Know which leads and budgets are worth it
Leads aren't all worth the same. Prediction uses your own data to estimate what each one may be worth and what your next budget could return.
What is Prediction?
Prediction is the fourth step in the Netmark Intelligent Growth Loop. It uses models built on your first-party data to score leads, assign value, forecast demand, and show what marketing actually caused.
What models learn from
- CRM outcomes
- Campaign results
- Website behavior
Predictive models
Estimates that are monitored and retrained over time.
What you get
- Lead scores
- Lead values
- Revenue forecasts
- Budget scenarios
What's included in Prediction
Scoring & Propensity
Estimate who is likely to convert and what they may be worth over time.
- Predictive lead scoring
- Conversion probability modeling
- Customer lifetime value prediction
- Audience propensity modeling
Value Modeling
Put a value on leads and funnel stages so decisions reflect quality.
- Funnel-stage conversion values
- Lead quality valuation
Forecasting
Project revenue and demand, and compare budget scenarios before you commit.
- Revenue and demand forecasting
- Budget scenario modeling
Attribution & Incrementality
Find out what marketing really caused, using lift tests and mix modeling.
- Incrementality-calibrated attribution
- Conversion lift testing
- Marketing mix modeling
Model Operations
Monitor your models and retrain them so they stay accurate.
- Model performance and drift monitoring
- Ongoing retraining
How Prediction connects to the loop
From Measurement
Clean first-party lead and revenue data gives the models something real to learn from.
To Optimization
Scores, values, and forecasts become the signals and decisions Optimization acts on.
Prediction questions
What data do the models use?
Your own first-party data, including the lead and CRM outcomes connected during the Measurement step.
What is the difference between attribution and incrementality?
Attribution assigns credit to the marketing a customer touched. Incrementality asks whether the conversion would have happened without that marketing. Netmark uses incrementality to calibrate attribution.
How do the models stay accurate?
Model Operations monitors performance and drift, and models are retrained on an ongoing basis.
Talk to us about Prediction
Tell us where your marketing stands today, and we'll show you what to do first.