How Much Does
Rockerbox Cost in 2026?
Rockerbox is the unified marketing measurement platform combining MTA + MMM + post-purchase surveys for mid-market to enterprise omnichannel brands. Quote-only pricing typically $2K-$50K/mo positions it for $5M+ revenue brands.
Prices in USD, verified from the United States. Regional pricing may vary.
Plans & Pricing
Mid-Market
- targetCustomer $5M-$50M annual revenue
- typicalPriceRange $2,000-$10,000/mo (industry estimate)
- scope Unified Marketing Measurement: MTA + MMM + post-purchase surveys + multi-channel support
Enterprise
- targetCustomer $50M+ annual revenue
- typicalPriceRange $10,000-$50,000+/mo (industry estimate)
- scope Dedicated CSM + Custom data integrations + Advanced MMM + Incrementality testing
From the StackScored blog
Features
Our Verdict
Rockerbox occupies the 'enterprise attribution' segment by bundling three methodologies most competitors sell separately: Multi-Touch Attribution (person-level click + view tracking), Marketing Mix Modeling (aggregate channel-level media effectiveness), and Post-Purchase Surveys (self-reported 'how did you find us' data). For brands spending across many channels (paid search + paid social + affiliate + influencer + podcast + TV + direct mail), this unified view is genuinely valuable — no other platform synthesizes all three data sources as cleanly. The typical Rockerbox customer is a $10-100M DTC brand or consumer subscription company with sophisticated marketing operations. Quote-only pricing is the category norm for this tier; industry estimates put mid-market brands at $2-10K/mo and enterprises at $10-50K+/mo, though negotiated deals vary widely. The post-purchase survey feature is the underappreciated differentiator: when Meta claims 70% attribution and your survey shows only 30% of customers cite 'Instagram,' you have leverage to reallocate spend. Where it wins: only platform bundling MTA + MMM + post-purchase surveys, omnichannel coverage (including offline channels like TV, podcast, radio), enterprise-grade data operations, incrementality testing on Enterprise. Where it loses: quote-only pricing impossible to comparison shop, overkill for brands under $5M revenue or Shopify-first DTC, sales cycle 4-8 weeks, pricing opacity hurts evaluation velocity.
Pros
- Only platform bundling MTA + MMM + post-purchase surveys in one subscription
- Omnichannel coverage including offline (TV, podcast, radio, direct mail)
- Post-purchase surveys reveal attribution gaps platforms don't catch
- Incrementality testing on Enterprise gives true causal attribution evidence
- Enterprise data operations suit brands with sophisticated marketing teams
Cons
- Quote-only pricing — no public tier transparency
- Overkill for Shopify-first DTC brands under $5M revenue
- Sales cycle 4-8 weeks typical before signed contract
- Pricing page was 404 at our verification — data may be stale
- MMM requires 18+ months of historical data to produce reliable models
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