Analytics · Prescriptive
Campaign Modeling
Simulate message, channel, and spend scenarios before you commit budget, so every campaign dollar moves to the audiences and touchpoints with the highest predicted return.
What it does
Improve campaign effectiveness with data-driven design.
Audience segment targeting
We model customer segments by behavior, conversion rate, and lifetime value, so spend reaches the journeys most likely to respond and retain.
Channel mix modeling
We simulate performance across email, search, social, and display to recommend the media mix that lifts conversions without wasting budget.
Outcome forecasting
We project impressions, conversions, CPA, and ROI for each scenario with a confidence score, so teams prioritize the campaigns most likely to win.
Spend allocation scenarios
We test investment levels across channels to find the allocation that maximizes return inside your existing budget envelope.
How it works
Align on goals
Agree the outcomes that matter, from conversion lift to CPA reduction and retention, and define scope and channels.
Gather data
Pull historical campaign results, CRM segments, engagement metrics, and media spend, so models reflect how your customers actually behave.
Build models
Model message, audience, and channel performance to predict how each combination influences engagement and conversion.
Simulate scenarios
Run spend and messaging scenarios to surface the highest-impact targeting, channel mix, and budget shifts before launch.
Deliver strategy
Hand over budget recommendations, scenario comparisons, and dashboards with clear ownership, so teams execute and measure lift.
Powered by the Hub
Run it continuously, on web and mobile
- Unified campaign and customer performance dataset
- Cross-channel performance analysis
- Scenario testing across spend and targeting strategies
- Segment-level response modeling
- Continuous performance tracking and optimization
What you get
Channel performance ranking
Each media channel ranked by modeled ROI, so you see where budget earns its return.
Prediction summary
The forecast KPIs: average predicted ROI paired with model confidence across active campaigns.
Audience segment priority
Each segment scored by conversion strength and lifetime value to guide targeting.
Recommended budget mix
How the optimized budget distributes across channels, weighted toward the highest-return ones.
Market reality
Why this matters now
$2 trillion
in revenue will shift to companies that master personalization over the next five years
Boston Consulting GroupCommon
questions
What is campaign modeling? +
It simulates message, channel, and spend scenarios so you can allocate budget to the highest-impact options before you commit.
How are scenarios tested? +
We model performance across segments and channels, then run scenario analysis for different spend levels and messaging, so you prioritize before launch.
Who uses it? +
Marketing and growth leaders who need to optimize campaign mix and spend. Typical use cases include planning, message testing, and channel allocation.
How does it improve ROI? +
By simulating outcomes before you invest, you shift budget to the highest-impact audiences and touchpoints, guided by forecasting and spend allocation.