Rockerbox (now part of DoubleVerify) is a marketing measurement platform that combines multi-touch attribution, marketing mix modeling, and incrementality testing into a single system spanning 100+ online and offline channels. It serves mid-market and enterprise DTC brands, typically those spending $500K–$1M+ annually on advertising, with raw data hosted in Snowflake.
Quick comparison
| OneLence | Rockerbox | |
|---|---|---|
| Category | Marketing decision layer | Unified measurement (MTA + MMM + incrementality) |
| Core output | Scale / hold / stop / review / watch decisions with evidence | Deduplicated attribution, MMM results, lift tests |
| Channel scope | Paid, affiliate, creator, referral, organic digital | 100+ channels including TV/CTV and direct mail |
| Pricing | Public flat plans from $49/mo | Quote-based; third-party reports place contracts in enterprise ranges |
| Infrastructure | Self-serve SaaS, no warehouse needed | Snowflake-hosted raw tables, developer-involved setup |
| Best fit | Small/mid teams needing decisions | Data-mature brands validating spend statistically |
What Rockerbox does well
- Methodological rigor. Combining MTA, MMM, and incrementality answers "how many sales would have happened anyway?" (something pure attribution tools cannot).
- Offline channels. TV, CTV, and direct mail coverage few competitors match.
- Data access. Raw Snowflake tables let analytics teams build custom analyses.
- Responsive support, according to reviews.
Where teams hit friction
Setup is demanding: reviewers describe implementations needing dedicated developer time, and pricing is firmly enterprise. For teams without analysts, the output can be another set of dashboards requiring interpretation.
Where OneLence takes a different approach
Rockerbox produces high-quality measurement; someone still has to turn it into budget decisions. OneLence operationalizes exactly that step:
- Decision-first output. Scale / hold / stop / review / watch longer, each with confidence level, evidence, missing evidence, and a next task.
- Timing discipline that flags when signals are too immature to judge.
- Non-paid sources as first-class citizens, affiliate programs and creator partnerships often fall outside enterprise measurement scopes.
- Self-serve and affordable: from $49/month, live in days not quarters.
Who should choose which
- Choose Rockerbox if you spend seven figures on mixed online/offline media, have analytics staff, and need statistically defensible measurement.
- Choose OneLence if you need the decision layer itself: a repeatable way to convert whatever signals you already have into confident next steps, without an enterprise contract or implementation project.
A different kind of output
From performance signals to a clear next move
OneLence does not add another reporting dashboard. It weighs timing, context, and evidence strength, then makes the decision state explicit.
FAQ
Frequently asked questions
How much does Rockerbox cost?
Rockerbox does not publish full pricing. Third-party sources report entry pricing in the low thousands per month and annual contracts in the tens of thousands of dollars, scaling with ad spend. It was acquired by DoubleVerify in February 2025. OneLence plans are public and flat, starting at $49/month.
What makes Rockerbox different from other attribution tools?
It unifies three measurement methodologies (multi-touch attribution, marketing mix modeling, and incrementality testing) and provides raw Snowflake data tables, making it popular with data-mature brands and offline-heavy media mixes (TV, CTV, direct mail).
When is OneLence the better choice?
When your team's bottleneck is deciding what to do next rather than building statistical measurement. OneLence delivers scale/hold/stop/review decisions across paid, affiliate, creator, referral, and organic sources from $49/month, with no data warehouse required.
Make the next move clearer
Decide what to scale, hold, or stop
Review marketing signals through context, timing, and evidence strength, then turn them into an action your team can defend.