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Graphite Note Models

No-Code Machine Learning Models
for your every need

Make impactful decisions with Graphite Note’s growing selection of ready-to-use AutoML models
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Here’s what you can
predict with Graphite Note…

Historical Data + Graphite Note = A future-ready business

Sales

What is our revenue forecast for the next 365 days?

How much inventory should we stock tomorrow, or 30 days from now, to meet demands?

Which sales leads are going to convert?

Demand

Taking the effects of promotion and holidays into account, what is my products’ demand for the next 90 days?

When is the best time to restock your bestsellers?

Churn

At what rate do your customers stop engaging with your business and why?

Which month do you lose the most customers?

Who is going to cancel next and why?

Customer Lifetime Value

How much is your net profit per customer from their first to last projected purchase?

I want to create customer cohorts to help find product market fit and decide what to focus on next

Enjoy click-to-connect AutoML models for a wide
range of advanced analytics business needs

A predictive analytics solution for your every question

Timeseries Forecast

Timeseries Forecast

Visualize seasonal trends or patterns and dig deeper into why they occur.
General Segmentation

GENERAL SEGMENTATION

Understand your market and other aspects of your business based on...

· Demography (Who)
· Psychographics (Why)
· Geography (Where)
· Behavior (How)
· More!

RFM Customer Segmentation

RFM Customer Segmentation

Determine your Best Customers, High-Spending New Customers, Lowest-Spending Active Loyal Customers, Churned Best Customers, and more using their...

· Purchase history
· Browsing history
· Prior campaign response patterns
· Demographics

New vs Returning Customers

New vs Returning Customers

Determine the ratio of your new vs returning customers per day, week, or year.
Customer Cohort Analysis

Customer Cohort Analysis

Isolate, analyze, & detect patterns within your customer journey so you can predict their behaviors & improve retention.
ABC Analysis

ABC Analysis

Test and analyze your messaging, product launches, listings, and more so you can launch successful marketing campaigns.
Binary Classification

Binary Classification

Predict the outcome of your campaigns based on yes/no scenarios like...

· Will your email be marked as Spam? (Yes/No)
· Will your customers buy Product A? (Yes/No)
· Will your customers convert via Ads (Yes/No)

*This model can also be used for scenarios with two outcomes
Multivariate Classification

Multivariate Classification

Predict the outcome of your marketing, sales, and other campaigns based on scenarios with three or more possible outcomes.

Example: Which customer is most likely to purchase Product A?

a) New Customer
b) Returning Customer (after 1st purchase)
c) Returning customer (after more than 2 purchases)
Regression

Regression

Leverage AI-powered models to determine what factors matter most, what factors can be ignored, and how they interact, across any aspect of your business.

Example: How does your customer’s age groups affect their purchase behavior?

a) Ages 30-45 are most likely to buy Product A
b) Ages 30 below are less likely to buy Product A but more likely to buy Product B
Customer Lifetime Value

LTV

Use your historical data to determine how long a customer relationship is likely to keep buying from you and how much your net profit will be so you can…

· Improve customer experience
· Reward your best customers
· Know which communication channel your customers prefer

More to come soon!

More to come soon!

Graphite Note is on a mission to answer any business question, which is why our team is continuously working to expand our selection of no-code models!

Timeseries Forecast
Binary Classification
Multiclass Classification
Regression
General Segmentation
RFM Customer Segmentation
New vs Returning Customers
Customer Cohort Analysis
ABC Analysis
Customer Lifetime Value
More to come soon!

Timeseries Forecast

Time-series forecasting is looking at recorded data over time to forecast or predict what might happen in the next time period, under the assumption that future trends will be similar to historical trends.
· What revenue are we going to have 6 months from now?
·  How much inventory should we stock tomorrow, or 30 days from now, to meet demands?
· How many customers will return next week or month?
·  What is the effect of our product promotion and what can we expect from future promotions?

Binary Classification

Predict the outcomes from your data based on binary labeled scenarios like...

· Will your customers cancel your app subscription? (Yes/No)

· Who is going to churn and why?

· Will your email be marked as Spam? (Yes/No)

· Will your customers buy a Product or a Service? (Yes/No)

· Will your customers convert via Ads (Yes/No)

GENERAL SEGMENTATION

With General segmentation, you can find out hidden similarities in your data. It's an unsupervised algorithm that segments the data into groups, based on some kind of similarity between the numerical variables.
· Segment your Customers based on recency, frequency, monetary

· Segment your products based on selected values

· Segment any business entity based on selected metrics

RFM Customer Segmentation

Determine your Best Customers, High-Spending New Customers, Lowest-Spending, Active Loyal Customers, Churned Best Customers, and more using their...

· Purchase history

· Recency of purchase

· Buying Frequency

· Amount spent on our products / services

New vs Returning Customers

Determine the ratio of your new vs returning customers per day, week, or year.

· I  want to see the number of new and returning customers per month

· How good is my business in retention? Is it declining in time?

· How much revenue do we get from our returning customers?

Customer Cohort Analysis

Isolate, analyze, & detect patterns within your customer journey so you can predict their behaviors & improve retention.

·  I want to compare customers who purchased this month against other months

·  I want to understand how a promotion performed across different customer segments

· Need  to track customer lifetime value, number of orders, or average sale value among different customer cohorts

ABC Analysis

Test and analyze your messaging, product launches, listings, and more so you can focus on the important stuff.

· What are my most important products or customers, bringing most revenue “the vital few”

· What are my least important products or customers “the trivial many”

· Pareto principle: I want to know which products contribute to 80% of my revenues?

Multi-Class Classification

Predict the outcome of your marketing, sales, and other campaigns based on scenarios with three or more possible outcomes.

Example: Which customer is most likely to purchase Product A?

a) New Customer
b) Returning Customer (after 1st purchase)
c) Returning customer (after more than 2 purchases)

Regression

Leverage AI-powered models to determine what factors matter most, what factors can be ignored, and how they interact, across any aspect of your business. Predict numerical variables.

Examples: 

i) What is my sales lead expected deal size?

ii) Predict product price based on different attributes 

iii) Predict employee salary baed on other attributes

Customer Lifetime Value

Use your historical data to determine how long a customer relationship is likely to keep buying from you and how much your net profit will be so you can…

· Improve customer experience
· Reward your best customers
· Know which communication channel your customers prefer

More to come soon!

Graphite Note is on a mission to answer any business question, which is why our team is continuously working to expand our selection of no-code models!


Have an idea not covered by our models yet? Awesome! Kindly drop us an email.
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