Faraday consultants
We can help you automate your business with Faraday and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing Faraday.
About Faraday
Faraday is a predictive analytics platform that uses AI to help businesses understand and act on customer data. It builds propensity models, customer segments, and predictive scores from your existing data — answering questions like which leads are most likely to convert, which customers are at risk of churning, and where to find more people who look like your best buyers. All of this happens without requiring your team to have data science expertise.
The platform connects to common data sources including CRMs, marketing platforms, and transactional databases. Once connected, Faraday enriches your records with demographic and behavioural data, then applies machine learning models to surface actionable predictions. The results feed back into your marketing and sales tools, so your team can act on insights directly rather than staring at dashboards.
For Australian businesses sitting on customer data but unsure how to extract value from it, Faraday offers a practical entry point into predictive AI. Pairing it with a solid automated data processing setup ensures clean data flows into the platform, while working with an AI agency can help you design the right models for your specific business questions. If you already use workflow automation tools, system integrations can push Faraday’s predictions into the platforms where your team actually works.
Faraday is a strong choice for consumer-facing businesses, subscription services, and retail companies that want to move beyond basic analytics toward genuine prediction. If you have customer data and want to know what to do with it, this platform gives you a clear starting point.
Faraday FAQs
Frequently Asked Questions
Common questions about how Faraday consultants can help with integration and implementation
What kind of predictions can Faraday make?
Do I need a data science team to use Faraday?
What data sources does Faraday connect to?
How does Faraday handle data privacy?
Can Faraday push predictions back into my existing tools?
How much historical data do I need for accurate predictions?
How it works
We work hand-in-hand with you to implement Faraday
As Faraday consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate Faraday with integrate and automate 800+ tools.
Step 1
Connect Your Data Sources
Link Faraday to your CRM, marketing platform, or data warehouse. The platform supports a range of common integrations and can also ingest CSV files for initial setup.
Step 2
Define Your Prediction Goals
Tell Faraday what you want to predict — lead conversion, churn risk, purchase likelihood, or another outcome. The platform uses this to determine which models to build and which data points matter most.
Step 3
Let Faraday Enrich and Model Your Data
Faraday enriches your existing records with additional demographic and behavioural data, then trains machine learning models against your defined outcomes. This process runs automatically.
Step 4
Review Predictions and Segments
Examine the predictive scores, customer segments, and insights that Faraday generates. Check that the models align with your business intuition and adjust configuration if needed.
Step 5
Push Predictions Into Your Workflow Tools
Route Faraday’s scores and segments back into your CRM, email platform, or advertising tools. This allows your sales and marketing teams to act on predictions without switching between systems.
Step 6
Monitor and Retrain Models Over Time
As new customer data accumulates, review model accuracy and retrain as needed. Faraday provides performance metrics so you can see whether predictions remain reliable over time.
Transform your business with Faraday
Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Faraday consultation.