2. Predicting Lead Conversion with No-Code Machine Learning

Today, we’re gonna build a model to predict which leads are likely to convert.

We’ll start by:

  1. Reviewing the dataset
  2. We’ll then build a Machine Learning model for predicting lead conversion
  3. And instantly see how we can make predictions and share them with others on the team.

So let’s get started.

Number 1: Reviewing the dataset

In this dataset, every single row is a prospective lead that has engaged with the brand.

And every column tells us something about that lead.

Like Source, City, whether they downloaded the whitepaper or not, etc.

At the end, we have a column here called Converted.

This tells us if a lead in that row has converted, Yes or No.

This is a historical dataset.

And we now wanna use it to predict if a new lead is likely to convert.

Number 2: Building the machine learning model

To build a model, we start by uploading this CSV. 

We can upload spreadsheets,

Connect to apps & services like Salesforce and Dropbox

And even databases like MySQL and BigQuery.

Once uploaded, all you have to do is select your prediction column. 

In this case, it’s the Converted column.

From here, Obviously AI will automatically build a machine learning model to make predictions, in less than 1 minute.

Number 3: Make predictions and share with your team

Once your model is built, it’s ready to be used right away. No deploying, no maintenance.

You can see it’s accuracy and performance details here. 

Seems like we’re good to go!

We start by heading to Personas to make a first prediction.

Let’s say we have a new lead.

They’ve come through Google, have spent about 50 minutes on the website and they happen to be a working professional.

As I change these details, I can see the prediction for this new lead come up right here.

Probability to convert is 75%!

Now, let’s head to export predictions. We can upload a list of new customers and get a prediction on each one. An API can also be used to automate these predictions and embed them in your own app or website.

You will also have the option to get a shareable link to send to anyone on your team. It will enable them to use the model you built to start making their own predictions.

So, what would you like to predict today?

Complete and Continue