build AI
agents and AI tools with relevance AI
but I'm going to show you in this video
too how I've set this up so basically
what this tool does it does the research
on the lead so it finds sort of these
observations that I mentioned before so
it does research on the company and
looks for okay are they hiring for a BD
are uh no okay then we go and check the
next are we uh did they have a recent
funding round and then we go through the
different observation steps now
depending on the research result we use
a router here to send it to different
templates so in this case let's say
they're actually hiring for a bdr then
we send it to this template which is the
template where I say uh I saw you were
hiring for a bdr
agent and if they had a recent funding
route I send it to this template where I
say congrats on the funding round I can
imagine scaling sales is a priority
right now and of course this is the
fallback which would be the most generic
one if we can't find any other
observation we always send it to the
most generic one so this is this is the
relevant AI app this is senspark API I'm
going to show you later in detail how to
set this up but I just want to give you
an overview of how this system works and
then lastly we have uh we send it to
instantly where we actually send it send
the emails to our leads so we upload the
lead and the video onto instantly we
enroll them in the campaign and then
lastly we update our CRM to say that
this lead was enrolled in our called
email Outreach so that's a basic
overview of this automation so now I'll
show you a quick example and through the
example I will then explain step by step
how you can set it up and customize it
to your specific use case so remember as
always all the templates are for free in
the in the description below so let's
say we have a new contact here just have
an example here um that we're going to
pull in so in this case we're just going
to run it manually once so it gets the
new contact now it sends it to the
relevance AI app which is doing the
research on this lead where it's
basically going to try and find if this
companies hiring for bdrs or they had a
recent funding route you can see it's
already done it so in this case the
outcome of my relevant AI
tool we can see is hiring right so it
means that this company's hiring for bdr
and then I simply put set up a filter
here that says if hire if this output of
the relevant CI tool contains hiring
then sent to this and of course in this
template we have it set up with me
saying hey I saw you you were hiring for
a bdr so it has generated the
personalized video it has sent it and
created the instantly lead and campaign
and it has updated the CRM so we cannot
check quickly in send spark what's
happening so if we go to our campaign
you can see it's generating this new
video if we click
refresh we can see it generated the
personalized video with the background
of the company hey Derek I just checked
out your we and now we can also see if
it was added to our instantly campaign
you can see he also was added to our
instantly campaign where if we go in the
sequence I have the video pasted here
I'll show you later how you how you do
this but you can see this is how it
works so I'll go step by step I start
with
hopspot so of course you can make this
uh you can trigger this from any CRM or
even from Google Sheets right so in my
case I've done is set up a search for
contact now in my case I search for
contacts with a filter right so with a
filter that is enrolled does not equal
yes right because basically what I do
every person that is enrolled in my
instantly campaigns I update here in the
end to yes meaning that they won't be en
again right so I just find anyone who's
not enrolled through this search for
contact I I I in this case I only limit
it to one and then I run it every 5
minutes and that lead will get pulled
and then that will be sent to relevance
AI now I'm going to show you the
relevance AI app right now how I've set
it up and how you can customize it so
for relevance AI you always need the
HTTP model which I'm going to show you
also how to set that up but if we're in
the relevant CI dashboard we can go to
the tool I
created which is the personalized video
researcher now if you've never seen
relevant say I yeah I do recommend you
check out my other YouTube video where I
explain in detail how to set this up but
I will go through the step by step in
this video too so the best way to show
you how this one works is by actually
putting in an example so I'll just go
back and put in a quick example and let
this tool run so here are the user
inputs I defined so in this case you
have the contact name the company name
and the contact email which I get in of
course from hopspot right these are the
user inputs and I st store these user
inputs into the variables as always in
relevance AI which we're going to use in
the next steps um now the first step is
to find the company URL right because we
suppose we only have the name in this
case so basically what we're doing is
we're just looking at the email and
taking the domain name because these are
all professional emails or work emails
so we find the domain name we do Google
search and find the uh we do a Google
search API here right and we Dre the
Google search
uh result finding we try and find the
company URL which we found here right so
we St store this company URL into this
variable and again we're going to do a
Google search in this case I'm looking
for the LinkedIn profile of the company
too so we put in the company URL plus
LinkedIn we do Google search we feed it
to an LM to say try and find the company
LinkedIn URL which you found here I
think in this actual flow this one is
not even necessary I think it's still
there because of I edited this tool from
another one where I actually did need
the LinkedIn but anyway you can see I
found a LinkedIn URL here of the company
and here I'm actually also trying to
find the LinkedIn of the contact person
so you can see similar process and we
found also LinkedIn of the of the
contact person now here's where the
interesting part starts where's the
observation mining right so here we're
going to sort of look for those
observations that I mentioned before
which we want to personalize our video
videos on so the first one is of course
are they hiring for a bdr or any sales
position right so basically what we do
is we use the Google search API step if
you don't know you could just add them
here they're already built into
relevance AI the Google search API and
all we do is we put in the variable here
in the double brackets of the company
URL and we add in careers because we
want to add find the career page and
with the career page we're going to
scrape that page and actually sort of
identify if they're hiring for these
specific positions or not so the thing
is many of these companies have actually
have uh multiple career sites right they
might have one on their own website then
they have some on these public websites
where they post platforms Etc so what I
instruct this L&M to do is actually to
extract three different uh career
websites for this company so it will I
can I can read it quickly your
professional Google search researcher
specializes in identifying the career
pages and URLs of the following company
so your task going to be to identify the
career page of this company right so
basically you can read this in detail
again in the template but basically what
it does is like up to three different
career pages and then output this um
result into a Json right why do we do a
Json because we want to separate the
outputs if you want to know in detail
again I have more information on Json in
my other video uh anyway we get we get
three different URLs here right and then
we use the convert string to Json where
we actually get the Json into the
multiple outputs and then we can store
each of these in a different variable
and then what we're doing is we're using
these to and we're going to scrape all
of these pages right so we put in the
first variable here in again this is the
build-in web scraper of relevance AI so
we scraped the first website here so you
can see here's all the scraped here's
the scraped page we scraped the second
page
too and the third page and then we feed
this all to an L&M and say identify if
this company as a top tier AI analyst
you extracting meanful insights from
complex data sources uh you've been as
tasked with analyzing the scraped career
pages of company and in this
case right you will identify the amount
of open positions this company has for
the following job R sales development
representative or Business Development
representative bdr so we can see site
sit has one open position for sales
development representative and one open
position for business development
representative so in this case I add in
one more step I basically put in this
outcome and it's sort of an evaluation
step and say you're worldclass AI
categorization specialist you've been uh
tasked to analyze the following
observation result so here we'll
basically say okay is this
searching if the company is hiring for
the
bdr uh uh position a success successful
observation or not and in this case we
have successful so because it's
successful we're actually not running
the next step which is in the next step
we're going to look for the funding
round if they had a recent funding round
but as we've already in this case had
the best observation possible which is
they're hiring for a bdr we are put in a
a condition in the rest of these steps
that you don't have to
run right if the if the outcome of this
was actually successful so this whole
part shouldn't have to run and then the
last one is just categorization right so
it puts a categorization on the research
result which this is the output we get
inside of our make right as you can
see the output here of our tool is
highering Cadence right and that is
exactly the filter we set up in this
next step so we put a router here to
sort of decide to which video template
it goes so how do you connect this
relevance AI um app so basically we have
to set up an
HTTP make a request
module then the URL we're going to find
if you if you came and you've cloned
this tool you can you will come to a
screen just like this and then you have
this option API where an endpoint which
you can copy and paste in the URL then
you can paste that there then you have
method which is
post then you have to add two
headers and I can show you that here the
first header is content type application
Json you can also find that back
here right in the sample curl you can
see Conta type application Json so you
can literally just copy and paste this
and then the second header will be the
header will be authorization and then
you'll have to put in as the value your
API key so you can generate your AP API
key right here so you click on that you
copy that you paste it in the second
here I'm not going to show you my API
key but that's it and then in the end
all you
do so you do Post you paste in the URL
you put in the headers then you have to
always select raw as the body type and
content type is application
Json and then for the request content
you can also go back and then you copy
this request body
and here's where you put in the
variables so in this case our app our AI
app needs the contact name so we go back
to hopspot in this case if you have a
different CRM of course you have to pull
it from there so we have to get the
name between these quotation marks right
the company name and the contact email
so you do that for all three and then
you always select here par response and
okay then that one is SA set
up and then I'll show you now how to
actually set up this um senspark API so
again right this template is available
in the description below so for the
senspark API you do need the paid plan
so they actually say that you only have
access to the API at the $150 plan but
that's not true you can actually access
it with a $50 plan $50 plan I think you
get $500 personalized video minutes uh
which is quite good and then you go to
the API credential Tab and these are
going to be the important ones is your
API workspace
ID and of course your API key and secret
key right so if you have downloaded my
template my make.com template you will
find this here already so if you go in
here you will see this
URL and you will have to switch out this
part the part behind workspaces you'll
have to fill out your workspace which
you can find inside of sense Park here
right so you copy that in and you change
this part and then also the second part
you're going to change is the Dynamics
now the Dynamics is the campaign the
personalized campaign you created so I
will show you here here are all the
different campaigns for example this is
my hiring like the bdr campaign so I
look at the URL and then I just take
this last part before
list and that part part is the dynamic
ID so we copy that and we paste it in
this part before Prospect right and
that's basically how it identifies to
which campaign it should send it so for
each of my templates that part is
different because I'm using different
templates so and then in in um sens
spark you actually need three different
headers right we have the same one as in
relevant content type application Json
now the second header will be your API
key which you find back here in your API
credential dashboard so here you have
your API key please don't use it guys
you'll need the secret one anyway so you
copy in the API key here and and then
the third header is the uh secret API
key which you can generate on that same
screen right create new key and then
you'll get your secret key here so those
are the three headers then lastly you
will need to select again body type raw
content type application Json
here's the request content you can find
it in the documentation page of senspark
or just use my template here because it
will be the same for you um and then you
fill out of course the variables here
the contact name with the variable from
hopspot first name email and a
background URL right this is one is
important because this is what zark puts
behind your video all right so this this
is the one of the company of course and
part response yes and then we're all set
up so the way this works then is we then
send the lead to instantly right so we
we add them to a campaign of course you
can change this out for your specific
email uh sender or provider but in my
case I use instantly so I I select the
campaign I add in the lead and the first
name now I actually didn't have to add
in the video uh why because the video
actually takes a little bit to put in
and what you can do this is what
senspark has as a feature
if you're in your Dynamic videos you can
actually just paste in a snippet already
inside of your instantly campaign so if
you go here to share
campaign and you click your email
provider they have many available
already in my case instantly you can
just copy a snippet a code snippet you
then go to your instantly campaign and
let's
say you have a new email
here let's create a new one
so all you do here is you do code view
you paste in the snippet go back and now
it will auto automatically sort of
personalize it so we'll identify through
the email that uh which personalized
email it is from these from these list
you you generate so you don't actually
have to send it inside of instantly you
just can paste in this snippet of code
and they will automatically identify
which video to pull for which contact so
that's all you need to do there and then
you you can send your personalized email
so that's it and then the last part
really is I update my CRM so the the
enrolled column which tells me if these
people have been enrolled in my
personalized Outreach or not I Chang the
value to yes so in that case I won't
pull them again and put them in a new
campaign
so that's the setup I have of course to
customize this to you you do have to
think about what is your use case right
what are you selling what are good
observations uh for you to reach out to
and then of course besides the
personalization of the name and the
background you want to change your
relevance AI app to sort of find these
um observation points that are relevant
to you and then make your templates
based on that now if you want the really
simple version you you can also just
leave out this part of relevant say High
and the router part and basically just
go hopspot to send spark and then add it
to your instantly campaign and hop spot
and in that case of course you don't
have the extra personalization of the
observation but you will still have an
automatic
personalization of uh the name and the
background URL in your video uh I hope I
hope you guys enjoyed this video and
learned something today I know it's a
little bit of a long one and maybe a
little bit complicated but if you do
have any questions please let me know in
the comments below if you got any value
out of it I'd appreciate it a lot if you
can like And subscribe to my channel I
try to get a lot more content like this
out and I am also available for
Consulting calls if you're interested in
some business solution for yourself and
thank you so much for watching and I
hope to see you in the next one CH Chow
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