Rockerbox is the measurement platform of record. Cresva is the workforce that acts on measurement.
Both invest in measurement methodology. Rockerbox unifies MTA, MMM, and Incrementality with broad offline-media coverage. Cresva embeds the same measurement primitives inside a workforce that also forecasts, tests, and delivers recaps.
Cresva
RockerboxMethodology of record vs. workforce architecture.
Rockerbox and Cresva both invest in measurement. The architectural difference is shape: Rockerbox positions as the platform of record - a single source-of-truth measurement layer combining three methodologies. Cresva embeds the same measurement primitives inside a workforce that also acts on them.
Methodology of record as the architectural primary
Rockerbox positions itself as the platform of record for all marketing measurement. The architecture unifies MTA, MMM, and Incrementality across 100+ integrations including offline media (CTV, linear TV, direct mail, podcasts). (Per their marketing.)
Workforce that uses measurement
Cresva's foundation is a memory layer shared across seven agents. Parker handles attribution, Felix forecasts, Sam tests, Dex delivers. The same measurement signals flow through the same workforce that reallocates budget and ships the recap.
How each handles specific capabilities.
Unified measurement platform positioned as the platform of record for all marketing measurement.
(per their marketing)Memory layer shared across 7 agents; measurement signals feed forecasting, testing, and recap delivery in the same workforce.
MayaMTA for tactical campaign-level insights, MMM for strategic planning and forecasting, Incrementality Testing to validate true channel impact - all unified.
(per their marketing)Parker handles attribution, Felix handles forecasting, Sam handles scenario testing. Cresva does not package all three as a single methodology-of-record product.
ParkerTracks digital channels plus offline media including CTV, linear TV, direct mail, and podcasts; 100+ integrations.
(per their marketing)Curated core integration set: Meta, Google, TikTok, Shopify, Klaviyo, GA4. Cresva does not match Rockerbox's offline-media coverage.
DanaScenario Planning marketed as a way to forecast budget shifts and channel tradeoffs with confidence.
(per their marketing)Felix runs Prophet/ARIMA forecasts with confidence intervals inside the same workforce that runs reallocations and recap delivery.
FelixAnalyst-facing measurement reports as the primary surface; replaces biased platform data with objective truth across the channel mix.
(per their marketing)Day-shaped delivery cadence: morning brief, midday actions, end-of-day recap. The workforce delivers; the dashboard is not the surface.
DexFree tier for sub-$5M ad spend; Starter from $150/mo for sub-$1M Shopify brands; specific pricing via their pricing page.
Source ↗Pilot-based, contact for full pricing.
Acknowledged strengths. Where Rockerbox earns its place.
Sourced to their public marketing.
Unified MTA + MMM + Incrementality
Three primary measurement methods integrated into one platform of record, with each method positioned for distinct decisions.
per their marketingOffline media coverage
CTV, linear TV, direct mail, and podcasts attribution; 100+ integrations across the channel mix.
per their marketingScenario Planning forecasting
Budget shifts and channel tradeoffs as a named feature inside the measurement platform.
per their marketingArchitectural decisions that earn the difference.
Methodology of record is one shape. Cresva's shape is workforce-embedded measurement: the same signals that Parker reconciles also reach Sam's playbooks and Dex's recap.
Measurement embedded in a workforce that acts
Parker's reconciled attribution and Felix's forecasts feed the same memory layer Sam reads from when running scenarios.
ParkerWorkforce action layer
Rockerbox measures and reports; Cresva's seven agents measure and ship decisions across the day.
SamDay-shaped delivery cadence
Morning brief, midday actions, end-of-day recap. The measurement signal lands inside a delivery rhythm, not an analyst report.
DexPer-brand context that compounds
Maya writes each outcome back to the memory layer; next quarter's forecast reads what worked on this brand, not on the category average.
MayaWhich fits your shape.
Methodology rigor is your highest-priority requirement
A single source-of-truth measurement layer matters more than workforce action.
You run significant offline media
CTV, linear TV, direct mail, podcasts as part of the channel mix.
Your team prefers analyst-facing measurement reports
Methodology depth visible at the report layer is the architectural strength.
You want measurement embedded in a workforce that acts
Forecasting, attribution, testing, creative, recap in one team.
Your shape is DTC ecommerce on the core ad platforms
Meta, Google, TikTok, Shopify, Klaviyo, GA4 covers the surface.
Day-shaped delivery cadence fits how your team works
Morning brief, midday actions, end-of-day recap.
Per-brand context that compounds is the priority
Memory is account-specific, not pattern-matched across the category.
Questions about Cresva vs Rockerbox
Both Rockerbox and Cresva measure attribution. What's actually different?
Architecture, not whether measurement is present. Rockerbox's architecture is methodology-of-record: MTA + MMM + Incrementality unified, with analyst-facing reports as the surface. Cresva's architecture is workforce-up: a memory layer shared across seven agents that act on what's measured. Same primitive, different shape.
Does Cresva match Rockerbox's offline-media coverage?
No. Rockerbox's coverage of CTV, linear TV, direct mail, and podcasts inside one measurement platform is genuinely category-leading. Cresva runs on a curated core integration set (Meta, Google, TikTok, Shopify, Klaviyo, GA4). If significant offline media is part of your channel mix, Rockerbox's architecture serves that need directly.
When should I choose Rockerbox over Cresva?
If methodology rigor as a single source of truth is the primary purchase criterion, if you run significant offline media, or if your team prefers analyst-facing measurement reports over workforce-embedded action, Rockerbox's architecture serves those needs directly.
What does the Cresva pilot look like?
14-day pilot structure. First reconciled view inside 48 hours after OAuth. Full compounding effect rolls in across the pilot. Architecture target: exact onboarding speed depends on data history and integration count.
Other competitors we compare to.
See the workforce architecture on a single brand account.
If the workforce architecture earns its place inside the 14-day pilot, scale across the portfolio. If your shape calls for a methodology-of-record measurement platform with broad offline-media coverage, Rockerbox's architecture is the right fit and we'll say so.