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Built for Performance Agencies
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Uncover gold in your client data and use that to supercharge your campaigns with our no-code AI tool. Access machine learning without hiring a data science team.
Perfect for Performance Agencies looking to lead with data-driven excellence.
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Loved by 100s of modern businesses
What Makes Graphite Note So Powerful
Machine Learning is hard. We make it simple.
Step 1
Connect to your data
Any tabular business data should do, Graphite Note will automatically pre process and prepare data for AI modeling.
Easily explore patterns, problems and associations in your data.
Step 2
Train AI models, no code
Train your AI models without writing single line of code, based on Graphite Note library of AI templates for various business use cases.
Step 3
Understand Key Drivers
Key Drivers Analysis – Graphite Note identifies and presents the critical factors impacting your model’s predictions, empowering your decision-making with clear, data-driven insights.
Step 4
Predict Future Outcomes
Predict future trends and behaviors based on your Model.
Additionally, explore “what-if” scenarios – the ability to test various hypotheses and assess their impact without taking real-world risks.
Step 5
Get Actionable Insights
Next-best-actions – Graphite Note GenAI will create tailored narrative and prescriptive analytics to boost your decision making.
This is not a general advice, this is based on your data!
Most Popular Use Cases
Generate, visualize, & share business predictions with your clients in just a few clicks.
Predict Lead Conversion
Rank your sales leads by likelihood to convert and help your salespeople prioritize which leads are worth pursuing.
Sales
Marketing
Predict Revenue
Predict your revenue accurately and plan your business goals accordingly.
Sales
Finance
Product Demand Forecast
Plan and schedule your production, prepare your inventory stock, and develop an optimal pricing strategy.
Sales
Product
Predict Customer Churn
Identify the customers you are about to lose and retain them before it becomes too late.
Sales
Marketing
Predict Cross-Selling
Identify which items or services existing customers might like to add to their current purchases and increase your revenue stream.
Sales
Marketing
Product
ABC Product Analysis
Determine the value of inventory items based on their importance to your business.
Sales
Finance
Product
Segment Customers or Products
Divide your customers into segments based on common characteristics and approach them more effectively.
Sales
Marketing
Predict Deal Size
Predict the volume and revenue stream for each and every deal and help your sales team prioritize deals for optimum profit.
Sales
Marketing
Finance
Customer Retention Analysis
Predict the number of returning customers and estimate your revenue stream accurately.
Sales
Finance
Add Whitelabel AI analytics to your service offering
Showcase Your Brand: Utilize Graphite Note's white-labeling feature to add your company's logo and branding to your reports and Notebooks. This customization not only enhances your professional image but also maintains brand consistency across your analytics offerings.
Customize with Your Branding
Graphite Note Notebook is designed to transform the way businesses and agencies use data to drive decision-making and client services.
Our platform enables you to dive deep into data analytics, share insights, and deploy predictive models with ease.
Discover how you can use Graphite Note to bring data narratives to life, make predictions, and customize your analytics environment.
See Graphite Note in Action
Explore our Live Demos and experience how you can create a new AI service offering to provide added value to your clients.
RFM Customer Segmentation
RFM (Recency, Frequency, Monetary) Customer Segmentation is crucial for several reasons.
RFM segmentation allows companies to tailor their marketing efforts based on individual customer behavior. By understanding the recency of a customer’s interactions (such as their last purchase or data usage), the frequency of their engagements, and the monetary value they contribute (their billing amount), companies can personalize marketing messages and offers to target specific customer segments more effectively.
Ads Campaign Analysis
XYZ company wants to utilize advanced technology, such as machine learning, to enhance its advertising campaigns and improve its return on investment.
Despite utilizing various marketing strategies across different platforms, such as YouTube, Facebook, Instagram, and websites, the company has been experiencing suboptimal performance in its campaigns.
By utilizing machine learning, they aim to analyze their data, uncover hidden patterns, and increase the effectiveness of their advertising campaigns by optimizing for higher click-through rates and conversions.
Marketing Mix Model
Marketing Mix Modeling (MMM) is a sophisticated technique that analyzes the impact of marketing variables on sales performance. By quantifying the effectiveness of each element in the marketing mix, MMM helps businesses allocate their resources more efficiently and improve the ROI of their marketing efforts.
This approach utilizes historical data to understand how various factors, such as advertising, promotions, and price changes, drive sales, allowing for informed decision-making when it comes to budget distribution across different media channels.
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