This AI Video Sales System Books Me 30+ meetings/Mo (Make.com + Relevance AI)

Summary

En 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

00:00

😲 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.

05:01

🤖 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.

10:03

🔍 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.

15:04

🛠 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.

20:04

🔗 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.

25:05

🌐 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.

Keywords

💡AI automatizado

El término 'AI automatizado' se refiere a la utilización de inteligencia artificial para realizar tareas de manera automática y sin necesidad de intervención humana. En el video, se menciona que el creador utiliza un sistema de video personalizado automatizado para mejorar las tasas de respuesta en sus correos electrónicos de contacto. Este concepto es central en la temática del video, ya que muestra cómo la tecnología puede mejorar la eficacia en el marketing y el contacto con clientes potenciales.

💡Tasas de respuesta

Las 'tasas de respuesta' son una métrica utilizada para medir la efectividad de una campaña de marketing o comunicación, refiriéndose al porcentaje de personas que responden a un mensaje o correo electrónico. En el contexto del video, el creador destaca que su sistema de video personalizado ha logrado tasas de respuesta del 18%, lo que indica un alto rendimiento en comparación con otros métodos de comunicación.

💡Video personalizado

El 'video personalizado' es una técnica de marketing que involucra la creación de contenido de video adaptado a las necesidades y preferencias de cada espectador. En el video, el creador explica cómo utiliza videos personalizados para aumentar la personalización en sus comunicaciones de correo electrónico, lo que resulta en un mayor interés y compromiso por parte de los destinatarios.

💡Senspark

Senspark es una plataforma mencionada en el video que se utiliza para personalizar videos. La herramienta permite clonar la voz del usuario y personalizar el nombre del prospecto, así como incluir el URL de la empresa en el fondo del video. Esta herramienta es crucial en la estrategia de personalización del creador, ya que permite una mayor conexión emocional y relevancia con el destinatario del mensaje.

💡Relevancia AI

Relevancia AI es una herramienta que el creador utiliza para realizar investigaciones sobre los prospectos y encontrar observaciones relevantes para personalizar sus videos. En el video, se explica cómo esta herramienta ayuda a identificar si una empresa está contratando para un puesto de BDR o si ha recibido recientemente una ronda de financiamiento, lo que se utiliza para personalizar aún más los videos y aumentar su efectividad.

💡Observaciones relevantes

Las 'observaciones relevantes' son detalles o información específica sobre una empresa o individuo que se pueden utilizar para personalizar y hacer más efectiva una campaña de marketing. En el video, el creador busca observaciones como la contratación de un BDR o una ronda de financiamiento reciente para personalizar sus videos y hacer que el mensaje sea más atractivo y relevante para el destinatario.

💡BDR (Agente de Desarrollo de Negocios)

BDR es la abreviatura de 'Business Development Representative', que se traduce como 'Agente de Desarrollo de Negocios'. En el video, el creador busca empresas que estén contratando para este tipo de puestos, ya que considera que es una buena oportunidad para presentar su servicio de agente de BDR de inteligencia artificial. Este término es clave en la estrategia de personalización, ya que se relaciona directamente con el servicio que el creador está promocionando.

💡Ronda de financiamiento

Una 'ronda de financiamiento' es un evento en el que una empresa obtiene capital de inversionistas para expandir sus operaciones o desarrollar nuevos productos. En el video, el creador utiliza la información sobre rondas de financiamiento recientes como una forma de personalizar sus videos y conectar con las empresas que podrían necesitar su servicio de agente de BDR debido a su necesidad de aumentar las ventas y el crecimiento.

💡Instantly

Instantly es una plataforma de correo electrónico que el creador utiliza para enviar sus videos personalizados a los prospectos. En el video, se explica cómo se integra con la herramienta de Senspark para personalizar los videos y cómo se utiliza para enviar campañas de correo electrónico con videos personalizados. Este servicio es esencial en la estrategia de automatización y personalización del creador.

💡CRM (Sistema de Gestión de Relaciones con Clientes)

CRM es la abreviatura de 'Customer Relationship Management', que se traduce como 'Sistema de Gestión de Relaciones con Clientes'. En el video, el creador utiliza un CRM para gestionar sus prospectos y automatizar el proceso de envío de videos personalizados. El CRM es fundamental en la estrategia del creador, ya que le permite mantener un registro de los contactos y sus interacciones, así como actualizar el estado de la relación con el cliente.

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