All language subtitles for 02 - Lead generation marketing applications

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Original subtitles

- [Instructor] Now that we have learned

what Agent AI is and how it works,

let us look at some applications.

Later in this course, I will guide you with some tools

to build out agent AI applications

absolutely with zero code.

Agent AI automates workflow by making human decisions

using reasoning power of LLMs.

Can you imagine what you would like to automate

with agent AI in marketing?

Write your ideas in a notepad.

Don't worry about whether you have the data

to build this agent AI.

We are exploring ideas without any limits.

To design agent AI to automate purposefully to help humans,

the first step in imagining use cases is always

to think about why you want agent AI to do this work

and what are the benefits to people.

Here are top three use cases in marketing,

which lend itself to using agent AI.

Lead gen, campaign management, personalization.

Let us look at lead gen.

How is this done traditionally?

Customers are engaged on a website or app,

and the clicks are analyzed to optimize

the customer path to lead them to an action.

A customer funnel is built based on

what stage of interest, consideration,

or purchase is the customer at to lead them

along the buyer cycle.

This involves creating many different website

landing pages and A/B testing what works for the customer.

New creatives are created and new websites are created.

Data is collected at every stage

and analyzed to decide on the best next action

on how to move the customer along with the customer funnel.

Can you see how this lends itself to building an agent AI?

Agent AI first breaks down the tasks to multiple steps,

and then it runs each task

and makes decision using reasoning along every step.

So for lead gen, agent AI can generate websites,

it can generate creatives and landing pages.

How does it do it?

It uses tools like web search

and website generation tools.

Next, it'll collect customer data to do A/B testing

and compare what works best towards a goal

of better leads collected.

Can you say what type of Agent AI

can be used for this step?

Correct, it can be a goal-based agent,

like what we learned in chapter one.

Agent AI can analyze customer data and reason

and filter customers to build out

the customer funnel for us.

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