Data That Thinks Ahead Warns Early Guides Fast Wins Big
Predictive Analytics
We don’t just track data — we weaponize it. Our predictive analytics solutions forecast customer behavior, campaign performance, and revenue trends so you can act with certainty, not gut instinct.
Predictive Analytics
Predictions That Spot Risk Drive Sales Predict Behavior Maximize ROI
We help you see the future of your revenue, customer behavior, and performance — then act on it with data-backed confidence.
See what’s coming — and shape what happens next.
We turn your data into decisions with AI-driven forecasting that cuts through the noise and reveals exactly where to focus, spend, and scale.
With predictive analytics, you can:
✅ Spot revenue shifts before they hit your bottom line
✅ Prevent churn by flagging high-risk customers early
✅ Forecast campaign outcomes without wasting budget
✅ Hyper-personalize offers that your customers can’t ignore
✅ Nail demand, inventory, and sales planning with precision
What We Do at THEMAYK
3D Services That Explain Reveal Engage Convert
We dig deeper than “step 1 to step 5” to uncover everything messing with your conversions.
Customer Behavior Forecasting
Know who’s likely to convert, upgrade, or churn — and when.
Marketing Campaign Prediction Models
Get forward visibility into channel performance, spend efficiency, and conversion forecasts.
Sales & Revenue Forecasting
Turn your pipeline into a performance map — spot bottlenecks, timing, and hidden revenue loss.
Churn Prediction & Retention Scoring
Identify flight risks and trigger interventions based on smart scoring systems.
Custom Machine Learning Models
Built around your dataset, your market, and your KPIs — not just generic plug-ins.
Designed for Founders Ready to Scale
What If You Could Predict React Personalize Profit
1. Data Discovery & Goal Alignment
We map your KPIs to the right data sources, timelines, and prediction windows — setting the foundation for results-driven modeling.
2. Custom Model Development
We design and train models (regression, classification, clustering, etc.) tailored to your unique business objectives and data profile.
3. Validation, Tuning & Deployment
We test predictions against real-world outcomes, fine-tune variables, and push insights into your existing tools — from CRMs to dashboards.
4. Continuous Optimization
We don’t set and forget. We monitor performance, retrain models as needed, and evolve with your data for compounding strategic gains.
We don’t build in silos
One Win Among Of From Behind Many
We do this weekly. For fintech, SaaS, ecomm, and brands who can’t afford guesswork.
A fast-growing B2C subscription app was bleeding users every month — and couldn’t pinpoint why. We built a machine learning–based churn prediction model that analyzed behavioral signals (session frequency, feature usage drops, support interactions) across 500K+ user records.
Within 6 weeks, the model reached 81% prediction accuracy for likely churners. We integrated it with their CRM to trigger automated, personalized retention offers — such as plan extensions, in-app credits, and support nudges — targeted before users dropped off.
81% prediction accuracy
34% reduction in monthly churn within 90 days
Result?
unlocked over $250K in retained ARR — all from smarter timing and data-backed nudges.
Need to show more than static can sell?
FAQs You Think. Ask. Search. Need. Answered
What is predictive analytics in marketing?
Predictive analytics uses historical data and AI models to forecast marketing outcomes like conversions, churn, and campaign ROI.
How accurate are predictive analytics models?
Accuracy depends on data quality and model type, but well-trained models often exceed 80%+ accuracy in real-world tests.
Why should businesses invest in predictive analytics?
Because it turns uncertainty into strategy — letting you anticipate customer behavior, optimize spend, and prevent loss.
What data is needed for predictive analytics?
CRM logs, user behavior, past campaign results, purchase history, and product usage metrics are typical starting points.
How does predictive analytics improve customer retention?
It flags at-risk users before they churn, enabling you to run targeted interventions that boost retention and LTV.
Can you integrate with our CRM or analytics platform?
Yes — we work with HubSpot, Salesforce, Mixpanel, and custom tools to pull and push data seamlessly.
Will your models work with our messy or incomplete data?
We clean, transform, and engineer features even from chaotic datasets. No perfect data required.
Do you build custom models or use third-party tools?
We do both — based on your goals, tech stack, and whether off-the-shelf or bespoke fits best.
Can predictive analytics help with sales forecasting?
Absolutely. We model deal velocity, close rates, and seasonality to build sales maps that drive smarter decisions.
How long does it take to see results?
Initial insights come fast — often within 2–4 weeks. Long-term models improve with iteration and volume.