Rockerbox measures the mix.
Cresva moves the budget.

Both do MMM. One gives you models. One gives you actions.

See Cresva in ActionSee Full Comparison

The Core Difference

Modeling Platform vs. AI Workforce

Rockerbox builds models. Cresva builds workflows.

Rockerbox logo
Rockerbox

Modeling-first

MMM Platform

Media mix modeling with incrementality testing. Understand channel effectiveness. You interpret and execute.

1Connect data sources
2Build MMM models over weeks
3Run incrementality experiments
4Analyze results with your team
5Manually implement recommendations

Best for

Enterprise brands with data science teams who want deep MMM capabilities.

Cresva logo
Cresva

Action-first

AI Agent Workforce

Attribution + forecasting + playbooks. Agents analyze, recommend, and deliver actions to Slack.

Connect once, agents take over
Parker measures incrementality daily
Felix forecasts with confidence bands
Sam matches insights to playbooks
Dex delivers actions to Slack

Best for

Teams who want insights that turn into actions without waiting for models.

Capability Matrix

Different Strengths

Media mix modeling
Rockerbox
Industry leading
Cresva
Built-in basics
Incrementality testing
Rockerbox
Geo experiments
Cresva
Statistical lift
Time to value
Rockerbox
Weeks to months
Cresva
Days
Forecasting
Rockerbox
Model outputs
Cresva
Prophet/ARIMA, 91%
Automated actions
Rockerbox
Manual only
Cresva
One-click playbooks
Daily operations
Rockerbox
Periodic analysis
Cresva
Continuous agents

Time to First Actionable Insight

Day 1
Week 1
Week 4
Week 8
Week 12
CresvaCresva
Live
First insights in days, continuous after
RockerboxRockerbox
Model building
Results

MMM models need weeks of data and calibration. Agents start working Day 1.

Real Scenarios

Models vs. Momentum

Rockerbox logo
With Rockerbox
01

Wait for MMM model to finish calibrating

02

Review channel effectiveness coefficients

03

Export to spreadsheet for scenario modeling

04

Build budget allocation recommendations

05

Present to leadership for approval

Weeks of prep before Q4 even starts.

Cresva logo
With Cresva

Ask: 'Model Q4 scenarios with CAC under ₹600'

Felix runs simulations on historical patterns

Sam applies your constraints automatically

Dex delivers 3 scenarios to Slack

Pick one, apply with confidence intervals

Budget scenarios in hours, not weeks.

Feature Comparison

The Full Picture

Rockerbox has deeper MMM. That's their strength. Here's where each excels.

Capability
RockerboxRockerbox
CresvaCresva
Media mix modeling
Industry-leading MMM
Built-in basics
Incrementality testing
Geo holdout experiments
Statistical lift measurement
Model calibration
Deep customization
Automated
Time to value
Weeks to months
Days
Forecasting
Model-based projections
Prophet/ARIMA with CI bands
Automated actions
Manual only
One-click playbooks
Delivery
Dashboard + reports
Slack, Sheets, Slides
Team required
Data science support
Self-service
Pricing
Enterprise (custom)
Contact for pricing

Honest Take

When to Choose Which

We're not for everyone. Here's an honest breakdown.

Rockerbox

Choose Rockerbox if...

  • You need enterprise-grade MMM
  • You have data scientists on staff
  • Model depth matters more than speed
  • You run formal incrementality experiments
  • Budget for enterprise pricing
  • You prefer periodic deep analysis
Cresva

Choose Cresva if...

  • Speed to action matters most
  • You don't have data science resources
  • You want continuous insights, not periodic
  • Forecasting is as important as measurement
  • You manage multiple brands
  • You need Slack delivery, not dashboards

Different tools, different jobs: Rockerbox for quarterly strategic analysis. Cresva for daily tactical execution. Some teams use both.

See the Difference

Book a call. Bring your toughest question.

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